Dataset
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.1
Abstract
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 PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.
The v09.1 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 2023-12-31. 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, 717–739, https://doi.org/10.5194/essd-11-717-2019
2. 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
3. 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.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project |
| Data Quality: |
See the Soil Moisture CCI documentation for information on data quality
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| File Format: |
The data are provided in netCDF format.
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Related Documents
Process overview
Instrument/Platform pairings
| SMAP | Deployed on: SMAP |
| AMSR-2 | Deployed on: GCOM-W (Global Change Observation Mission for Water) |
| GMI (core) | Deployed on: GPM - Core Observatory |
| MIRAS | Deployed on: SMOS |
| WindSat | Deployed on: Coriolis |
| AMSR-E | Deployed on: Aqua Satellite, part of the Earth Observation System Afternoon Constellation (EOS-PM) |
| TMI | Deployed on: TRMM |
| Special Sensor Microwave / Imager (SSM/I) | Deployed on: Defense Meteorological Satellite Program (DMSP) Satellites |
| Scanning Multichannel Microwave Radiometer (SMMR) | Deployed on: NIMBUS 7 Satellite |
| Micro-Wave Radiation Imager 1 (MWRI-1) | Deployed on: FY-3D |
| Micro-Wave Radiation Imager 1 (MWRI-1) | Deployed on: FY-3C |
| Micro-Wave Radiation Imager 1 (MWRI-1) | Deployed on: FY-3B |
Computation Element: 1
| Title | Algorithm for the ESA Soil Moisture Climate Change Initiative, v09.1 |
| Abstract | The ESA Soil Moisture Climate Change Initiative is deriving information on soil moisture from active and passive satellite sensors. For information on the algorithm see the Algorithm Theoretical Baseline Document. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
| Output Description | None |
No variables found.
Temporal Range
1978-11-01T00:00:00
2023-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |