NCEO Data Assimilation Theory and Applications
Lead Research Organisation:
National Centre for Earth Observation
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
- National Centre for Earth Observation (Lead Research Organisation)
- University of Oslo (Collaboration)
- University of Surrey (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- Joseph Fourier University (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Teledyne Technologies International Corp (Collaboration)
- École des ponts ParisTech (Collaboration)
- FOREST RESEARCH (Collaboration)
- Alfred-Wegener Institute for Polar and Marine Research (Collaboration)
- University of Quebec at Montreal (Collaboration)
- CENTRE FOR ENVIRONMENT, FISHERIES AND AQUACULTURE SCIENCE (Collaboration)
- PLYMOUTH MARINE LABORATORY (Collaboration)
- NATIONAL OCEANOGRAPHY CENTRE (Collaboration)
- Norwegian Seismic Array (Collaboration)
- Netherlands Organisation for Scientific Research (NWO) (Collaboration)
- University of Salento (Collaboration)
- RIKEN (Collaboration)
- University of Bremen (Collaboration)
- German Weather Service (Collaboration)
- Ludwig Maximilian University of Munich (LMU Munich) (Collaboration)
- National Centre for Atmospheric Science (NCAS) (Collaboration)
- Mercator Océan (Collaboration)
- University of Tromso (Collaboration)
- National Partnership for Ocean Prediction (NPOP) (Collaboration)
- University of Bergen (Collaboration)
- Nansen Environmental and Remote Sensing Center (Collaboration)
- Dalhousie University (Collaboration)
- Luxembourg Institute of Science and Technology (Collaboration)
- European Centre for Medium Range Weather Forecasting ECMWF (Collaboration)
- National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration)
- Meteorological Office UK (Collaboration)
- United States Naval Research Laboratory (Collaboration)
- Data Assimilation Task Team (DA-TT) (Collaboration)
- Marine Ecosystem And Prediction Task Team (MEAP-TT) (Collaboration)
- Catalan Institute of Climate Sciences (IC3) (Collaboration)
Publications
Zhao L
(2018)
Changes in global vegetation activity and its driving factors during 1982-2013
in Agricultural and Forest Meteorology
Zobitz J
(2014)
Joint data assimilation of satellite reflectance and net ecosystem exchange data constrains ecosystem carbon fluxes at a high-elevation subalpine forest
in Agricultural and Forest Meteorology
Pinnington E
(2016)
Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation
in Agricultural and Forest Meteorology
Myrgiotis V
(2020)
A model-data fusion approach to analyse carbon dynamics in managed grasslands
in Agricultural Systems
Van Leeuwen P
(2017)
Particle Filters for nonlinear data assimilation in high-dimensional systems
in Annales de la Faculté des sciences de Toulouse : Mathématiques
Birner B
(2020)
Gravitational separation of Ar/N<sub>2</sub> and age of air in the lowermost stratosphere in airborne observations and a chemical transport model
in Atmospheric Chemistry and Physics
Pope R
(2015)
Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions
in Atmospheric Chemistry and Physics
| Description | 1. Data assimilation is the science of combining large computer models of geophysical systems to observations. Up to recently all data-assimilation methods had been based on linearisations, while the geophysical systems are (highly) nonlinear. We developed and tested successfully the first fully nonlinear data assimilation methods. These methods have been trialled in idealized systems and as proof of concept for flood forecasting. Further new methods have been developed for nonlinear data assimilation conditional model bias estimation. 2. We determined the net CO2 update of the west-European shelf Seas in collaboration with PML. 3. We determined the net multi-year carbon update by the land surface of the Amazon basin and Australia including the significant contributions of fire. 4. We inferred sources and sinks of carbon using atmospheric chemistry inversions. In particular, we carried out an assessment of methane emissions for the Amazon basin for the period 2010-2018 and Europe for 1990-2017. Furthermore, our work is providing evidence for supporting the funding and development of the new Microcarb satellite mission. 5. We have developed and maintained the data-assimilation software system PDAF that encodes extremely efficient implementations of most mainstream data assimilation methods. This system is coupled to more and more geoscience models to enable scientists to concentrate on their environmental research, using data-assimilation as one of the main tools. It is also a powerful testbed for new data assimilation methods. The user base is growing fast, with over 600 registered users worldwise, and this system is being developed into a community system for NERC scientists. 6. We determined the influence of correlated observation errors on the data assimilation process, and showed that ignoring them can lead to significant degradation of data-assimilation results. Methods for reconditioning estimated observation error covariance matrices have been developed and tested in the Met Office 1D-Var system. Our approaches are now used in national operational numerical weather prediction systems in the UK, USA, France, Germany and Japan among others. 7. Chemical data assimilation in its 4D-variational form has been used by us for the first time to look at changes in largely industrial outputs of ethane highlighting the changing oil and gas industry in the United States. We have also achieved an improved understanding of the natural surface fluxes of organic compounds and their sensitivities to soil moisture conditions. 8. We have developed a novel data assimilation system for the assimilation of a regional product for phytoplankton functional types from ocean-colour. It was first developed for multi-annual reanalysis with the Ensemble Kalman filter. It was then adapted to the operational model of the Met Office, which uses the 3D Var method NEMOVAR with the model NEMO-ERSEM, and tested successfully in (pre)operational 5-day forecasts. A 16-year long reanalysis (multivariate, ensemble simulation with a localised ensemble Kalman filter) of the Mediterranean Sea biogeochemistry was produced. We have now used data assimilation diagnostic techniques to develop new uncertainty estimates for the NEMO_ERSEM system that are improving forecasts and influencing strategic developments in this operational system. 9. A major current issue is to develop data-assimilation for coupled systems. Methods that are fully capable to propagate the information of observations across model components. Toward the development of coupled data assimilation we have: (i) studied the relative importance of explicit and implicit cross-covariance information in coupled atmosphere-ocean DA; (ii) identified the connection between coupled instabilities and data-assimilation. 10. We have advanced on the theory of data assimilation methods on the following aspects: (a) Model error treatment: (i) new results have been obtained on the eigenvalue properties of the saddle-point formulation of weak-constraint 4DVar. (ii) Inclusion of correlated model error in smoother and filter. (b) Combination with machine learning: new hybrid methods combining data assimilation with machine learning have been both theoretically studied and applied. (c) Data assimilation on adaptive mesh-models: a new filter formulation has been proposed. 11. A new and efficient observation operator for including Solar Induced Fluorescence observation in JULES has been developed. We have also used our JULES data assimilation system, together with observations from the Soil Moisture Active Passive (SMAP) satellite mission to better calibrate JULES pedotransfer functions. These uncertain pedotransfer functions relate gridded databases of soil texture information to the soil hydraulic and thermal parameters of land surface models. 12. Our new methods for smoothing have improved widely used ocean reanalyses and are being incorporated into reanalysis products produced by the UK Met Office. |
| Exploitation Route | We collaborate with the Met Office, ECMWF and US ONR to implement our new methods on their systems. The net CO2 uptake of the west-European shelf Seas will inform European coastal management. The data-assimilation software system PDAF is taken up by more and more researchers that want to use data-assimilation as a standard tool to perform environmental research. |
| Sectors | Aerospace Defence and Marine Agriculture Food and Drink Digital/Communication/Information Technologies (including Software) Energy Environment Transport |
| URL | https://research.reading.ac.uk/met-darc/ |
| Description | 1. Work on observational error covariances and on conditioning of the minimisation problem has been implemented in national weather service operational data assimilation systems in the UK, USA, France and Germany, among others. 2. Work on coupled ocean-atmosphere data assimilation for seasonal forecasts has been used by the Met Office and ECMWF. 3. Work on land-surface data assimilation has been taken up by the Forestry commission. 4. A data assimilation system of phytoplankton functional types from ocean-colour is to be used in the ocean operational system of Met Office of the North west European shelf-seas, in the framework of the Copernicus Marine Environment Monitoring service. 5. New DA-ML methods developed within this award to be used in sea-ice forecasting system to estimate parameters 6. New DA smoothing approaches are being incorporated into Met Office ocean reanalysis products. |
| First Year Of Impact | 2014 |
| Sector | Environment |
| Impact Types | Societal Policy & public services |
| Description | Data assimilation training course for early career researchers |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | A 4-day advanced level course on data assimilation theory and practice was delivered to 23 early career researchers. |
| Description | Earth Observation Summer School of the European Space Agency 2018. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | I participated delivering training sessions for PhD students and early career researchers from all over Europe. |
| URL | https://earth.esa.int/web/guest/events/all-events/-/article/eo-summer-school-2018 |
| Description | Implications of the opening of Arctic sea routes: A government commissioned Foresight evidence report on the future accessibility of the Arctic for shipping and the implications for national policy. https://www.gov.uk/government/publications/future-of-the-sea-implications-from-opening-arctic-sea-routes |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| 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 | NOAA grant panel |
| Geographic Reach | North America |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Teaching at data assimilation course in collaboration with ECMWF |
| Geographic Reach | Europe |
| 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. Students from European national meteorological services and universities were trained on the fundamentals of data assimilation. |
| URL | http://www.met.reading.ac.uk/~darc/training/ecmwf_collaborative_training/ |
| 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 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 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 | (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 | A FAIR approach to flood risk |
| Amount | £6,000,000 (GBP) |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2027 |
| 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 | CMEMS TOSCA |
| Amount | € 118,246 (EUR) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2016 |
| End | 03/2018 |
| Description | Copernicus Marine Environment Monitoring Service (Project NOWMAPS) |
| Amount | € 400,000 (EUR) |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2018 |
| End | 03/2021 |
| Description | Copernicus Marine Environment Monitoring Service (project OPTIMA) |
| Amount | € 123,000 (EUR) |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2018 |
| End | 03/2020 |
| Description | Copernicus Marine environment monitoring service (CMEMS) |
| Amount | € 380,000 (EUR) |
| Organisation | Mercator Océan |
| Sector | Private |
| Country | France |
| Start | 04/2015 |
| End | 04/2018 |
| Description | Coupled Ocean-Atmosphere |
| Amount | £275,538 (GBP) |
| Funding ID | NE/M001482/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2015 |
| End | 12/2017 |
| Description | Covariance regularization in data assimilation for coupled dynamical systems. |
| Amount | £99,934 (GBP) |
| Funding ID | EP/V061828/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2021 |
| End | 07/2022 |
| Description | DataLab |
| Amount | £90,000 (GBP) |
| Organisation | Government of Scotland |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2018 |
