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 06.2

Update Frequency: Not Planned
Latest Data Update: 2023-02-07
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-03-10
Download Stats: last 12 months
Dataset Size: 15.77K Files | 18GB

This dataset has been superseded. See Latest Version here
Abstract

The Soil Moisture CCI COMBINED 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 directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.

The v06.2 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 2021-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.

The data set should be cited using 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

Citable as:  Dorigo, W.; Preimesberger, W.; Moesinger, L.; Pasik, A.; Scanlon, T.; Hahn, S.; Van der Schalie, R.; Van der Vliet, M.; De Jeu, R.; Kidd, R.; Rodriguez-Fernandez, N.; Hirschi, M. (2023): ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.2. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/e83e62dd493447c5808f80c36b5acac7/
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, Combined

Details

Previous Info:

2023-05-04 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.2 data collection. d… Show More 2023-05-04 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.2 data collection. doi:10.5285/3ff7ae723d3542bab6525207a9092e2b. https://dx.doi.org/10.5285/3ff7ae723d3542bab6525207a9092e2b 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

Data Quality:
See the Soil Moisture CCI documentation for information on data quality
File Format:
Data are in NetCDF format.

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, v06.1
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 Document.
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
  • units: days
  • 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
  • units: days
Coverage
Temporal Range
Start time:
1978-11-01T00:00:00
End time:
2021-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°