Climatology Meteorology Atmosphere
The Soil Moisture (SM) product is derived from the Advanced SCATterometer (ASCAT) backscatter observations and given in swath orbit geometry (12.5 km sampling). This SM product provides an estimate of the water content of the 0-5 cm topsoil layer, expressed in degree of saturation between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of SM and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multi-angle viewing capabilities of ASCAT. The SM processor has been developed by Vienna University of Technology (TU Wien). Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.Metop-A data are available in the Data Centre up to 15/11/2021.
ASCAT Soil Moisture at 12.5 km Swath Grid in NRT - Metop
geossDataCore
geossNoMonetaryCharge
geossuserRegistration
geossAttribution
CWIC
FedEO
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
METOP-A
METOP-B
ASCAT
Metop-A
Metop-B
Land
Soil Moisture
Via Pratica di Mare, 45 c/o Aeroporto M. De Bernardi
Italy
EUMETSAT

Climatology Meteorology Atmosphere
The Soil Moisture (SM) product is derived from the Advanced SCATterometer (ASCAT) backscatter observations and given in swath orbit geometry (25 km sampling). This SM product provides an estimate of the water content of the 0-5 cm topsoil layer, expressed in degree of saturation between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of SM and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multi-angle viewing capabilities of ASCAT. The SM processor has been developed by Vienna University of Technology (TU Wien). Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.Metop-A data are available in the Data Centre up to 15/11/2021.
ASCAT Soil Moisture at 25 km Swath Grid in NRT - Metop
geossDataCore
geossNoMonetaryCharge
geossuserRegistration
geossAttribution
CWIC
FedEO
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
METOP-A
METOP-B
ASCAT
Metop-A
Metop-B
Land
Soil Moisture
Via Pratica di Mare, 45 c/o Aeroporto M. De Bernardi
Italy
EUMETSAT

Climatology Meteorology Atmosphere
This ASCAT Multi-parameter product contains surface wind vectors over ocean and soil moisture index over land. Additionally, the backscatter values involved in the retrieval of the geophysical parameters above are also included, as well as several quality flags to facilitate the use of the data. For NWP users this product is provided in BUFR format. The netCDF version of this product contains Winds ONLY. For users interested in either ASCAT backscatter, wind or soil moisture index data in other formats, please refer to the relevant product entries available for the specific parameters. Finally, note that although the OSI SAF is identified as the originating centre for this product, it is not responsible for the processing of soil moisture index values, which is currently carried out at EUMETSAT.
ASCAT Winds and Soil Moisture at 25 km Swath Grid - Metop-B
geossDataCore
geossNoMonetaryCharge
geossuserRegistration
geossAttribution
FedEO
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
METOP-A
METOP-B
ASCAT
Metop-A
Metop-B
Land
Ocean
Ocean Surface Wind
Radar Backscatter NRCS
Soil Moisture
Avenue de Lorraine, BP 50747
France
EUMETSAT/OSISAF

The Advanced Very High Resolution Radiometer (AVHRR) operates at 5 different channels simultaneously in the visible and infrared bands, with wavelengths specified in the instrument channels description. Channel 3 switches between 3a and 3b for daytime and nighttime. As a high-resolution imager (about 1.1 km near nadir) its main purpose is to provide cloud and surface information such as cloud coverage, cloud top temperature, surface temperature over land and sea, and vegetation or snow/ice. In addition, AVHRR products serve as input for the level 2 processing of IASI and ATOVS.Metop-A data are available in the Data Centre up to 15/11/2021.
AVHRR Level 1B - Metop - Global
EARTH SCIENCE>CLIMATE INDICATORS>ATMOSPHERIC/OCEAN INDICATORS
EARTH SCIENCE>ATMOSPHERE
AVHRR
Atmosphere
Ocean
EUMETSAT Allee 1
Germany
EUMETSAT

This product contains Sea Surface Temperature (SST) estimations (skin) from the IASI instrument on L2P GHRSST format, including single sensor error statistics, quality flags and collocated surface model winds. It is considered a L2pCore and not a complete L2P product because it does not currently contain further ancillary data such as aerosols and fluxes information.NOTE: From 15/10/2021, Metop-A IASI data are no longer available.
IASI L2PCore Sea Surface Temperature (GHRSST) - Metop
EARTH SCIENCE>OCEANS>OCEAN TEMPERATURE>SEA SURFACE TEMPERATURE
IASI
Ocean
Sea Surface Temperature
EUMETSAT Allee 1
Germany

This ASCAT Multi-parameter product contains surface wind vectors over ocean and soil moisture index over land. Additionally, the backscatter values involved in the retrieval of the geophysical parameters above are also included, as well as several quality flags to facilitate the use of the data. For NWP users this product is provided in BUFR format. The netCDF version of this product contains Winds ONLY. For users interested in either ASCAT backscatter, wind or soil moisture index data in other formats, please refer to the relevant product entries available for the specific parameters. Finally, note that although the OSI SAF is identified as the originating centre for this product, it is not responsible for the processing of soil moisture index values, which is currently carried out at EUMETSAT. For wind data before 1 April 2014: better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).Metop-A data are available in the Data Centre up to 15/11/2021.
ASCAT Winds and Soil Moisture at 25 km Swath Grid - Metop-A
Ocean Surface Wind
Radar Backscatter NRCS
Avenue de Lorraine, BP 50747
France
EUMETSAT/OSISAF

The main objective of the Infrared Atmospheric Sounding Interferometer (IASI) is to provide high resolution atmospheric emission spectra to derive temperature and humidity profiles with high spectral and vertical resolution and accuracy. Additionally, it is used for the determination of trace gases such as ozone, as well as land and sea surface temperature, emissivity and cloud properties. This combined product (IASI Atmospheric Temperature Water Vapour and Surface Skin Temperature; IASI Cloud Parameters; IASI Ozone and IASI Trace Gases contains temperature Profiles, Humidity Profiles, Surface Temperature, Surface Emissivity, Fractional Cloud Cover, Cloud Top Temperature, Cloud Top Pressure, Cloud Phase, Total Column Ozone, Columnar ozone amounts in thick layers, Total column N2O, CO, CH4, CO2 - all combined in one product.NOTE: From 15/10/2021, Metop-A IASI data are no longer available.
IASI Combined Sounding Products - Metop
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC WATER VAPOR>WATER VAPOR INDICATORS>HUMIDITY
IASI
Atmosphere
Humidity
Temperature
EUMETSAT Allee 1
Germany

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2022, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website. This is version 2.1.0 of the dataset.The six thematic climate variables included in this dataset are:â¢ Lake Water Level (LWL), derived from satellite altimetry, is fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.â¢ Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at set time-points, describes the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example. .â¢ Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, is correlated with regional air temperatures and is informative about vertical mixing regimes, driving biogeochemical cycling and seasonality.â¢ Lake Ice Cover (LIC), determined from optical observations, describes the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.â¢ Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, is a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).â¢ Lake Ice Thickness (LIT), containing LIT information over Great Slave lake from 2002-2022.Data generated in the Lakes_cci are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel 2-3, Landsat 4, 5, 7 and 8, ERS-1, ERS-2, Terra/Aqua and Metop-A/B.Satellite sensors associated with the thematic climate variables are as follows:LWL: TOPEX/Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-6A, Envisat RA/RA-2, SARAL AltiKa, GFO, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 RA, ERS-2; LWE: Landsat 4 TM, 5 TM, 7 ETM+, 8 OLI, Sentinel-1 C-band SAR, Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI;LSWT: Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, Metop-A/B; LIC: Terra/Aqua MODIS; LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, Aqua MODIS;LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B.Detailed information about the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website and in Carrea, L., CrÃ©taux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
This dataset was generated in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
ETM+
C-SAR
Sentinel-2 MSI
Envisat
Topex/Poseidon
ERS
Metop
SARAL
TOPEX/POSEIDON
TERRA
ETM
MSI
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Lakes
ECV
orthoimagery
Unavailable

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
This v2.1 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude - longitude grid. It combines data from both the Advanced Very High Resolution Radiometer (AVHRR ) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.The dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.The CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/When citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x
ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI SST project team and supplied to the Centre for Environmental Data Analysis (CEDA) for archiving in the context of the ESA CCI Open Data Portal project and the National Centre for Earth Observation (NCEO).
Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x
EARTH SCIENCE>OCEANS>OCEAN TEMPERATURE>SEA SURFACE TEMPERATURE
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
ENVISAT
AATSR
ATSR
sea surface temperature
Envisat
Public data: access to these data is available to both registered and non-registered users.
SST
ESA Climate Change Initiative
orthoimagery
Unavailable

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:â¢ Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.â¢ Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.â¢ Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. â¢ Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. â¢ Lake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
This dataset was generate in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
Aqua
ENVISAT
Terra
TOPEX/POSEIDON
ETM+
C-SAR
AATSR
MERIS
MODIS
MSS
OLI
RA
SeaWiFS
SSALT
TM
OLCI
day
Collecte Localisation Satellites
Laboratoire d'Etudes en Geodesie et Oceanographie Spatiales
Plymouth Marine Laboratory
Envisat
GFO
SARAL
SNPP
Topex/Poseidon
Level 3
Level 3S
MERGED
AltiKa
VIIRS
lakes
multiple lake products
SRAL
University of Reading
H2O Geomatics
AQUA
TERRA
ETM
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Lakes
ECV
orthoimagery
Unavailable