| Description | Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK) |
| Amount | £616,947 (GBP) |
| Funding ID | NE/S003819/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 01/2024 |
| Description | EPSRC DT/LWEC DARE Pilot Project |
| Amount | £6,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| Description | EPSRC Mathematics of Planet Earth CDT Studentship |
| Amount | £76,148 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2015 |
| End | 09/2019 |
| Description | EPSRC University and Maths DTP Studentship |
| Amount | £57,111 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2016 |
| End | 09/2019 |
| Description | External funding for lecturing |
| Amount | £5,250 (GBP) |
| Organisation | University of Leeds |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2017 |
| End | 01/2018 |
| Description | FFIR FRANC |
| Amount | £875,494 (GBP) |
| Funding ID | NE/K008900/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2013 |
| End | 05/2019 |
| Description | FFIR Integration and KE Fund |
| Amount | £44,872 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2016 |
| End | 03/2016 |
| Description | FFIR TENDERLY |
| Amount | £547,501 (GBP) |
| Funding ID | NE/K00896X/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2016 |
| End | 11/2018 |
| Description | Global Challenges |
| Amount | £110,000 (GBP) |
| Organisation | The Royal Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2017 |
| End | 01/2018 |
| Description | Grand Challenges Research Fund |
| Amount | £157,910 (GBP) |
| Funding ID | NE/P015352/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2017 |
| End | 10/2017 |
| Description | H2020 European Union grant |
| Amount | € 445,938 (EUR) |
| Funding ID | Contract 727862 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 11/2016 |
| End | 10/2020 |
| Description | H2020 TAPAS |
| Amount | € 6,922,128 (EUR) |
| Funding ID | 678396 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2016 |
| End | 04/2020 |
| Description | IPP |
| Amount | £16,000,000 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2016 |
| End | 11/2019 |
| Description | International Opportunity OSCA |
| Amount | £41,870 (GBP) |
| Funding ID | NE/N006682/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2015 |
| End | 02/2017 |
| Description | International Partnership Programme |
| Amount | £16,000,000 (GBP) |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2017 |
| End | 05/2020 |
| Description | Marine Integrated Autonomous Observing Systems Programme (Project CAMPUS) |
| Amount | £525,000 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 04/2021 |
| Description | Met Office Academic Partnership PDRA |
| Amount | £50,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2022 |
| End | 07/2023 |
| Description | Met Office WCSSP India |
| Amount | £120,191 (GBP) |
| Funding ID | IND21_1.5 WSSP India P109792 |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2021 |
| End | 03/2022 |
| Description | NCEO COSTRUIRE |
| Amount | £17,000 (GBP) |
| Organisation | National Centre for Earth Observation |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2016 |
| End | 03/2016 |
| Description | NERC CASE SCENARIO DTC Studentship |
| Amount | £68,630 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2014 |
| End | 10/2018 |
| Description | NERC SCENARIO DTC Studentship |
| Amount | £66,630 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2014 |
| End | 03/2018 |
| 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 | Newton |
| Amount | £300,000 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2019 |
| 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 | 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 | 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 | Postdoctoral and early career researcher exchanges with Europe, North America, China and India (PECRE) |
| Amount | £3,000 (GBP) |
| Organisation | Scottish Alliance for Geoscience, Environment and Society (SAGES) |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2016 |
| End | 10/2016 |
| Description | SARIC |
| Amount | £950,000 (GBP) |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2016 |
| End | 11/2020 |
| Description | SERVICE EVOLUTION OF THE COPERNICUS MARINE ENVIRONNEMENT MONITORING SERVICE |
| Amount | € 116,000 (EUR) |
| Organisation | Mercator Océan |
| Sector | Private |
| Country | France |
| Start | 03/2015 |
| End | 02/2017 |
| Description | STFC Accelerated Impact |
| Amount | £25,000 (GBP) |
| Organisation | University of Leeds |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 12/2017 |
| End | 03/2018 |
| 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 | TAMASA |
| Amount | £60,000 (GBP) |
| Organisation | Bill and Melinda Gates Foundation |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 09/2015 |
| End | 10/2018 |
| 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 | The Data Lab/GSi |
| Amount | £99,012 (GBP) |
| Funding ID | UoE/GSI/TDL |
| Organisation | Government of Scotland |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2016 |
| End | 03/2017 |
| Description | Virtual Earth System Research Institute (VESRI) of Schmidt Futures foundation |
| Amount | $10,389,555 (USD) |
| Funding ID | H5499300 |
| Organisation | University of Reading |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2021 |
| End | 12/2026 |
| Description | WCSSP India |
| Amount | £191,588 (GBP) |
| Organisation | Meteorological Office UK |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2021 |
| 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 | Biogeochemical ensemble methods within ensemble-NEMOVAR assimilation |
| Description | We developed biogeochemical model (ERSEM) ensembles on the North-West European Shelf (NWES). The ensembles are currently based on ERSEM parameter perturbations, perturbed atmospheric forcing and observation perturbations, with some additional perturbations under development. We have implemented biogeochemical variables into an existing ensemble-NEMOVAR assimilation system. The ensemble-NEMOVAR system has now the capability to assimilate simultaneously both physics and biogeochemistry data and has been validated for temperature-salinity-(ocean color)chlorophyll assimilation on the NWES. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | Improved reanalyses on the NWES, and capability to deliver uncertainty products for NWES physics and biogeochemistry variables. |
| Title | Carbon Data Model Framework - CARDAMOM |
| Description | What is CARDAMOM? CARDAMOM (CARbon DAta MOdel fraMework) is a computer programme that retrieves terrestrial carbon (C) cycle variables by combining C cycle observations with a mass balance model. CARDAMOM produces global dynamic estimates of plant and soil C pools, their exchanges with each other and with the atmosphere, and C cycling variables for processes driving change. A Bayesian method is used to retrieve model parameters that statistically reduce the difference between model outputs and C observations for each model cell. The outcome is a probabilistic assessment of the fluxes, pools and process variables of the C cycle in each cell. Why is it useful? CARDAMOM produces a C cycle analysis consistent with C measurements and climate. It is well suited for using with global-scale satellite observations, for instance aboveground biomass or leaf area index. CARDAMOM produces a confidence interval on all retrieved quantities, so that there is a clear assessment of model-data consistency, and the value of assimilating extra datasets can be quantitatively assessed. Why is it novel? Conventional C cycle estimates rely on prescribed C cycle parameters; CARDAMOM retrieves parameters by combining models with data. The implementation of the CARDAMOM family of C models, (DALEC models), differs from typical model implementations: there is no spin-up for biomass and soil C, and no prescribed plant functional types or C pool steady state. CARDAMOM generates maps of key model parameters as an output, rather than as an input. Rather than being compared to data, the CARDAMOM outputs represent the best fit to all data within each CARDAMOM cell. How does it work? CARDAMOM has several components. First is a C mass balance model, DALEC, that has four vegetation pools and two dead organic matter pools (these pools can be adjusted to test alternate structures). There are around 20 model parameters associated with phenology (plant timing), allocation, residence times, temperature sensitivity and productivity. The second component is a system to arrange and organise spatial data related to forcing (climate, burned area, management) and to observations for assimilation (currently LAI, biomass, soil C). The third component is the Markov Chain Monte Carlo code, that operates on each model grid cell to retrieve model parameter vectors consistent with data. The fourth component is a structure to manage model-data interactions, distribute jobs to parallel computing nodes, retrieve state and process variables from optimized model parameters, and to summarise results for analysis. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | We have generated publications, begun international partnerships, and been invited to speak about our research tool. |
| Title | Multi-platform data assimilation on the North-West European Shelf |
| Description | We developed and validated a method to consistently assimilate glider biogeochemical data into NEMO-FABM-ERSEM model on the NWE Shelf. This method was subsequently extended to multi-platform (glider-satellite) data assimilation. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The plan is to use this method in a future operational system on NWE Shelf in order to assimilate multi-platform biogeochemical data. The results of this work will be available to the wide scientific community through a scientific publication (the relevant paper is currently submitted to journals). |
| Title | 3-hourly 3D atmospheric CO2 fields for 2014-2021 |
| Description | We run the GEOS-Chem simulations at a resolution of 2x2.5. It was forced by posterior fluxes inferred from insitu CO2 observations (GLOBALVIEWPlus v8.0) by using an EnKF approach. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | It has a high resolution of model simulations. It has been shown to in good agreement with independent observations. It can be used to help validate satellite observations etc. |
| URL | http://webs.geos.ed.ac.uk:/~lfeng |
| Title | 3-hourly Model CO2 concentrations for 2009-2017. |
| Description | The model simulation was forced posterior CO2 fluxes, inferred from in-situ surface CO2 data using an Ensemble Kalman Filter. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | It has been used in validation of OCO-2 XCO2 retrievals. |
| URL | http://www.geos.ed.ac.uk:/~lfeng |
| Title | 3D configuration for NEMO-FABM-ERSEM using stand-alone optical module |
| Description | 3D NEMO-FABM-ERSEM model configuration for the AMM7 domain (North West European Shelf) using novel spectrally resolved stand-alone optical module. The optical module uses atmospheric fields (eg ozone, clouds, water vapour) to calculate both spectra and direction (diffuse or direct) of the incoming light into the water column. This information is crucial to improve how the model represents primary production and consequently ecosystem dynamics. The 3D configuration will be used to assimilate optical data (phytoplankton functional type absorption) into the NEMO-FABM-ERSEM model. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Will be used to better simulate ecosystem dynamics on the North-West European (NWE) Shelf. This development will eventually contribute to reanalysis of the ecosystem state on the NWE Shelf. |
| Title | A posteriori ethane emissions from INVICAT |
| Description | This data file contains two sets of optimised global surface fluxes of ethane (C2H6), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. Emissions were produced using an iterative method of optimisation, known as 4D-Var, which minimised the model-observation differences. These are published in: Monks, S. A., Wilson, C., Emmons, L. K., Hannigan, J. W., Helmig, D., Blake, N. J., & Blake, D. R. (2018). Using an inverse model to reconcile differences in simulated and observed global ethane concentrations and trends between 2008 and 2014. Journal of Geophysical Research: Atmospheres, 123, 11,262-11,282. https://doi.org/10.1029/2017JD028112 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 gridcell is also included. The fluxes and uncertainties are global, and cover the period Jan 2008 - Dec 2014. There are two alternative emissions sets, labelled EMIS_ALL and EMIS_ANTH, whilst the uncertainties are labelled ERROR_ALL and ERROR_ANTH, respectively. The two optimised emission estimates are produced through iterative minimisation of model-observation error in INVICAT. In all cases the observations are surface flask samples of ethane produced by by the National Oceanic and Atmospheric Administration's Global Monitoring Division (NOAA GMD) and the University of Colorado's Institute of Arctic and Alpine Research (INSTAAR). Whole air samples in flasks are collected weekly to bi-weekly at each site and C2H6 is measured using gas chromatography with a flame ionization detection method. The EMIS_ALL fluxes are produced through variation of all surface emission types (anthropogenic, biomass burning, oceanic and biospheric), whilst the EMIS_ANTH fluxes are produced by only allowing the surface anthropogenic emissions to vary, with prior estimates of other emission types then added back on. Flux and uncertainty units are kg(C2H6)/m2/s, and time units are days since January 1st 2008. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in the PDF documentation stored along side this data, as well as in Monks et al., 2018. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | N/A |
