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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 04.5

Update Frequency: Not Planned
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2019-12-19
Download Stats: last 12 months

This dataset has been superseded.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 v04.5 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. 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

Citable as:  Dorigo, W.; Wagner, W.; Gruber, A.; Scanlon, T.; Hahn, S.; Kidd, R.; Paulik, C.; Reimer, C.; Van der Schalie, R.; Preimesberger, W.; Pasik, A.; De Jeu, R. (2019): ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.5. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/4a29dbf40fc3445395d72927700fafe7
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, Ancillary

Details

Previous Info:

2021-03-10 This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.… Show More 2021-03-10 This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644). 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 Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644).

Data Quality:
as provided by the CCI Soil Moisture team
File Format:
Data are netCDF formatted.

Related Documents

 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
 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.
 Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
 Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
 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
 ESA CCI Soil Moisture project website
 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
 CCI Soil Moisture Algorithm Theoretical Baseline Document (ATBD), v4.5
 Product User Guide
 Product Specification Document (PSD) D1.2.1 Version 4.5
 ESA Climate Change Initiative website

Process overview

  • long_name: Cell
  • var_id: cell
  • names: Cell
  • var_id: gpi
  • long_name: Grid point index
  • names: Grid point index
  • long_name: Porosity
  • var_id: porosity
  • units: percent
  • names: Porosity
  • units: %
  • long_name: Topographic Complexity
  • var_id: topographic_complexity
  • names: Topographic Complexity
  • long_name: Vegetation Optical Depth Mean
  • var_id: vod
  • names: Vegetation Optical Depth Mean
  • var_id: wetland_fraction
  • units: %
  • long_name: Wetland Fraction
  • names: Wetland Fraction
  • var_id: crs
  • var_id: land
  • long_name: land
  • names: land
  • long_name: rainforest
  • var_id: rainforest
  • names: rainforest

Co-ordinate Variables

  • standard_name: latitude
  • units: degree_north
  • var_id: lat
  • long_name: Latitude
  • names: latitude, Latitude
  • var_id: lon
  • units: degree_east
  • standard_name: longitude
  • long_name: Longitude
  • names: longitude, Longitude
  • standard_name: latitude
  • var_id: lat
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • names: longitude
Coverage
Temporal Range
Start time:
-
End time:
-
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°