Evaluation Of Soil Moisture Control On Surface Fluxes In Earth System Models (e-stress)
Lead Research Organisation:
University of Leicester
Department Name: Physics and Astronomy
Abstract
Soil water plays a key role in a range of processes which are important for weather and climate. During extended periods without rain, the soil can dry out due to the vegetation transpiring and evaporation of water direct from bare soil surfaces. At some point in this drying cycle, evaporation itself becomes limited by the lack of soil water. Under such water-stressed conditions, there is a change in the way that incoming radiation from the sun is partitioned at the land surface; less energy is required for evapotranspiration so more energy goes into heating up the ground and overlying air. As well as raising air temperatures, this change can have important effects on atmospheric circulations, clouds and rain. As well as these physical effects, thr drying out of soils also has important biogeochemical impacts. The seasonal evolution of crops and natural vegetation is often sensitive to drought, in turn affecting crop yields and natural habitats. In the longer-term, drying soils can trigger changes in the regional composition of vegetation, for example favouring shrubs over trees. Such changes in vegetation are expected to play an important future role in the global climate system; vegetation offsets much of the carbon dioxide which is emitted from man's activities, and loss of trees weakens this carbon sink. Soil water also affects the concentration of a number of other important trace gases, such as ozone and volatile organic compounds. During heatwaves, soil water deficits contribute to high concentrations of such trace gases, as well as high temperatures, with impacts on human health.
We rely on complex numerical codes run on powerful computers to make predictions of the atmosphere. For several decades, weather prediction models have incorporated simple descriptions of how soil water affects the atmosphere. Driven by a growing realisation of the importance of soil and vegetation processes for future climate, land surface models within so-called Earth System Models (ESMs) have become more complex, allowing us to simulate vegetation dynamics and trace gas responses to drought amongst other factors. These models rely on basic equations designed to capture the physical processes of e.g. evapotranspiration and soil drainage at a point in space. However, between locations there are huge and sometimes unknown differences in the nature of vegetation and soil which control these processes. All the same, the ESMs apply these equations over diverse areas of many thousands of square kilometres. Critically, there are no accurate in situ measurements at such large spatial scales which can be used to check how well the model simulates key land processes.
This project will exploit the availability of images collected by satellites over recent years. These can provide both spatial detail (down to 1km) and global coverage of key land properties. We will look at how the temperature of the land surface rises as the soil dries, how long a dry spell is required for these temperatures to rise, and how they influence the occurrence of heat waves. We will look at these relationships at the same coarse spatial scale as the ESMs and identify which regions and vegetation types are more prone to drought stress. We will produce several measures which for the first time, will allow us to test how well the key processes are represented by the ESMs across the globe. We will identify specific weaknesses within the UK ESM, and also evaluate a number of other models used for the latest Intergovernmental Panel on Climate Change to make projections of future climate. We will make our new observational datasets available to climate and weather modelling groups around the world. This will allow the next generation of ESMs to benefit from our research, and in turn contribute to improved prediction on time scales from hours to decades.
We rely on complex numerical codes run on powerful computers to make predictions of the atmosphere. For several decades, weather prediction models have incorporated simple descriptions of how soil water affects the atmosphere. Driven by a growing realisation of the importance of soil and vegetation processes for future climate, land surface models within so-called Earth System Models (ESMs) have become more complex, allowing us to simulate vegetation dynamics and trace gas responses to drought amongst other factors. These models rely on basic equations designed to capture the physical processes of e.g. evapotranspiration and soil drainage at a point in space. However, between locations there are huge and sometimes unknown differences in the nature of vegetation and soil which control these processes. All the same, the ESMs apply these equations over diverse areas of many thousands of square kilometres. Critically, there are no accurate in situ measurements at such large spatial scales which can be used to check how well the model simulates key land processes.
This project will exploit the availability of images collected by satellites over recent years. These can provide both spatial detail (down to 1km) and global coverage of key land properties. We will look at how the temperature of the land surface rises as the soil dries, how long a dry spell is required for these temperatures to rise, and how they influence the occurrence of heat waves. We will look at these relationships at the same coarse spatial scale as the ESMs and identify which regions and vegetation types are more prone to drought stress. We will produce several measures which for the first time, will allow us to test how well the key processes are represented by the ESMs across the globe. We will identify specific weaknesses within the UK ESM, and also evaluate a number of other models used for the latest Intergovernmental Panel on Climate Change to make projections of future climate. We will make our new observational datasets available to climate and weather modelling groups around the world. This will allow the next generation of ESMs to benefit from our research, and in turn contribute to improved prediction on time scales from hours to decades.
Planned Impact
As well as having considerable scientific impact (as outlined in the academic beneficiaries section), this project will strongly support impact through four major routes:
1. Effective engagement with government departments, such as DECC, Defra and DFID, concerned with policy and environment regulation .
2. The operational meteorological community who would also wish to implement model benchmarking and process improvement in land surface models for numerical weather prediction (NWP).
3. The space agencies and space industry which wish to understand the exploitation of EO data, the utility of satellite instruments for EO, and the future scenarios and instrument requirements for new missions both in the scientific and commercial sectors.
4. Outreach into schools to demonstrate the value of research, the power of and need for satellite observations and Earth System Models (ESM), and to encourage and learn from school children about their interests in STEM subjects.
Much of our impact activity in this project will be leveraged through investments and activities on-going in these areas but with a specific focus on EO exploitation and ESM model testing implications. Extreme temperature events will be a particular focus. Government departments will be engaged both through existing contacts and through our commitment to programme-wide initiatives in the NERC ESM projects and in LWEC. Operational organisations will be targetted through a specific workshop. The space sector will be informed both through national interactions, e.g. with the Space Catapult and the existing LWEC engagement in this area, and international impact agenda considerations, e.g. through the European Space Agency. Finally, outreach activities will be enhanced through specific topic development (project-related) in the national Space Academy and the peer-reviewed Blue Marble projects.
1. Effective engagement with government departments, such as DECC, Defra and DFID, concerned with policy and environment regulation .
2. The operational meteorological community who would also wish to implement model benchmarking and process improvement in land surface models for numerical weather prediction (NWP).
3. The space agencies and space industry which wish to understand the exploitation of EO data, the utility of satellite instruments for EO, and the future scenarios and instrument requirements for new missions both in the scientific and commercial sectors.
4. Outreach into schools to demonstrate the value of research, the power of and need for satellite observations and Earth System Models (ESM), and to encourage and learn from school children about their interests in STEM subjects.
Much of our impact activity in this project will be leveraged through investments and activities on-going in these areas but with a specific focus on EO exploitation and ESM model testing implications. Extreme temperature events will be a particular focus. Government departments will be engaged both through existing contacts and through our commitment to programme-wide initiatives in the NERC ESM projects and in LWEC. Operational organisations will be targetted through a specific workshop. The space sector will be informed both through national interactions, e.g. with the Space Catapult and the existing LWEC engagement in this area, and international impact agenda considerations, e.g. through the European Space Agency. Finally, outreach activities will be enhanced through specific topic development (project-related) in the national Space Academy and the peer-reviewed Blue Marble projects.
Organisations
- University of Leicester (Lead Research Organisation)
- European Organisation for the Exploitation of Meteorological Satellites (Collaboration)
- National Aeronautics and Space Administration (NASA) (Collaboration)
- Danish Meteorological Institute (DMI) (Collaboration)
- Brockmann Consult (Collaboration)
- Estellus (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- Portuguese Institute of Sea and Atmosphere (IPMA) (Collaboration)
- ACRI-ST (Collaboration)
- Karlsruhe Institute of Technology (Collaboration)
- Meteorological Office UK (Collaboration)
- Rutherford Appleton Laboratory (Collaboration)
- University of Bern (Collaboration)
- University of Bath (Collaboration)
- National Oceanic and Atmospheric Administration (Collaboration)
- European Space Agency (Collaboration)
- SWANSEA UNIVERSITY (Collaboration)
- Royal Netherlands Meteorological Institute (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
People |
ORCID iD |
John Remedios (Principal Investigator) | |
Darren Ghent (Researcher) |
Publications
Hu X
(2019)
Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries
in Agricultural and Forest Meteorology
Mielonen T
(2018)
Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA
in Atmosphere
Popp T
(2020)
Consistency of Satellite Climate Data Records for Earth System Monitoring
in Bulletin of the American Meteorological Society
Ma Z
(2019)
Long-Term Precipitation Estimates Generated by a Downscaling-Calibration Procedure Over the Tibetan Plateau From 1983 to 2015
in Earth and Space Science
Gallego-Elvira B
(2019)
Evaluation of Regional-Scale Soil Moisture-Surface Flux Dynamics in Earth System Models Based on Satellite Observations of Land Surface Temperature
in Geophysical Research Letters
Gallego-Elvira B
(2016)
Global observational diagnosis of soil moisture control on the land surface energy balance
in Geophysical Research Letters
Nie J
(2021)
Land Surface Temperature and Emissivity Retrieval From Nighttime Middle-Infrared and Thermal-Infrared Sentinel-3 Images
in IEEE Geoscience and Remote Sensing Letters
Zhou X
(2020)
Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Good E
(2017)
A spatiotemporal analysis of the relationship between near-surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series
in Journal of Geophysical Research: Atmospheres
Ghent D
(2017)
Global Land Surface Temperature From the Along-Track Scanning Radiometers
in Journal of Geophysical Research: Atmospheres
Candy B
(2017)
The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts
in Journal of Geophysical Research: Atmospheres
Rasmussen T
(2018)
Impact of Assimilation of Sea-Ice Surface Temperatures on a Coupled Ocean and Sea-Ice Model
in Journal of Geophysical Research: Oceans
Perry M
(2020)
Multisensor Thermal Infrared and Microwave Land Surface Temperature Algorithm Intercomparison
in Remote Sensing
Zheng Y
(2019)
Land Surface Temperature Retrieval from Sentinel-3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm
in Remote Sensing
Ghent D
(2019)
A New Approach to Defining Uncertainties for MODIS Land Surface Temperature
in Remote Sensing
Bulgin C
(2018)
Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors
in Remote Sensing
Martin M
(2019)
Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years
in Remote Sensing
Sobrino J
(2016)
Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data
in Remote Sensing of Environment
Tagesson T
(2018)
Disaggregation of SMOS soil moisture over West Africa using the Temperature and Vegetation Dryness Index based on SEVIRI land surface parameters
in Remote Sensing of Environment
Loew A
(2017)
Validation practices for satellite-based Earth observation data across communities
in Reviews of Geophysics
Cheval S
(2022)
MODIS-based climatology of the Surface Urban Heat Island at country scale (Romania)
in Urban Climate
Description | The influence of land surface temperature does provide a constraint on soil moisture. Within models, land surface temperature dependences can provide a test of analysed and predicted drought. Therefore land surface temperature datasets should be a valuable resource for the community and this is leading to a growth in the use of the research data sets that we produce (due to their quality). |
Exploitation Route | The results are being applied by CEH to the evaluation of Earth System Models. The land surface temperature data have been incorporated into public web-sites and are being downloaded by a range of users. |
Sectors | Agriculture Food and Drink Environment |
Description | Invited Expert onto the GCOS-TOPC Panel |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Description | LSTM Mission Advisory Group |
Geographic Reach | Europe |
Policy Influence Type | Membership of a guideline committee |
Description | Assessment of the potential use of high resolution Thermal Infra-Red (TIR) bands |
Amount | € 400,000 (EUR) |
Funding ID | 4000120368/17/NL/AF/hh |
Organisation | ESA - ESTEC |
Sector | Public |
Country | Netherlands |
Start | 04/2017 |
End | 04/2020 |
Description | COPERNICUS SPACE COMPONENT VALIDATION FOR LAND SURFACE TEMPERATURE, AEROSOL OPTICAL DEPTH AND WATER VAPOUR SENTINEL-3 PRODUCTS |
Amount | € 1,500,000 (EUR) |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 01/2020 |
End | 12/2021 |
Description | EO4Society - Restore-IT |
Amount | € 150,000 (EUR) |
Funding ID | 4000136484/21/I-DT-lr |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 12/2021 |
End | 12/2022 |
Description | ESA CCI Land Surface Temperature |
Amount | € 1,745,720 (EUR) |
Funding ID | 4000123553/18/I-NB |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 04/2018 |
End | 10/2021 |
Description | ESA Earth Observation Envelope Programme - Data User Element (GlobTemperature) |
Amount | € 332,995 (EUR) |
Funding ID | 4000xxx/13/I-AM |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 11/2013 |
End | 12/2017 |
Description | ESA LSTM End-2-End Mission Performance Simulator (E2ES) Study |
Amount | € 250,000 (EUR) |
Funding ID | 4000125870/18/NL/LF |
Organisation | ESA - ESTEC |
Sector | Public |
Country | Netherlands |
Start | 11/2018 |
End | 03/2020 |
Description | ESA Sentinel-3 Mission Performance Centre (S3MPC) |
Amount | € 354,466 (EUR) |
Funding ID | 4000111836/14/I-LG |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 09/2018 |
End | 12/2021 |
Description | EUMETSAT Visiting Scientist Scheme (Intercomparison of the CM SAF and GlobTemperature LST TCDR Project) |
Amount | € 21,000 (EUR) |
Organisation | European Organisation for the Exploitation of Meteorological Satellites |
Sector | Public |
Country | Germany |
Start | 03/2016 |
End | 10/2016 |
Description | Ground-Based Observations for validation (GBOV) of Copernicus Global Land Products |
Amount | € 172,000 (EUR) |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 09/2017 |
End | 06/2021 |
Description | Land Surface Temperature Climate Change Initiative (LST_cci) Phase-2 |
Amount | € 1,300,000 (EUR) |
Funding ID | 4000123553/18/I-NB |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 03/2022 |
