Dataset
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 04.2
Abstract
These ancillary datasets were used in the production of the "Active", "Passive" and "Combined" soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.2 Soil Moisture CCI data.
The "Active" "Passive" and "Combined" soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.
Soil moisture CCI data should be cited using all three of the following references:
1. 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
2. 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
3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
Details
| Previous Info: |
2018-06-29 This dataset forms part of the v04.2 Soil Moisture dataset (doi: 10.5285/3a8a94c3fa464d68b6d70df291afd457 https://doi.org/10.52… Show More 2018-06-29 This dataset forms part of the v04.2 Soil Moisture dataset (doi: 10.5285/3a8a94c3fa464d68b6d70df291afd457 https://doi.org/10.5285/3a8a94c3fa464d68b6d70df291afd457) 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: |
as provided by the CCI Soil Moisture team
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| File Format: |
Data are in NetCDF format
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Related Documents
Process overview
- long_name: Cell
- var_id: cell
- units:
- long_name: Grid point index
- var_id: gpi
- units:
- units: %
- long_name: Topographic Complexity
- var_id: topographic_complexity
- long_name: Vegetation Optical Depth Mean
- var_id: vod
- units: %
- long_name: Wetland Fraction
- var_id: wetland_fraction
- var_id: crs
- var_id: land
- long_name: land
- units:
- long_name: rainforest
- var_id: rainforest
- units:
Co-ordinate Variables
- units: degree_north
- standard_name: latitude
- var_id: lat
- long_name: Latitude
- units: degree_east
- standard_name: longitude
- var_id: lon
- long_name: Longitude
- units: degrees_north
- standard_name: latitude
- var_id: lat
- units: degrees_east
- standard_name: longitude
- var_id: lon
Temporal Range
2002-06-30T23:00:00
2011-10-04T22:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |