NCEO LTS-S
Lead Research Organisation:
University of Leicester
Department Name: National Centre for Earth Observation
Abstract
NCEO research in this programme will make use of the latest, most interesting information from satellite data in combination with state-of-the-art NERC-supported global models of principally the land, atmosphere and ocean. NCEO staff have internationally recognised skills in analysing satellite data, evaluating models and merging the data into models (data assimilation) which will enable us to take major steps forward in analysing and understanding the Earth system and feedbacks between the component domains (air, water, land and ice) within it.
A primary underpinning NCEO activity is to produce high quality data sets from the latest satellite observations. We will use observations from ESA Earth Explorers, Eumetsat operational weather satellites, Copernicus Sentinels, NASA/NOAA research and operational missions and JAXA satellites. We will devise innovative algorithms to generate state-of-the-art Earth Observation (EO) data, with uncertainties, for significant variables which allow us to monitor and understand change and variability in the Earth system: vegetation change and stored carbon (biomass); fire radiative power and combustion completeness; surface reflectance and emissivity; atmospheric trace gases including CO2, CH4 and O3; aerosols, clouds and precipitation; top-of-atmosphere radiances and fluxes, surface temperatures over land and sea.
These datasets are powerful when combined with models. NCEO's second underpinning activity will provide a flexible community data assimilation tool for scientists to trial different methods and EO data with important community models. Uncertainties are critical to the performance of assimilation systems and NCEO scientists will characterise these for our key models and data, making them available publically. We will also examine new non-linear methods, collaborating with the mathematics community to ensure the appropriateness of our techniques.
Our assimilation methods and EO data will be employed in our three strategic Programme science areas: 1. Global and Regional Carbon Cycle (GRCC); 2. Large-scale coupling of the biosphere-atmosphere during the Anthropocene (BIOATM); 3. Diagnosing Energy and Water Exchanges in the Earth System (DEWEES).
The global carbon cycle plays a central role in the Earth system but a comprehensive understanding of its current state, main drivers and sensitivities remains a key challenge in climate science. In the GRCC area we will seek to meet this challenge, exploiting the developments made in our two underpinning activities to advance understanding of: dynamic carbon pools in ocean and land ecosystems; exchanges of carbon between the surface and atmosphere; regional carbon budgets. Ultimately, we will advance our data assimilation methods towards an integrated carbon observing system that links process models and global EO data across domains.
The atmosphere globally integrates spatially and temporally varying surface emissions over a wide range of time scales. Consequent atmospheric variations in affect weather, climate and air quality with feedbacks to the biosphere. In the BIOATM area we will quantify the links between the surface fluxes driving atmospheric composition, including the interactions between human and natural emissions, and assess large-scale consequences for variations and trends.
Energy flows between the surface, atmosphere and space play a fundamental role in establishing the large scale circulation that drives our weather and climate, being intrinsically coupled to the water cycle via the exchange of latent heat. However, understanding how clouds, precipitation and the land surface respond to, and themselves modify, changes to the circulation is a major challenge. In the DEWEES area we will develop the first global observational framework linking the large-scale circulation, convection and land surface processes in order to meet this challenge.
A primary underpinning NCEO activity is to produce high quality data sets from the latest satellite observations. We will use observations from ESA Earth Explorers, Eumetsat operational weather satellites, Copernicus Sentinels, NASA/NOAA research and operational missions and JAXA satellites. We will devise innovative algorithms to generate state-of-the-art Earth Observation (EO) data, with uncertainties, for significant variables which allow us to monitor and understand change and variability in the Earth system: vegetation change and stored carbon (biomass); fire radiative power and combustion completeness; surface reflectance and emissivity; atmospheric trace gases including CO2, CH4 and O3; aerosols, clouds and precipitation; top-of-atmosphere radiances and fluxes, surface temperatures over land and sea.
These datasets are powerful when combined with models. NCEO's second underpinning activity will provide a flexible community data assimilation tool for scientists to trial different methods and EO data with important community models. Uncertainties are critical to the performance of assimilation systems and NCEO scientists will characterise these for our key models and data, making them available publically. We will also examine new non-linear methods, collaborating with the mathematics community to ensure the appropriateness of our techniques.
Our assimilation methods and EO data will be employed in our three strategic Programme science areas: 1. Global and Regional Carbon Cycle (GRCC); 2. Large-scale coupling of the biosphere-atmosphere during the Anthropocene (BIOATM); 3. Diagnosing Energy and Water Exchanges in the Earth System (DEWEES).
The global carbon cycle plays a central role in the Earth system but a comprehensive understanding of its current state, main drivers and sensitivities remains a key challenge in climate science. In the GRCC area we will seek to meet this challenge, exploiting the developments made in our two underpinning activities to advance understanding of: dynamic carbon pools in ocean and land ecosystems; exchanges of carbon between the surface and atmosphere; regional carbon budgets. Ultimately, we will advance our data assimilation methods towards an integrated carbon observing system that links process models and global EO data across domains.
The atmosphere globally integrates spatially and temporally varying surface emissions over a wide range of time scales. Consequent atmospheric variations in affect weather, climate and air quality with feedbacks to the biosphere. In the BIOATM area we will quantify the links between the surface fluxes driving atmospheric composition, including the interactions between human and natural emissions, and assess large-scale consequences for variations and trends.
Energy flows between the surface, atmosphere and space play a fundamental role in establishing the large scale circulation that drives our weather and climate, being intrinsically coupled to the water cycle via the exchange of latent heat. However, understanding how clouds, precipitation and the land surface respond to, and themselves modify, changes to the circulation is a major challenge. In the DEWEES area we will develop the first global observational framework linking the large-scale circulation, convection and land surface processes in order to meet this challenge.
Planned Impact
The main beneficiaries of the project will be: government departments, particularly Defra, BEIS Climate Team and DfID and related agencies such as Environment Agency, Natural England and JNCC for environmental policy and regulation; the operational meteorological community who routinely use EO data and data assimilation; space agencies planning next generation systems and programmes to exploit current data sources; those involved in the development of the Copernicus programme; industry who will benefit from the latest scientific breakthroughs; IPCC and international reports. Our impact will be enhanced by publishing new datasets, organising and participating in conferences, developing MOOCs and developing outreach activities, using the successful EO Detective project as a template.
Science into Policy and its Implementation: UK public sector is showing increased interest in EO applications for cost effective services, stimulated by the free and open access to Copernicus data. Increasing the use of EO will depend, at least in part, on adopting new data methods beyond the current state-of-the-art. Our advances in data assimilation techniques, bringing data and models together offer the potential for improved services; for example we see advances in land-based data assimilation, as pioneered with the Forestry Commission to infer forest thinning influences on carbon budgets, as a model for future work.
Improving the Performance of the Operational Meteorological Community: Represented by the Met Office and ECMW, this group is the largest civil "consumer" of EO data and uses data assimilation on an operational basis. They will benefit from our work, for example, on observation error covariance estimation and atmospheric chemistry DA. Our work will support the Met Office in land surface model (JULES) development and provide new information on aerosol emissions sources, e.g., in relation to air quality forecasting and climate modelling. We will work together on the exploitation of EO datasets for targeted model evaluation, complementing work in LTSM UKESM and ACSIS. Both the Met Office and ECMWF have expressed interested in the EMPIRE DA software system for further development of their DA system.
Planning for the future with Space Agencies and for Copernicus: We will continue to work with the space agencies including UK Space Agency, and ESA to ensure science evidence is translated into new space technologies and influences future missions, stimulating industrial innovation and the provision of services. For example we will advise on future Copernicus Sentinels (particularly for future CO2 and Thermal Infrared missions) stemming from knowledge gained in our carbon programme and EO data activities. NCEO participation in the Copernicus Atmospheric Monitoring Service (CAMS) and Copernicus Climate Change Service (C3S) operated by ECMWF is a direct result of scientific developments in NCEO, e.g. in relation to fire emissions, sea surface temperature data, CO2 and CH4 monitoring and assimilation.
Wealth Creation: NCEO works both strategically and one-to-one with a range of companies (Airbus, SSTL, Thales Alenia Space, CGI and environmental data SMEs). Through NCEO's innovation programme we have invested in the Space4Climate group, which is broadening use of EO climate data in end user communities such as agriculture and insurance. We will work with UK space trade associations and present at industry led meetings, such as UK Space Conference. We will also support the activities of the Satellite Applications Catapult (eg NCEO is a member of SAC's East Midlands Centre of Excellence) and of the Institute for Environmental Analytics.
Maximising the UK Contribution to IPCC and International Reports: An important motivation for NCEO is the delivery of science to underpin the UK contribution to international reports such as the IPCC. Publications are key to this but we will also supply co-authors and expert reviewers.
Science into Policy and its Implementation: UK public sector is showing increased interest in EO applications for cost effective services, stimulated by the free and open access to Copernicus data. Increasing the use of EO will depend, at least in part, on adopting new data methods beyond the current state-of-the-art. Our advances in data assimilation techniques, bringing data and models together offer the potential for improved services; for example we see advances in land-based data assimilation, as pioneered with the Forestry Commission to infer forest thinning influences on carbon budgets, as a model for future work.
Improving the Performance of the Operational Meteorological Community: Represented by the Met Office and ECMW, this group is the largest civil "consumer" of EO data and uses data assimilation on an operational basis. They will benefit from our work, for example, on observation error covariance estimation and atmospheric chemistry DA. Our work will support the Met Office in land surface model (JULES) development and provide new information on aerosol emissions sources, e.g., in relation to air quality forecasting and climate modelling. We will work together on the exploitation of EO datasets for targeted model evaluation, complementing work in LTSM UKESM and ACSIS. Both the Met Office and ECMWF have expressed interested in the EMPIRE DA software system for further development of their DA system.
Planning for the future with Space Agencies and for Copernicus: We will continue to work with the space agencies including UK Space Agency, and ESA to ensure science evidence is translated into new space technologies and influences future missions, stimulating industrial innovation and the provision of services. For example we will advise on future Copernicus Sentinels (particularly for future CO2 and Thermal Infrared missions) stemming from knowledge gained in our carbon programme and EO data activities. NCEO participation in the Copernicus Atmospheric Monitoring Service (CAMS) and Copernicus Climate Change Service (C3S) operated by ECMWF is a direct result of scientific developments in NCEO, e.g. in relation to fire emissions, sea surface temperature data, CO2 and CH4 monitoring and assimilation.
Wealth Creation: NCEO works both strategically and one-to-one with a range of companies (Airbus, SSTL, Thales Alenia Space, CGI and environmental data SMEs). Through NCEO's innovation programme we have invested in the Space4Climate group, which is broadening use of EO climate data in end user communities such as agriculture and insurance. We will work with UK space trade associations and present at industry led meetings, such as UK Space Conference. We will also support the activities of the Satellite Applications Catapult (eg NCEO is a member of SAC's East Midlands Centre of Excellence) and of the Institute for Environmental Analytics.
Maximising the UK Contribution to IPCC and International Reports: An important motivation for NCEO is the delivery of science to underpin the UK contribution to international reports such as the IPCC. Publications are key to this but we will also supply co-authors and expert reviewers.
Organisations
- University of Leicester (Lead Research Organisation)
- Norwegian Meteorological Institute (Collaboration)
- ETH Zurich (Collaboration)
- Friedrich Schiller University Jena (FSU) (Collaboration)
- Telespazio Vega (IDEAS) (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- International Institute for Applied Systems Analysis (Collaboration)
- University of Kyoto (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Karlsruhe Institute of Technology (Collaboration)
- Teledyne Technologies International Corp (Collaboration)
- Japanese Aerospace Exploration Agency (Collaboration)
- University of Sheffield (Collaboration)
- University of Bath (Collaboration)
- University of Bremen (Collaboration)
- European Space Agency (Collaboration)
- Wageningen University & Research (Collaboration)
- Mercator Océan (Collaboration)
- Estellus (Collaboration)
- TU Wien (Collaboration)
- Dalhousie University (Collaboration)
- ESA - ESTEC (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- Meteorological Office UK (Collaboration)
- University of Cologne (Collaboration)
- Alan Turing Institute (Collaboration)
- University of Bern (Collaboration)
- University of Saskatchewan (Collaboration)
- National Oceanic and Atmospheric Administration (Collaboration)
- Eindhoven University of Technology (Collaboration)
- Euro-Mediterranean Center on Climate Change (CMCC) (Collaboration)
- SWANSEA UNIVERSITY (Collaboration)
- University of Toronto (Collaboration)
- Maasai Mara University (Collaboration)
- Marine Ecosystem And Prediction Task Team (MEAP-TT) (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- Council of Scientific and Industrial Research (CSIR) (Collaboration)
- Brockmann Consult (Collaboration)
- Japan Agency for Marine-Earth Science and Technology (Collaboration)
- Laboratoire des Sciences du Climat et de l'Environnement (Collaboration)
- Swedish Meteorological and Hydrological Institute (Collaboration)
- University of Oslo (Collaboration)
- ABERYSTWYTH UNIVERSITY (Collaboration)
- German Aerospace Centre (DLR) (Collaboration)
- Belgian Institute for Space Aeronomy (Collaboration)
- University of Potsdam (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- Max Planck Society (Collaboration)
- Chalmers University of Technology (Collaboration)
- Norwegian Seismic Array (Collaboration)
- German Weather Service (Collaboration)
- University of Helsinki (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- Norwegian Institute of Bioeconomy Research (Collaboration)
- Royal Netherlands Meteorological Institute (Collaboration)
- Institute of Marine Science (Collaboration)
- University of Bristol (Collaboration)
- Pierre and Marie Curie University - Paris 6 (Collaboration)
- Gamma Remote Sensing (Collaboration)
- European Organisation for the Exploitation of Meteorological Satellites (Collaboration)
- Danish Meteorological Institute (DMI) (Collaboration)
- National Aeronautics and Space Administration (NASA) (Collaboration)
- University of Tromso (Collaboration)
- UNIVERSITY OF LEICESTER (Collaboration)
- National Partnership for Ocean Prediction (NPOP) (Collaboration)
- Space Studies Centre of the Biosphere (CESBIO) (Collaboration)
- Finnish Meteorological Institute (Collaboration)
- Forschungszentrum Jülich (Collaboration)
- Portuguese Institute of Sea and Atmosphere (IPMA) (Collaboration)
- CERFACS (Collaboration)
- Free University of Brussels (Collaboration)
- Freie Universität Berlin (Collaboration)
- ACRI-ST (Collaboration)
- European Centre for Medium Range Weather Forecasting ECMWF (Collaboration)
- University of Toulouse (Collaboration)
- Rutherford Appleton Laboratory (Collaboration)
- Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA) (Collaboration)
- World Wide Fund for Nature (Collaboration)
- Data Assimilation Task Team (DA-TT) (Collaboration)
Publications
Ahmad Z
(2023)
Environmental sustainability and resilience in a polluted ecosystem via phytoremediation of heavy metals and plant physiological adaptations
in Journal of Cleaner Production
Allan D
(2019)
Seasonal Changes in the North Atlantic Cold Anomaly: The Influence of Cold Surface Waters From Coastal Greenland and Warming Trends Associated With Variations in Subarctic Sea Ice Cover
in Journal of Geophysical Research: Oceans
Allan R
(2023)
An even drier future for the arid lands
in Proceedings of the National Academy of Sciences
Allan R
(2022)
Global Changes in Water Vapor 1979-2020
in Journal of Geophysical Research: Atmospheres
Allan R
(2018)
Unrealistic Increases in Wind Speed Explain Reduced Eastern Pacific Heat Flux in Reanalyses
in Journal of Climate
Allan R
(2020)
Atmospheric precursors for intense summer rainfall over the United Kingdom
in International Journal of Climatology
Allan R
(2023)
Amplified seasonal range in precipitation minus evaporation
in Environmental Research Letters
Allan R
(2020)
Advances in understanding large-scale responses of the water cycle to climate change
in Annals of the New York Academy of Sciences
| Description | This grant has enabled new, high quality global data sets (from satellite) for environmental science, advances in techniques for data assimilation which is the framework by which models are modified by data, and discovery of improvements in our knowledge of Earth system processes. As a result, we have made advances in our understanding of the carbon cycle, of the control of atmospheric composition and its interaction with the and surface, and in energy and radiative processes. Climate model biases and uncertainties have been identified. Some highlights include: 1) Improving knowledge of terrestrial carbon stocks through unique biomass datasets; 2) New determinations of carbon net fluxes from satellite and in situ observations of carbon dioxide; 3) A new data assimilation (DA) capability for soil moisture in the JULES model ; 4) Quantifying the sources of aerosol across the Indo-Gangetic Plain (IGP) and policy-related shifts of crop-burning; 5) Development of an integrated framework for quantitative assessment of energy and water balances across the global surface ocean-land and atmosphere-to-space system. |
| Exploitation Route | Our results will be used by the global community of environmental scientists, by policy makers through international and national reports and by industry to design and build better satellite missions for observing the Earth. International services are building information products based on our data. Results from these activities are supporting other NERC-funded projects including the highlight topic project, DARE-UK, led by U. Bristol, examining greenhouse gas emissions in the UK; SECO, led by the U. Edinburgh, investigating carbon dynamics in the dry tropics; UNFOGS led by U. Leeds focussing on new, relevant laboratory chemistry data. We have considerable engagement with public sector bodies such as the Met Office, the Defra family of environmental agencies and the National Physical Laboratory. Internationally, there is huge activity through our datasets in working to produce synthesized datasets, undertake international comparisons and drive satellite missions. Support to new satellite missions includes TRUTHS (metrology for visible radiation and satellite inter-calibration), MicroCarb (first European mission dedicated to greenhouse gases), Sentinel high priority candidate missions (CO2M for carbon dioxide; LSTM for land surface temperature) and FORUM (first mission to measure systematically the far infrared spectrum of the Earth). |
| Sectors | Environment Financial Services and Management Consultancy |