| URL | http://catalogue.ceda.ac.uk/uuid/9dace73ad8654298aea626b8bde0a782?search_url=%2F%253Fq%253DINVICAT%2... |
| 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 | 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 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 | CH4 fluxes and atmospheric CH4 concentrations |
| Description | We inferred surface CH4 fluxes by assimilating in-situ CH4 observations. We then used a global chemistry transport model (GEOS-Chem) to simulation 3D CH4 concentrations from 2009-2015, forced by the inferred CH4 fluxes. We have also provided the validation of the resulting CH4 concentrations against independent observations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | The database has been used to validate GOSAT XCH4 retrievals. |
| URL | http://xweb.geos.ed.ac.uk:/~lfeng |
| Title | CO2 flux inferred from OCO-2 XCO2 retrievals |
| Description | 2014-2017 surface CO2 fluxes inferred from OCO-2 XCO2 retrievals using an Ensemble Kalman Filter (EnKF). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The data base has been used to study emissions from tropical regions by research groups. |
| URL | http://www.geos.ed.ac.uk:/~lfeng |
| Title | Development of the CARDAMOM framework |
| Description | The CARDAMOM data-assimilation framework is a flexible research tool that uses observational datasets to constrain a model of the terrestrial carbon cycle. It can repeat the procedure from local scale, using field samples, to global scale, using remote-sensing data and climate re-analysis. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2015 |
| Provided To Others? | No |
| Impact | We published a paper in PNAS that present global results and corresponding data are being made available to the community through the Edinburgh DataShare facility. |
| URL | http://datashare.is.ed.ac.uk/handle/10283/864 |
| Title | EMPIRE_ERSEM |
| Description | Assimilation system coupling a number of assimilation algorithms to the marine model GOTM-ERSEM, exploiting the assimilation framework EMPIRE developed by University of Reading/NCEO |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | This assimilation system allows the unprecedented use of novel assimilation algorithms with marine ecosystem models |
| Title | EnKF_ERSEM |
| Description | Data assimilation system, based on the Ensemble Kalman filter, for the assimilation of ocean colour data into ecosystem models of shelf-seas. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | This assimilation system provided the first decadal reanalysis of the biogeochemistry of the North East Atlantic, through assimilation of ocean colour data from ESA's Climate Change Initiative - Ocean Colour |
| Title | GOSAT-optimised global CH4 emissions |
| Description | Monthly mean methane emissions optimised using the INVICAT data assimilation model through assimilation of surface flask observations of methane and two different GOSAT products provided by the university of Leicester (Proxy & Full Physics versions) for the period 2010 - 2014. Also, full global 3D simulated atmospheric concentrations of methane produced using the TOMCAT model and the optimsed surface emissions. These concentrations are provided at 12-hourly temporal resolution. These simulated concentrations match the observed surface growth rate at regional and global scales. |
| Type Of Material | Database/Collection of data |
| Provided To Others? | No |
| Impact | N/A |
| Title | Global GPP simulated by the JULES land surface model for 2001-2010 |
| Description | This study evaluates the ability of the Joint UK Land Environment Simulator (JULES) Land Surface Model (LSM), the land surface scheme of the UK Met Office Unified Model (MetUM), to simulate Gross Primary Productivity (GPP) at regional and global scales for 2001--2010. Model simulations were driven with a variety of meteorological datasets and at various spatial resolutions (0.5x0.5, 1x1, 2x2 degree resolution). The meteorological datasets include: 1. WFDEI-GPCC The WATCH Forcing Data methodology was applied to the ERA-Interim reanalysis data (WFDEI) for the 1979--2012 period (Weedon et al., 2014. https://doi.org/10.1002/2014WR015638 ). WFDEI has two precipitation products, corrected using either CRU (Climate Research Unit at the University of East Anglia) or GPCC (Global Precipitation Climatology Centre) precipitation totals and are referred to as WFDEI-CRU and WFDEI-GPCC, respectively. 2. WFDEI-CRU See above. 3. PRINCETON The PRINCETON dataset is a global 62 year near-surface meteorological dataset used for driving land surface models and was created by Princeton University's Terrestrial Hydrology Group ( http://hydrology.princeton.edu/home.php ) (Sheffield et al., 2006. https://doi.org/10.1175/JCLI3790.1 ). JULES GPP was then compared to spatially gridded estimates of GPP from the upscaling of GPP from the FLUXNET network (FLUXNET-MTE), the MODIS sensor and the CARDAMOM framework. GPP, Gross Primary Productivity, is the total amount of carbon uptake by plants (per unit area in unit time) and used in photosynthesis. All files are in netCDF format. There is metadata in the files. To briefly view information regarding the files, there is software on Linux called ncdump (to read the data and metadata) and ncview (to plot the data without writing computer code). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | This study evaluates the ability of the JULES land surface model (LSM) to simulate photosynthesis using local and global data sets at 12 FLUXNET sites. Model param- eters include site-specific (local) values for each flux tower site and the default parameters used in the Hadley Cen- tre Global Environmental Model (HadGEM) climate model. Firstly, gross primary productivity (GPP) estimates from driving JULES with data derived from local site measure- ments were compared to observations from the FLUXNET network. When using local data, the model is biased with to- tal annual GPP underestimated by 16 % across all sites com- pared to observations. Secondly, GPP estimates from driving JULES with data derived from global parameter and atmo- spheric reanalysis (on scales of 100km or so) were com- pared to FLUXNET observations. It was found that model performance decreases further, with total annual GPP under- estimated by 30 % across all sites compared to observations. When JULES was driven using local parameters and global meteorological data, it was shown that global data could be used in place of FLUXNET data with a 7 % reduction in to- tal annual simulated GPP. Thirdly, the global meteorological data sets, WFDEI and PRINCETON, were compared to local data to find that the WFDEI data set more closely matches the local meteorological measurements (FLUXNET). Finally, the JULES phenology model was tested by comparing results from simulations using the default phenology model to those forced with the remote sensing product MODIS leaf area in- dex (LAI). Forcing the model with daily satellite LAI results in only small improvements in predicted GPP at a small num- ber of sites, compared to using the default phenology model. |
| URL | https://www.geosci-model-dev.net/8/295/2015/gmd-8-295-2015.pdf |
| Title | Global optimised CH4 emissions and optimised 3D CH4 concentrations [optimised with surface data, 2010 - 2014] |
| Description | Monthly mean methane emissions optimised using the INVICAT data assimilation model through assimilation of surface flask observations of methane for the period 2008 - 2014. Also, full global 3D simulated atmospheric concentrations ofm ethane produced using the TOMCAT model and the optimsed surface emissions. These concentrations are provided at 3-hourly temporal resolution. These simulated concentrations match the observed surface growth rate at regional and global scales. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Ongoing work for comparison between optimised model concentrations and GOSAT observations over UK and Europe which is being written up for publication. |
| Title | Global optimised ethane emissions/global optimised atmospheric ethane concentrations [2008 - 2014] |
| Description | Monthly mean ethane emissions optimised using the INVICAT data assimilation model through assimilation of surface flask observations of ethane for the period 2008 - 2014. Also, full global 3D simulated atmospheric concentrations of ethane produced using the TOMCAT model and the optimsed surface emissions. These simulated concentrations match the observed surface growth rate at regional and global scales. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | This data has been provided to other groups for comparison with remote sensing observations of ethane in the UTLS. |
| Title | INVICAT & ATOMCAT |
| Description | ATOMCAT is the adjoint version of the TOMCAT chemical transport model, whilst INVICAT is a 4D-Var inverse model which incorporates TOMCAT and ATOMCAT. It assimilates observations of atmospheric trace gases in order to provide optimised flux estimates. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | This model is currently being used in a number of studies, producing optimised fluxes of methane, carbon dioxide and ethane using both in situ and remote sensing observations. GOSAT and IASI CH4 concentrations are both currently being included in the model. |
| 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 | Methane emissions in 2020 and 2021 inferred by joint OH-methane inversion |
| Description | We assimilate GOSAT XCH4:XCO2 ratio and GLOBALVIEW surface data to infer both the monthly methane surface emission and the scaling factor for OH over 6 latitude bands. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | The results shows the role of emission increase in 2020/2021 atmospheric methane surge |
| URL | http://webs.geos.ed.ac.uk:/~lfeng |
| Title | Model CO2 and CH4 concentrations (2009-2017) |
| Description | We use an Ensemble Kalman filter to infer surface CO2 fluxes by assimilating in-situ observations. We use the resulting posterior CO2 fluxes to force forward model simulation of global CO2 concentrations for 2009-2017. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | This data set has been to validate satellite (GOSAT and OCO-2) XCO2 retrievals. |
| URL | http://xweb.geos.ed.ac.uk/~/lfeng |
| Title | Model CO2 and CH4 concentrations from 2009-2016 |
| Description | The model simulations are forced by posterior fluxes inferred from GOSAT proxy XCH4/XCO2 ratios (University of Leicester), together with in-situ CO2 and CH4 observations. The resulting model concentrations are shown to be in good agreement with in-dependent observations. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | The results have been used in validation of OCO-2 XCO2 retrievals. |
| Title | NEMOVAR capacity to assimilate PFT absorption for different wavelengths |
| Description | Extension of the observation operator and balancing code to handle 24 (6 wavelengths times 4 Phytoplankton Functional Types) new variables. The code translates PFT absorption increments into increments of the PFT components (ERSEM state variables) based on background ratios. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | 2016 1 year reanalyses for PFT absorption and biogeochemistry on the NWE Shelf. |
| 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 | 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 | Reanalysis of the biogeochemistry of the North East Atlantic |
| Description | This is the output of the reanalysis of the biogeochemistry of the North East Atlantic in the years 1998-2014 carried out by means of the assimilation system EnKF_ERSEM The data base is described in Ciavatta et al., 2016, Journal of Geophysical Research, DOI: 10.1002/2015JC011496 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | The database has been used as input to an aquaculture model in the framework of the NERC project ROSA; The output has been used at NOC for comparison/interpretation of ocean observations of physical and biogeochemical variables from buoys and gliders; The database is in use by a student of the University of Southampton for his bachelor project |
| URL | http://portal.ecosystem-modelling.pml.ac.uk |
| 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 | Reliability Ensemble Averaging of ISIMIP NPP projections for 2095-2099 under RCP8.5 |
| Description | These data corresponds to the results described in a paper published in Earth System Dynamics (Exbrayat et al., 2018). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | This work has been made possible by new collaboration with researchers at the UK Met Office and the Japanese National Institute for Environmental Studies. |
| Title | Single column model and assimilation system |
| Description | A single column atmosphere-ocean model and data assimilation system has been built, based on a column version of the ECMWF IFS atmosphere model and a mixed layer ocean model. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | This tool has allowed the study of different approaches to the coupled data assimilation problem that cannot easily be compared in full size model. The research by our group has been published (Smith et. al 2015) and has been cited by the Met Office in support of their future directions in this area (doi:10.1175/MWR-D-15-0174.1) |
| Title | Soil Moisture data for Africa using Data Assimilation |
| Description | These data are produced by integrating NASA SMAP data with the JULES land surface model to provide optimal estimates of soil moisture. The JULES model is also forced using TAMSAT rainfall estimates, so the soil moisture data is consistent with those data (in a mass balance sense). Currently we are providing 0.25 degree data on a daily basis, updated every 5-6 days, back to 1999. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | None so far, but we expect that to develop in the next year or two. |
| URL | http://gws-access.jasmin.ac.uk/public/odanceo/soil_moisture/ |
| Title | TOMCAT/SLIMCAT 3D Model |
| Description | Detailed 3-D model of atmospheric chemistry and aerosols. The model was initially developed around 20 years ago, but multiple projects have led to further developing and testing of specific routines and parameterisations. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | Yes |
| Impact | Many peer-reviewed publications. See website. |
| URL | http://www.see.leeds.ac.uk/tomcat |
| Title | Terrestrial carbon cycle reanalyses, 2000-2010 |
| Description | The Carbon Data Model Framework generates robust estimates of terrestrial C cycling based on satellite observations, soil maps, climate data and a process model of C cycling. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | These data are associated with a high impact publication, and provide consistent C cycle estimates with errors across the globe. |
| URL | http://datashare.is.ed.ac.uk/handle/10283/875 |
| Title | VAREC: a matlab package for Variational data assimilation for the DALEC model. |
| Description | This package explores different aspects of variational methods for inverse modelling for a simple carbon cycle model. It provides code and data for the manuscript "Constraining DALEC (v2) using multiple data streams and ecological constraints: analysis and application" submitted to Geoscientific Model Development. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | The methodology described in the companion paper "Constraining DALEC v2 using multiple data streams and ecological constraints: analysis and application" have been applied to NDVI retrieval for a project in collaboration with the National Physics Laboratory. Further research is carried out to extend some of these tools for ensemble methods. |
| URL | https://zenodo.org/record/269937 |
| Title | surface CO2 fluxes and CO2 concentrations |
| Description | We infer surface CO2 fluxes by assimilating in-situ CO2 observations by using an Ensemble Kalman Filter for 7 years from 2009-2015. We then use the resulting surface fluxes to force a global chemistry transport model (GEOS-Chem) to simulate 3D atmospheric CO2 concentrations. We have also included validation of the resulting CO2 concentrations against independent observations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2013 |
| Provided To Others? | Yes |
| Impact | In the past this database has been used in validating GOSAT XCO2 and proxy XCH4 restrievals. Also, it has now been used in validating OCO-2 XCO2 retrievals. |
| URL | http://xweb.geos.ed.ac.uk/~lfeng |
| Description | AWI |
| Organisation | Alfred-Wegener Institute for Polar and Marine Research |
| Country | Germany |
| Sector | Private |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input |
| Collaborator Contribution | Access to Facilities / Resources;Staff Time / Expertise; Operational experience |
| Impact | Exchange of expertise |
| Start Year | 2014 |
| Description | Alison Ramage |
| Organisation | University of Strathclyde |
| Department | Department of Mathematics and Statistics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Experience in data assimilation |
| Collaborator Contribution | Experience in numerical methods |
| Impact | No ouputs so far |
| Start Year | 2017 |
| 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 | Bremen |
| Organisation | University of Bremen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input Joint supervision of PhD |
| Collaborator Contribution | Resources; Staff Time / Mathematical Expertise; Academic Input Joint supervision of PhD |
| Impact | PhD Thesis |
| Start Year | 2014 |
| 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 | Canada |
| Organisation | University of Quebec at Montreal |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input |
| Collaborator Contribution | Resources; Staff Time / Scientific Expertise; Academic Input |
| Impact | Exchange of expertise; seminar presentations |
| Start Year | 2015 |
| 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 | Climate model with spatially varying parameters |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provided modified climate model parameters based on work in the Ergodics project |
| Collaborator Contribution | Dr Simon Wilson of Met Office and NCAS made modifications to the HadCM3 climate model code to allow the Convective entrainment parameter to be spatilly varying according to a field we have provided. It took several rounds of testing to ensure the code was working ~ 2 weeks work |
| Impact | One or two paper will be written on the results from the new code |
| Start Year | 2016 |
| Description | DA and ML for sea ice |
| Organisation | National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) |
| Department | Centre National de la Recherche Scientifique Grenoble |
| Country | France |
| Sector | Public |
| PI Contribution | Collaboration within the project SASIP to develop parametrization based on data assimilation and machine learning for sea ice models. |
| Collaborator Contribution | They provide expertise with the sea ice model |
| Impact | Just commenced: nothing to report yet |
| Start Year | 2021 |
| Description | DA and ML for sea ice |
| Organisation | National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) |
| Department | Centre National de la Recherche Scientifique Grenoble |
| Country | France |
| Sector | Public |
| PI Contribution | Collaboration within the project SASIP to develop parametrization based on data assimilation and machine learning for sea ice models. |
| Collaborator Contribution | They provide expertise with the sea ice model |
| Impact | Just commenced: nothing to report yet |
| Start Year | 2021 |
| Description | DWD |
| Organisation | German Weather Service |
| Country | Germany |
| Sector | Public |
| PI Contribution | Provision of theoretical results, analytical skills and computer code. Analysis of data. Publication of results |
| Collaborator Contribution | Provision of data for analysis. Discussion and assistance with publication. |
| Impact | Paper in preparation for journal submission. Expected improvement in assimilation of radar data in the DWD weather forecasting system. Disciplines involved are mathematics, computation, meteorology. |
| Start Year | 2016 |
| Description | Data assimilation and machine learning |
| Organisation | Nansen Environmental and Remote Sensing Center |
| Country | Norway |
| Sector | Charity/Non Profit |
| PI Contribution | We are working together to the development of hybrid data assimilation and machine learning methods. |
| Collaborator Contribution | Theoretical contribution to frame the problem in a Bayesian fashion. |
| Impact | One published scientific papers and two currently under review. |
| Start Year | 2018 |
| Description | Data assimilation and machine learning |
| Organisation | École des ponts ParisTech |
| Country | France |
| Sector | Academic/University |
| PI Contribution | We are working together to the development of hybrid data assimilation and machine learning methods. |
| Collaborator Contribution | Theoretical contribution to frame the problem in a Bayesian fashion. |
| Impact | One published scientific papers and two currently under review. |
| Start Year | 2018 |
| Description | Data assimilation for flood forecasting |
| Organisation | Luxembourg Institute of Science and Technology |
| Country | Luxembourg |
| Sector | Academic/University |
| PI Contribution | Expertise on the use of particle filters and ensemble filters for data assimilation |
| Collaborator Contribution | Expertise on flood modelling and data bases |
| Impact | None yet. Multidisciplinary : mathematics & statistics, numerical fluid modelling, data assimilation, filters, computational fluid dynamics |
| Start Year | 2018 |
| Description | ECMWF |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Research collaboration: Staff Time / Scientific Expertise; Academic Input |
| Collaborator Contribution | Research collaboration: Staff Time / Scientific Expertise; Operational experience |
| Impact | Exchange of ideas |
| Start Year | 2014 |
| Description | ECMWF coupled DA |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Presentation of project results at informal project meetings. |
| Collaborator Contribution | Provision of single column atmosphere and ocean code for use in our project. Initial support to get the code running. |
| Impact | 4 publications. |
| Start Year | 2012 |
| Description | ECMWF model error |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | A method to estimate model error statistics was developed by my research team in the context of simple models. In this collaboration we took data from ECMWF and began applying the same method to this real data. Work is still ongoing. |
| Collaborator Contribution | ECMWF provided data on which to test the methods. |
| Impact | Work still ongoing - no outcomes so far. |
| Start Year | 2016 |
| Description | Forest Research |
| Organisation | Forest Research |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Resources; Staff Time / Expertise; Academic Input Joint supervision of PhD Funding for PhD |
| Collaborator Contribution | Access to Facilities / Resources;Staff Time / Expertise; Experimental techniques Joint supervision of PhD NERC CASE Funding |
| Impact | Journal papers, jonference papers; public outreach; PhD in progress |
| Start Year | 2012 |
| 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 | Grenoble |
| Organisation | Joseph Fourier University |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input |
| Collaborator Contribution | Resources; Staff Time / Scientific Expertise; Academic Input |
| Impact | Habilitations awarded in France; PhD from France employed in Reading. Seminars presented in France and in Reading.. |
| Start Year | 2012 |
| Description | IC3 |
| Organisation | Catalan Institute of Climate Sciences (IC3) |
| Country | Spain |
| Sector | Charity/Non Profit |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input Joint supervision of PhD |
| Collaborator Contribution | Access to Facilities / Resources; Staff Time / Expertise; Operational experience Joint supervision of PhD |
| Impact | PhD Thesis; Journal papers; Conference presentations |
| Start Year | 2012 |
| Description | Lecce |
| Organisation | University of Salento |
| Department | Department of Mathematics and Physics |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Mathematical expertise on data assimilation and inverse problems. |
| Collaborator Contribution | Mathematical expertise on morphochemical modelling. Experimental data on pattern formation. |
| Impact | One publication. Multidisciplinary - Mathematics and engineering/ electrochemical material science |
| Start Year | 2014 |
| 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 |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Resources;Staff Time / Expertise; Academic Input Joint supervision of PDRA Joint supervision of MSc |
| Collaborator Contribution | Access to Facilities / Resources;Staff Time / Expertise; Operational experience Joint supervision of PDRA Joint supervision of MSc |
| Impact | Journal papers; Conference presentations; Changes/improvements to the Met Office data assimilation systems |
| Description | Met Office coupled DA |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Visits to Met Office to present results from project. |
| Collaborator Contribution | Met Office provided staff time to comment on results and proposed experiments. |
| Impact | 4 publications. Further grant application for funding |
| Start Year | 2012 |
| Description | NCEO studentship with PML on Bio-Argo and ocean carbon cycle |
| Organisation | Plymouth Marine Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Supervising PhD student Liza Ross. Meetings weekly in person or by skype Jointly supervised by Giorgio Da'lomo from PML PhD successfully passed 2023! |
| Collaborator Contribution | PML hosts student most of time. Cruise data analysed in particle analyser at PML |
| Impact | Excellent set of new measurements of particulate carbon from AMT24 cruise A paper is in Review The student has resubmitted thesis for PhD 2022 Now successfully passed |
| Start Year | 2014 |
| Description | NEMOVAR for Ocean Reanalysis |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaboration to Port NEMOVAR code to Monsoon and then Archer allowing operational ocean assimilation code to be used by academic community |
| Collaborator Contribution | Part time support over period of ~9 months for code porting and testing |
| Impact | NEMOVAR now working on Monsoon and Archer |
| Start Year | 2014 |
| Description | NEMOVAR for Ocean Reanalysis |
| Organisation | National Centre for Atmospheric Science (NCAS) |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Collaboration to Port NEMOVAR code to Monsoon and then Archer allowing operational ocean assimilation code to be used by academic community |
| Collaborator Contribution | Part time support over period of ~9 months for code porting and testing |
| Impact | NEMOVAR now working on Monsoon and Archer |
| Start Year | 2014 |
| Description | NRL |
| Organisation | United States Naval Research Laboratory |
| Country | United States |
| Sector | Public |
| PI Contribution | Resources;Staff Time / Expertise;Academic Input |
| Collaborator Contribution | Access to Facilities / Resources;Staff Time/ Expertise in operational assimilation |
| Impact | New research results; Journal publication, conference presentations |
| Start Year | 2006 |
| Description | National Partnership for Ocean Prediction (NPOP). |
| Organisation | Centre For Environment, Fisheries And Aquaculture Science |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Launched in April 2107, The mission of the partnership is to develop and promote marine products and services, with a focus on national and public benefit. It member are PML, NOC, Cefas and UKMO. NPOP focuses on the integration of models, observations and scientific understanding, and how these can be used to produce good quality information and advice about the marine environment. The partnership itself does not provide services, but facilitates the partners to develop these services, and helps them to be used as widely as possible and to the best effect. PML works with the partnership to provide ecosystem models for the NW European shelf operational forecast system and with UKMO to further develop operational data assimilation. This is managed through a join position between to 2 organisations. |
| Collaborator Contribution | Setting priorities for research and observation collection is key to the success of ocean prediction services. The National Partnership of Ocean Prediction has an important role in understanding and defining these priorities. Our activity groups provide the fora in which the work of the research community can be coordinated, to ensure we work in a complimentary way to maximise the impact of our research and services. They are also the route through which we can understand where the gaps in understanding, tools or observations lie. This informs our own priorities, as well as providing appropriate guidance for the observations community and others. The partnership provides a means of engaging with users so that they have a good understanding of the services we provide, and we have a good understanding of how we need to develop our services to meet their needs. As a partnership we look for funding to underpin the work needed to develop the services, and have a stronger, more coherent, voice than we do as individual groups. |
| Impact | Annual science, meeting. development of a strategy for ocean forecasting. |
| Start Year | 2016 |
| Description | National Partnership for Ocean Prediction (NPOP). |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Launched in April 2107, The mission of the partnership is to develop and promote marine products and services, with a focus on national and public benefit. It member are PML, NOC, Cefas and UKMO. NPOP focuses on the integration of models, observations and scientific understanding, and how these can be used to produce good quality information and advice about the marine environment. The partnership itself does not provide services, but facilitates the partners to develop these services, and helps them to be used as widely as possible and to the best effect. PML works with the partnership to provide ecosystem models for the NW European shelf operational forecast system and with UKMO to further develop operational data assimilation. This is managed through a join position between to 2 organisations. |
| Collaborator Contribution | Setting priorities for research and observation collection is key to the success of ocean prediction services. The National Partnership of Ocean Prediction has an important role in understanding and defining these priorities. Our activity groups provide the fora in which the work of the research community can be coordinated, to ensure we work in a complimentary way to maximise the impact of our research and services. They are also the route through which we can understand where the gaps in understanding, tools or observations lie. This informs our own priorities, as well as providing appropriate guidance for the observations community and others. The partnership provides a means of engaging with users so that they have a good understanding of the services we provide, and we have a good understanding of how we need to develop our services to meet their needs. As a partnership we look for funding to underpin the work needed to develop the services, and have a stronger, more coherent, voice than we do as individual groups. |
| Impact | Annual science, meeting. development of a strategy for ocean forecasting. |
| Start Year | 2016 |
| Description | National Partnership for Ocean Prediction (NPOP). |
| Organisation | National Oceanography Centre |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Launched in April 2107, The mission of the partnership is to develop and promote marine products and services, with a focus on national and public benefit. It member are PML, NOC, Cefas and UKMO. NPOP focuses on the integration of models, observations and scientific understanding, and how these can be used to produce good quality information and advice about the marine environment. The partnership itself does not provide services, but facilitates the partners to develop these services, and helps them to be used as widely as possible and to the best effect. PML works with the partnership to provide ecosystem models for the NW European shelf operational forecast system and with UKMO to further develop operational data assimilation. This is managed through a join position between to 2 organisations. |
| Collaborator Contribution | Setting priorities for research and observation collection is key to the success of ocean prediction services. The National Partnership of Ocean Prediction has an important role in understanding and defining these priorities. Our activity groups provide the fora in which the work of the research community can be coordinated, to ensure we work in a complimentary way to maximise the impact of our research and services. They are also the route through which we can understand where the gaps in understanding, tools or observations lie. This informs our own priorities, as well as providing appropriate guidance for the observations community and others. The partnership provides a means of engaging with users so that they have a good understanding of the services we provide, and we have a good understanding of how we need to develop our services to meet their needs. As a partnership we look for funding to underpin the work needed to develop the services, and have a stronger, more coherent, voice than we do as individual groups. |
| Impact | Annual science, meeting. development of a strategy for ocean forecasting. |
| Start Year | 2016 |
| Description | New numerical methods for data assimilation |
| Organisation | University of Strathclyde |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Expertise on variational data assimilation |
| Collaborator Contribution | Expertise on multi-level numerical methods for solving linear systems |
| Impact | Presentations at international conferences. Multi-disciplinary: meteorology and mathematics |
| Start Year | 2017 |
| 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 | Ocean Reanalysis Intercomparison Project |
| Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Contributions to several papers assessing different aspects of ocean reanalyses CoChaired and co-organised internaitonal meetings on this topic Support for EU COST project bid (successful and starting 2015) (Haines now Vice-chair) |
| Collaborator Contribution | Contributions to several papers assessing different aspects of ocean reanalyses |
| Impact | Clivar Exchanges Issue 64. http://www.clivar.org/sites/default/files/documents/Exchanges64.pdf |
| Start Year | 2009 |
| Description | Ocean Reanalysis Intercomparison Project |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contributions to several papers assessing different aspects of ocean reanalyses CoChaired and co-organised internaitonal meetings on this topic Support for EU COST project bid (successful and starting 2015) (Haines now Vice-chair) |
| Collaborator Contribution | Contributions to several papers assessing different aspects of ocean reanalyses |
| Impact | Clivar Exchanges Issue 64. http://www.clivar.org/sites/default/files/documents/Exchanges64.pdf |
| Start Year | 2009 |
| Description | RIKEN |
| Organisation | RIKEN |
| Department | RIKEN- Advanced Institute for Computational Science |
| Country | Japan |
| Sector | Public |
| PI Contribution | Support for exchange of visits, contribution to organization of international conference, exchange of ideas |
| Collaborator Contribution | Exchange of ideas, support for visit and attendance at international conference in Japan, exchange of expertise |
| Impact | Conference presentations - online; Computer science, mathematics, meteorology |
| Start Year | 2014 |
| Description | Representation Error |
| Organisation | Ludwig Maximilian University of Munich (LMU Munich) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Theoretical analysis and publication contribution |
| Collaborator Contribution | Exchange visits and publicaton |
| Impact | Publication. Mathematics and meteorology |
| Start Year | 2014 |
| Description | Royal Met Soc - DA SIG |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I am member of the Organizing Committee of the Special Interest Group of the Royal Meteorological Society |
| Collaborator Contribution | I brought unique expertise on ocean biogeochemical data assimilation within the workshops organized by this SIG |
| Impact | Workshops and discussions on the advancement of data assimilation. |
| Start Year | 2015 |
| Description | Royal Met Soc - DA SIG |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I am member of the Organizing Committee of the Special Interest Group of the Royal Meteorological Society |
| Collaborator Contribution | I brought unique expertise on ocean biogeochemical data assimilation within the workshops organized by this SIG |
| Impact | Workshops and discussions on the advancement of data assimilation. |
| Start Year | 2015 |
| 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 |
| 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 | Super-modelling |
| Organisation | University of Bergen |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | Co-advising a PhD student (defence expected by 2020) on the construction of super models, where individual imperfect models are dynamically coupled together. |
| Collaborator Contribution | The student is based at UIB and works actively on the training of super model |
| Impact | One paper in preparation and the PhD thesis |
| Start Year | 2018 |
| Description | Surrey |
| Organisation | University of Surrey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Resources; Staff Time / Scientific Expertise; Academic Input Joint supervision of PDRA Joint supervision of PhD Funding for PhD |
| Collaborator Contribution | Resources; Staff Time / Scientific Expertise; Academic Input Joint supervision of PDRA Funding for PDRA Joint supervision of PhD |
| Impact | Conference papers; purblished preprints/reports |
| Start Year | 2013 |
| Description | Svetlana |
| Organisation | Netherlands Organisation for Scientific Research (NWO) |
| Department | National Research Institute for Mathematics and Computer Science |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Experience in variational methods of data assimilation |
| Collaborator Contribution | Experience in shadowing techniques |
| Impact | No outputs currently, as collaboration started only recently |
| Start Year | 2018 |
| 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 |
| Title | BayesLC |
| Description | Allows statistical sampling of uncertainty in satellite derived land cover data. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Open Source License? | Yes |
| Impact | Enabled paper published in 2016: http://www.mdpi.com/2072-4292/8/4/314 |
| URL | https://github.com/tquaife/bayesLC |
| Title | EMPIRE |
| Description | EMPIRE is a data-assimilation software package that contains state-of-the-art ensemble data-assimilation methods and that can be combined very easily with any numerical model via MPI. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Open Source License? | Yes |
| Impact | The user group of EMPIRE grows rapidly. |
| URL | http://www.met.reading.ac.uk/~darc/empire/doc/html/methods.html |
| Title | Single-column coupled atmosphere-ocean assimilation system |
| Description | Starting from model code developed by ECMWF, we have developed a variational data assimilation system for a single-column coupled atmosphere-ocean model. This includes strongly and weakly coupled assimilation systems, plus the ability to calculate covariance information from ensembles. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | This software has been used in the group to allow fundamental research on coupled atmosphere-ocean data assimilation. This research has been communicated to operational users through conference presentations and peer-reviewed papers, and results are being taken account of in their systems. |
| Title | pySellersTwoStream |
| Description | A python implementation of the Sellers two-stream radiative transfer model that can faithfully mimic the set-up of major land surface models (JULES, CLM, etc) as well as providing general solutions to leaf angle distribution, clumping and up/down scatter. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Open Source License? | Yes |
| Impact | Has contributed to an update of the canopy radiative transfer scheme in JULES. |
| URL | https://github.com/tquaife/pySellersTwoStream |
| 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 | 3rd Carbon from Space Workshop Exeter Jan 2016 |
| 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 | To explore mechanisms for implementation of the CEOS and GEO recommendations, in collaboration with the Global Carbon Project, the European Space Agency (ESA) is convening the 3rd Carbon form Space workshop bringing together the EO, climate and Earth system science communities addressing the carbon cycle to define a concrete work plan of research and development activities to guide ESA and other space agencies and institutions to respond to the requirements for observations and their exploitation in the time frame 2017-2021. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.copernicus.eu/events/3rd-carbon-space-workshop |
| Description | Blog entry on DARE data assimilation 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 | Two blog entries concerning data assimilation |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://blogs.reading.ac.uk/dare/blog/ |
| Description | CLIVAR CONCEPT-Heat Earth Energy Budget Workshop |
| 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 | This is a special focus group of CLIVAR tasked with developing improved results for quantifying the earth energy imbalance over coming few years. Haines is on steering team |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.clivar.org/news/successful-concept-heat-workshop |
| Description | Co-charing the session of the Copernicus Marine Enviornment Monitoring Service (CMEMS) at EGU General Assembly 2017 |
| 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 | This session was very important because it was presenting a selection of works carried out within the EU CMEMS activities, focusing on studies on: • scientific advances on thematics relevant to CMEMS (e.g. on physical and biogeochemical modeling, coupling with coastal systems; coupling with sea-ice, atmosphere & waves models; data assimilation both for physics and biogeochemistry; impact of existing and future in situ and satellite observations for estimates of the ocean state; processing and analysis of remote and in-situ observations of the ocean) that are needed for the short to long term evolution of the CMEMS products. • verification, validation and uncertainty estimates of CMEMS products, forecasting skills, • the use of CMEMS products for downstream applications, • ocean monitoring and on the long-term assessment of the ocean physical and biogeochemical states. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://meetingorganizer.copernicus.org/EGU2017/orals/24345 |
| Description | Co-charing the session of the Copernicus Marine Enviornment Monitoring Service (CMEMS) at EGU General Assembly 2018 |
| 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 | The session provided scientific basis and ideas to define the future development of operational oceanography. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://meetingorganizer.copernicus.org/EGU2018/session/26768 |
| Description | DEFRA Earth Observation Showcase Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Around 170 people from Defra, Government, industry and academia participated in an Earth Observation and Open Data Showcase on 2nd February 2016 hosted by The Department for Environment, Food and Rural Affairs (Defra), in partnership with the UK Space Agency, Space for Smarter Government Programme (SSGP), the Knowledge Transfer Network (KTN), the National Centre for Earth Observation (NERC), and the Satellite Applications Catapult. With 10 exhibitors and 16 different seminar sessions running throughout the day. The event was designed to encourage the Earth observation community to explore how to exploit available data to help deliver better outcomes for the Defra Group and the rural community. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Demonstrating UKESM stand at Royal Society Summer Science Festival |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | "The Summer Science Exhibition is an annual display of the most cutting-edge science and technology in the UK. This free, week-long festival features 22 exhibits and a series of inspiring talks and activities for all ages. Meet the scientists, discover the exciting research and technology they work on and have fun with great hands-on activities. The exhibition is suitable for all ages, entry is free, no advance registration required. School groups need to register in advance, visit our schools and colleges page for more information." We represented the UKESM group, displaying the 'pufferfish' globe, a quiz and an information stand. The turnover with the public was very high, so there were many opportunities to engage with different groups, many of whom had incisive questions regarding the Earth's climate system. The globe visualisations and quiz in particular sparked a lot of debate with the public, and provided a platform to inform them and correct any misconceptions surrounding climate change and the environment. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://royalsociety.org/science-events-and-lectures/2018/summer-science-exhibition/ |
| Description | ECMWF Working Group Chair |
| 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 | Working group on Weather and Climate |
| Year(s) Of Engagement Activity | 2020 |
| Description | EGU 2016 |
| 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 contributed one oral and one poster presentation at the European Geosciences Union 2016. I was also co-convener of session Developments in terrestrial biogeochemical models using model-data integration. |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://meetingorganizer.copernicus.org/EGU2016/session/21880 |
| Description | EGU2018 |
| 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 | Participation to EGU 2018 in Vienna with a talk, a poster and organization of a session |
| Year(s) Of Engagement Activity | 2018 |
| Description | ESA CCI-OC at the "Sentinel-3 for Science Workshop" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dissemination of novel approaches to value Earth Observation from satellite platform to better simulate and manage marine ecosystems |
| Year(s) Of Engagement Activity | 2015 |
| 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 Correlated Observation Workshop - organizer NK Nichols |
| 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 | Prof N K Nichols together with Drs Sarah Dance and Joanne Waller, organized an International Workshop on Correlated Observation Errors in Data Assimilation, funded by the European Space Agency (ESA) at the University of Reading - attended by 75 people from all over the world, including Japan, USA, Germany, France, Canada and Belgium as well as the UK |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://www.rmets.org/workshop-correlated-observation-errors |
| Description | EU COST program Evaluating Ocean Syntheses |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Haines is Vice Chair of this COST project and Valdivieso is a Workpackage leader. Project is in 2nd year (runs for 4 years) running workshops and training programs as well as short term science visits, especially for early career scientists. |
| Year(s) Of Engagement Activity | 2015,2016 |
| URL | http://eos-cost.eu |
| Description | European Conference on Tropical Ecology |
| 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 | Participation to the 2018 European Conference on Tropical Ecology with two talks (incl. one solicited) |
| Year(s) Of Engagement Activity | 2018 |
| Description | Event manager for the Planet Earth theme of the Pint of Science festival in Edinburgh (May 2017) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | My task as event manager was to find a venue (ie a pub) and invite speakers to engage the public with talks about Planet Earth in a broad sense. Beyond talks, the three evenings involved activities like public quizzes I hosted, and social media activities to publicise the even on platforms such as Facebook and Twitter. The events were run in an informal atmosphere and we managed to sell all tickets to entertain 40 people each of the three nights. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://www.pintofscience.co.uk |
| Description | GODAE MEOPAR/ GOV Marine Ecosystem Analysis and Prediction Workshop", Dalhousie University, Halifax, Canada, 23-24 June 2015 |
| 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 | Oral presentation on the advantages of data assimilation for marine ecosystem understanding and management. |
| Year(s) Of Engagement Activity | 2015 |
| 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 | International Liege Colloquium on Marine Environmental Monitoring, Modelling and Prediction |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Dissemination of novel methodological approaches and understanding of marine ecosystem health and functioning |
| Year(s) Of Engagement Activity | 2015 |
| Description | Invited participation to the IOCCG Modelling Working Group Workshop, Honolulu, Hawaii, 26th February 2017 |
| 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 | This was a workshop of the International Ocean-Colour Coordinating Group (IOCCG) aimed to the discussion of the state of the art in ocean colour application in marine ecosystem modelling and to preparation of the next report of the IOCCG series. I was invited to provide my expert contribution to the discussion and report on ocean colour data assimilation. The report is expected to provide guidance on the best practices in using earth observations of ocean colour with marine ecosystem models. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.sgmeet.com/aslo/honolulu2017/meetings.asp |
