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 Level 3 Freeze and Thaw (F/T) product provides daily information on the soil state in the Northern Hemisphere based on SMOS observations and associated ancillary data. Daily products, in NetCDF format, are generated by the Finnish Meteorological Institute (FMI) and are available from 2010 onwards. The processing algorithm makes use of gridded Level 3 brightness temperatures provided by CATDS (https://www.catds.fr). The data is provided in the Equal-Area Scalable Earth Grid (EASE2-Grid), at 25 km x 25 km resolution. For an optimal exploitation of this dataset, please refer to the Resources section below to access Product Specifications, read-me-first notes, etc.
SMOS Soil Freeze and Thaw State
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions
conditions to access and use unknown
No info available.
European Space Agency, 2023, SMOS Soil Freeze and Thaw State, Version 300
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>CRYOSPHERE>FROZEN GROUND
SMOS
MIRAS
Orthoimagery
Land Surface
Frozen Ground and Permafrost
Sun-synchronous
Interferometric Radiometers
EO Sign In Authentication
Open Data
EO Sign In Authentication (Open) Access via HTTPS 1. Go to the _$$Dissemination Service$$ https://smos-diss.eo.esa.int/ 2. Find the product you want 3. Register or log in to EO Sign In 4. Download
Access via FTP 1. Open ftps://smos-diss.eo.esa.int/ via an _$$FTP$$ ftps://smos-diss.eo.esa.int/ client 2. Log in with an active EO Sign In account 3. Find the product you want 4. Download All SMOS products are freely accessible in accordance with ESA’s Earth observation data policy. An active EO Sign In account is required to download the products. New users can register an account on EO Sign In. For further information about the EO Sign In Service you can visit _$$TellUs$$ Should you need support please contact _$$EOHelp$$
Available to residents of the following countries: Worldwide

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
Oceans
SMOS L3WS products are daily composite maps of the collected SMOS L2 swath wind products for a specific day, provided with the same grid than the Level 2 wind data (SMOS L2WS NRT) but separated into ascending and descending passes.
This product is available the day after sensing from Ifremer, in NetCDF format.
Before using this dataset, please check the read-me-first note available in the Resources section below.
SMOS L3 Daily Wind Speed
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions
conditions to access and use unknown
No info available.
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>MARINE ENVIRONMENT MONITORING
EARTH SCIENCE>OCEANS>OCEAN CIRCULATION
SMOS
MIRAS
Orthoimagery
Marine Environment Monitoring
Ocean Circulation
Sun-synchronous
Interferometric Radiometers
EO Sign In Authentication
Open Data
EO Sign In Authentication (Open) Access via HTTPS 1. Go to the _$$Dissemination Service$$ https://smos-diss.eo.esa.int/ 2. Find the product you want 3. Register or log in to EO Sign In 4. Download
Access via FTP 1. Open ftps://smos-diss.eo.esa.int/ via an _$$FTP$$ ftps://smos-diss.eo.esa.int/ client 2. Log in with an active EO Sign In account 3. Find the product you want 4. Download All SMOS products are freely accessible in accordance with ESA’s Earth observation data policy. An active EO Sign In account is required to download the products. New users can register an account on EO Sign In. For further information about the EO Sign In Service you can visit _$$TellUs$$ Should you need support please contact _$$EOHelp$$
Worldwide

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 WRF product is available in Near Real Time to support tropical cyclones (TC) forecasts.
It is generated within 4 to 6 hours from sensing from the SMOS L2 swath wind speed products, in the so-called "Fix (F-deck)" format compatible with the US Navy's ATCF (Automated Tropical Cyclone Forecasting) System.
The SMOS WRF "fixes" to the best-track forecasts contain: the SMOS 10-min maximum-sustained winds (in knots) and wind radii (in nautical miles) for the 34 kt (17 m/s), 50 kt (25 m/s) and 64 kt (33 m/s) winds per geographical storm quadrants, and for each SMOS pass intercepting a TC in all the active ocean basins.
SMOS Tropical Cyclone Wind Radii Fixes
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions
conditions to access and use unknown
No info available.
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>MARINE ENVIRONMENT MONITORING
EARTH SCIENCE>OCEANS>OCEAN CIRCULATION
EARTH SCIENCE>HUMAN DIMENSIONS
EARTH SCIENCE>HUMAN DIMENSIONS>NATURAL HAZARDS
SMOS
MIRAS
Orthoimagery
Oceans
Marine Environment Monitoring
Ocean Circulation
Human Dimensions
Natural Hazards and Disaster Risk
Sun-synchronous
Interferometric Radiometers
EO Sign In Authentication
Open Data
EO Sign In Authentication (Open) Access via HTTPS 1. Go to the _$$Dissemination Service$$ https://smos-diss.eo.esa.int/ 2. Find the product you want 3. Register or log in to EO Sign In 4. Download
Access via FTP 1. Open ftps://smos-diss.eo.esa.int/ via an _$$FTP$$ ftps://smos-diss.eo.esa.int/ client 2. Log in with an active EO Sign In account 3. Find the product you want 4. Download All SMOS products are freely accessible in accordance with ESA’s Earth observation data policy. An active EO Sign In account is required to download the products. New users can register an account on EO Sign In. For further information about the EO Sign In Service you can visit _$$TellUs$$ Should you need support please contact _$$EOHelp$$
Available to residents of the following countries: Worldwide

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 provides Sea Surface Salinity (SSS) data at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. A weekly 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): Monthly 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 are provided 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
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
An experimental break-adjusted soil-moisture product has been generated by the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project for the first time with their v06.1 data release. The product attempts to reduce breaks in the final CCI product by matching the statistics of the datasets between merging periods. At v06.1, the break-adjustment process (explained in Preimesberger et al. 2020) is applied only to the COMBINED product, using ERA5 soil moisture as a reference. The Soil Moisture CCI COMBINED 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 directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.The v06.1 COMBINED break-adjusted 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 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document and Preimesberger et al. 2020. 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 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. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 06.1
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 Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project
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., 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
Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
Aqua
CORIOLIS
DMSP 5D-2/F8
DMSP 5D-2/F11
DMSP 5D-2/F13
METOP-A
METOP-B
TRMM
ERS WIND SCATTEROMETER
AMSR-E
ASCAT
SMMR
SSM/I
TMI
WINDSAT
Coriolis
Metop-A
Metop-B
AMI-SCAT
SMAP
AMSRE
WindSat
GMI
VIRR
AQUA
AMI/Scatterometer
Public data: access to these data is available to both registered and non-registered users.
ESA
Soil Moisture
CCI
Combined
orthoimagery
Unavailable

EC
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>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
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
Soil Moisture
ECV
Coriolis
AMI-SCAT

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
The Soil Moisture CCI COMBINED 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 directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.The v06.1 COMBINED 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 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. 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 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.2017.07.001
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1
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 Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project
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., 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>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
Aqua
CORIOLIS
METOP-A
METOP-B
TRMM
ERS WIND SCATTEROMETER
AMSR-E
ASCAT
SMMR
SSM/I
TMI
WINDSAT
Coriolis
Metop-A
Metop-B
AMI-SCAT
SMAP
AMSRE
WindSat
GMI
VIRR
AQUA
AMI/Scatterometer
Public data: access to these data is available to both registered and non-registered users.
ESA
Soil Moisture
CCI
Combined
orthoimagery
Unavailable

EC
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"
ECV