| Description | Findings have been used to verify government policy with respect to understanding of carbon and greenhouse gases in the light of the Paris Agreement and COP-26 (Defra, BEIS); to agree spends of UK monies on international operational satellites and the launch of new technologies (UK Space Agency); to support thousands of farmers in Africa and associated agricultural insurances. We have considerable engagement with public sector bodies such as the Met Office, the Defra family of environmental agencies and the National Physical Laboratory. Our datasets, assimilation techniques and findings are fed into the Met Office through a myriad of activities, with particularly good connections through data assimilation theory, support of operational biogeochemical models and joint activities with the Hadley Centre particularly in surface temperature, surface controls on the atmosphere, aerosols and carbon stocks. We are pro-actively working with the Defra EO Centre of Excellence, e.g., with JNCC improving their knowledge of analysis-ready data for surface reflectance, air quality and greenhouse gases. CEFAS is applying a reanalysis delivered by the ocean biology assimilative system to assess the oxygen criteria of the Eutrophication Indicator in UK waters |
| First Year Of Impact | 2020 |
| Sector | Agriculture, Food and Drink,Environment |
| Description | Contributing with data to the Second Order Draft (SOD) of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2019 Refinement), Volume 4 (AFOLU), Chapter 4 (Forest Land), Table 4.7 (Above-Ground Biomass In Natural Forests). |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| Description | INFCOM 2 citation 2023 |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| URL | https://library.wmo.int/records/item/66287-commission-for-observation-infrastructure-and-information... |
| Description | Invited Expert onto the CEOS WGClimate Panel |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Invited Expert onto the GCOS-TOPC Panel |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| Description | LSTM Mission Advisory Group |
| Geographic Reach | Europe |
| Policy Influence Type | Membership of a guideline committee |
| Description | Lead Author WMO/UNEP Ozone Assessment 2022 |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Input to the Montreal Protocol on substances which protect the ozone layer. |
| Description | Lectures at ESA Earth Observation Summer School, August 2018 |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Approximately 70 early-career researchers from all round the world followed a 2-week course on Earth Observation in Frascati, Italy. I provided training in data assimilation through a series of lectures and computer exercises, Videos of the lectures are online and my introductory lecture has been watched over 170 times in 2 months. |
| URL | https://www.esa.int/spaceinvideos/Sets/Earth_observation_summer_school_lectures_2018 |
| Description | NCEO Researchers' Forum |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Training course in collaboration with ECMWF |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Lectures and tutorials were provided to students on a "Theory of data assimilation" course, linked to the ECMWF one-week course in data assimilation. 24 early career researchers from the UK, Europe and international were trained on the fundamentals of data assimilation. |
| URL | https://research.reading.ac.uk/met-darc/ecmwf2019/ |
| Description | Training course in collaboration with ECMWF |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Lectures and tutorials were provided to students on a "Theory of data assimilation" course, linked to the ECMWF one-week course in data assimilation. 23 early career researchers from the UK, Europe and international were trained on the fundamentals of data assimilation. |
| Description | Training course in collaboration with ECMWF |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Training course in data assimilation |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Training course in data assimilation |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://research.reading.ac.uk/met-darc/training/training-courses/ |
| Description | Training course on data assimilation for the Ghana Space Institute as part of NCEO ODA |
| Geographic Reach | Africa |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Umwelt Bundesamt citation 2023 |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| URL | https://www.umweltbundesamt.de/publikationen/satellite-based-emission-verification |
| Description | (SEAMLESS) - Services based on Ecosystem data AssiMiLation: Essential Science and Solutions |
| Amount | € 1,499,851 (EUR) |
| Funding ID | 101004032 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2021 |
| End | 12/2023 |
| Description | AMT4CO2Flux |
| Amount | £151,585 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 11/2021 |
| End | 04/2023 |
| Description | Advanced Surface Temperature Radiometer and Development of Global Network |
| Amount | £1,590,001 (GBP) |
| Funding ID | RS04976 |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 03/2025 |
| Description | Advancing the Frontiers of Earth System Prediction |
| Amount | £500,000 (GBP) |
| Organisation | University of Reading |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2024 |
| End | 08/2029 |
| Description | Agri-Tech in China Newton Network+ |
| Amount | £124,413 (GBP) |
| Funding ID | LG007 |
| Organisation | Rothamsted Research |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 03/2019 |
| Description | Assessment of the potential use of high resolution Thermal Infra-Red (TIR) bands |
| Amount | € 400,000 (EUR) |
| Funding ID | 4000120368/17/NL/AF/hh |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 04/2017 |
| End | 04/2020 |
| Description | AtlantECo (H2020) |
| Amount | £259,019 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 08/2020 |
| End | 09/2025 |
| Description | BICEP (ESA) |
| Amount | £325,492 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2020 |
| End | 06/2022 |
| Description | BIOMASS calibration CCN |
| Amount | € 17,000 (EUR) |
| Funding ID | 4000128937/15/NL/CT |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2023 |
| End | 04/2023 |
| Description | C3S2 Lakes |
| Amount | € 177,918 (EUR) |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 09/2024 |
| Description | C3S2 Oceans |
| Amount | € 92,306 (EUR) |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2021 |
| End | 01/2023 |
| Description | CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas) |
| Amount | £501,040 (GBP) |
| Funding ID | NE/R006849/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 03/2022 |
| Description | CASE studentship |
| Amount | £3,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 09/2024 |
| Description | CASE studentship |
| Amount | £3,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 09/2024 |
| Description | CCI+ Phase 1 supplement |
| Amount | € 172,424 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 02/2019 |
| End | 06/2022 |
| Description | CGLOPS2 |
| Amount | € 30,564 (EUR) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2021 |
| End | 03/2023 |
| Description | CLEAR Instrument for the UK EO Marine & Climate Mission Programme |
| Amount | £499,515 (GBP) |
| Funding ID | STFC STDA01697 EO4MCM |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2024 |
| End | 03/2025 |
| Description | COPERNICUS SPACE COMPONENT VALIDATION FOR LAND SURFACE TEMPERATURE, AEROSOL OPTICAL DEPTH AND WATER VAPOUR SENTINEL-3 PRODUCTS |
| Amount | € 1,500,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2020 |
| End | 12/2021 |
| Description | CSSP Brazil BZ2: Evaluation of South American Ecosystem Processes |
| Amount | £250,000 (GBP) |
| Organisation | Newton Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 03/2021 |
| Description | Climate Change Initiative |
| Amount | £3,000,000 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2022 |
| End | 01/2025 |
| Description | Copernicus Climate Change Service - Lot 1 Atmospheric Physics - 1st 12 months |
| Amount | € 2,000,000 (EUR) |
| Funding ID | C3S2_312a Lot 1 |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2022 |
| End | 12/2024 |
| Description | Copernicus Climate Change Service C3S_312b_Lot2 |
| Amount | £148,705 (GBP) |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2018 |
| End | 06/2021 |
| Description | Copernicus Climate Change Service Lot 2 Atmospheric Composition 1st 12 months |
| Amount | € 2,000,000 (EUR) |
| Funding ID | C3S2_312a Lot 2 |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2022 |
| Description | DEFRA AQ |
| Amount | £126,723 (GBP) |
| Funding ID | ecm_55415 |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 12/2020 |
| Description | Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK) |
| Amount | £200,586 (GBP) |
| Funding ID | NE/S003746/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 03/2024 |
| Description | Development and application of Earth Observation to support reductions in methane emission from agriculture (EOforCH4) |
| Amount | £126,651 (GBP) |
| Funding ID | ST/Y000390/1 |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 03/2025 |
| Description | Development of Operational Prototype of GHGWatch |
| Amount | £297,509 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 03/2022 |
| Description | EO Africa |
| Amount | € 250,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 09/2022 |
| End | 10/2024 |
| Description | EO UK - Australia EO4CH4 |
| Amount | £500,000 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 03/2025 |
| Description | EO4Society |
| Amount | € 23,723 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2022 |
| End | 10/2022 |
| Description | EO4Society - Restore-IT |
| Amount | € 150,000 (EUR) |
| Funding ID | 4000136484/21/I-DT-lr |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 12/2021 |
| End | 12/2022 |
| Description | ESA CCI Climate Modelling User Group |
| Amount | € 1,700,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 08/2023 |
| End | 08/2026 |
| Description | ESA CCI Land Surface Temperature |
| Amount | € 1,745,720 (EUR) |
| Funding ID | 4000123553/18/I-NB |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 04/2018 |
| End | 10/2021 |
| Description | ESA CCI+ New R&D on CCI ECVs |
| Amount | € 8,371,016 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 09/2018 |
| End | 09/2021 |
| Description | ESA CCI+ Ozone continuation CCN1 |
| Amount | € 340,000 (EUR) |
| Funding ID | 4000126562/19/I-NB CCN1 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 06/2022 |
| End | 07/2024 |
| Description | ESA Climate Change Initiative (CCI+) Water Vapour - Continuation |
| Amount | £1,300,000 (GBP) |
| Funding ID | 4000123554/18/I-NB Water Vapour_CCI CCN 3 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 08/2022 |
| End | 09/2025 |
| Description | ESA Earth Observation Envelope Programme - Data User Element (GlobTemperature) |
| Amount | € 332,995 (EUR) |
| Funding ID | 4000xxx/13/I-AM |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 11/2013 |
| End | 12/2017 |
| Description | ESA LSTM End-2-End Mission Performance Simulator (E2ES) Study |
| Amount | € 250,000 (EUR) |
| Funding ID | 4000125870/18/NL/LF |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 11/2018 |
| End | 03/2020 |
| Description | ESA Living Planet Fellowship |
| Amount | € 82,914 (EUR) |
| Funding ID | EOP-S/14/008/DFP-dr |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2015 |
| End | 03/2017 |
| Description | ESA Methane+ continuation CCN1 |
| Amount | € 100,000 (EUR) |
| Funding ID | ESA contract 4000129987/20/I-DT CCN1 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2023 |
| End | 03/2024 |
| Description | ESA Sentinel-3 Mission Performance Centre (S3MPC) |
| Amount | € 354,466 (EUR) |
| Funding ID | 4000111836/14/I-LG |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 09/2018 |
| End | 12/2021 |
| Description | ESA-Future Earth COP26 Demonstrator |
| Amount | € 24,914 (EUR) |
| Funding ID | ESA-2020-04 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 08/2020 |
| End | 08/2021 |
| Description | EUMETSAT Visiting Scientist Scheme (Intercomparison of the CM SAF and GlobTemperature LST TCDR Project) |
| Amount | € 21,000 (EUR) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Sector | Public |
| Country | Germany |
| Start | 03/2016 |
| End | 10/2016 |
| Description | Euro-Argo RISE (H2020) |
| Amount | £31,828 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 02/2019 |
| End | 01/2023 |
| Description | FLEX DISC |
| Amount | € 16,750,000 (EUR) |
| Funding ID | AO/1-1-11684/23/I-DT |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2024 |
| End | 05/2030 |
| Description | FRM4SOC 2 |
| Amount | £114,632 (GBP) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Sector | Public |
| Country | Germany |
| Start | 03/2021 |
| End | 03/2023 |
| Description | FY2017 JSPS Invitational Fellowship for Research in Japan (Long-term) |
| Amount | ￥1,550,400 (JPY) |
| Organisation | Japan Society for the Promotion of Science (JSPS) |
| Sector | Public |
| Country | Japan |
| Start | 03/2017 |
| End | 07/2017 |
| Description | Flood and Coastal Resilience Innovation Programme |
| Amount | £250,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2027 |
| Description | Future Missions/FORUM |
| Amount | £769,231 (GBP) |
| Funding ID | 4000137153/22/NL/IA |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 12/2021 |
| End | 12/2023 |
| Description | GCOM-C Satellite Validation 2018-2019 |
| Amount | ￥1,500,000 (JPY) |
| Organisation | Japanese Aerospace Exploration Agency |
| Sector | Public |
| Country | Japan |
| Start | 03/2018 |
| End | 03/2019 |
| Description | GHGWatch - a multi-sensor approach to Greenhouse Gas Detection, |
| Amount | £226,295 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 03/2021 |
| Description | GRIP Australia EO4 Climate Agritec |
| Amount | £181,000 (GBP) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 03/2022 |
| Description | Grant for Scoping Meeting of Working Group on Earth Observations for Ecology and Epidemiology of Water-associated Diseases |
| Amount | € 9,780 (EUR) |
| Funding ID | http://www.ocean-partners.org/earth-observation-ecology-and-epidemiology-water-associated-diseases |
| Organisation | Partnership for Observation of the Global Oceans, POGO |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 03/2019 |
| Description | Ground-Based Observations for validation (GBOV) of Copernicus Global Land Products |
| Amount | € 172,000 (EUR) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 09/2017 |
| End | 06/2021 |
| Description | Ground-Based Observations for validation (GBOV) of Copernicus Global Land Products - Phase 2 |
| Amount | € 2,000,000 (EUR) |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 12/2021 |
| End | 12/2025 |
| Description | HEEPS/opti |
| Amount | € 10,701 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 09/2021 |
| End | 02/2022 |
| Description | Heat Data for cities: a pilot project with Ordnance Survey in support of UK climate change actions |
| Amount | £20,000 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2022 |
| End | 03/2022 |
| Description | Horizon Europe Guarantee |
| Amount | £243,029 (GBP) |
| Funding ID | 10066549 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 12/2026 |
| Description | HydroJULES Data Assimilation |
| Amount | £50,000 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 03/2020 |
| Description | Industrial Strategy Challenge Fund (ISCF) Agri-tech Seeding Catalyst Award |
| Amount | £10,000 (GBP) |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2018 |
| End | 02/2019 |
| Description | JAXA2021 |
| Amount | ￥1,500,000 (JPY) |
| Organisation | Japanese Aerospace Exploration Agency |
| Sector | Public |
| Country | Japan |
| Start | 02/2022 |
| End | 03/2022 |
| Description | LST CCI Phase 2 |
| Amount | € 141,256 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2022 |
| End | 03/2025 |
| Description | LSTM L2: LSTM Level 2 Processor/Product development and associated Cal/Val |
| Amount | € 4,400,000 (EUR) |
| Funding ID | ESA-CIP-POE-EF-cb-LE-2022-391 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2023 |
| End | 04/2030 |
| Description | LSTM Mission Performance Consolidation Study |
| Amount | € 249,998 (EUR) |
| Funding ID | 4000140005/23/NL/SD |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2023 |
| End | 07/2025 |
| Description | Land Surface Temperature Climate Change Initiative (LST_cci) Phase-2 |
| Amount | € 1,300,000 (EUR) |
| Funding ID | 4000123553/18/I-NB |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2022 |
| End | 03/2025 |
| Description | Land Use for Net Zero (LUNZ) Hub |
| Amount | £6,250,000 (GBP) |
| Funding ID | BB/Y008723/1 |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2023 |
| End | 03/2027 |
| Description | Met Office Academic Partnership PDRA |
| Amount | £150,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2022 |
| End | 07/2025 |
| Description | Met Office Case Award for NERC Panorama - NCEO PhD Studentship |
| Amount | £3,500 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2023 |
| End | 03/2027 |
| Description | Methane+ CCN |
| Amount | € 44,553 (EUR) |
| Funding ID | ESA Contract No. 400019987/20/I-DT/1.0 (Methane+) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 08/2022 |
| End | 11/2023 |
| Description | Microcarb |
| Amount | £300,000 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 12/2021 |
| Description | NERC Knowledge Exchange Fellowship |
| Amount | £232,000 (GBP) |
| Funding ID | NE/Y005147/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 12/2026 |
| Description | NGS-ASLSTR Sentinel 3 - Next Generation Optical Phase 0/A Scientific Support Study for ASLSTR |
| Amount | € 300,000 (EUR) |
| Funding ID | RFP/3-17953/22/NL/VA |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2023 |
| End | 07/2024 |
| Description | NOWMAPS 2 - EU Copernicus Marine Environment Monitoring Service (CMEMS) - Monitoring and Forecasting Centre of the North-West European Shelf-Seas (MFC NWS) |
| Amount | € 1,000,000 (EUR) |
| Organisation | Copernicus Marine Environment Monitoring Service |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2018 |
| End | 03/2021 |
| Description | NOWMAPS-3 |
| Amount | € 3,600,000 (EUR) |
| Organisation | Copernicus Marine Environment Monitoring Service |
| Sector | Public |
| Country | European Union (EU) |
| Start | 12/2021 |
| End | 12/2022 |
| Description | NUBICOS - Horizon Europe |
| Amount | £3,470,000 (GBP) |
| Funding ID | 10101542 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 12/2027 |
| Description | Newton Fund: IND21_1.5 P109792 - Novel Assimilation Methods for Coupled Atmosphere-ocean Prediction Follow On (NAMCAP-FO) extension |
| Amount | £188,498 (GBP) |
| Organisation | Newton Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2023 |
| Description | Newton-Fund CSSP-China VEgetation near Real time Detection And moNiToring for China (VERDANT) Project |
| Amount | £221,755 (GBP) |
| Funding ID | P107722 |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2021 |
| Description | Novel Assimilation Methods for Coupled Atmosphere-ocean Prediction (NAMCAP) |
| Amount | £191,588 (GBP) |
| Funding ID | P107915 |
| Organisation | Newton Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2021 |
| Description | Novel Assimilation Methods for Coupled Atmosphere-ocean Prediction Follow On (NAMCAP-FO) |
| Amount | £120,191 (GBP) |
| Funding ID | IND21_1.5 P109792 |
| Organisation | Newton Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 03/2022 |
| Description | Novel Assimilation Methods for Coupled Atmosphere-ocean Prediction Follow On (NAMCAP-FO) extension |
| Amount | £90,741 (GBP) |
| Funding ID | IND21_1.5 P109792 |
| Organisation | Newton Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 09/2023 |
| Description | OC-CCI (ESA) |
| Amount | £861,666 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2019 |
| End | 03/2022 |
| Description | OPTIMA (Optical Data Modelling and Assimilation) - Copernicus Marine Environment Monitoring Service (CMEMS) - Service Evolution |
| Amount | € 122,585 (EUR) |
| Organisation | Copernicus Marine Environment Monitoring Service |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2018 |
| End | 03/2020 |
| Description | Ocean-Colour Data in Climate studies |
| Amount | £41,067 (GBP) |
| Funding ID | NE/P020135/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2018 |
| Description | Optical Mission Performance Cluster (OPT-MPC) |
| Amount | € 20,000,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2022 |
| End | 12/2026 |
| Description | Pathways Of Dispersal for Cholera And Solution Tools (PODCAST) |
| Amount | £404,617 (GBP) |
| Funding ID | NE/S012567/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 02/2022 |
| Description | Phase A/B1/B2/C/D - Land Surface Temperature Monitoring Mission |
| Amount | £158,000 (GBP) |
| Organisation | Airbus Group |
| Department | Airbus Defence & Space |
| Sector | Private |
| Country | United States |
| Start | 03/2019 |
| End | 04/2027 |
| Description | REVIVAL |
| Amount | £484,885 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2018 |
| End | 12/2021 |
| Description | Research Experience Placement (REP): Summer placement funding for an undergraduate student to use TROPOMI NO2 data to derive UK NOx emissions |
| Amount | £1,000 (GBP) |
| Organisation | University of Leeds |
| Department | School of Earth and Environment |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 07/2019 |
| Description | SNOWITE |
| Amount | € 200,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2021 |
| End | 06/2022 |
| Description | SPRINT - ESDIM (Environmental Sites Data Intelligent Monitoring) |
| Amount | £49,950 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 03/2022 |
| Description | Satellite Monitoring of Atmospheric Methane |
| Amount | € 1,500,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2024 |
| End | 12/2025 |
| Description | Scientific Service Support for GHG Product Processing and Continuous Cal/Val Requirements Definition using UoL-FP |
| Amount | £501,792 (GBP) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Sector | Public |
| Country | Germany |
| Start | 09/2019 |
| End | 09/2023 |
| Description | SeaBIOMES |
| Amount | £972,180 (GBP) |
| Organisation | Simons Foundation |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 06/2017 |
| End | 06/2022 |
| Description | Self-Learning Digital Twins for Sustainable Land Management |
| Amount | £2,492,148 (GBP) |
| Funding ID | EP/Y00597X/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2023 |
| End | 03/2025 |
| Description | Sentinel 4 L2 processor development contract change notices (CCNs) 4-12 |
| Amount | £179,000 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 12/2019 |
| End | 12/2022 |
| Description | Sentinel 5 Precursor Mission Performance Centre extension CCN8 |
| Amount | € 26,647 (EUR) |
| Funding ID | MPC-KNMI-CC-0003-SD-service-level-agreement CCN8 |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 09/2021 |