| 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 (via teleconference) to the US National Oceanic and Atmospheric Administration (NOAA) Ocean Color Coordinating Group (NOCCG) |
| 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 | I was invited to talk about my ocean-colour data assimilation work to the NOCCG is a NOAA organization founded in 2011 by Dr. Paul DiGiacomo, Chief of the Satellite Oceanography and Climatology Division at NOAA/NESDIS/STAR. The purpose of the NOCCG is to keep members up to date about developments for satellite ocean color. They have representatives from all the NOAA line offices, including National Marine Fisheries Service, Office of Oceanic and Atmospheric Research, National Ocean Service, National Weather Service and from several levels of the National Environmental and Satellite Data and Information Service. |
| Year(s) Of Engagement Activity | 2018 |
| 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 ASLO 2017 Annual Meeting, Honolulu, Hawaii, February 26th until March 3rd 2017 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | My invited presentation was the opening talk of the session "Toward greater synthesis: ocean color imagery and biogeochemical/ecosystem numerical modeling", organised by the International Ocean-Colour Coordinating Group (IOCCG). IOCCG promotes the application of remotely-sensed ocean-colour data through coordination, training, liaison between providers (space agencies) and users (scientists), advocacy and provision of expert advice. The IOCCG also has a strong interest in capacity building, and conducts and sponsors advanced ocean colour training courses in various countries around the world. The IOCCG is an Affiliated Programme of the Scientific Committee on Oceanic Research (SCOR) and an Associate Member of CEOS. The activities of the IOCCG are supported by national Space Agencies and other organisations, and upon infrastructure support from SCOR and the Bedford Institute of Oceanography (Department of Fisheries and Oceans, Canada) where the IOCCG Project Office is hosted. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.sgmeet.com/aslo/honolulu2017/viewabstract.asp?AbstractID=28949 |
| 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 | Invited talk at the EPSRC Excalibur workshop |
| 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 | Uncertainty Quantification (UQ) includes the propagation of uncertainty from inputs to outputs through simulators, as well as inverse problems resulting from the calibration of models against observations. One key tool is building emulators (surrogate statistical models) to replace computationally expensive simulators. Data assimilation (DA) synergizes computer simulations and real-world data, e.g. from weather prediction to hazard modelling, urban analytics and biological science, with observations used to update simulations in real time. With the interaction between forward simulations and information-driven methods, techniques for UQ and DA are specifically challenged by the scale of problems that exascale computing will enable. Developing efficient UQ and DA algorithms will also be a major challenge, with close collaborations between RSEs and researchers necessary. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://excalibur-sle.github.io/workshop2.html |
| Description | Invited talk at the Metcator Ocean Interantional 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 | This workshop aimed to shape the strategy for the future development of marine data assimilation for operational oceanography and research in Europe and beyond. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk on ocean colour data assimilation at ASLO Conference 2017, Hawaii |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This was an invited talk |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.sgmeet.com/aslo/honolulu2017/viewabstract.asp?abstractid=28949 |
| Description | MOOC - Dare to discover Data Assimilation |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | We developed a Massive Open Online Course (MOOC), explaining the topic of data assimilation, without any prerequisite requirements for technical knowledge. To date over 300 people have participated in the course. Participants have gained a greater understanding of the topic, the state of the art in research as well as the benefits and caveats associated with reanalyses. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://discoverda.org/ |
| Description | NCEO Annual Science Meeting Southampton |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of modelling and data assimilation results concerning the understanding and management of shelf-sea ecosystems |
| Year(s) Of Engagement Activity | 2015 |
| Description | NCEO conf talk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Title: Adjoint-free variational method for site based carbon cycle inverse problems |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.nceo.ac.uk/article/nceo-ceoi-earth-observation-conference/ |
| Description | NCEO conference poster presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation at the NCEO annual conference to publicise personal research. This resulted in conversations and new relationships with scientists relevant to the field as well as future potential collaborations. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.nceo.ac.uk/article/national-earth-observation-conference-2018/ |
| Description | NCOF working group on data assimilation |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Working group on data assimilation of the National Centre for Ocean Forecasting. This involved discussions with practioners (especially Met Office) about how our research results could help them to interpret their own results in a full atmosphere-ocean model and how our results could guide their developments. |
| Year(s) Of Engagement Activity | 2014,2015,2016 |
| Description | NERC Into the Blue. Liverpool. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | Nerc Into the Blue Liverpool. (4-7 October 2016) The RSS Discovery visited Liverpool and was open to the public for some days. We did activities for the public. In particular, I represented NCEO and illustrated the remote sensing of satellites. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://intotheblue.nerc.ac.uk/liverpool/ |
| Description | NERC Into the Blue. Manchester. |
| 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 | NERC Into the Blue, Manchester 25-29 October 2016 "Into the blue will bring alive the world of environmental science and research by immersing visitors in a hands-on science exhibition at the Runway Visitor Park - external link at Manchester Airport. Enter into a world of science, find out about the sea and the sky, and experience the best of the UK's environmental science research and the cutting-edge technology that is used to measure and monitor our environment." I was part of the NCEO stand, and I demonstrated some remote sensing techniques to the public. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://intotheblue.nerc.ac.uk/manchester/ |
| Description | NERC Training Course on DA |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Provided Training course for NERC Postgraduate students on Data Assimilation and Visualization in Environmental Sciences with lecturers from the Data Assimilation Research Centre at the University of Reading |
| Year(s) Of Engagement Activity | 2008,2014 |
| Description | NRL Atmospheric Assimilation and ONR Code 31 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 | Reommendations to US Naval Research Laboratory for activities with Universities |
| Year(s) Of Engagement Activity | 2020 |
| Description | NRL_ Workshop speaker |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Plans for collaboration between academic and government agency |
| Year(s) Of Engagement Activity | 2020 |
| Description | National EO conference 2018 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Participation to national EO conference with one chaired session, one poster, and two talks |
| Year(s) Of Engagement Activity | 2018 |
| Description | National Oceanography Centre Open Day 2018 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | The National Oceanography Centre in Southampton opens its door to the general public once a year for a free day of learning activities including a mix of hands on science, exhibits and talks, with content aimed at all age groups. Several hundred families and individuals visited the NCEO demonstrations including hands-on experience of using an infra-red camera. NCEO demonstrators (Javier Amezcua, Natalie Douglas and Rowan Hargreaves) had countless opportunities to discuss NCEO activities and personal research with a wider public audience. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://noc.ac.uk/news/noc-southampton-open-day-2018 |
| Description | Open Day at the National Oceanography Centre |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | I represented NCEO in the Open Day of the National Oceanography Centre in Southampton. We demonstrated the use of infrared cameras in remote sensing. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://noc.ac.uk/education/educational-resources/visits-talks/open-days |
| Description | Oral presentation and discussion at the meeting of the GODAE OceanView meeting - MEAP and DA WGs - Santa Cruz, California |
| 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 | I participated to the joint meating of the two working groups in Data Assimilation (DA) and Marine Ecosystem Analysis and Prediction (MEAP) of the GODAE OceanView. This organization, initiated in 1997, aims to establish an effective and efficient infrastructure for global operational oceanography and to develop practical and robust operational activities for oceanography with great benefit for society. The works of the meeting (which were collected in a report and in a publication in preparation) will provide guidance on best practices in the use of data assimilation of earth observations with marine ecosystem models. |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://www.godae-oceanview.org/outreach/meetings-workshops/task-team-meetings/joint-da-meap-tt-work... |
| Description | Oral presentation at the EGU 2017 Meeting - GODAE OceanView session |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The talk presented a break-through method in biogeochemical data assimilation, consisting in the assimilation of plankton functional type data derived from ocean-colour observations. The talk sparked questions and requests of collaborations by colleagues. The talk was given in the session of the Marine Environment Analysis and Prediction - Task Team (MEAP-TT) of GODAE OceanView. GODAE OceanView is a progremme initiated in 1997, with the aim to establish an effective and efficient infrastructure for global operational oceanography and to develop practical and robust operational activities for oceanography with great benefit for society. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://adsabs.harvard.edu/abs/2017EGUGA..1918899C |
| Description | Oral presentation at the ESA Living Planet Symposium (Prague, Czech Republic, 9-13 May 2016) - live streaming on the Internet |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a talk (and live streaming on the internet) on cutting-edge use of eart observations from satellite (ocean colour) with marine ecosystem models to improve the understanding, simulation and management of marine ecosystem. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.esa.int/spaceinvideos/Videos/2016/05/Ocean_Colour_1_Living_Planet_2016 |
| Description | Oral presentation at the ESA's workshop "Atlantic from space", Southampton, UK, 23-25 January 2019 |
| 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 | I gave a talk entitled "Decadal reanalysis of biogeochemical indicators and fluxes in the North East Atlantic ecosystem" at the ESA's workshop "Atlantic from space", Southampton, UK, 23-25 January 2019. This talk provide my expert contribution to the objective of the workshop, which was to assess the opportunities for Atlantic region focussed Earth Observation research and development, downstream activities and Information and communications technology (ICT) evolution, which may be the basis for future ESA investments to address some of the key information needs of this important area. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://eo4society.esa.int/event/atlantic-from-space/ |
| Description | Oral presentation to the 35th meeting of the Monitoring, Assessment & Reporting Group (MARG) of DEFRA. |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | I presented the ambition and results of the UK NERC CAMPUS project, promoting the application o the science in marine policy and management frameworks. In particular, we discussed the outcomes of the project could usefully feed into our UK Marine Strategy and OSPAR monitoring and assessment programmes. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Participation in ESA Climate Detectives |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Schools |
| Results and Impact | I was one of the 'experts' in the European-wide activity: ESA climate detectives. In this activity primary school children from all over Europe made use of satellite images to detect changes in the landscape and the climate of the regions where they live. https://climatedetectives.esa.int/ |
| Year(s) Of Engagement Activity | 2018,2019 |
| URL | https://climatedetectives.esa.int/ |
| Description | Participation in the Discovery section of the 2019 UK Space Conference |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | I was part of the NCEO stand in the Discovery section of the 2019 UK Space Conference. For three days we demonstrated to primary school students the use of space observations in order to detect changes in the landscape of different places in Earth. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.ukspace2019.co.uk/ehome/index.php?eventid=200183909& |
| Description | Pinnington presentation at RMetS SE Local Branch 2015 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk presented by E.M. Pinnington, with co-authors T.L. Quaife, S.L. Dance, A.S. Lawless, N.K. Nichols, J. I. L. Morison, M. Wilkinson and E. Casella at the Royal Met Soc, SE Local Branch, Reading, on 'Constraining forest carbon balances: what are the most informative measurements?' |
| Year(s) Of Engagement Activity | 2015 |
| Description | Poster presentation EGU Vienna |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster (Variational methods to estimate terrestrial ecosystem model parameters) presentation at the European Geosciences Union General Assembly 2016. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://meetingorganizer.copernicus.org/EGU2016/EGU2016-7975.pdf |
| Description | Poster presentation ISDA 2016 Reading |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation at the international symposium on data assimilation, Reading, 2016. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.isda2016.net/abstracts/posters/DelahaiesVariationalmethods.html |
| Description | Poster presentation at ICDC Carbon Dioxide conference in Intelaken, Switzerland, 2017. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Poster presentation at ICDC Carbon Dioxide conference in Intelaken, Switzerland, 2017. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Poster presentation at ISDA2019 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Approximately 100 scientists, postgrads and industry professionals attended the International Symposium for Data Assimilation 2019 in Kobe, Japan. I had several discussions with a subset of these attendees, including a ECMWF representative, regarding my poster and the implications of my research. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.data-assimilation.riken.jp/isda2019/ |
| Description | Presentation at the NCEO/UKSA stand at the ESA Living Planet Symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I disseminated and promoted NCEO research activity in the area of assimilation of ocean Earth Observations |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://www.nceo.ac.uk/article/esa-living-planet/ |
| Description | Press release reporting results published in Scientific Reports |
| 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 | A press release reporting the results from a paper published in Scientific Reports (Exbrayat et al., 2017) was prepared by NCEO outreach team and the University of Edinburgh's press office. Press release was shared many times on social media and in national news outlets. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.ed.ac.uk/news/2017/amazon-s-recovery-limited-by-climate-change |
| Description | Research was feature in a national newspaper |
| 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 | I wrote a blog about my research in the departmental blog of the University of Reading. This work was featured in The Guardian section Weatherwatch. Also, a request for interview from a station in New Zealand was received. This is still in progress. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.theguardian.com/news/2019/oct/07/weatherwatch-sound-stratospheric-winds |
| Description | SIAM Fellows Canvassing Committee |
| 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 | Made recommendations for nominations to becore Fellows of SIAM |
| Year(s) Of Engagement Activity | 2020,2021 |
| Description | Satellite Data Assimilation |
| 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 | Workshop discussed the Treatment of Random and Systematic Errors in Satellite Data Assimilation - a topic of internatinal concern. A report on the outcomes was pubished in 2021. |
| Year(s) Of Engagement Activity | 2020,2021 |
| Description | School Big Bang Careers Fair |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Display at school Big Bang Careers' Fair and talk on the science of weather modelling and use of observations. |
| Year(s) Of Engagement Activity | 2017 |
| Description | School outreach |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Around 30 school pupils attended the University as part of the Reading Scholars program. I ran a session on the mathematics of weather prediction, including Earth observation. |
| Year(s) Of Engagement Activity | 2018 |
| Description | School visit (UTC) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | School talk to around 60 A-level pupils. Afterwards the teachers spoke to me about possible future events and possible closer collaboration between the University and the school, e.g. with school projects. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Talk at EGU 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk at a major annual conference to share research results with the community |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://doi.org/10.5194/egusphere-egu2020-13848 |
| Description | Talk at RMetS Meeting on Assimilation of Big Data |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Exchange of research results on applications of data assimilation to weather forecasting. |
| Year(s) Of Engagement Activity | 2018,2019 |
| URL | https://www.rmets.org/sites/default/files/2019-10/Tabeart_RMetS_Presentation.pdf |
| Description | Talk at University of Reading |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Gave a research talk at the University of Reading. This generated interesting questions and discussion and ultimately resulted in future plans for current collaboration between Surrey and Reading. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://blogs.surrey.ac.uk/mathsresearch/2018/12/04/natalie-douglas-speaks-in-darc-seminar-at-the-un... |
| Description | Talk at University of Surrey |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Members of the Maths department at Surrey attended my talk, attendees included researchers in other areas of DA. This talk generated questions and discussion which sparked additional conversations that continued beyond the talk in terms of scope as well as timeframe. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Talk at conference (Ocean Sciences Meeting 2020) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The talk sparked questions |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.agu.org/ocean-sciences-meeting/ |
| Description | Talk at conference - EGU Assembly 2019 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Around 50 scientists assisted the talk, which stimulated questions and discussion. In particular, after listening my talk, the session convener asked me to develop a future collaboration to couple ERSEM to the MIT model of the Mediterranean Sea |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://egu2019.eu/ |
| Description | Talk at the Ocean Sciences Meeting 2018 (Portland, Oregon, USA) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a talk entitled "Assimilation of ocean-colour plankton functional types to improve the simulation of a marine ecosystem model". My presentation was attended by 70 scientists, sparked questions and discussion afterwards and it strengthened the position of PML and NCEO as leading insitution in marine modelling and data assimilation science. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Towards an end-to-end European Ocean Observing System (EOOS) |
| 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 | Towards an end-to-end European Ocean Observing System (EOOS) There is a growing recognition of the need to build a comprehensive, end-to-end European Ocean Observing System (EOOS) to coordinate the currently fragmented and complex ocean observing capacity across Europe. In 2015, EMB and EuroGOOS launched a joint activity on EOOS as a framework for advancing Europe's capability for ocean observation. On 12-13 May 2015, a joint workshop was held in Brussels bringing together experts from the marine scientific and operational oceanographic communities to develop a roadmap, time-line and governance structure for EOOS. This was convened with the long-term goal of implementing a flagship initiative building on existing resources and commitments and aligning with international developments such as the Framework for Ocean Observing. In particular, in Europe, there is a growing recognition of the need to build a comprehensive, end-to-end European Ocean Observing System (EOOS). In 2015, EMB and EuroGOOS launched a joint activity on EOOS, bringing together the marine scientific and operational oceanographic communities to develop a roadmap, time-line and governance structure for EOOS with the long-term goal of implementing a flagship initiative building on existing resources and commitments. Activities to date include an expert workshop in May 2015 |
| Year(s) Of Engagement Activity | 2015 |
| Description | Two Talks at ECMWF H SAF and HEPEX Workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Improved flood forecasting through data assimilation |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://events.ecmwf.int/event/130 |
| Description | UK Dept of Business Enterprise Innovation and Skills |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | An invited visit to BEIS to discuss forest monitoring, reporting for international climate agreements |
| Year(s) Of Engagement Activity | 2017 |
| Description | Visitor and Seminar speaker at NRL |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Scientific Visitor to US Naval Research Laboratory at Monterey California USA and seminar speaker on data assimilation |
| Year(s) Of Engagement Activity | 2014,2015 |
| Description | WCRP Ocean Model Development Panel workshop in Japan |
| 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 | Valdivieso was invited to attend and present results on comparing atmospheric, oceanic and other satellite based surface heat flux products as part of the evaluations of products to benchmark future ocean models. Workshop took place in Japan in Jan 2016. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Webinar on marine ecosystem monitoring, modelling, assimilation to the ARCH-UK aquaculture community |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | I presented the outcomes of marine ecosystem monitoring, modelling, assimilation developed in CAMPUS and other projects.The objective was to promote the exploitation of these outcomes in the framework of aquaculture planning and monitoring. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.aquaculturehub-uk.com/events/2021/3/23/campus-applying-oxygen-monitoringmodelling-techni... |
| Description | invited talk at the ESA-ECMWF workshop on machine learning for Earth Science |
| 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 | In the application of ML/DL techniques to ESOP there are still many unanswered questions. The aim of the workshop was to appraise the state of the art of the application of ML/DL techniques to ESOP, to identify the main issues that need to be solved for further progress, and to make a start on charting ways forward. Presenters of the longer talks covered not just their own work but also to gave a general overview of the subject. Discussions were facilitated by parallel working groups where the main issues were discussed in more detail. The output of the workshop is in the form of working group reports, to be summarised in a technical memorandum or paper. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://events.ecmwf.int/event/172/ |