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Dataset

 

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.7

Update Frequency: Not Planned
Latest Data Update: 2020-03-26
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2020-04-17
Download Stats: last 12 months
Dataset Size: 15.04K Files | 12GB
This dataset has been superseded. See Latest Version here
Abstract

The Soil Moisture CCI PASSIVE 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 merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.

The v04.7 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. 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. 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.; Preimesberger, W.; Pasik, A.; Moesinger, L.; Van der Schalie, R.; Hahn, S.; Scanlon, T.; Wagner, W.; Gruber, A.; Kidd, R.; Paulik, C.; Reimer, C.; De Jeu, R. (2020): ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.7. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/ccc69467a0c74adbaada8c55b970ca19/
Abbreviation: Not defined
Keywords: ESA, CCI, PASSIVE

Details

Previous Info:

2020-04-20 This dataset forms part of the v04.7 Soil Moisture dataset (doi:10.5285/0683e320d8634a37aa1d9ef62dd41a0d) https://dx.doi.org/1… Show More 2020-04-20 This dataset forms part of the v04.7 Soil Moisture dataset (doi:10.5285/0683e320d8634a37aa1d9ef62dd41a0d) https://dx.doi.org/10.5285/0683e320d8634a37aa1d9ef62dd41a0d 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(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. This dataset forms part of the v04.7 Soil Moisture dataset (doi:10.5285/0683e320d8634a37aa1d9ef62dd41a0d) https://dx.doi.org/10.5285/0683e320d8634a37aa1d9ef62dd41a0d .
Data Quality:
as provided by the CCI Soil Moisture team
File Format:
Data are netCDF formatted.

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
 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
 Product Specification Document (PSD) D1.2.1 Version 4.7
 Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
 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
 Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
 Product User Guide
 CCI Soil Moisture Algorithm Theoretical Baseline Document (ATBD), v4.7
 ESA CCI Soil Moisture project website
 ESA Climate Change Initiative website

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

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 Aqua Satellite orbit details
Mobile Platform Operation 4 Coriolis Satellite Orbit Details
Mobile Platform Operation 5 SMOS satellite orbit details
Mobile Platform Operation 6 GCOM-W satellite orbit details
Mobile Platform Operation 7 TRMM satellite orbit details

Computation Element: 1

Title Algorithm for the ESA Soil Moisture Climate Change Initiative
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 Documents.
Input Description None
Output Description None
Software Reference None
Output Description

None
  • var_id: dnflag
  • long_name: Day / Night Flag
  • var_id: flag
  • long_name: Flag
  • long_name: Frequency Band Identification
  • var_id: freqbandID
  • long_name: Observation Timestamp
  • var_id: t0
  • long_name: Satellite Mode
  • var_id: mode
  • long_name: Sensor
  • var_id: sensor
  • var_id: sm
  • units: m3 m-3
  • long_name: Volumetric Soil Moisture
  • var_id: sm_uncertainty
  • units: m3 m-3
  • long_name: Volumetric Soil Moisture Uncertainty

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • standard_name: time
  • var_id: time
Coverage
Temporal Range
Start time:
1978-11-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (13)
Publishers (1)