| End | 03/2022 |
| Description | Sentinel 5 precursor mission performance centre CCN6 |
| Amount | £128,000 (GBP) |
| Organisation | European Space Agency |
| Department | ESRIN |
| Sector | Public |
| Country | Italy |
| Start | 03/2020 |
| End | 12/2021 |
| Description | Sentinel-4 Level-2 Processor CCN17 |
| Amount | € 38,676 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 05/2023 |
| End | 03/2024 |
| Description | Sentinel-4 Level-2 Processor Contract Change Notices 14 & 15 |
| Amount | £172,000 (GBP) |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 08/2022 |
| End | 03/2024 |
| Description | Sentinel-5 Level-2 Processor CCN10 |
| Amount | € 57,029 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 04/2023 |
| End | 12/2024 |
| Description | Sentinel-5 Precursor Mission Performance Centre CCN11 |
| Amount | € 36,486 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2022 |
| End | 12/2022 |
| Description | Sentinel-5p+ Innovation WaterVapour Isotopologue |
| Amount | £99,918 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 06/2019 |
| End | 06/2021 |
| Description | Solar wind data assimilation - maximising the accuracy of space-weather forecasting |
| Amount | £357,854 (GBP) |
| Funding ID | NE/S010033/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2019 |
| End | 04/2022 |
| Description | Space4Climate |
| Amount | £501,251 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2025 |
| Description | Standard grant |
| Amount | £387,224 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2022 |
| End | 04/2025 |
| Description | Study for Alternative MAP-based CO2 Retrieval Algorithm |
| Amount | € 100,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2021 |
| End | 12/2021 |
| Description | TIRCALNet |
| Amount | € 200,000 (EUR) |
| Funding ID | 4000143150/23/I-DT-bgh |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 01/2024 |
| End | 06/2025 |
| Description | TONOEC - Funding to support the research for the coordination and submission of a proposal for a large Horizon Europe grant (TOPIC ID: HORIZON-CL4-2022-SPACE-01-41) |
| Amount | £10,000 (GBP) |
| Organisation | The British Academy |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 11/2021 |
| End | 03/2022 |
| Description | TRUTHS Mission Accompanying Consolidation Study |
| Amount | € 14,776 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 08/2021 |
| End | 05/2023 |
| Description | TRUTHS Mission Accompanying Consolidation Study CCN3 |
| Amount | € 29,307 (EUR) |
| Funding ID | ESA RFP/3-16931/20/NL/FF/an |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 06/2023 |
| End | 04/2024 |
| Description | TRUTHS URD - User requirements Study for SI traceable measurements of Incoming and Reflected Spectrally Resolved Solar Radiance and Irradiance |
| Amount | £62,199 (GBP) |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 09/2019 |
| End | 03/2020 |
| Description | TRUTHS User Requirements Study for SI Traceable Measurements of Incoming and Reflected Spectrally Resolved Solar Radiance and Irradiance |
| Amount | £175,000 (GBP) |
| Funding ID | 4000128791/19/NL/FF/ab |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | |
| End | 06/2020 |
| Description | Thermal InfraRed Imager Scientific sIMulation study (TIRI-SIM) |
| Amount | € 90,000 (EUR) |
| Funding ID | 4000117242/16/NL/FF/mc |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 06/2016 |
| End | 06/2017 |
| Description | Transatlantic Data Science Academy Scoping Project |
| Amount | £569,705 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 11/2023 |
| End | 07/2024 |
| Description | UK Analysis-Ready Data Tests in Support of CEOS Standards |
| Amount | £12,330 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 05/2019 |
| Description | UK Earth Observation Climate Information Service |
| Amount | £7,740,000 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 03/2025 |
| Description | UKRI FLF - The First Environmental Digital Twin Dedicated to Understanding Tropical Wetland Methane Emissions for Improved Predictions of Climate Change - Rob Parker |
| Amount | £1,600,000 (GBP) |
| Funding ID | MR/X033139/1 |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2024 |
| End | 03/2028 |
| Description | WCSSP India |
| Amount | £9,677,379 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 03/2022 |
| Title | Basic tools in Data Assimilation |
| Description | Code containing basic data assimilation methods (variational, ensemble Kalman filters, particle filters) in some simple systems. This was used for training purposes in an international DA course (in partnership with ECMWF) and the tools are available online for download and practice. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | PhD students from different institutions can use these tools in their research as they are, or they can use it as base to build more complicated tools. |
| URL | https://research.reading.ac.uk/met-darc/ecmwf2020/ |
| Title | Capability to effectively assimilate phytoplankton functional types in NEMOVAR |
| Description | Balancing scheme enabling us to update biomass of phytoplankton functional types (PFTs) either using total chlorophyll assimilation or, PFT chlorophyll assimilation. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Operational reanalyses of PFTs for the North-West European Shelf (NWES) produced by the Met Office for CMEMS and range of other stakeholders. It also supports operational forecasts for NWES biogeochemsitry run at the Met Office. |
| Title | (A)ATSR cloud properties and radiation products |
| Description | Multi-year global data on cloud properties retrieved from the ATSR-2 and AATSR instruments on ERS-2 and Envisat, respectively, and derived top and bottom of atmosphere shortwave and longwave radiative fluxes. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This data set was delivered to the EUs Copernicus Climate Change Service and available to users through the Climate Data Store. |
| URL | https://climate.copernicus.eu/climate-data-store |
| Title | 2010-2018 global methane emissions inferred from GOSAT satellite observations |
| Description | The dataset includes gridded methane emission fluxes from a global inversion of GOSAT methane (CH4) observations by Zhang et al. (2021) (https://doi.org/10.5194/acp-21-3643-2021). Monthly prior and posterior sectoral emissions from 2010-2018 are reported on a 4x5 degree grid. Source sectors include anthropogenic (oil exploitation, gas exploitation, coal mining, livestock, rice cultivation, wastewater treatment, landfills, and other anthropogenic sources) and natural (wetlands, geological seeps, termites, and biomass burning). The total methane flux is also reported. Usually small differences exist between the total methane flux and the sum of sectoral fluxes, which is due to the soil absorption flux.The monthly gridded sectoral emission flux product presented in this dataset are derived from an inversion by Zhang et al. (2021). Original inversion results (including posterior scaling factors, error covariance, and averaging kernel matrix) are archived at https://doi.org/10.5281/zenodo.4052518 Although monthly gridded sectoral emissions are reported here, this does not mean that the inversion can resolve emissions for each 4x5 degree grid cell by sector on a monthly basis. See the description below and Zhang et al. (2021) for the inversion configuration. The main purpose of creating this dataset is to facilitate follow-up transport model simulations and analysis. A brief description of the inversion configuration: The inversion is performed with the GEOS-Chem model for the period of 2010-2018 with GOSAT CO2-proxy CH4 retrievals from Parker and Boesch (2020). The inversion optimizes mean and trend of non-wetland emissions, monthly wetland emissions for 14 subcontinental regions, and annual hemispheric OH concentrations (methane loss rates). Sector attribution of posterior non-wetland emissions in a 4x5 degree grid cell is done on the basis of the relative contribution of a sector to prior emissions in the grid cell. Detailed description of the methodology can be found in Zhang et al. (2021). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://www.scidb.cn/en/detail?dataSetId=6af071bd156a46e0974fadb5ebe1209c |
| Title | A global database of vertical profiles derived from Biogeochemical Argo float measurements for biogeochemical and bio-optical applications |
| Description | The presented database includes 0-1000 m vertical profiles of bio-optical and biogeochemical variables acquired by autonomous profiling Biogeochemical-Argo (BGC-Argo) floats. Data have been collected between October 2012 and January 2016, around local noon, in several oceanic areas encompassing the diversity of ocean's trophic environments. The database includes profiles of downward irradiance at 3 wavelengths (380, 412 and 490 nm), photosynthetically available radiation, chlorophyll a concentration, fluorescent dissolved organic matter, and particle light backscattering at 700 nm. All variables have been quality controlled following specifically-developed procedures, that aimed to support biogeochemical and bio-optical applications at the global scale. Data corruption by biofouling and any instrumental drift has also been verified. Moreover, to allow users for different biogeochemical applications, vertical profiles of chlorophyll a and particle light backscattering at 700 nm have been presented before and after advanced processing (e.g., non-photochemical quenching correction, identification of spikes). Vertical profiles of temperature and salinity associated to these bio-optical data are also provided although they have been only quality-controlled for sensor issues related to bio-fouling and instrumental drift. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | n/a |
| URL | https://www.seanoe.org/data/00383/49388/ |
| Title | A statistical method for structural error diagnostic in multiple EO data |
| Description | An EOF-based statistical model designed to diagnose structural error in multiple EO data. |
| Type Of Material | Data analysis technique |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The estimated structural bias in EO data can be used to generate off-diagonal error covariances in the Earth's energy budget inverse model. The spatially correlated bias map can be used to improve the domain selection/definition for regional energy budget. |
| Title | ACOS GOSAT v9 Super Lite XCO2 data |
| Description | This data set consists of a set of monthly NetCDF files containing the GOSAT quality filtered and bias corrected XCO2 values derived from the version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 full physics (L2FP) retrieval algorithm. Only the most essential variables for each satellite observation are preserved in these "superlite" files: latitude and longitude (both at the surface viewing location), the unique sounding identification number (format is: 4 digit year, 2 digit month, 2 digit day, 2 digit hour, 2 digit minute, 2 digit second), and the estimated dry-air mole fraction of total column carbon dioxide in parts per million. The monthly files also contain the set of operational L2FP "lite" files from which the data was extracted, and which can be downloaded from the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) (10.5067/VWSABTO7ZII4). This superlite "teaser" product is a companion to the recently published journal article "An eleven year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm" in Earth System Science Data by T.E. Taylor, et al. (https://doi.org/10.5194/essd-2021-247) It is meant to provide entry level users with a light weight satellite product for initial exploration. Interested users of the superlite product are encouraged to reach out to Tommy Taylor (tommy.taylor@colostate.edu) and/or Dr. Chris O'Dell (christopher.odell@colostate.edu) with questions on best uses practices for the GOSAT v9 XCO2 data. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://data.caltech.edu/records/2178 |
| Title | Aerosol properties gridded data from 1995 to present derived from satellite observations |
| Description | Aerosol properties retrieved using the ORAC scheme from the ATSR-2 and AATSR instruments on ERS-2 and Envisat, respectively. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The data set was delivered to the EU Copernicus Climate Change Service and is on the Climate Data Store |
| URL | https://cds.climate.copernicus.eu/doi/10.24381/cds.239d815c |
| Title | CARDAMOM Brazil C-cycle analysis (1x1 degree; monthly; 2001-2017) |
| Description | This dataset contains a netCDF file reporting terrestrial C-cycle analysis of Brazil at 1 x 1 degree spatial and monthly temporal resolutions for 2001 to 2017. The analysis uses the CARDAMOM model-data fusion framework to retrieve information on Brazil's terrestrial C-cycle uncertainty uniquely for each location based on location and time specific observations and their uncertainties. The files contains pixel-level estimates of C storage (plant tissues and dead organic matter), C fluxes (photosynthesis, respiration, fire emissions), allocation of C to plant tissues and their residence times. All variables include uncertainty information reporting the 2.5 %, 25 %, 50 %, 75 % and 97.5% quantiles. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This dataset supports uncertainty bounded benchmarking of JULES and INLAND land surface models C-cycle processes. The benchmarking allows identification of model-observation mismatch and targeting of the underlying process responsible for the error. |
| URL | https://datashare.ed.ac.uk/handle/10283/3841 |
| Title | CARDAMOM Brazil C-cycle multi-DALEC, multi-CMIP6 scenarios (1x1 degree; monthly; 2001-2017) |
| Description | Dataset continues CARDAMOM output for the calibration of 5 DALEC C-cycle models (M1-5) across Brazil for a 17 year period (2001-2017) at a monthly time step and 1 x 1 degree spatial resolution. The calibration used Earth Observation derived estimates of leaf area, above ground woody biomass and databased soil carbon stocks. The calibrated models were then projected to 2100 using 4 climate change scenarios drawn from the UKESM submission to CMIP6. The dataset includes C-stocks, fluxes and ecosystem properties along with their associated parameteric uncertainties. Separate files exist for each model, calibration period and climate change scenario. The multi-model ensemble provides a quantification of the role of model structural uncertainty allowing partitioning of the relative importance of parametric, model structure and climate change scenario uncertainties. This dataset is associated with a paper intended for submission to Earth System Dynamics. Smallman et al., (in prep) Parameter uncertainty dominates forecast error across Brazil for much of the 21st Century. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Explicit quantification of the relative roles of parametric, model structural and climate change uncertainties on the simulated trajectories and uncertainty of Brazilian ecosystems to 2100 |
| URL | https://datashare.ed.ac.uk/handle/10283/3856 |
| Title | CARDAMOM Kenyan C-cycle analysis (0.25 degree, monthly, 2014-2017): Forest and savannah specific |
| Description | This dataset contains two netCDF file reporting terrestrial C-cycle analysis of Kenya at 0.25 x 0.25 degree spatial and monthly temporal resolutions for 2014 to 2017. One analysis specifically focused on forested land of Kenya, the other analysis focused on savannah land. The analysis uses the CARDAMOM model-data fusion framework to retrieve information on Kenya's terrestrial C-cycle uncertainty uniquely for each location based on location and time specific observations and their uncertainties. The files contains pixel-level estimates of C storage (plant tissues and dead organic matter), C fluxes (photosynthesis, respiration, fire emissions), allocation of C to plant tissues and their residence times. All variables include uncertainty information reporting the 2.5 %, 25 %, 50 %, 75 % and 97.5% quantiles. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Provides a first demonstration of a model-data fusion analysis where the observational constraints are derived from aggregating fine spatial scale information about specific ecosystems (i.e. forest or savanna) to a coarse resolution analysis allowing for the inclusion of ecosystem specific analysis achieved in a computationally efficient way. This analysis underpins future continental scale analyses. |
| URL | https://datashare.ed.ac.uk/handle/10283/3848 |
| Title | CARDAMOM panarctic retrievals 2000-2015 |
| Description | Pan Arctic estimates of C cycling at 1 degree resolution, from 2000-2015, at monthly resolution with confidence intervals. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | This results underpin a publication by Lopez-Blanco et al. |
| URL | http://datashare.is.ed.ac.uk |
| Title | CARDAMOM pantropical retrievals 2000-2015 |
| Description | This dataset includes netCDF files reporting pantropical retrievals of the terrestrial carbon cycle using the CARDAMOM model-data fusion framework. Two experiments are included that alternatively include or omit fire disturbances. For each experiment, 4 files are included that report mean annual land-atmosphere carbon fluxes, carbon allocation to plant parts, vegetation and dead organic matter carbon pool sizes and transit times. Files include the pixel-wise uncertainty by reporting the median value as well as bounds of the 95%, 90% and 50% confidence intervals. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Demonstrated that fire impacts on ecological traits can be inferred through models data fusion. Demonstrated a knowledge gap in current generation of land surface models used in global analyses - that they do not vary their plant traits in response to fire impacts. |
| URL | https://datashare.ed.ac.uk/handle/10283/3039 |
| Title | Calibrated Far-infrared radiances and atmospheric state datasets used to retrieve emissivity of water from 400 - 1300 cm-1 |
| Description | This repository contains calibrated radiance measurements from the FINESSE instrument and related auxilary files as referenced in the article "The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) Part II: First measurements of the emissivity of water in the far-infrared." by Warwick, L., Murray, J. and Brindley, H |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Demonstrates the capability of a new instrument, FINESSE, to retrieve the spectrally and angularly resolved emissivity of a given target. FINESSE extends the capability of exisiting instruments into the Far-Infrared in support of new Far-Infrared satellite missions from ESA (FORUM) and NASA (PREFIRE) |
| Title | Clinical dataset of cholera incidence in coastal district in India |
| Description | Surveillance data of cholera outbreaks at the district level in India over the period July 2009 to December 2019 were collected from publicly available weekly epidemiological reports published in Portable Document Format by the Integrated Disease Surveillance Programme of India (IDSP). Each report describes the incidences of communicable diseases for a given week with detailed information per state and district on the disease, number of cases, number of deaths, start date, reporting date, current status and comments related to each outbreak. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The epidemiological datasets of have been used has a core input for the development of machine learning model to produce environmental cholera-risk forecast based on combination satellite climate data records. We have demonstrated a novel application of machine learning for cholera risks in coastal India. The algorithm identified correctly 89.5% of outbreaks across all coastal Indian district reporting cholera outbreaks. We are investigating potential for transfer of model to other regions and possible inclusion of socio-economic data. Peer-reviewed article has been published in Dec 2020 in the peer-reviewed journal Int. J. Environ. Res. Public Health. Amy Campbell is first author, and Dr Racault is corresponding author. The results have been presented by Amy Campbell at the International Symposium Ocean & Human Health 2-3 Dec 2020. The paper has achieved an altimetric score of 57 (In the top 5% of all research outputs scored by Altmetric). The paper has been taken up by more than 7 news outlets including the BBC world news. The results have also been presented in a press release by ESA https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Space_for_Earth/Space_for_health/Cholera_outbreaks_predicted_using_climate_data_and_AI |
| URL | https://www.mdpi.com/1660-4601/17/24/9378 |
| Title | Coefficients for the SMACPy atmospheric correction algorithm |
| Description | This dataset stores coefficients used by the updated Simplified Method for Atmospheric Correction - Python (SMACPy). The coefficients are used, together with meteorological data, to remove the effects of atmospheric gases and aerosols from a satellite image. Currently, this is a beta version and more updates to these coefficients may be expected in the future. Coefficients exist for various aerosol types, all defined from the equivalent 6S (10.1109/36.581987) aerosol types: BIOMA: Biomass burning plumes. CONTI: Continental aerosol. DESER: Desert dust aerosol. MARIT: Maritime aerosol, primarily sea salt. STRATO: Stratospheric aerosol. URBAN: Urban pollution aerosol. NOAER: A profile with no aerosol effects, just atmospheric gases and Rayleigh scattering. In this version the following satellites / sensors are supported: NASA Aqua / MODIS NASA Terra / MODIS Fengyun-4A / AGRI GEO-KOMPSAT-2A / AMI GOES-16 / ABI GOES-17 / ABI Himawari-8 / AHI Landsat-8 / OLI Meteosat-8 / SEVIRI (no HRV channel) Meteosat-9 / SEVIRI (no HRV channel) Meteosat-10 / SEVIRI (no HRV channel) Meteosat-11 / SEVIRI (no HRV channel) NOAA-20 / VIIRS (M and I bands) Suomi-NPP / VIIRS (M and I bands) Sentinel-2A / MSI Sentinel-2B / MSI Sentinel-3A / OLCI Sentinel-3B / OLCI Sentinel-3A / SLSTR Sentinel-3B / SLSTR |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/5784635 |
| Title | DALEC2 |
| Description | Data assimilation linked ecosystem carbon model - an intermediate complexity model of the terrestrial carbon cycle. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | DALEC is a core component of the CARDAMOM carbon-data model framework |
| Title | EDGAR v5.0 emissions inventory speciated for the MOZART chemical mechanism |