End | 03/2025 |
Description | Newton-Fund CSSP-China VEgetation near Real time Detection And moNiToring for China (VERDANT) Project |
Amount | £221,755 (GBP) |
Funding ID | P107722 |
Organisation | Department for Business, Energy & Industrial Strategy |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2021 |
Description | Optical Mission Performance Cluster (OPT-MPC) |
Amount | € 20,000,000 (EUR) |
Organisation | European Space Agency |
Sector | Public |
Country | France |
Start | 01/2022 |
End | 12/2026 |
Description | SPRINT - ESDIM (Environmental Sites Data Intelligent Monitoring) |
Amount | £49,950 (GBP) |
Organisation | UK Space Agency |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | Thermal InfraRed Imager Scientific sIMulation study (TIRI-SIM) |
Amount | € 90,000 (EUR) |
Funding ID | 4000117242/16/NL/FF/mc |
Organisation | ESA - ESTEC |
Sector | Public |
Country | Netherlands |
Start | 06/2016 |
End | 06/2017 |
Title | LST_cci AATSR |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci ATSR-2 |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from ATSR-2 (Along-Track Scanning Radiometer 2), level 3 collated (L3C) global product (1995-2013), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci Aqua-MODIS |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci IRCDR |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci IRMGP |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci SLSTR-A |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci SLSTR-B |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | LST_cci Terra-MODIS |
Description | ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Climate model evaluation |
Title | Land Surface Temperature (LST) dataset from the (A)ATSR instruments |
Description | Land Surface Temperature (LST) products from the Along-Track Scanning Radiometers (ATSRs) at Level-2 (swath) and Level-3 (gridded) |
Type Of Material | Database/Collection of data |
Year Produced | 2014 |
Provided To Others? | Yes |
Impact | Use of this dataset in multiple user applications |
URL | http://data.globtemperature.info/ |
Title | Land Surface Temperature (LST) datasets from the MODIS instruments |
Description | Land Surface Temperature (LST) datasets from the MODIS instruments with uncertainties estimated from first principles |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
Impact | Use the dataset in investigative studies on data assimilation into NWP, and building relationships between land and air temperature to fill the gaps in the global air temperature coverage |
Title | Land Surface Temperature Climate Data Record from ATSRs |
Description | A first Climate Data Record (CDR) of Land Surface Temperature from the ATSR sensors |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
Impact | First publications in preparation Collaborations with other group in intercomparing the CDR with Air Temperature data records |
URL | http://data.globtemperature.info |
Title | Land Surface Temperature from SLSTR |
Description | Operational Land Surface Temperature from the SLSTR sensor |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | Operational Sentinel dataset available to the wide user community via Copernicus |
URL | http://data.globtemperature.info |
Title | Multi-sensor Merged Land Surface Temperature Dataset |
Description | 3-hourly Multi-sensor GEO + LEO Merged Land Surface Temperature dataset to resolve the diurnal cycle on a global basis |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
Impact | Exploitation of this dataset in first publications |
URL | http://data.globtemperature.info |
Description | H2020 EUSTACE Project |
Organisation | Danish Meteorological Institute (DMI) |
Country | Denmark |
Sector | Public |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | Meteorological Office UK |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | Royal Netherlands Meteorological Institute |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | Rutherford Appleton Laboratory |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | University of Bath |
Department | Department of Mathematical Sciences |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | University of Bern |
Country | Switzerland |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | H2020 EUSTACE Project |
Organisation | University of Reading |
Department | Department of Meteorology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Work Package Leader on Validation and Intercomparison Provision of satellite Land Surface Temperature data and associated uncertainties from the MODIS instruments |
Collaborator Contribution | Project Leadership Building relationships between surface temperature and air temperature |
Impact | Production of MODIS Land Surface Temperature Product to be added to the UK CEDA Archive for use by the wider science community |
Start Year | 2015 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | ACRI-ST |
Country | France |
Sector | Private |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | Estellus |
Country | France |
Sector | Private |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | European Organisation for the Exploitation of Meteorological Satellites |
Country | Germany |
Sector | Public |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | European Space Agency |
Country | France |
Sector | Public |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | Karlsruhe Institute of Technology |
Country | Germany |
Sector | Academic/University |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | Meteorological Office UK |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | National Aeronautics and Space Administration (NASA) |
Department | Jet Propulsion Laboratory |
Country | United States |
Sector | Public |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | National Oceanic And Atmospheric Administration |
Country | United States |
Sector | Public |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | Portuguese Institute of Sea and Atmosphere (IPMA) |
Country | Portugal |
Sector | Public |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | International Land Surface Temperature and Emissivity Working Group (ILSTE) |
Organisation | University of Reading |
Department | Department of Meteorology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Setup and Coordination of this International Working Group Leading the effort to reclassify Land Surface Temperature (LST) as an Essential Climate Variable (ECV) Production of community-wide protocols and formats: Validation Protocol; Harmonised Data Format; Common Terminology Organisation of International Meetings of the Working Group |
Collaborator Contribution | Setup and population of the ILSTE Website Contributions to the effort to reclassify LST as an ECV Contributions to the community protocols and data formats |
Impact | Direct influence on the decision by GCOS to add LST as an ECV in the next Implementation Plan of 2016 Community-wide established LST Validation Protocol, Harmonised Data Format for LST, and Common Terminology |
Start Year | 2014 |
Description | Optical Mission Performance Cluster (OPT-MPC) |
Organisation | ACRI-ST |
Country | France |
Sector | Private |
PI Contribution | Sentinel-3 Land Surface Temperature mission quality assurance |
Collaborator Contribution | Service delivery lead |
Impact | Mission quality |
Start Year | 2022 |
Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
Organisation | ACRI-ST |
Country | France |
Sector | Private |
PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
Start Year | 2014 |
Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
Start Year | 2014 |
Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
Organisation | Rutherford Appleton Laboratory |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
Start Year | 2014 |
Description | Sentinel-3 Mission Performance Centre (S3MPC) - SLSTR Expert Support Laboratory |
Organisation | University of Reading |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Land Surface Temperature (LST) Validation Scientist and Algorithm Manager |
Collaborator Contribution | Expert Support Laboratory coordination and other expert teams |
Impact | Sentinel-3 SLSTR Cal-Val Plan and Gap Analysis Preparations for Sentinel-3 Level-2 Product commissioning |
Start Year | 2014 |
Description | Sentinel-3 New Products |
Organisation | ACRI-ST |
Country | France |
Sector | Private |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Description | Sentinel-3 New Products |
Organisation | Brockmann Consult |
Country | Germany |
Sector | Private |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Description | Sentinel-3 New Products |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Description | Sentinel-3 New Products |
Organisation | Rutherford Appleton Laboratory |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Description | Sentinel-3 New Products |
Organisation | Swansea University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Description | Sentinel-3 New Products |
Organisation | University of Reading |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sentinel-3 Cloud Masking algorithm for Level-2 Land Surface Temperature (LST), Aerosol over Land, and Fire Radiative Power Products |
Collaborator Contribution | Project Leadership Cloud Masking over Sea Level-1 Cloud Masking |
Impact | Project only just started |
Start Year | 2016 |
Title | Multi-sensor Matchup Database for Surface Temperature |
Description | Matchup Database for validating extracted satellite observations with in situ measurements, extracted satellite observations with simulated surface temperature, and intercomparsions between multiple instrument datasets |
Type Of Technology | Software |
Year Produced | 2016 |
Impact | A key step in the processing chain of multi-sensor full archive Land Surface Temperature data products |
Description | British Geological Survey's Open Day 27 June 2015 |
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 | Scientists from the National Centre for Earth Observation (NCEO) attended the British Geological Survey's Open Day on 27 June 2015 and gave demonstrations on how scientists monitor the Earth's environment using light. |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.bgs.ac.uk/news/events/openday/ |
Description | Formal Working Group on Land Surface Temperature |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Study participants or study members |
Results and Impact | Forum for the data providers and users to come together to share knowledge |
Year(s) Of Engagement Activity | 2014,2015,2016 |