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Dataset

 

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.3

Update Frequency: Not Planned
Latest Data Update: 2021-02-25
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-03-18
Download Stats: last 12 months
Dataset Size: 10.74K Files | 8GB

This dataset has been superseded. See Latest Version here
Abstract

The Soil Moisture CCI ACTIVE 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 fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.

The v05.3 ACTIVE 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 percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. 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 website.

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.; 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. (2021): ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.3. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/1da8dadcdfb642f4aad2384f02efe756/
Abbreviation: Not defined
Keywords: ESA, Soil Moisture, CCI, Active

Details

Previous Info:

2021-04-19 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.1 data collection. d… Show More 2021-04-19 This dataset forms part of the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.1 data collection. doi: 10.5285/70f40e63092b4f2ab9c9860b7093db00. http://dx.doi.org/10.5285/70f40e63092b4f2ab9c9860b7093db00 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 netCDF formatted.

Process overview

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

Instrument/Platform pairings

ASCAT Deployed on: Metop-A
ASCAT Deployed on: Metop-B
AMI-SCAT Deployed on: ERS-1
AMI-SCAT Deployed on: European Remote Sensing satellite 2 - ERS-2

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: ERS-1
Mobile Platform Operation 2 Mobile Platform Operation for: ERS-2
Mobile Platform Operation 3 Mobile Platform Operation for: Metop-A
Mobile Platform Operation 4 Mobile Platform Operation for: Metop-B

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
  • 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
  • units: percent
  • var_id: sm
  • long_name: Percent of Saturation Soil Moisture
  • names: Percent of Saturation Soil Moisture
  • units: percent
  • long_name: Percent of Saturation Soil Moisture Uncertainty
  • var_id: sm_uncertainty
  • names: Percent of Saturation Soil Moisture Uncertainty
  • long_name: Satellite Mode
  • var_id: mode
  • names: Satellite Mode
  • long_name: Sensor
  • var_id: sensor
  • names: Sensor

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1991-08-05T00:00:00
End time:
2020-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°