| Description | Emission inventories need to be adapted to be used in chemical transport models (CTMs). They usually need ad-hoc preprocessing based on the chemical mechanism used in the CTM, including speciation of non-methane volatile organic compounds (NMVOCs). Here we provide monthly EDGAR v5.0 global air pollutant emissions for the year 2015, speciated for the MOZART chemical mechanism. The dataset is also ready to use in WRF-Chem atmospheric model with MOZART-MOSAIC options. Emission files are provided as individual NetCDF files for each pollutant containing anthropogenic sector emissions as individual variables. In the folder you will find: edgarv5_MOZART_data.tar.gz: EDGAR v5.0 monthly emissions for the year 2015 (NetCDFformat), speciated for MOZART chemical mechanism. Both total and individual sector emissions are included in each file. edgarv5_MOZART_MOSAIC.inp: Input file for anthroemiss preprocessing tool for MOZART-MOSAIC options in WRF-Chem. technical_note_EDGARv5_MOZART.pdf : documentation. These files are also ready-to be used in WRF-Chem anthro-emiss preprocessing tool with the MOZART-MOSAIC options. Accompanying code for preparing the dataset can be found at repository: https://doi.org/10.5281/zenodo.6145846 For more detail, please refer to the technical documentation (technical_note_EDGARv5_MOZART.pdf). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This dataset contains emissions from EDGAR v5.0 that we have reprocessed for compatibility with the MOZART chemical mechanism and the WRF-Chem chemical transport model. It is currently being used to evaluate air quality over India. |
| URL | https://zenodo.org/record/6130621 |
| Title | Earth's radiation budget from 1979 to present derived from satellite observations |
| Description | Multi-year global data on Earth's shortwave and longwave radiation fluxes from the ATSR and SLSTR instruments were derived from cloud properties retrieved using the ORAC scheme. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | These shortwave and longwave radiation fluxes were provided to the Climate Data Store in EU's Copernicus Climate Change Service. |
| URL | https://cds.climate.copernicus.eu/doi/10.24381/cds.85a8f66e |
| Title | GEDI datsets for calibrating above-ground biomass estimation by BIOMASS |
| Description | The BIOMASS mission needs reference data to calibrate the above-ground biomass invesion. This data sets provides such reference data using GEDI lidar data |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | This is basic to calibrating the AGB product from the BIOMASS satellite using the current AGB algorithm |
| Title | GOSAT solar induced fluorescence for the time period 2009-2018 |
| Description | GOSAT solar induced fluorescence for the time period 2009-2018 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | This dataset has been used by a number of publications. |
| Title | Global ocean lagrangian trajectories based on AVISO velocities, v2.2 |
| Description | The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provide 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data. The dataset has global coverage and spans 1998-2019 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information. Version 2.2 is a higher resolution version of V2.0 and also has double value for time variables to permit access via THREDDS. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | n/a |
| URL | https://catalogue.ceda.ac.uk/uuid/5c2b70d069cb467ab73e80b84c3e395a |
| Title | INVICAT V3.0 |
| Description | This is the updated version of the INVICAT model. Previously version 2.0 was available for use. Version 3.0 uses an updated version of the TOMCAT model (V1.81) and now does not require large amounts read/write to disk. Non-diagonal prior covariance error matrices are supported, and the model now is able to but run in parallel using MPI. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | None as yet. |
| Title | Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016 |
| Description | The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This dataset has significant improvement over the original Met Office FOAM reanalysis in the 3D temperature and salinity state and variability, as well as in the sea surface height (SSH) and ocean currents. The time variability of conservative quantities, particularly ocean heat and salt content, as well as kinetic energy and the Atlantic Meridional Overturning Circulation (AMOC), is also improved. This dataset is an advance of the existing ocean reanalysis products, and is of practical significance for ocean and climate research. |
| URL | https://catalogue.ceda.ac.uk/uuid/b0cf5a39647e4036bd5351274c5daa5f |
| Title | Intital simulation of Hunga-Tonga volcanic aerosol cloud with the UM-UKCA composition-climate model |
| Description | This dataset is from a series of "forward projection" interactive stratospheric aerosol simulations of the Jan 2022 Hunga-Tonga volcanic aerosol cloud with the UM-UKCA composition-climate model. The model experiments predict how the cloud will disperse through 2022, and apply the UM-UKCA model at GA4 (Walters et al., 2014), with GLOMAP v8.2, as applied for the "MajorVolc" datasets for Agung, El Chichon and Pinatubo (Dhomse et al., 2020), those runs aligned with the Historical Eruption SO2 emissions Assessment experiment within ISA-MIP (Timmreck et al., 2018). The "standard" Hunga-Tonga GA4 UM-UKCA experiment emits 0.4Tg of SO2 at 29-31km, within a 24-hour period, matching the detrainment duration specified for the ISA-MIP HErSEA experiment protocol. Following the stronger than expected mid-visible backscatter ratios (BSR) measured by CALIOP satellite-borne lidar, and from ground-based lidar from Reunion Island (very high BSR values > 200), we also ran UM-UKCA simulations with "scaled-up Hunga-Tonga SO2 emission", at 0.8, 1.2 and 1.6 Tg of SO2 emitted. Unexpectedly strong stratospheric AOD observed from the OMPS satellite months after the eruption further strengthens the motivation for these simulations. Several hypotheses for the high AOD from Hunga-Tonga have been suggested: 1) an unusual amount of (or influence from) co-emitted ultra-fine ash particles 2) "in-plume oxidised sulphate" already converted from SO2 at the time of detrainment (e.g. via aqueous-phase oxidation within water droplets within the eruptive plume). 3) co-emitted marine aerosol (e.g. sea-salt aerosol) from seawater vaporized in the plume There are 4 types of netcdf files, Stratospheric AOD (saod), Effective Radius (reff), Extinction (ext) and sulphate aerosol surface area density (sad). For e.g. saod550_HT_0pt4Tg_T2Mz-20220101-20230831.nc contains Stratospheric aerosol optical depth (sAOD) at 550nm (2D-monthly dataset vs latitude and time) with 0.4 Tg SO2 injection Jan2022 to August 2023 Whereas other files reff_HT_0pt4Tg_T2Mz_20220101-20230831.nc, sad_HT_0pt4Tg_T2Mz_20220101-20230831.nc ext550_HT_0pt4Tg_T2Mz-20220101-20230831.nc contain particle effective radius (reff), aerosol surface area density, aerosol extinction as 3D-monthly fields (altitude, latitude , time) from the same simulation. Other saod and extinction files are also available at 870 and 1020 nm. Note that these are preliminary simulations, hence we do not expect good match with the observations. We plan to perform additional UM-UKCA simulations, comparing to the satellite and ground-based lidar measurements, and to in-situ balloon observations from Reunion Island rapid response campaign & upcoming high-altitude balloon sampling flights in Brazil. References : Dhomse SS, Mann GW, Antuña Marrero JC, Shallcross SE, Chipperfield MP, Carslaw KS, Marshall L, Abraham NL, Johnson CE. 2020. Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds. Atmospheric Chemistry and Physics. 20(21), pp. 13627-13654 Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11, 25812608, https://doi.org/10.5194/gmd-11-2581-2018, 2018. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6621919 |
| Title | Kapiti land surface temperature ground validation data |
| Description | This is the land surface temperature (LST) ground validation data collected at ILRI Kapiti Research Ranch Kenya. The useable data series is from October 2018 to March 2019. The data stored here are the raw readings, the values used to correct them and then the final emissivity and downwelling corrected surface temperature values. Also included in the table are the corresponding satellite surface temperatures from MODIS, SEVIRI LWIR, MLST-AS and ERA5-land. Finally, upscaled and corrected ground temperatures for the SEVIRI pixel sizes is given.Each .csv contains one full record from one mast. To get the 'Kapiti upscaled average' take a mean of the four (or three given Mast 2 short record) upscaled ground LST.Please cite the use of this date with both the dataset DOI and the accompanying paper (when available).Column headings are as follows:TIMESTAMP > The date and time of the ground observation.BattV > The battery voltage at time of observation.Sky_heitronic > Sky temperature from Mast 3.EM_108 > SEVIRI FVC derived emissivity at 10.8um.EM_108_errorbar > The error assoicated with EM_108.EM_120 > SEVIRI FVC derived emissivity at 12.0um.EM_120_errorbar > The error assoicated with EM_120.EM_39 > SEVIRI FVC derived emissivity at 3.9um.EM_39_errorbar > The error assoicated with EM_39.EM_87 > SEVIRI FVC derived emissivity at 8.7um.EM_87_errorbar > The error assoicated with EM_87.EM_BB > SEVIRI FVC broad band derived emmisivity.EM_BB_errorbar > The error assoicated with EM_BB.FVC > MLST product assoicated fractional vegetation cover.FVC_errorbar > FVC assoicated error.LAT > SEVIRI pixel sensor latitude.LON > SEVIRI pixel sensor longitude.LST > SEVIRI land surface temperatureLSTS > MLSTS-AS all weather surface temperatureLST_Q_FLAGS > MLST product quality flagsLST_errorbar > Error assoicated with the given SEVIRI LST value.SAA > SEVIRI satellite azimuth angle.SZA > SEVIRI satellite zenith angle.TCWV > Total column water vapour.VAA > SEVIRI pixel view azimuth angle.VZA > SEVIRI pixel view zenith angle.f_sun > Fraction of SEVIRI pixel sunlitf_shade > Fraction of SEVIRI pixel in shade.f_canopy > Fraction of SEVIRI pixel with canopy cover.Sky_apogee > Modelled Apogee equivelant sky temperature (from Heitronics).JPL_em > Calculated emissivity for the Apogee sensor in the JPL from the SEVIRI FVC emissivity values. ERA5 > ERA-5 provided LST for the pixel.ERA5 land skt > ERA-5 land provided LST for the pixel.MODIS_LST > MODIS LST for the pixel. Satellite > Name of the MODIS platform that provided MODIS_LST.MODIS_em > MODIS used emissivity value.MODIS_VA > MODIS view angle.JPL_1_LST_LUT > JPL first angle ground rounding corrected with look up table based approach and SEVIRI emissivity.JPL_2_LST_LUT > JPL second angle ground reading corrected with look up table based approach and SEVIRI emissivity..JPL_3_LST_LUT > JPL third angle ground reading corrected with look up table based approach and SEVIRI emissivity..Heitronic_LST_LUT > Ground reading corrected with look up table based approach and SEVIRI emissivity..JPL_1_LST_MODIS > JPL 1 ground reading corrected with MODIS emmisivity. JPL_2_LST_MODIS > JPL 2 ground reading corrected with MODIS emmisivity. JPL_3_LST_MODIS > JPL 3 ground reading corrected with MODIS emmisivity. Heitronic_LST_MODIS > Heitronics ground reading corrected with MODIS emmisivity. JPL_1_LST_LUT_cal > Calibration correction added.JPL_2_LST_LUT_cal > Calibration correction added.JPL_3_LST_LUT_cal > Calibration correction added.Heitronic_LST_LUT_cal > Calibration correction added.TA_1_2_1 > 2 m air temperature at Mast 1.JPL_wv > JPL central wavelength as provided by look up table.Sky_wv > Skywards Heitronics central wavelength as provided by look up table.H_wv > Groundwards Heitronics central wavelength as provided by look up table.Heitronics_uncert > Ground heitronics calculated uncertainty.JPL_1_uncert > JPL 1 calculated uncertainty.JPL_2_uncert > JPL 2 calculated uncertainty.JPL_3_uncert > JPL 3 calculated uncertainty.tod > Time of day classification (night or day).JPL_1_upscaled_LSTS > JPL1 upscaled to the SEVIRI pixel scale using the geometric model.JPL_2_upscaled_LSTS > JPL2 upscaled to the SEVIRI pixel scale using the geometric model.JPL_3_upscaled_LSTS > JPL3 upscaled to the SEVIRI pixel scale using the geometric model.Heitronics_upscaled_LSTS > Ground heitronics upscaled to the SEVIRI pixel scale using the geometric model. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Kapiti_land_surface_temperature_ground_validation_data/171... |
| Title | LST_cci AATSR |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci ATSR-2 |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from ATSR-2 (Along-Track Scanning Radiometer 2), level 3 collated (L3C) global product (1995-2013), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci Aqua-MODIS |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci IRCDR |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci IRMGP |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci SLSTR-A |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci SLSTR-B |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | LST_cci Terra-MODIS |
| Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Climate model evaluation |
| Title | Land Surface Temperature (LST) dataset from the (A)ATSR instruments |
| Description | Land Surface Temperature (LST) products from the Along-Track Scanning Radiometers (ATSRs) at Level-2 (swath) and Level-3 (gridded) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2014 |
| Provided To Others? | Yes |
| Impact | Use of this dataset in multiple user applications |
| URL | http://data.globtemperature.info/ |
| Title | Land Surface Temperature (LST) datasets from the MODIS instruments |
| Description | Land Surface Temperature (LST) datasets from the MODIS instruments with uncertainties estimated from first principles |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | Use the dataset in investigative studies on data assimilation into NWP, and building relationships between land and air temperature to fill the gaps in the global air temperature coverage |
| Title | Land Surface Temperature Climate Data Record from ATSRs |
| Description | A first Climate Data Record (CDR) of Land Surface Temperature from the ATSR sensors |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | First publications in preparation Collaborations with other group in intercomparing the CDR with Air Temperature data records |
| URL | http://data.globtemperature.info |
| Title | Land Surface Temperature from SLSTR |
| Description | Operational Land Surface Temperature from the SLSTR sensor |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Operational Sentinel dataset available to the wide user community via Copernicus |
| URL | http://data.globtemperature.info |
| Title | Multi-sensor Merged Land Surface Temperature Dataset |
| Description | 3-hourly Multi-sensor GEO + LEO Merged Land Surface Temperature dataset to resolve the diurnal cycle on a global basis |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Exploitation of this dataset in first publications |
| URL | http://data.globtemperature.info |
| Title | NCEO LTSS: Global Ocean Lagrangian Trajectories, v1.0, 1998-2018 (OLTraj) |
| Description | The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on surface velocities from an ocean reanalysis. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialist |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The dataset will be used to facilitate Lagrangian analysis of ocean satellite and in-situ data |
| URL | https://catalogue.ceda.ac.uk/uuid/b9c80907bb37487fa1744f3c86f3e792 |
| Title | Neural network model to predict dissolved oxygen |
| Description | Machine learning model to predict oxygen across the water-column from the observed data. It is to be uploaded soon on the GitHub repository and will be publicly available. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | It supported a recent publication and will be available to use for observational scientists, as well as available for potential applications in aquaculture. |
| Title | Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rlut 1hrCM), v20231221 |
| Description | This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument. This is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products. It has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Comparison with UK Met Office model to help highlight and diagnose model ability to represent the diurnal cycle of various processes. |
| URL | https://catalogue.ceda.ac.uk/uuid/90148d9b1f1c40f1ac40152957e25467 |
| Title | Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rsut 1hrCM), v20231221 |
| Description | This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument. This is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products. It has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Comparison with UK Met Office model to help highlight and diagnose model ability to represent the diurnal cycle of various processes. |
| URL | https://catalogue.ceda.ac.uk/uuid/57821b58804945deaf4cdde278563ec2 |
| Title | Ocean Reanalysis including RAPID Array Data |
| Description | New Reanalysis based on Met Office Glosea5 system but including additional impact from assimilating RAPID array data |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Reanalysis data will be transferred to CEDA and published by June 2019 |
| Title | Output data for the PyCoxMunk example notebooks |
| Description | The PyCoxMunk python library allows users to calculate the expected sea surface reflectance under a given set of geometric and meteorological conditions. It is designed for use in satellite remote sensing and supports the majority of common satellite platforms. This archive contains data related to the example notebooks distributed with PyCoxMunk. Here you can find: 1) An input dataset for the SLSTR example notebook. 2) Output files for the SLSTR, SEVIRI and GOES example notebooks. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7885995 |
| Title | Ozone monthly gridded data from 1970 to present derived from satellite observations |
| Description | Height-resolved ozone data (L2) retrieved from uv nadir sounders with the RAL scheme were provided to the Copernicus Climate Change Service for the period 1995-2021. Monthly gridded data (L3) are available through the C3S Climate Data Store along with other gridded height-resolved and total column ozone data sets from other sounders. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | RAL height-resolved ozone data have ben used in the TOAR Report, a number of scientific publications reported in the literature, PhD theses and in ERA-5. |
| URL | https://cds.climate.copernicus.eu/doi/10.24381/cds.4ebfe4eb |
| Title | Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model. |
| Description | This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Related publication, DOI: 10.5194/acp-21-10643-2021 |
| URL | https://catalogue.ceda.ac.uk/uuid/88224a922439441fa6644b4564dcd90c |
| Title | RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1 |
| Description | The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Column amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8). The retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km. Development of the core IMS scheme was funded by the UK's National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. Data were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL)." |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data on isoprene have been used in a paper in Science on the link between nocturnal isoprene and organic aerosol in the upper troposphere https://www.science.org/doi/pdf/10.1126/science.abg4506 |
| URL | https://catalogue.ceda.ac.uk/uuid/5aa32fb863a048f0b24c541639cfd990 |
| Title | Reanalysis and regionalization of the biogeochemistry of the Mediterranean Sea (1998-2014) |
| Description | We assimilated ocean-colour phytoplankton functional types into a three dimensional physical-biogeochemical model of the Mediterranean Sea, in a reanalysis spanning 1998-2014. Daily and/or monthly outputs were collected in a database (NETCDF files) that is freely available on request to Stefano Ciavatta |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The post-processing of the database led to a novel definition of ecoregions in the Mediterranean Sea, based on the spatial distribution of the phytoplankton community structure and related carbon fluxes. The main purpose of such regionalization is to support Blue Growth in the Mediterranean Sea, and to test analysis tecniques that can be applied in the context of the North West European Shelf-Seas. These findings are the object of a manuscript submitted to Journal of Geophysical Research - Ocean |
| Title | Reconstructions of the radiation fluxes at the top of atmosphere and net surface energy flux: DEEP-C Version 5.0 |
| Description | In order to study the energy flow in the climate system, the radiative fluxes (OLR: Outgoing Longwave Radiation, ASR: Absorbed Solar Radiation, NET: Net Radiative Flux) at the top of atmosphere (TOA) prior to the CERES (Clouds and the Earth's Radiant Energy System) period have been reconstructed using satellite observations of CERES v4.1 and ERBS WFOV v3.0 (Earth Radiation Budget Experiment Satellite Wide Field Of View), atmospheric reanalysis (ERA5: the fifth generation ECMWF ReAnalysis) and AMIP6 (the sixth phase of the coupled model intercomparison project) model simulations. The new approach using the mass-corrected atmospheric energy divergencies (transports) and consistent enthalpy treatment of water substances is employed to estimate the net surface energy fluxes. This is version 5.0 of the DEEP-C dataset. CERES version 4.1 and ERBS WFOV version 3.0 are used. The TOA flux anomaly is constrained by WFOV anomaly in each 10 degree x 10 degree grid box. The atmospheric energy transport is based on the new enthalpy treatment of water substances described in Mayer et al. (2017), 'Toward consistent diagnostics of the coupled atmosphere and ocean energy budgets', Journal of Climate 30(22): 9225-9246. https://doi.org/10.1175/JCLI-D-17-0137.1. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The dataset is developed from the DEEP-C, SMURPHS and NCEO DEWES projects and is being used in multiple scientific studies |
| URL | https://researchdata.reading.ac.uk/id/eprint/347 |
| Title | Reliability Ensemble Averaging of ISIMIP NPP projections for 2095-2099 under RCP8.5 |
