Dataset
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.3
Abstract
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 and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.
The v05.3 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. 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, 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. 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
Details
Previous Info: |
2021-04-19 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.1 data collection. d… Show More 2021-04-19 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.1 data collection. doi: 10.5285/70f40e63092b4f2ab9c9860b7093db00. http://dx.doi.org/10.5285/70f40e63092b4f2ab9c9860b7093db00 Show Less |
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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.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: |
Data are netCDF formatted.
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Related Documents
Process overview
Instrument/Platform pairings
MIRAS | Deployed on: SMOS |
WindSat | Deployed on: Coriolis |
AMSR-2 | Deployed on: GCOM-W (Global Change Observation Mission for Water) |
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 |
ASCAT | Deployed on: Metop-A |
ASCAT | Deployed on: Metop-B |
AMI-SCAT | Deployed on: ERS-1 |
AMI-SCAT | Deployed on: European Remote Sensing satellite 2 - ERS-2 |
SMAP | Deployed on: SMAP |
Mobile platform operations
Mobile Platform Operation 1 | Mobile Platform Operation for: NIMBUS 7 Satellite |
Mobile Platform Operation 2 | Mobile Platform Operation for: Defense Meteorological Satellite Program (DMSP) Satellites |
Mobile Platform Operation 3 | Mobile Platform Operation for: ERS-1 |
Mobile Platform Operation 4 | Mobile Platform Operation for: ERS-2 |
Mobile Platform Operation 5 | Mobile Platform Operation for: Metop-A |
Mobile Platform Operation 6 | Mobile Platform Operation for: Metop-B |
Mobile Platform Operation 7 | Aqua Satellite orbit details |
Mobile Platform Operation 8 | Coriolis Satellite Orbit Details |
Mobile Platform Operation 9 | SMOS satellite orbit details |
Mobile Platform Operation 10 | GCOM-W satellite orbit details |
Mobile Platform Operation 11 | TRMM satellite orbit details |
Computation Element: 1
Title | Algorithm for the ESA Soil Moisture Climate Change Initiative, v06.1 |
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 |
- var_id: dnflag
- long_name: Day / Night Flag
- names: Day / Night Flag
- var_id: flag
- long_name: Flag
- names: Flag
- long_name: Frequency Band Identification
- var_id: freqbandID
- names: Frequency Band Identification
- long_name: Observation Timestamp
- var_id: t0
- names: Observation Timestamp
- long_name: Satellite Mode
- var_id: mode
- names: Satellite Mode
- long_name: Sensor
- var_id: sensor
- names: Sensor
- var_id: sm
- units: m3 m-3
- long_name: Volumetric Soil Moisture
- names: Volumetric Soil Moisture
- var_id: sm_uncertainty
- units: m3 m-3
- long_name: Volumetric Soil Moisture Uncertainty
- names: Volumetric Soil Moisture Uncertainty
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- names: latitude
- units: degrees_east
- standard_name: longitude
- var_id: lon
- names: longitude
- standard_name: time
- var_id: time
- names: time
Temporal Range
1978-11-01T00:00:00
2020-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
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-90.0000° |