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

Dataset

 

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, 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Status: Superseded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This dataset has been superseded.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

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) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 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 v04.5 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 2018-12-31. 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. 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): COMBINED Product, Version 04.5. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/34090d316d514b55b7080a4181a28f8f
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, COMBINED

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

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 Mobile Platform Operation for: ERS-1
Mobile Platform Operation 4 Mobile Platform Operation for: ERS-2
Mobile Platform Operation 5 Mobile Platform Operation for: Metop-A
Mobile Platform Operation 6 Mobile Platform Operation for: Metop-B
Mobile Platform Operation 7 Aqua Satellite orbit details
Mobile Platform Operation 8 Coriolis Satellite Orbit Details
Mobile Platform Operation 9 SMOS satellite orbit details
Mobile Platform Operation 10 GCOM-W satellite orbit details
Mobile Platform Operation 11 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
  • 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:
2018-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°