| Description | Multi-model averaging techniques provide opportunities to extract additional information from large ensembles of simulations. In particular, present-day model skill can be used to evaluate their potential performance in future climate simulations. Multi-model averaging methods have been used extensively in climate and hydrological sciences, but they have not been used to constrain projected plant productivity responses to climate change, which is a major uncertainty in earth system modelling. Here, we use three global observation-orientated estimates of current net primary productivity (NPP) to perform a reliability ensemble averaging (REA) using 30 global simulations of the 21st century change in NPP based on the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) 'business as usual' emissions scenario. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | We find that the three REAs support an increase in global NPP by the end of the 21st century (2095-2099) compared to 2001-2005, which is 2 - 3% stronger than the ensemble ISIMIP mean value of 24.2 Pg C y-1. Using REA also leads to a 45 - 68% reduction in the global uncertainty of 21st century NPP projection, which strengthens confidence in the resilience of the CO2 fertilization effect to climate change. This reduction in uncertainty is especially clear for boreal ecosystems although it may be an artefact due to the lack of representation of nutrient limitations on NPP in most models. Conversely, the large uncertainty that remains on the sign of the response of NPP in semi-arid regions points to the need for better observations and model development in these regions. |
| URL | https://doi.org/10.5194/esd-2017-83 |
| Title | STFC RAL methane retrievals from IASI on board MetOp-B, version 2.0 |
| Description | This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0 of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. Development of the Version 2.0 scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. Data were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The MetOp-B methane data were used in ESA's Methane+ project for inverse modelling of fluxes by several groups. As a result, methane data produced by this scheme for Metop-A and B are being trialled for flux inversion in the next GHG re-analysis by the Copernicus Atmospheric Monitoring Service. |
| URL | https://catalogue.ceda.ac.uk/uuid/4bbcb1722f2842c1b0a5ebc19160a863 |
| Title | Surface radiation budget from 1982 to present derived from satellite observations |
| Description | Surface downwelling and upwelling shortwave and longwave fluxes derived from cloud data retrieved using the ORAC scheme from the ATSR and SLSTR instruments. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The data set was provided to the Climate Data Store in the EU's Copernicus Climate Change Service |
| URL | https://cds.climate.copernicus.eu/doi/10.24381/cds.cea58b5a |
| Title | TOMCAT CTM simulated ozone profiles using NRL2, SATIRE and SORCE solar fluxes |
| Description | Individual file contain TOMCAT CTM simulated ozone profiles from five model simulations analysed in the following publication. Briefly, vmro3_T2Mz_TOMCAT_A_NRL2_2005-2020.nc contain ozone profiles from the control simulation that uses ERA5 dynamical forcing fields and NRL V2 solar fluxes vmro3_T2Mz_TOMCAT_B_SATIRE_2005-2020.nc and vmro3_T2Mz_TOMCAT_C_SORCE_2005-2020.nc contain ozone profiles from a simulations that are similar to the control simulation but with SATIRE and SORCE solar fluxes vmro3_T2Mz_TOMCAT_D_SFix_2005-2020.nc has ozone profiles from simulation that is similar to the control simulation but with fixed solar fluxes, whereas vmro3_T2Mz_TOMCAT_E_DFix_2005-2020.nc also contain ozone profiles from a simulation where model uses annually repeating dynamical fields. Dhomse, S. S., Chipperfield, M. P., Feng, W., Hossaini, R., Mann, G. W., Santee, M. L., and Weber, M.: A Single-Peak-Structured Solar Cycle Signal in Stratospheric Ozone based on Microwave Limb Sounder Observations and Model Simulations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-663, in review, 2021. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/5875189 |
| Description | ALOS L-band SAR data to improve country-level carbon reporting in the forest sector |
| Organisation | Japanese Aerospace Exploration Agency |
| Country | Japan |
| Sector | Public |
| PI Contribution | Developing countries would benefit greatly from having robust, spatially explicit estimates of forest above-ground biomass (AGB) to help them in reporting changes in their carbon stocks. This project seeks to develop and test methods to estimate stocks and changes in AGB using ALOS-1, ALOS-2 and ALOS-4 observations in Mozambique (Southern Africa). Currently, L-band SAR satellite observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~15 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and ALOS-4 will further extend this critical archive. Therefore, a systematic assessment of forest AGB stocks and changes now becomes possible, paving the way for the P-band SAR data from the ESA BIOMASS mission, which launches in 2023. This project builds upon previous research studies led by the University of Sheffield undertaken in the framework of the Kyoto and Carbon Initiative in phases 1, 2, 3 and 4. |
| Collaborator Contribution | NA |
| Impact | This project will develop and test methods at selected sites in Mozambique where reference observations are available and apply them to the full extent of the ALOS-1, ALOS-2 and potentially ALOS-4 imagery covering Mozambique to generate maps of forest AGB change. Particularly valuable would be the provision of time series of ALOS-4 fully-polarimetric acquisitions in interferometric mode, since such data will be routinely produced by the ESA BIOMASS mission (Quegan et al. 2019) and should allow development of a whole new range of methods to retrieve AGB and AGB change. We expect these methods to provide improved estimates of forest AGB and change in tropical dry forests, where AGB density is usually lower than the saturation value of L-band SAR observations. These activities must be considered in a broader perspective where L-band data are one of multiple Earth Observation streams that can be exploited to measure forest AGB and change. The results will also inform the acquisition strategy of future SAR missions, which, unlike past and current missions, have an explicit target of mapping and monitoring forest AGB (NISAR, TanDEM-L, BIOMASS). |
| Start Year | 2022 |
| Description | ALOS L-band SAR data to improve country-level carbon reporting in the forest sector |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Developing countries would benefit greatly from having robust, spatially explicit estimates of forest above-ground biomass (AGB) to help them in reporting changes in their carbon stocks. This project seeks to develop and test methods to estimate stocks and changes in AGB using ALOS-1, ALOS-2 and ALOS-4 observations in Mozambique (Southern Africa). Currently, L-band SAR satellite observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~15 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and ALOS-4 will further extend this critical archive. Therefore, a systematic assessment of forest AGB stocks and changes now becomes possible, paving the way for the P-band SAR data from the ESA BIOMASS mission, which launches in 2023. This project builds upon previous research studies led by the University of Sheffield undertaken in the framework of the Kyoto and Carbon Initiative in phases 1, 2, 3 and 4. |
| Collaborator Contribution | NA |
| Impact | This project will develop and test methods at selected sites in Mozambique where reference observations are available and apply them to the full extent of the ALOS-1, ALOS-2 and potentially ALOS-4 imagery covering Mozambique to generate maps of forest AGB change. Particularly valuable would be the provision of time series of ALOS-4 fully-polarimetric acquisitions in interferometric mode, since such data will be routinely produced by the ESA BIOMASS mission (Quegan et al. 2019) and should allow development of a whole new range of methods to retrieve AGB and AGB change. We expect these methods to provide improved estimates of forest AGB and change in tropical dry forests, where AGB density is usually lower than the saturation value of L-band SAR observations. These activities must be considered in a broader perspective where L-band data are one of multiple Earth Observation streams that can be exploited to measure forest AGB and change. The results will also inform the acquisition strategy of future SAR missions, which, unlike past and current missions, have an explicit target of mapping and monitoring forest AGB (NISAR, TanDEM-L, BIOMASS). |
| Start Year | 2022 |
| Description | ArcSustain H2020 proposal |
| Organisation | University of Tromso |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | Proposal submitted to EU in Feb 2019 Proposal unsuccessful |
| Collaborator Contribution | PI in Tromso is Lead on proposal. Reading is WP1 coordinator |
| Impact | H2020 proposal ArcSustain 6m euro |
| Start Year | 2019 |
| Description | Biogeochemical process uncertainty in the ocean |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Working with PhD student we have shown how best to varying biogeochemical processes to give more realistic uncertainties in biogeochemical ensemble modelling. |
| Collaborator Contribution | Advice on parameter variability and physical uncertaities in models |
| Impact | 2 papers Anugerahanti et al 2018 Anugerahanti et al 2020 (in press) |
| Start Year | 2015 |
| Description | CAGE CEOI proposal |
| Organisation | Teledyne Technologies International Corp |
| Department | Teledyne e2v |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | CAGE proposal was successful and project started in May 2019. Our team is assessing scientific user requirements for new Cold atom gravity satellite mission. New work is ongoing using most recent high resolution ocean models to assess scales of mean sea level variaitons that need to be distinguishable from the gravity field variations by a new instrument. |
| Collaborator Contribution | Steve Maddox of Teledyn e2V leads the project |
| Impact | Cold Atom Gravity Explorer project started May 2019 Reading Deliverable 3.1 on User Requirements for new Cold Atom Gravity Explorer Satellite mission |
| Start Year | 2019 |
| Description | Chair of the NPOP Marine Data Assimilation WG |
| Organisation | National Partnership for Ocean Prediction (NPOP) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Leadership of UK marine data assimilation application in operational framework; Scientific discussion; Oral presentation at the 3rd NPOP/NCOF Data Assimilation Workshop (University of Reading, 26/10/2015) |
| Collaborator Contribution | Scientific discussion; Workshop organization |
| Impact | Oral presentation at the 3rd NPOP/NCOF Data Assimilation Workshop (University of Reading, 26/10/2015) |
| Start Year | 2014 |
| Description | Collaboration with ECMWF on ESA DORSY project |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Evaluation, testing and development of CAPTIVATE for ACM-CAP EarthCARE synergy retrievals. Application of CAPTIVATE retrievals of A-Train data to ECMWF IFS model forecasts for model evaluation. |
| Collaborator Contribution | Development and quality control of CAPTIVATE algorithm. Collaborating on evaluation and testing of CAPTIVATE retrievals using A-Train data. Running IFS forecasts for evaluation, and post-hoc radiative transfer code on CAPTIVATE retrievals for model evaluation and top-of-atmosphere radiative closure. |
| Impact | All publications using CAPTIVATE retrieval; upcoming publications on CAPTIVATE retrieval applied to A-Train measurements. |
| Start Year | 2015 |
| Description | Collaboration with VODCA developers at TU Wien |
| Organisation | Vienna University of Technology |
| Country | Austria |
| Sector | Academic/University |
| PI Contribution | Exploration of the added scientific value that can be obtained from the Vegetation Optical Depth Climate Archive (VODCA) over previously available remotely-sensed vegetation products. |
| Collaborator Contribution | Insight into best practice for application of VODCA for analysing water/carbon exchanges between land and atmosphere. Advice on potential artefacts in dataset that may affect interpretation of scientific results. |
| Impact | Publication "Satellite-Observed Vegetation Responses to Intraseasonal Precipitation Variability". |
| Start Year | 2021 |
| Description | Combining multi-frequency radar data to assess tropical forest degradation |
| Organisation | Japanese Aerospace Exploration Agency |
| Country | Japan |
| Sector | Public |
| PI Contribution | To develop, test and validate methods that combine ground forest measurements and metrics derived from both C- and L-band SAR data (alone and in combination) in selected tropical regions in order to discriminate areas experiencing forest degradation due to selective logging operations. Sites in the Brazilian Amazon and Borneo will be selected and sampled for forest structure within primary forests (baseline control) and selectively logged forests across a range of logging intensities. |
| Collaborator Contribution | See above |
| Impact | NA |
| Start Year | 2016 |
| Description | Copernicus Climate Change Service |
| Organisation | German Aerospace Centre (DLR) |
| Country | Germany |
| Sector | Public |
| PI Contribution | Production and provision of multi-year global data sets on aerosol, cloud/radiative fluxes and ozone from satellite observations |
| Collaborator Contribution | Production and provision of other data sets on aerosol, cloud and ozone |
| Impact | Outputs and outcomes from provision of satellite data sets to the Copernicus Climate Change Service are generally not directly traceable to our inputs. However, C3S information is accessed widely by the climate research community and is also accessed by policy makers and media. Journal papers exploiting C3S ozone data as supplied to C3S have been published by UK partners. |
| Start Year | 2016 |
| Description | Copernicus Ocean Reanalysis |
| Organisation | Euro-Mediterranean Center on Climate Change (CMCC) |
| Country | Italy |
| Sector | Charity/Non Profit |
| PI Contribution | A Copernicus Proposal was submitted in March 2024 lead by CMCC which if funded will allow our smoothing assimilation work to contributed to new CMEMS long-term reanalyses Our own team were leading this proposal but the University of Reading pulled out of Leading for legal reasons at the last miniute |
| Collaborator Contribution | CMCC and CNR both in italy are already partners in the Copernicus Marine service providing ocean reanalysis and forecasting products. In this project will work with them to improve their products and demonstrate the capability of new algorithms produced by NCEO at Reading |
| Impact | Copernicus proposal submitted to EU |
| Start Year | 2023 |
| Description | Copernicus Ocean Reanalysis |
| Organisation | Institute of Marine Science |
| Country | Italy |
| Sector | Public |
| PI Contribution | A Copernicus Proposal was submitted in March 2024 lead by CMCC which if funded will allow our smoothing assimilation work to contributed to new CMEMS long-term reanalyses Our own team were leading this proposal but the University of Reading pulled out of Leading for legal reasons at the last miniute |
| Collaborator Contribution | CMCC and CNR both in italy are already partners in the Copernicus Marine service providing ocean reanalysis and forecasting products. In this project will work with them to improve their products and demonstrate the capability of new algorithms produced by NCEO at Reading |
| Impact | Copernicus proposal submitted to EU |
| Start Year | 2023 |
| Description | Coupled carbon, water, and energy budgets: CASE PhD award |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Lead supervising PhD student Sammy Petch. Started Oct 2021 Work is now fully aligned with CPEO project objectives |
| Collaborator Contribution | Case award support for student. weekly supervisor meetings Extended research visits supported to Met O |
| Impact | Paper in final stages of publication Petch, S, B. Dong, T. Quaife, R. King and K. Haines (2022), Water and Energy budgets over hydrological basins on short and long timescales. In Discussion, HESS, https://doi.org/10.5194/egusphere-2022-1237 Second paper in preparation Petch, S, B. Dong, K. Haines, R. King and T. Quaife (2023), Satellite based water and energy budgets in the 21st century over large Endorheic basins, In Draft for Frontiers in Environmental Science Special Issue |
| Start Year | 2021 |
| Description | ESA Biomass CCI+ |
| Organisation | Aberystwyth University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | Friedrich Schiller University Jena (FSU) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | Gamma Remote Sensing |
| Country | Switzerland |
| Sector | Private |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | International Institute for Applied Systems Analysis |
| Country | Austria |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | Laboratoire des Sciences du Climat et de l'Environnement |
| Country | France |
| Sector | Public |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | Space Studies Centre of the Biosphere (CESBIO) |
| Country | France |
| Sector | Private |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | University of Toulouse |
| Department | Laboratory Evolution and Biological Diversity |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA Biomass CCI+ |
| Organisation | Wageningen University & Research |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Collaborating in the development of global and regional algorithms for aboveground biomass retrieval |
| Collaborator Contribution | Aberystwyth University leads the partnership. Other partners contribute in algorithm development or data inputs at global and regional sites. |
| Impact | Global biomass dataset requirements from climate and carbon modeling, ecology, geography, resource assessment, climate policy and other user families. Global Aboveground Biomass map at 100 m spatial resolution |
| Start Year | 2018 |
| Description | ESA CCI - TOCISE Fellowship |
| Organisation | European Space Agency |
| Country | France |
| Sector | Public |
| PI Contribution | Investigated the long-term differences in multiple ESA CCI tropospheric ozone products in combination with the UK Met Office's Earth system model (UKESM). |
| Collaborator Contribution | Provided funding for my research looking at inconsistencies in ESA CCI tropospheric ozone products. |
| Impact | Multiple publications are currently being written up for submission to scientific journals. |
| Start Year | 2021 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Belgian Institute for Space Aeronomy |
| Country | Belgium |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Brockmann Consult |
| Country | Germany |
| Sector | Private |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Chalmers University of Technology |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | ETH Zurich |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Finnish Meteorological Institute |
| Country | Finland |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Free University of Berlin |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Free University of Brussels |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | German Aerospace Centre (DLR) |
| Department | DLR Munich |
| Country | Germany |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | German Weather Service |
| Country | Germany |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | German Weather Service |
| Country | Germany |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Julich Research Centre |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Karlsruhe Institute of Technology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Max Planck Society |
| Country | Germany |
| Sector | Charity/Non Profit |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Norwegian Meteorological Institute |
| Country | Norway |
| Sector | Public |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Pierre and Marie Curie University - Paris 6 |
| Department | Laboratory of Dynamic Meteorology |
| Country | France |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Pierre and Marie Curie University - Paris 6 |
| Country | France |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Royal Netherlands Meteorological Institute |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Swansea University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Swedish Meteorological and Hydrological Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | Telespazio Vega (IDEAS) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Bremen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Leicester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Saskatchewan |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Toronto |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Change Initiative - Cloud, Aerosol and Ozone |
| Organisation | University of Toronto |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | My research team developed and applied the retrieval schemes selected to produce global, multi-year, multi-sensor, climate data-sets for height-resolved ozone from nadir-viewing uv spectrometers, for cloud and aerosol from visible/ir imagers and for water vapour from ir and microwave sounders. They also participated in scientific evaluation and validation of the respective data sets through comparisons with those retrieved from other satellite sensors, correlative surface-based observations and models. |
| Collaborator Contribution | Our international partners provided complementary data sets from other satellite sensors, independent assessments against correlative validation data and models. |
| Impact | The definitive global satellite data sets on ozone, cloud and aerosol are to be produced in 2016. However, on the basis of existing results the following outcomes have already been achieved: 1. Selection of our global height-resolved ozone data sets for the recent major re-analysis by ECMWF (ERA-5) 2. Renewal of the ESA CCI programme (CCI+), including improvements and extensions of our ozone and cloud data sets and addition of water vapour 3. EC's Copernicus Climate Change Service (C3S) provision for systematic production and re-processing of climate data sets |
