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Dataset

 

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 04.2

Update Frequency: Not Planned
Latest Data Update: 2018-06-15
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-06-25
Download Stats: last 12 months
Dataset Size: 5 Files | 2MB
This dataset has been superseded. See Latest Version here
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

Citable as:  Dorigo, W.; Wagner, W.; Gruber, A.; Scanlon, T.; Hahn, S.; Kidd, R.; Paulik, C.; Reimer, C.; Van der Schalie, R.; De Jeu, R. (2018): ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the "Active", "Passive" and "Combined" products, Version 04.2. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/55bff4add65d489e86c195edbae8f970
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, Ancillary

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

Previously used record identifiers:
No related previous identifiers.
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: http://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.
This dataset forms part of the v04.2 Soil Moisture dataset (doi: 10.5285/3a8a94c3fa464d68b6d70df291afd457 https://doi.org/10.5285/3a8a94c3fa464d68b6d70df291afd457)
Data Quality:
as provided by the CCI Soil Moisture team
File Format:
Data are in NetCDF format

Related Documents

 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 CCI Soil Moisture project website
 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
 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
 Product User Guide
 Product Specification Document (PSD) D1.2.1 Version 4.2
 Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
 Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
 Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 04.2 Executive Summary
 ESA Climate Change Initiative website

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
Coverage
Temporal Range
Start time:
2002-06-30T23:00:00
End time:
2011-10-04T22:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (10)
Publishers (1)