Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Climatology Meteorology Atmosphere
The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for "land" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below.
SMOS NRT Data Products
No info available.
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
SMOS
MIRAS
Orthoimagery
Land Surface
Soils
Soil Moisture
Sun-synchronous
Interferometric Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions

Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Climatology Meteorology Atmosphere
SMOS retrieved surface wind speed gridded maps (with a spatial sampling of 1/4 x 1/4 degrees) are available in NetCDF format.
Each product contains parts of ascending and descending orbits and it is generated by Ifremer, starting from the SMOS L1B data products, in Near Real Time i.e. within 4 to 6 hours from sensing time.
Before using this dataset, please check the read-me-first note available in the Resources section below.
SMOS NRT L2 Swath Wind Speed
No info available.
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>MARINE ENVIRONMENT MONITORING
EARTH SCIENCE>OCEANS>OCEAN CIRCULATION
SMOS
MIRAS
Orthoimagery
Oceans
Marine Environment Monitoring
Ocean Circulation
Sun-synchronous
Interferometric Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions

Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Climatology Meteorology Atmosphere
The SMOS-CryoSat merged Sea Ice Thickness Level 4 product, in NetCDF format, is based on estimates from both the MIRAS and the SIRAL instruments, with a significant reduction in the relative uncertainty for the thickness of the thin ice. A weekly averaged product is generated every day by the Alfred Wegener Institut (AWI), by merging the weekly AWI CryoSat-2 sea ice product and the daily SMOS sea ice thickness retrieval. All grids are projected onto the 25 km EASE2 Grid, based on a polar aspect spherical Lambert azimuthal equal-area projection. The grid dimension is 5400 x 5400 km, equal to a 432 x 432 grid centered on the geographic Pole. Coverage is limited to the October-April (winter) period for the Northern Hemisphere, due to the melting season, from year 2010 onwards.
SMOS-CryoSat L4 Sea Ice Thickness
No info available.
European Space Agency, 2023, SMOS-CryoSat L4 Sea Ice Thickness, Version 206.
EARTH SCIENCE>CRYOSPHERE
EARTH SCIENCE>CRYOSPHERE>SEA ICE
SMOS
MIRAS
Orthoimagery
Cryosphere
Sea Ice
Sun-synchronous
Interferometric Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions

The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards. The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity. Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI). This product is complementary with sea ice thickness measurements from ESA's CryoSat and Copernicus Sentinel-3 missions.
SMOS Level 3C Sea Ice Thickness
European Space Agency, 2023, SMOS L3 Sea Ice Thickness, Version 3.3.
EARTH SCIENCE>CRYOSPHERE
EARTH SCIENCE>CRYOSPHERE>SEA ICE
Cryosphere
Sea Ice

The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 "dynamic" and "static" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below.
SMOS Auxiliary Data
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>SALINITY/DENSITY
Land Surface
Soils
Soil Moisture
Oceans
Salinity and Density

Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class ""OPER"", while reprocessed data is tagged as ""REPR"". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5°. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below.
SMOS L1 and L2 Science data
European Space Agency, 2021, SMOS L2 SM V700, Version 700.
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>SALINITY/DENSITY
Land Surface
Soils
Soil Moisture
Oceans
Salinity and Density

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
The ESA Sea Surface Salinity CCI consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2019 period.This dataset contains Sea Surface Salinity (SSS) v2.31 data at a spatial resolution of 50 km and a time resolution of 1 week. It has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available. In addition to salinity, information on errors are provided (see more in the user guide and product documentation available below and on the Sea Surface Salinity CCI web page).An overview paper about CCI SSS is now published:Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.An updated version of CCI SSS (version 3.21) is now available on: ; version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag.
ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product, v2.31, for 2010 to 2019
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 have been produced by the Sea Surface Salinity project as part of the ESA Climate Change Initiative programme and delivered for long-term archiving at the Centre for Environmental Data Analysis (CEDA).
Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
sea surface salinity
SAC-D
SMAP
Aquarius
Public data: access to these data is available to both registered and non-registered users.
ESA Climate Change Initiative
CCI
Sea Surface Salinity
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
The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.The v05.2 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using all three of the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.0013. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 05.2
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 Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 05.2 data collection. doi: 10.5285/b11f3fa3303e46e6b0d44b058947a3f5. http://dx.doi.org/10.5285/b11f3fa3303e46e6b0d44b058947a3f5
Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-2019
EARTH SCIENCE>CLIMATE INDICATORS>LAND SURFACE/AGRICULTURE INDICATORS>SOIL MOISTURE
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
Aqua
CORIOLIS
DMSP 5D-2/F8
DMSP 5D-2/F11
DMSP 5D-2/F13
TRMM
AMSR-E
SMMR
SSM/I
TMI
WINDSAT
soil moisture
Coriolis
SMAP
AMSRE
WindSat
AQUA
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Passive
orthoimagery
Unavailable

Geoscientific Information
CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation. Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
Aqua
CORIOLIS
METOP-A
METOP-B
TRMM
AMSR-E
WINDSAT
SSM/I
ERS WIND SCATTEROMETER
ASCAT
SMMR
TMI
AQUA
WindSat
Metop-A
Metop-B
AMI/Scatterometer
ECV
Coriolis
AMI-SCAT

Geoscientific Information
CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation. Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"
Aqua
CORIOLIS
TRMM
AMSR-E
WINDSAT
SSM/I
SMMR
TMI
AQUA
WindSat
ECV
Coriolis