| Start Year | 2010 |
| Description | ESA Climate Office YGT collaboration on Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables |
| Organisation | European Space Agency |
| Department | Harwell Centre |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | PML Dr Racault has been the supervisor of Amy Campbell during her 1-year Young Graduate Trainee fellowship from the European Space Agency. PML has brought in expertise on usage of Artificial Intelligence with PML Data Scientist Stephen Goult as part of NERC-NEODAAS. PML has also provided Clinical data on cholera outbreaks in coastal districts of India. The clinical data on cholera from IDSP India were curated by PML scientist Angus Laurenson as part of UKRI-PODCAST project. PML Racault has provided expertise on cholera risk analyses and development of forecast systems using ECVs from satellite observations. |
| Collaborator Contribution | ESA Climate Office / YGT Amy Campbell have brought in satellite observations of Essential Climate Variables (ECVs) produced by the ESA Climate Change Initiative program. The data have been obtained for the period from 2009 to 2019. |
| Impact | We have used machine learning techniques to analyse in combination satellite climate data records and epidemiological data to produce environmental cholera-risk forecast. We have demonstrated a novel application of machine learning for cholera risks in coastal India. The algorithm identified correctly 89.5% of outbreaks across all coastal Indian district reporting cholera outbreaks. We are investigating potential for transfer of model to other regions and possible inclusion of socio-economic data. Peer-reviewed article has been published in Dec 2020 in the peer-reviewed journal Int. J. Environ. Res. Public Health. Amy Campbell is first author, and Dr Racault is corresponding author. The results have been presented by by Amy Campbell at the International Symposium Ocean & Human Health 2-3 Dec 2020. The results have been published in a press release by ESA https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Space_for_Earth/Space_for_health/Cholera_outbreaks_predicted_using_climate_data_and_AI And by more than 7 news outlets, including the BBC World News with the page translated in many languages: https://www.bbc.com/arabic/science-and-tech-56185703 https://www.bbc.com/hausa/labarai-56184840 https://www.bbc.com/tigrinya/news-56179528 https://www.bbc.com/indonesia/majalah-56178147 https://www.bbc.com/pashto/science-and-technology-56192581 |
| Start Year | 2019 |
| Description | Estimating forest above-ground biomass change in East Africa from L-band SAR data |
| Organisation | Gamma Remote Sensing |
| Country | Switzerland |
| Sector | Private |
| PI Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Collaborator Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Impact | NA |
| Start Year | 2019 |
| Description | Estimating forest above-ground biomass change in East Africa from L-band SAR data |
| Organisation | Japanese Aerospace Exploration Agency |
| Country | Japan |
| Sector | Public |
| PI Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Collaborator Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Impact | NA |
| Start Year | 2019 |
| Description | Estimating forest above-ground biomass change in East Africa from L-band SAR data |
| Organisation | Norwegian Institute of Bioeconomy Research |
| Country | Norway |
| Sector | Public |
| PI Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Collaborator Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Impact | NA |
| Start Year | 2019 |
| Description | Estimating forest above-ground biomass change in East Africa from L-band SAR data |
| Organisation | University of Leicester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Collaborator Contribution | To develop and test methods to estimate changes in forest above-ground biomass (AGB) using ALOS-1 and ALOS-2 observations across the dry tropical forests of East Africa. Currently, spaceborne L-band SAR observations are the most sensitive to forest structural properties. JAXA ALOS-1 and ALOS-2 global observations now cover a period of ~10 years (ALOS-1: 2006-2011, ALOS-2: 2014-present) and, therefore, an assessment of forest AGB change at a decadal level now becomes possible. |
| Impact | NA |
| Start Year | 2019 |
| Description | Field Spectroscopy Facility Edinburgh |
| Organisation | University of Edinburgh |
| Department | School of Geosciences Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We are collaborating with the FSF Edinburgh on testing and setting up of a set of new instruments (Bruker em27Sun spectrometers) and in the development of the retrieval procedures |
| Collaborator Contribution | FSF Edinburgh provide access and support for field spectroscopy instruments. In this collaboration this is focussed to new EM27SUN instruments in addition to Max-Does and Aeronet sensors that will be used in support of DARE-UK in London . |
| Impact | No outcomes yet |
| Start Year | 2019 |
| Description | GODAE DA-TT |
| Organisation | Data Assimilation Task Team (DA-TT) |
| Country | United States |
| Sector | Public |
| PI Contribution | Scientific discussion |
| Collaborator Contribution | Scientific discussion |
| Impact | Scientific discussion |
| Start Year | 2015 |
| Description | GODAE MEAP-TT |
| Organisation | Marine Ecosystem And Prediction Task Team (MEAP-TT) |
| Country | Canada |
| Sector | Public |
| PI Contribution | Scientific discussion on marine modelling/data assimilation; Oral presentation on data assimilation, through skype, at the "MEOPAR/ GOV Marine Ecosystem Analysis and Prediction Workshop", Dalhousie University, Halifax, Canada, 23-24 June 2015 |
| Collaborator Contribution | Scientific discussion on marine modelling/data assimilation |
| Impact | Oral presentation on data assimilation, through skype, at the "MEOPAR/ GOV Marine Ecosystem Analysis and Prediction Workshop", Dalhousie University, Halifax, Canada, 23-24 June 2015 |
| Start Year | 2015 |
| Description | Group on High Resolution Sea Surface Temperature (GHRSST) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Country | Germany |
| Sector | Public |
| PI Contribution | We have provided the Project Scientist for the GHRSST Project Office, facilitating the annual conference, new members, GHRSST documentation and task groups, and nsuring partners can access sea surface temperature data sets from satellites |
| Collaborator Contribution | The partners provide data services such as the Regional Data Assembly Centres. NOAA provides the GHRSST Global Data Assembly Centre and the Long-Term Stewardship and Reanalysis Centre |
| Impact | 1. Visibility of UK SST data sets to the world. 2. Influence on co-ordinated production of world-wide operational SST data sets |
| Start Year | 2018 |
| Description | Group on High Resolution Sea Surface Temperature (GHRSST) |
| Organisation | National Oceanic And Atmospheric Administration |
| Country | United States |
| Sector | Public |
| PI Contribution | We have provided the Project Scientist for the GHRSST Project Office, facilitating the annual conference, new members, GHRSST documentation and task groups, and nsuring partners can access sea surface temperature data sets from satellites |
| Collaborator Contribution | The partners provide data services such as the Regional Data Assembly Centres. NOAA provides the GHRSST Global Data Assembly Centre and the Long-Term Stewardship and Reanalysis Centre |
| Impact | 1. Visibility of UK SST data sets to the world. 2. Influence on co-ordinated production of world-wide operational SST data sets |
| Start Year | 2018 |
| Description | H2020 EUSTACE Project |
| Organisation | Danish Meteorological Institute (DMI) |
| Country | Denmark |
| Sector | Public |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | Royal Netherlands Meteorological Institute |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | Rutherford Appleton Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | University of Bath |
| Department | Department of Mathematical Sciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | University of Bern |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | H2020 EUSTACE Project |
| Organisation | University of Reading |
| Department | Department of Meteorology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
| Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
| Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
| Start Year | 2015 |
| Description | Identify industrial go and no-go zones and monitor industrial practices through PALSAR-based land cover and carbon stock mapping in Sumatra and Borneo |
| Organisation | Japanese Aerospace Exploration Agency |
| Country | Japan |
| Sector | Public |
| PI Contribution | To study the dynamics of status and carbon stocks of natural forest areas based on easy to use, scientifically robust, semi-automated analysis of cloud- and haze-penetrating ALOS radar images. |
| Collaborator Contribution | See above |
| Impact | NA |
| Start Year | 2014 |
| Description | Identify industrial go and no-go zones and monitor industrial practices through PALSAR-based land cover and carbon stock mapping in Sumatra and Borneo |
| Organisation | World Wide Fund for Nature |
| Country | Switzerland |
| Sector | Charity/Non Profit |
| PI Contribution | To study the dynamics of status and carbon stocks of natural forest areas based on easy to use, scientifically robust, semi-automated analysis of cloud- and haze-penetrating ALOS radar images. |
| Collaborator Contribution | See above |
| Impact | NA |
| Start Year | 2014 |
| Description | Informing environmental change for Kenyan county development plans: hot-spot analyses using earth observation and community mapping |
| Organisation | Maasai Mara University |
| Country | Kenya |
| Sector | Academic/University |
| PI Contribution | John Remedios, Luke Smallman and Heiko Balzter visited Maasai Mara University in Kenya in February 2019 and agreed a new collaboration with NCEO. Our contribution will be the provision of Earth Observation datasets that can be useful for county councils in the region. |
| Collaborator Contribution | Maasai Mara University contributes the local work with county council administrations and the Kenya Data Cube to facilitate the uptake and impact from the satellite EO data. |
| Impact | One in-country visit. Disciplines involved include socio-economic studies and physical sciences. |
| Start Year | 2019 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | ACRI-ST |
| Country | France |
| Sector | Private |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | Estellus |
| Country | France |
| Sector | Private |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Country | Germany |
| Sector | Public |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | European Space Agency |
| Country | France |
| Sector | Public |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | Karlsruhe Institute of Technology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | National Aeronautics and Space Administration (NASA) |
| Department | Jet Propulsion Laboratory |
| Country | United States |
| Sector | Public |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | National Oceanic And Atmospheric Administration |
| Country | United States |
| Sector | Public |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | Portuguese Institute of Sea and Atmosphere (IPMA) |
| Country | Portugal |
| Sector | Public |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
| Organisation | University of Reading |
| Department | Department of Meteorology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
| Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
| Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
| Start Year | 2014 |
| Description | Measuring above-ground biomass and its changes over Brazilian tropical secondary forests and savanna woodlands (Cerrado) using L-band SAR data |
| Organisation | Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA) |
| Country | Brazil |
| Sector | Public |
| PI Contribution | To develop, test and validate algorithms that relate in situ forest AGB to L-band backscatter in a range of low-carbon tropical regions across the Brazilian Amazon, in secondary forests and cerrado. |
| Collaborator Contribution | See above |
| Impact | Carreiras, J.M.B., Jones, J., Lucas, R., Shimabukuro. Mapping major land cover types and retrieving the age of secondary forests in the Brazilian Amazon by combining single-date optical and radar remote sensing data. Remote Sensing of Environment - Under Review. |
| Start Year | 2014 |
| Description | Measuring above-ground biomass and its changes over Brazilian tropical secondary forests and savanna woodlands (Cerrado) using L-band SAR data |
| Organisation | Japanese Aerospace Exploration Agency |
| Department | Earth Observation Research Center |
| Country | Japan |
| Sector | Public |
| PI Contribution | To develop, test and validate algorithms that relate in situ forest AGB to L-band backscatter in a range of low-carbon tropical regions across the Brazilian Amazon, in secondary forests and cerrado. |
| Collaborator Contribution | See above |
| Impact | Carreiras, J.M.B., Jones, J., Lucas, R., Shimabukuro. Mapping major land cover types and retrieving the age of secondary forests in the Brazilian Amazon by combining single-date optical and radar remote sensing data. Remote Sensing of Environment - Under Review. |
| Start Year | 2014 |
| Description | Member of ESA's Traceable Radiometry Underpinning Terrestrial- and Helio- Studies (TRUTHS) Mission Advisory Group |
| Organisation | ESA - ESTEC |
| Country | Netherlands |
| Sector | Public |
| PI Contribution | Studies undertaken as part of the project complement additional research activities which are being used to define and prioritise the science objectives of the mission. |
| Collaborator Contribution | It is the collective responsibility of the Mission Advisory Group to ensure that the scientific objectives of the mission align to those needed by the research community. |
| Impact | None to report to-date. |
| Start Year | 2020 |
| Description | Memorandum of Understanding signed between PML and Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Japan |
| Organisation | University of Kyoto |
| Country | Japan |
| Sector | Academic/University |
| PI Contribution | We are working on research related to river discharge in coastal waters following extreme typhoon events. One paper has been published: Troselj J, Sayama T, Varlamov SM, Sasaki T, Racault M-F, Takara K, Miyazawa Y, Kuroki R, Yamagata T, Yamashiki Y (2017) Modeling of extreme freshwater outflow from the north-eastern Japanese river basins to western Pacific Ocean, Journal of Hydrology, 555:956-970, doi:10.1016/j.jhydrol.2017.10.042 One paper is in preparation; the work has been presented at the AGU Annual Fall Meeting: Optimization and Modeling of Extreme Freshwater Discharge from Japanese First-Class River Basins to Coastal Oceans Kuroki, R.; Yamashiki, Y. A.; Varlamov, S.; Miyazawa, Y.; Gupta, H. V.; Racault, M.; Troselj, J. http://adsabs.harvard.edu/abs/2017AGUFM.H11E1224K |
| Collaborator Contribution | We are working on research related to river discharge in coastal waters following extreme typhoon events. One paper has been published: Troselj J, Sayama T, Varlamov SM, Sasaki T, Racault M-F, Takara K, Miyazawa Y, Kuroki R, Yamagata T, Yamashiki Y (2017) Modeling of extreme freshwater outflow from the north-eastern Japanese river basins to western Pacific Ocean, Journal of Hydrology, 555:956-970, doi:10.1016/j.jhydrol.2017.10.042 One paper is in preparation; the work has been presented at the AGU Annual Fall Meeting: Optimization and Modeling of Extreme Freshwater Discharge from Japanese First-Class River Basins to Coastal Oceans Kuroki, R.; Yamashiki, Y. A.; Varlamov, S.; Miyazawa, Y.; Gupta, H. V.; Racault, M.; Troselj, J. http://adsabs.harvard.edu/abs/2017AGUFM.H11E1224K |
| Impact | Prof. Steve de Mora - PML Chief Executive visited GSAIS Kyoto University in October 2018 and officially signed the MoU. To develop collaborative research, a collaborative project proposal between PML and Kyoto University has been submitted to the UKRI - JSPS joint call 2018. The proposal passed Phase 1 and was invited to respond to reviewers' comments. The proposal was rated 5/6 by reviewer 1 and 6/6 by reviewer 2. Unfortunately, the proposal was not funded in Phase 2. We will try to submit proposals to work collaboratively in the future. |
| Start Year | 2017 |
| Description | Mercator Ocean International Science Board |
| Organisation | Mercator Océan |
| Country | France |
| Sector | Private |
| PI Contribution | I provide expertise on marine ecosystem modelling and data assimilation to revise and plan the science strategy of Mercator Ocean International (MOI) |
| Collaborator Contribution | Being in the MOI Science Board puts me in a strategic position to steer R&D and funding. |
| Impact | - Review report on the MOI activity in 2020-2021 |
| Start Year | 2020 |
| Description | Met Office Case Award for NERC Panorama - NCEO PhD Studentship |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The is a co-funded PhD studentship between the NERC Panorama DTP and NCEO, which has received a financial contribution from the UK Met Office to support the student. This will be used by the student to attend conferences and present NERC-NCEO-Met Office scientific research. |
| Collaborator Contribution | As well as financial support, the Met Office supervisor (Dr Steven Turnock) will/has provided support and advice for the student using the UK Earth System Model (UKESM) and the fire model (INFERNO). |
| Impact | The studentship has just started, so only a 6-month report is available at present. Scientific peer-reviewed paper will appear in the next 12-18 months followed by more outputs throughout the PhD. |
| Start Year | 2023 |
| Description | North Atlantic Reanalysis Intercomparison |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of paper for special issue on Atlantic Overturning circulation |
| Collaborator Contribution | Lead author Laura Jackson Met Office. Other collaborators in Italy, France and US(MIT) |
| Impact | Research paper published in special issue of JGR on AMOC Jackson et al 2019 |
| Start Year | 2017 |
| Description | Optical Mission Performance Cluster (OPT-MPC) |
| Organisation | ACRI-ST |
| Country | France |
| Sector | Private |
| PI Contribution | Sentinel-3 Land Surface Temperature mission quality assurance |
| Collaborator Contribution | Service delivery lead |
| Impact | Mission quality |
| Start Year | 2022 |
| Description | PVDAP: Network on Preconditioning for Variational Data Assimilation Problems |
| Organisation | CERFACS |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | Expertise on variational data assimilation and experience of preconditioning these problems. |
| Collaborator Contribution | Wide experience of preconditioning methods from numerical linear algebra, with some experience in data assimilation. |
| Impact | No outputs so far |
| Start Year | 2023 |
| Description | PVDAP: Network on Preconditioning for Variational Data Assimilation Problems |
| Organisation | Eindhoven University of Technology |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Expertise on variational data assimilation and experience of preconditioning these problems. |
| Collaborator Contribution | Wide experience of preconditioning methods from numerical linear algebra, with some experience in data assimilation. |
| Impact | No outputs so far |
| Start Year | 2023 |
| Description | PVDAP: Network on Preconditioning for Variational Data Assimilation Problems |
| Organisation | University of Potsdam |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Expertise on variational data assimilation and experience of preconditioning these problems. |
| Collaborator Contribution | Wide experience of preconditioning methods from numerical linear algebra, with some experience in data assimilation. |
| Impact | No outputs so far |
| Start Year | 2023 |
| Description | PVDAP: Network on Preconditioning for Variational Data Assimilation Problems |
| Organisation | University of Strathclyde |
| Department | Mathematics and Statistics Strathclyde |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Expertise on variational data assimilation and experience of preconditioning these problems. |
| Collaborator Contribution | Wide experience of preconditioning methods from numerical linear algebra, with some experience in data assimilation. |
| Impact | No outputs so far |
| Start Year | 2023 |
| Description | Retrievals of ice density and riming from BAECC 2014 field campaign, Hyytiala |
| Organisation | Finnish Meteorological Institute |
| Country | Finland |
| Sector | Public |
| PI Contribution | Making an optimal estimation retrieval of ice density and riming from radar data, evaluated against in situ measurements at the surface; the bulk of the analysis and writing were made here. |
| Collaborator Contribution | Partner at FMI and University of Helsinki provided in situ snow measurements and analysis, and partner at University of Cologne provided multiple-frequency radar observations and analysis, from the snow experiment intensive observation period of the BAECC 2014 field campaign in Hyytiala, Finland. |
| Impact | Presentations at international conferences (EGU), a paper published in JGR-Atmospheres, and a paper in preparation for Atmospheric Measurement Techniques. |
| Start Year | 2016 |
| Description | Retrievals of ice density and riming from BAECC 2014 field campaign, Hyytiala |
| Organisation | University of Cologne |
| Department | Institute of Geophysics and Meteorology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Making an optimal estimation retrieval of ice density and riming from radar data, evaluated against in situ measurements at the surface; the bulk of the analysis and writing were made here. |
| Collaborator Contribution | Partner at FMI and University of Helsinki provided in situ snow measurements and analysis, and partner at University of Cologne provided multiple-frequency radar observations and analysis, from the snow experiment intensive observation period of the BAECC 2014 field campaign in Hyytiala, Finland. |
| Impact | Presentations at international conferences (EGU), a paper published in JGR-Atmospheres, and a paper in preparation for Atmospheric Measurement Techniques. |
| Start Year | 2016 |
