This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 
Back to search...

Dataset

 
Old European Space Agency (ESA) Logo

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Combined' Product, Version 04.2

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-06-25
Download Stats: last 12 months

Abstract

The Soil Moisture CCI 'Combined' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging the "Active" and "Passive" datasets which were created for the project, these being respectively 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.

The v04.2 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 2016-12-31. 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 web site or within the Product Specification Document.

The data set 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): 'Combined' Product, Version 04.2. Centre for Environmental Data Analysis, date of citation. http://catalogue.ceda.ac.uk/uuid/0869e3b34fa4465a911e2588396ff1ec
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, Combined

Details

Previous Info:

2018-06-29 This dataset forms part of the v04.2 Soil Moisture dataset (doi: 10.5285/3a8a94c3fa464d68b6d70df291afd457 https://doi.org/10.5285/3a8a94c3fa464d68b6d70df291afd457) Show Less

Previously used record identifiers:
No releated 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://licences.ceda.ac.uk/image/data_access_condition/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

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

Process overview

  • long_name: Day / Night Flag
  • var_id: dnflag
  • 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
  • var_id: mode
  • long_name: Satellite Mode
  • names: Satellite Mode
  • long_name: Sensor
  • var_id: sensor
  • names: Sensor
  • units: m3 m-3
  • long_name: Volumetric Soil Moisture
  • var_id: sm
  • names: Volumetric Soil Moisture
  • units: m3 m-3
  • long_name: Volumetric Soil Moisture Uncertainty
  • var_id: sm_uncertainty
  • names: Volumetric Soil Moisture Uncertainty

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1978-11-01T00:00:00
End time:
2016-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°