| Description | Retrievals of ice density and riming from BAECC 2014 field campaign, Hyytiala |
| Organisation | University of Helsinki |
| Department | Department of Physics |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Making an optimal estimation retrieval of ice density and riming from radar data, evaluated against in situ measurements at the surface; the bulk of the analysis and writing were made here. |
| Collaborator Contribution | Partner at FMI and University of Helsinki provided in situ snow measurements and analysis, and partner at University of Cologne provided multiple-frequency radar observations and analysis, from the snow experiment intensive observation period of the BAECC 2014 field campaign in Hyytiala, Finland. |
| Impact | Presentations at international conferences (EGU), a paper published in JGR-Atmospheres, and a paper in preparation for Atmospheric Measurement Techniques. |
| Start Year | 2016 |
| Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
| Organisation | ACRI-ST |
| Country | France |
| Sector | Private |
| PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
| Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
| Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
| Start Year | 2014 |
| Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
| Organisation | King's College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
| Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
| Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
| Start Year | 2014 |
| Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
| Organisation | Rutherford Appleton Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
| Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
| Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
| Start Year | 2014 |
| Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
| Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
| Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
| Start Year | 2014 |
| Description | Sentinel-3 New Products |
| Organisation | ACRI-ST |
| Country | France |
| Sector | Private |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Sentinel-3 New Products |
| Organisation | Brockmann Consult |
| Country | Germany |
| Sector | Private |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Sentinel-3 New Products |
| Organisation | King's College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Sentinel-3 New Products |
| Organisation | Rutherford Appleton Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Sentinel-3 New Products |
| Organisation | Swansea University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Sentinel-3 New Products |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
| Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
| Impact | Project only just started |
| Start Year | 2016 |
| Description | Smoother for Met Office ocean reanalyses |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | New smoother algorithm developed which allows 4D assimilation of ocean data without running adjoint and can be applied to current operational reanalysis data. This work has now been put on stronger theoretical basis and extended. Paper has been published A second paper is about to be submitted which breaks new ground and allows application to ensemble systems A Recent jointly authored met office report demonstrates results of improvements initiated from this collaboration https://digital.nmla.metoffice.gov.uk/IO_cb2028c5-0dd9-46d3-9910-bdd125f7f3ad/ |
| Collaborator Contribution | Met Office prepared ocean reanalysis data saving additional information First results now also available from applying to ECMWF ocean reanalysis ORAS5 New ECMWF special project awarded |
| Impact | Dong, B., K. Haines and M. Martin. (2021) Improved high resolution ocean reanalyses using a simple smoother algorithm. JAMES, https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2021MS002626 A new ocean reanalysis product from Met Office will result after further testing Dong, B., R. Bannister, Y. Chen, A. Fowler and K. Haines. (2023) A simple smoother designed for improving ocean reanalyses. Submitted to GMD. |
| Start Year | 2019 |
| Description | Supporting PICASSO field campaign with radar retrievals of ice clouds |
| Organisation | University of Reading |
| Department | Department of Meteorology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Ground support for radar and radiosondes from Chilbolton observatory during flights of the FAAM aircraft over southern England. Application of CAPTIVATE retrieval algorithm to multiple-frequency Doppler radar measurements from the PICASSO field campaign. Co-supervision of a PhD project using PICASSO measurements beginning 2019. |
| Collaborator Contribution | Radar and in situ measurement components of PICASSO field campaign and associated research. |
| Impact | Ongoing collaboration is expected to yield retrieved ice cloud and rain datasets from cases during the field campaign, evaluation of ice microphysics assumptions made within the retrieval, and associated journal articles. |
| Start Year | 2018 |
| Description | Supporting PICASSO field campaign with radar retrievals of ice clouds |
| Organisation | University of Reading |
| Department | Department of Meteorology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Ground support for radar and radiosondes from Chilbolton observatory during flights of the FAAM aircraft over southern England. Application of CAPTIVATE retrieval algorithm to multiple-frequency Doppler radar measurements from the PICASSO field campaign. Co-supervision of a PhD project using PICASSO measurements beginning 2019. |
| Collaborator Contribution | Radar and in situ measurement components of PICASSO field campaign and associated research. |
| Impact | Ongoing collaboration is expected to yield retrieved ice cloud and rain datasets from cases during the field campaign, evaluation of ice microphysics assumptions made within the retrieval, and associated journal articles. |
| Start Year | 2018 |
| Description | The role of L-band SAR and LiDAR data to map forest aboveground biomass in Malaysian Borneo |
| Organisation | Japanese Aerospace Exploration Agency |
| Country | Japan |
| Sector | Public |
| PI Contribution | To develop and validate algorithms that combine LiDAR-derived AGB estimates and the backscatter intensity from L-band SAR data in Malaysian Borneo. Empirical and semi-empirical methods will be used to model forest AGB (from a combination of field and LiDAR data) against metrics generated from L-band SAR data. On this basis, forest AGB maps will be generated for the study area. The LiDAR-based AGB estimates are available for a given number of representative sites in the Malaysian Borneo. Spatially and temporally coincident L-band SAR data (i.e., ALOS PALSAR and ALOS-2 PALSAR-2) will be acquired and prior to modelling will be used to perform a sensitivity analysis to understand how L-band SAR backscatter intensity (HH and HV polarizations) changes as a function of forest AGB, and to evaluate potential saturation problems. |
| Collaborator Contribution | See above |
| Impact | NA |
| Start Year | 2016 |
| Description | The role of L-band SAR and LiDAR data to map forest aboveground biomass in Malaysian Borneo |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | To develop and validate algorithms that combine LiDAR-derived AGB estimates and the backscatter intensity from L-band SAR data in Malaysian Borneo. Empirical and semi-empirical methods will be used to model forest AGB (from a combination of field and LiDAR data) against metrics generated from L-band SAR data. On this basis, forest AGB maps will be generated for the study area. The LiDAR-based AGB estimates are available for a given number of representative sites in the Malaysian Borneo. Spatially and temporally coincident L-band SAR data (i.e., ALOS PALSAR and ALOS-2 PALSAR-2) will be acquired and prior to modelling will be used to perform a sensitivity analysis to understand how L-band SAR backscatter intensity (HH and HV polarizations) changes as a function of forest AGB, and to evaluate potential saturation problems. |
| Collaborator Contribution | See above |
| Impact | NA |
| Start Year | 2016 |
| Description | Turing University Network |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The University of Leicester has joined the Turing University Network. Prof. Heiko Balzter has been invited to give a presentation on 22 March 2024 on self-learning digital twins and AI for sustainable land management as part of this network. |
| Collaborator Contribution | n/a |
| Impact | Presentation on 22 March 2024 to the network |
| Start Year | 2023 |
| Description | UN Decade of Ocean Sciences - Programme ForeSea - Steering Committee |
| Organisation | Dalhousie University |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | I provide expertise on the prediction of ocean biogeochemistry by means of assimilative ocean models |
| Collaborator Contribution | They provide expertise on ocean physics predictions |
| Impact | The programme has just started. No major outcomes to report so far |
| Start Year | 2021 |
| Description | Using infrasound observations to infer middle and upper level atmospheric winds |
| Organisation | Norwegian Seismic Array |
| Country | Norway |
| Sector | Private |
| PI Contribution | I provided and implementation of the Ensemble Kalman Filter to perform the data assimilation process. I spent 3 months August-November 2021 as a visitor scientist in NORSAR and University of Oslo. The funding for this visit came from a successful proposal to the Research Council of Norway. |
| Collaborator Contribution | The partners provided all the observations of explosions in Finland and the measurements from the microbarometer array in Norway. They also provided reanalysis data (ERA5) and a ray-tracing algorithm. |
| Impact | Multidisciplinary: acoustics, data assimilation, stratospheric dynamics. Amezcua, J., Nasholm, P., Blixt, M. and Charlton-Perez, A. (2020) Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds. Quarterly Journal of the Royal Meteorological Society, 146 (731). pp. 2634-2653. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3809 Amezcua, J. and Barton, Z. (2021) Assimilating atmospheric infrasound data to constrain atmospheric winds in a two-dimensional grid. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4141 |
| Start Year | 2019 |
| Description | Using infrasound observations to infer middle and upper level atmospheric winds |
| Organisation | University of Oslo |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | I provided and implementation of the Ensemble Kalman Filter to perform the data assimilation process. I spent 3 months August-November 2021 as a visitor scientist in NORSAR and University of Oslo. The funding for this visit came from a successful proposal to the Research Council of Norway. |
| Collaborator Contribution | The partners provided all the observations of explosions in Finland and the measurements from the microbarometer array in Norway. They also provided reanalysis data (ERA5) and a ray-tracing algorithm. |
| Impact | Multidisciplinary: acoustics, data assimilation, stratospheric dynamics. Amezcua, J., Nasholm, P., Blixt, M. and Charlton-Perez, A. (2020) Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds. Quarterly Journal of the Royal Meteorological Society, 146 (731). pp. 2634-2653. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3809 Amezcua, J. and Barton, Z. (2021) Assimilating atmospheric infrasound data to constrain atmospheric winds in a two-dimensional grid. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4141 |
| Start Year | 2019 |
| Description | Working Group on Earth Observation for Ecology and Epidemiology of Water-associated Disease |
| Organisation | Council of Scientific and Industrial Research (CSIR) |
| Department | National Institute Of Oceanography (NIO) |
| Country | India |
| Sector | Public |
| PI Contribution | Activities 2019/20: Following outputs/impacts have been achieved: 1) Working Group activities have been described and reported in peer-reviewed publication Smail et al. 2019, doi:10.1080/1755876X.2019.163495; 2) Review article on Earth Observations for monitoring of Vibrio cholerae bacteria and cholera outbreak has been published in peer-reviewed journal. This forms a contribution to the WG (Racault et al., 2019, https://doi.org/10.3390/rs11232763); and 3) News article contribution about WG activities in the GEO Blue Planet newsletter at: https://mailchi.mp/e04fcd2fa550/geo-blue-planet-up date-january-4143313?e=fca568b64e Activities 2018/19: Establishment of a core group of scientists with common interests in water-associated diseases, with expertise and interest in microbiology, genetics, epidemiology of infectious diseases, remote sensing and epidemic modelling, as a basis for international collaboration on public health issues related to water quality. The new GEO Blue Planet Working Group aimed to identify benefits, best practices and feasibility of incorporating Earth observation measurements into early-warning systems for water-associated diseases. It will provide a forum to exchange useful information, share data and coordinate activities where feasible, to maximise benefits to society. This initiative has been recognised as an important GEO Blue Planet activity under Theme 2 'Healthy Ecosystems and Food Security' and with societal relevance to public health, food security, water management, biodiversity and ecosystem sustainability, and disaster resilience. The WG activities are further adding value to GEO health community of practice and AquaWatch initiatives. Racault, M-F, Sathyendranath, S and Platt, T have initiated the Working Group. Racault, M-F has successfully obtained funding from Partnership for Observations of the Global Oceans (POGO) to hold a Scoping Meeting in Abingdon, UK, in August 2018. The meeting was organised over two days, and was structured around a series of presentations followed by discussion sessions. |
| Collaborator Contribution | Activities 2019/20: WG members Racault, Sathyendranath, Platt, Abdulaziz, Menon, and George have published new review article in peer-reviewed journal. Reference: Racault M-F, Abdulaziz A, George G, Menon N, Jasmin C, Punathil M, McConville K, Loveday B, Platt T, Sathyendranath S, Vijitha V (2019) Environmental Reservoirs of Vibrio cholerae: Challenges and Opportunities for Ocean-Color Remote Sensing. Remote Sensing 11, 2763 Activities 2018/19: A total of 18 participants from six countries participated in the meeting. Several invitees were unable to attend, but expressed interest in staying engaged with the working group. All participants prepared a presentation to introduce their research interests on the topics of EO and water-associated diseases, state what they hoped to see as outcomes from the scoping meeting, and also express their aspirations for the proposed working group. WG partners and countries: Argentina: NFRDI; Brazil: INPE; India: NIO, NERCI; Japan: JAMSTEC, GSAIS Kyoto University; South Africa: SMRA, University of Pretoria; UK: Cefas, PML, Reading University, Wellcome Sanger Institute, London School of Hygiene and Tropical Medicine LSTHM; USA: Maryland University, West Virginia University |
| Impact | Activities 2019/20: 1) Working Group activities have been described and reported in peer-reviewed publication Smail et al. 2019, doi:10.1080/1755876X.2019.163495 2) Review article on Earth Observations for monitoring of Vibrio cholerae bacteria and cholera outbreak has been published in peer-reviewed journal. This forms a formal contribution to the WG. Reference: Racault et al., 2019, https://doi.org/10.3390/rs11232763 3) WG activities have been reported in the GEO Blue Planet newsletter at: https://mailchi.mp/e04fcd2fa550/geo-blue-planet-update-january-4143313?e=fca568b64e Activities 2018/19: The following Milestones and Deliverables have been achieved: 1) Funding awarded by POGO to hold Scoping Meeting of the WG 27/06/2018 2) Poster presentation of the WG at the GEO Blue Planet Symposium 04/07/2018 3) WG webpage available on GEO Blue Planet website 01/08/2018 https://geoblueplanet.org/blue-planet-activities/wg_eo_water-associated_diseases/ 4) Scoping Group Meeting held 30/08/2018 5) WG formation agreed by attendees of the Scoping Meeting 31/08/2018 6) Poster presentation of the WG at the UK National Earth Observation Conference 07/09/2018 7) Scoping Group Meeting report circulated to participants for feedback 23/10/2018 8) Presentation of the GEO BP WG by NCEO/GEO at the GEO plenary exhibition 2018 29/10/2018 8) POGO Report submitted 12/11/2018 http://www.ocean-partners.org/earth-observation-ecology-and-epidemiology-water-associated-diseases 9) WG report presentation at the POGO Annual Meeting 21/01/2019 10) WG contribution to the GEO Blue Planet Implementation 2020-2022 submitted 28/02/2018 |
| Start Year | 2018 |
| Description | Working Group on Earth Observation for Ecology and Epidemiology of Water-associated Disease |
| Organisation | Japan Agency for Marine-Earth Science and Technology |
| Country | Japan |
| Sector | Public |
| PI Contribution | Activities 2019/20: Following outputs/impacts have been achieved: 1) Working Group activities have been described and reported in peer-reviewed publication Smail et al. 2019, doi:10.1080/1755876X.2019.163495; 2) Review article on Earth Observations for monitoring of Vibrio cholerae bacteria and cholera outbreak has been published in peer-reviewed journal. This forms a contribution to the WG (Racault et al., 2019, https://doi.org/10.3390/rs11232763); and 3) News article contribution about WG activities in the GEO Blue Planet newsletter at: https://mailchi.mp/e04fcd2fa550/geo-blue-planet-up date-january-4143313?e=fca568b64e Activities 2018/19: Establishment of a core group of scientists with common interests in water-associated diseases, with expertise and interest in microbiology, genetics, epidemiology of infectious diseases, remote sensing and epidemic modelling, as a basis for international collaboration on public health issues related to water quality. The new GEO Blue Planet Working Group aimed to identify benefits, best practices and feasibility of incorporating Earth observation measurements into early-warning systems for water-associated diseases. It will provide a forum to exchange useful information, share data and coordinate activities where feasible, to maximise benefits to society. This initiative has been recognised as an important GEO Blue Planet activity under Theme 2 'Healthy Ecosystems and Food Security' and with societal relevance to public health, food security, water management, biodiversity and ecosystem sustainability, and disaster resilience. The WG activities are further adding value to GEO health community of practice and AquaWatch initiatives. Racault, M-F, Sathyendranath, S and Platt, T have initiated the Working Group. Racault, M-F has successfully obtained funding from Partnership for Observations of the Global Oceans (POGO) to hold a Scoping Meeting in Abingdon, UK, in August 2018. The meeting was organised over two days, and was structured around a series of presentations followed by discussion sessions. |
| Collaborator Contribution | Activities 2019/20: WG members Racault, Sathyendranath, Platt, Abdulaziz, Menon, and George have published new review article in peer-reviewed journal. Reference: Racault M-F, Abdulaziz A, George G, Menon N, Jasmin C, Punathil M, McConville K, Loveday B, Platt T, Sathyendranath S, Vijitha V (2019) Environmental Reservoirs of Vibrio cholerae: Challenges and Opportunities for Ocean-Color Remote Sensing. Remote Sensing 11, 2763 Activities 2018/19: A total of 18 participants from six countries participated in the meeting. Several invitees were unable to attend, but expressed interest in staying engaged with the working group. All participants prepared a presentation to introduce their research interests on the topics of EO and water-associated diseases, state what they hoped to see as outcomes from the scoping meeting, and also express their aspirations for the proposed working group. WG partners and countries: Argentina: NFRDI; Brazil: INPE; India: NIO, NERCI; Japan: JAMSTEC, GSAIS Kyoto University; South Africa: SMRA, University of Pretoria; UK: Cefas, PML, Reading University, Wellcome Sanger Institute, London School of Hygiene and Tropical Medicine LSTHM; USA: Maryland University, West Virginia University |
| Impact | Activities 2019/20: 1) Working Group activities have been described and reported in peer-reviewed publication Smail et al. 2019, doi:10.1080/1755876X.2019.163495 2) Review article on Earth Observations for monitoring of Vibrio cholerae bacteria and cholera outbreak has been published in peer-reviewed journal. This forms a formal contribution to the WG. Reference: Racault et al., 2019, https://doi.org/10.3390/rs11232763 3) WG activities have been reported in the GEO Blue Planet newsletter at: https://mailchi.mp/e04fcd2fa550/geo-blue-planet-update-january-4143313?e=fca568b64e Activities 2018/19: The following Milestones and Deliverables have been achieved: 1) Funding awarded by POGO to hold Scoping Meeting of the WG 27/06/2018 2) Poster presentation of the WG at the GEO Blue Planet Symposium 04/07/2018 3) WG webpage available on GEO Blue Planet website 01/08/2018 https://geoblueplanet.org/blue-planet-activities/wg_eo_water-associated_diseases/ 4) Scoping Group Meeting held 30/08/2018 5) WG formation agreed by attendees of the Scoping Meeting 31/08/2018 6) Poster presentation of the WG at the UK National Earth Observation Conference 07/09/2018 7) Scoping Group Meeting report circulated to participants for feedback 23/10/2018 8) Presentation of the GEO BP WG by NCEO/GEO at the GEO plenary exhibition 2018 29/10/2018 8) POGO Report submitted 12/11/2018 http://www.ocean-partners.org/earth-observation-ecology-and-epidemiology-water-associated-diseases 9) WG report presentation at the POGO Annual Meeting 21/01/2019 10) WG contribution to the GEO Blue Planet Implementation 2020-2022 submitted 28/02/2018 |
| Start Year | 2018 |
| Description | chemical weapon detection from Space |
| Organisation | University of Bristol |
| Department | School of Physics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | working with a PhD student and supervisors on simulating chemical weapon releases and instrumentation required to detect this signal from Spaceborne instrumentation. Monthly discussion meetings. |
| Collaborator Contribution | running relevant simulations and monthly discussions |
| Impact | trying to identify sources of future funding to continue work after PhD project ends. |
| Start Year | 2020 |
| Title | Multi-sensor Matchup Database for Surface Temperature |
| Description | Matchup Database for validating extracted satellite observations with in situ measurements, extracted satellite observations with simulated surface temperature, and intercomparsions between multiple instrument datasets |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | A key step in the processing chain of multi-sensor full archive Land Surface Temperature data products |
| Title | RFM v5.20 |
| Description | The Reference Forward Model (RFM) is a Fortran90 line-by-line radiative transfer model suitable for modelling radiance and transmittance spectra under various atmospheric conditions and viewing geometries. |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Impact | During 2023 there were requests for the RFM code and/or queries from 26 different users (7 UK + 19 overseas), mostly from academic institutions, for a wide variety of applications. |
| URL | https://eodg.atm.ox.ac.uk/RFM/ |
| Title | Sensor Independent Atmospheric Correction (SIAC) package |
| Description | A multi-sensor atmospheric correction scheme for optical data, including sensors such as Sentinel 2, Landsat 8. The developed method is novel and has shown great promise in the ACIX-II intercomparison exercise. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | The SIAC software has been benchmarked with other common products over the UK and found to produce more accurate estimates of atmospheric composition than competing approaches. The approach has also been part of the ACIX-II intercomparison exercise, showcasing its ability to produce accurate results both for Sentinel 2 and Landsat 8. |
| URL | https://github.com/marcyin/siac |
| Description | 'Lates' at the Natural History Museum |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | The Natural History Museum hosts an exhibition of pop-up stations publicising their science to the general public from 6-10pm on the last Friday of every month. NCEO had a 'chill out' room with cushions where viewers could relax and look at Earth Observation images. This seemed to be particularly popular with the public as well as scientists in other areas and lots of interesting questions and discussions ensued. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.nhm.ac.uk/events/lates.html |
| Description | 2018/12 Press release and blog on recent research detailing projections in Africa rainfall |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | A press release and blog were developed to disseminate new research discussing projected changes in Africa rainfall |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://blogs.reading.ac.uk/weather-and-climate-at-reading/2018/later-wet-seasons-with-more-intense-... |
| Description | 2019/01 School visit to discuss The Science of Climate Change |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | A presentation and practical demonstrations on the Science of Climate Change to Year 7/8 and teachers. |
| Year(s) Of Engagement Activity | 2017,2019 |
| URL | http://www.met.rdg.ac.uk/~sgs02rpa/TALKS/AllanRP2019Wandsworth.pdf |
| Description | BBC World News Article about paper on cholera and AI and ECVs |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | The BBC World News wrote an article about PODCAST project and peer-reviewed paper on Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables by Campbell, Racault, Goult and Laurenson, published in the journal Int. J. Environ. Res. Public Health in Dec 2020. The BBC news article has been translated in many languages: https://www.bbc.com/arabic/science-and-tech-56185703 https://www.bbc.com/hausa/labarai-56184840 https://www.bbc.com/tigrinya/news-56179528 https://www.bbc.com/indonesia/majalah-56178147 https://www.bbc.com/pashto/science-and-technology-56192581 |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.bbc.com/arabic/science-and-tech-56185703 |
| Description | BLOG 20/05 - blog on how reduced air pollution, as experienced during the COVID19 lockdowns, can increase sunlight reaching the surface, influencing weather and climate |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | Blog on how reduced air pollution, as experienced during the COVID19 lockdowns, can increase sunlight reaching the surface and influencing weather and climate. This led to media interest and an article in the Guardian and Newsweek |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://blogs.reading.ac.uk/weather-and-climate-at-reading/2020/do-cuts-in-particle-pollution-accele... |
| Description | BLOG 20/09 - contribution to Physics World article asking: Has the COVID-19 lockdown changed Earth's climate? |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Schools |
| Results and Impact | Contribution to Physics World article asking: Has the COVID-19 lockdown changed Earth's climate with readers expressing change in opinions |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://physicsworld.com/a/has-the-covid-19-lockdown-changed-earths-climate/ |
| Description | BLOG 20/11 |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Research published by project partners (Allison et al. 2020) was disseminated to a wider audience in a Met Office blob which led to interest on social media and requests for more information. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.metoffice.gov.uk/research/news/2020/how-to-measure-the-heating-of-the-planet |
| Description | BLOG 2018/09 Blog to publicise research on Southern Ocean biases in climate simulations |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Blog outlining new research in which we traced large and long-standing biases in computer simulations of climate, affecting the tempestuous Southern Ocean, to errors in cloud that emerge rapidly within the atmospheric models |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://blogs.reading.ac.uk/weather-and-climate-at-reading/2018/cloud-climate-and-the-roaring-40s/ |
| Description | BLOG 2022/10 Contributed to NOAA climate.gov blog on Where is the heat going during La Nina? |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | I contributed to a NOAA climate.gov blog and discussion on "Where is the heat going during La Nina?" to uncover the science behind the recent unusually lengthy La Nina climate event that picked up on recent research including my own and disseminated this informatiopn widely |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.climate.gov/news-features/blogs/where-does-global-warming-go-during-la-ni%C3%B1a-0 |
| Description | COP26 Earth information Day poster presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Display and presentation of poster at Earth Information Day, part of COP26. Our poster described the use of model-data fusion to inform on forest regrowth after disturbance in the seasonally dry-tropics. Such tools can provide informed decision making for land managers on how forests are likely to regrow in response to disturbance under climate change. Questions helped refine the our understanding of what is expected in terms of a user friendly tool for use in beyond the academic sphere. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://unfccc.int/sites/default/files/resource/Earth%20Information%20for%20Climate%20Action%20%E2%8... |
| Description | COVID-19 NO2 over SE Asia |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Images of NO2 over Asia which I contributed to the development of were used in a Sky News broadcast |
| Year(s) Of Engagement Activity | 2020 |
| Description | Climate change is spinning up the global energy and water cycles. |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Departmental blog discussing climate change and the global energy and water cycles including the use of satellite data in testing computer simulations. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://blogs.reading.ac.uk/weather-and-climate-at-reading/2019/climate-change-is-spinning-up-the-glo... |
| Description | Contribution to ESA's 'Campaign Earth' blog |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Description of campaign activities in support of the FORUM mission - at the time a candidate for ESA's Earth Explorer 9. The 'Campaign Earth' website is designed to inform the general public about campaigns that are taking place in support of ESA Earth Observation missions. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://blogs.esa.int/campaignearth/2019/03/25/flying-for-forum-a-day-in-the-life-of-a-phd-student/ |
| Description | ESA Climate Detectives Projects |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Schools |
| Results and Impact | ESA Education are involved in a Climate Detectives project whereby groups in schools all over the world are investigating climate change. The first leg of this project was to produce a proposal for their investigation - 8 of which I gave personal feedback for - and the second was to simultaneously join a webinar broadcast on YouTube boasting an audience of over 400 school students. The groups were given the opportunity to submit their questions prior to the seminar and a feed was available to also ask questions in real time. The webinar has subsequently been published on YouTube and is available for public viewing. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.youtube.com/watch?v=Bz9NBdHgZDk |
| Description | ESA Living Planet Symposium 2019: presentation at the UKSA/NCEO stand |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation entitled "Increased burnt area detection from multi-temporal radar data: Sentinel-1 and the 2015 fires in Indonesia". |
| Year(s) Of Engagement Activity | 2019 |
| Description | ESA TRUTHS Mission Infographic short video |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | An infographic for the TRUTHS mission included on the Space4Climate website to help explain the mission and encourage new careers in the Climate / Space Science sector. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://space4climate.com/truths-mission-careers/ |
| Description | ESA on Instagram: "Predicting Cholera outbreaks from space?" - Post got more than 49K likes |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | The ESA posted on Instagram about PODCAST project and peer-reviewed paper on Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables by Campbell, Racault, Goult and Laurenson, published in the journal Int. J. Environ. Res. Public Health in Dec 2020. The post received more than 49,000 likes and more than 350 comments as of 4 Mar 2021. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.instagram.com/p/CJUBiRGAY5S/?utm_source=ig_web_copy_link |
| Description | Exhibition at Natural History Museum - Lates |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | "Your Planet Needs You: Weighing the world's forests from space - ESA's BIOMASS mission", organized at the Natural History Museum (London) to showcase NERC's science. A major event with hundreds of visitors. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Financial Reporting for Climate - in conversation with Deloitte and HSBC | February 10 2022 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Setting out the climate science context for business event focusing on Financial Reporting for Climate - in conversation with Deloitte and HSBC . This sparked questions and requests for further information. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://deloitte.zoom.us/webinar/register/WN_o-H51f6ZRKqM2Jm7wE6tJw |
| Description | Formal Working Group on Land Surface Temperature |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Forum for the data providers and users to come together to share knowledge |
| Year(s) Of Engagement Activity | 2014,2015,2016 |
| Description | Good COP bad COP blog discussing COP26 outcomes |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Contributed to blog, involving discussion and requests for more infomation |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://mylittlegreenwardrobe.com/blogs/news/cop26-good-cop-bad-cop |
| Description | Guardian Live Panel Discussion "The climate emergency: Your questions answered" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | A Question Time style debate about the climate emergency. This involved a brief introduction and answering questions from the audience of around 260 from the general public. This sparked discussion and questions afterwards and the possibility of new collaborations. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://membership.theguardian.com/event/the-climate-emergency-your-questions-answered-85482577691 |
| Description | ISSI Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | 1 week ISSI workshop by invitation |
| Year(s) Of Engagement Activity | 2022 |
| Description | Image used within a news article about the La Palma volcanic eruption |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Involvement in a news article (in Spanish) outlining the recent volcanic eruption the island of La Palma for Euronews. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://es.euronews.com/2021/09/27/los-satelites-aliados-imprescindibles-en-la-crisis-del-volcan-de-... |
| Description | Inited talk at the Mercator Ocean International Marine Data Assimilation workshop |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Being a recognized expert in marine biogeochemical data assimilation, I was invited to give a talk entitled "State-of-the-art of biogeochemical data assimilation" at the international workshop organized by Mercator Ocean International (which is the organization implementing the Copernicus Marine Environment Monitoring Service in the framework of a delegation agreement with the European Union), in Toulouse, France, 5-6 September 2018 (https://www.mercator-ocean.fr/en/news/marine-data-assimilation/). The workshop objective was to set the scene for creating a long-term European infrastructure in marine data assimilation. The works of the workshop were reported in a document that has the aim to support the definition of a strategy for the development of Marine Data Assimilation in Europe. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.mercator-ocean.fr/en/news/marine-data-assimilation/ |
| Description | Interview for BBC North West on the Saddleworth Moor Fires |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | Gave a short interview to BBC North West Tonight (13th Jun 2023) on the Saddleworth Moor Fires for their regional news programme. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Interview for Washington Post Newspaper |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Interview on the effects of the 2019/2020 Australia bushfires |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.washingtonpost.com/weather/2020/01/07/pollutants-bush-fires-australia-will-circle-globe/ |
| Description | Interview for national news |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Interview with BBC News describing FORUM mission after its selection as Earth Explorer 9. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.bbc.co.uk/news/av/science-environment-49811239/forum-satellite-will-investigate-how-eart... |
| Description | Invited plenary talk at the OceanPredict 19 Symposium |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a talk on the future directions that marine biogeochemical DA should take, to an audience including the leading global actors of operational oceanography as well as the private sector and governmental users. The talk sparked question and interest on marine ecoystems. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://oceanpredict19.org/ |
| Description | Invited talk at international "The Global Biogeochemical-Argo Fleet: Knowledge to Action Workshop": Title: "Assimilation of biogeochemical data in marine ecosystem models: status and perspectives" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk at international workshop to promote the expansion of the BGC-Argo fleet to study/predict the ocean |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.youtube.com/watch?v=UoGMuMDIUxw |
| Description | Invited talk at the CMEMS General Assembly 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | I represented the CMEMS Service Evolution (SE) programme in a talk on the impacts of the SE projects on CMEMS operational systems (including my SE projects TOSCA and OPTIMA). This wass an ideal venue to highlight PML/NCEO/NERC Data Assimilation impact on Copernicus marine services and beyond. The talk sparked questions and interest. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://marine.copernicus.eu/copernicus-marine-service-general-assembly/ |
| Description | MEDIA 19/07 - Interview with New Scientist about amplifying cloud climate feedback study (also reported in Earth.com) |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Interview with New Scientist about a study highlighting a possible new amplifying cloud climate feedback associated with cirrus outflow (also reported in Earth.com) |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.newscientist.com/article/2209661-climate-change-may-thin-high-altitude-clouds-and-trigge... |
| Description | MEDIA 19/07 Interview by Talk Radio on if London's climate will become like Barcelona by 2050 |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Interview by Talk Radio on a new study purporting that London's climate will become like Barcelona by 2050 |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://mms.tveyes.com/Transcript.asp?StationID=13555&DateTime=7%2F13%2F2019+3%3A03%3A34+AM&Term=Uni... |
| Description | MEDIA 19/07 Interview with LBC discussing the July 2019 heatwave also reported in The Telegraph following Science Media Centre quote. |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Interview with LBC discussing the July 2019 heatwave in the context of climate change that was also reported in The Telegraph following liaison through the Science Media Centre. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.sciencemediacentre.org/expert-reaction-to-uk-heatwave/ |
| Description | MEDIA 19/08 - Is July 2019 the hottest month globally ever recorded? |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Science Media Centre quote on the exceptional July 2019 global temperatures in the context of climate change that was picked up by Evening Standard and many regional news outlets |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.standard.co.uk/news/world/july-set-to-be-jointwarmest-month-on-record-and-may-be-the-hot... |
| Description | MEDIA 19/09 - University of Reading press release ahead of the New York UN Climate Action Summit |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | University of Reading press release ahead of the New York UN Climate Action Summit |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.reading.ac.uk/news-and-events/releases/PR809880.aspx |
| Description | MEDIA 19/10 Participating in a Science media communication workshop |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Participating in a science media communications workshop focusing on climate change |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.sciencemediacentre.org/working-with-us/for-scientists/intro/ |
| Description | MEDIA 19/12 - BBC World Service interview on the outcome of COP25 climate meeting on climate policy |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | BBC World Service interview on the outcome of COP25 climate meeting on climate policy which sparked discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://mms.tveyes.com/Transcript.asp?StationID=7195&DateTime=12%2F15%2F2019+1%3A12%3A47+PM&Term=Red... |
| Description | MEDIA 19/12 - comments on WMO state of the climate to Science Media Centre/Associated Press |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Science Media Centre comments on WMO Provisional Statement on State of Climate in 2019 (e.g. Associated Press) |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.sciencemediacentre.org/expert-reaction-to-the-provisional-statement-on-the-state-of-the-... |
| Description | MEDIA 20/01 - France 24 debate about Australian bushfires and climate change |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | France 24 debate about Australian bushfires and climate change that sparked questions and debate from panel members and audience |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.france24.com/en/20200114-why-is-australia-bruning-bushfires-spark-calls-for-urgent-overh... |
| Description | MEDIA 20/03 - press release on postponement of Glasgow COP26 climate meeting |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Press release commenting on postponement of Glasgow COP26 climate meeting |
| Year(s) Of Engagement Activity | 2020 |
| URL | http://www.reading.ac.uk/news-and-events/releases/PR838689.aspx |
| Description | MEDIA 20/07 - Comments on State of UK climate report |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Comments on State of UK climate report with further interest by media including Independent article |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.sciencemediacentre.org/expert-reaction-to-the-6th-state-of-the-uk-climate-report/ |
| Description | MEDIA 20/07 - Comments on climate mitigation in Science Media Centre press release |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Comments on climate mitigation in Science Media Centre press release which generated media interest including quotes in the Wall Street Journal |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.sciencemediacentre.org/expert-reaction-to-study-looking-at-when-global-temperatures-migh... |
| Description | MEDIA 20/08 - Comment in Independent article on wheat yields |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Comment in Independent article on wheat yields with requests for further participation |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.independent.co.uk/environment/climate-crisis-extreme-weather-uk-temperature-heat-farmers... |
| Description | MEDIA 20/08 - comments on State of the climate 2019 publication |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Comments on State of the climate 2019 publication in press release. Some further related requests resulted. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.sciencemediacentre.org/expert-reaction-to-state-of-the-climate-in-2019-report/ |
| Description | MEDIA 2021 - BBC Weather World interview on extreme precipitation |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | |