Dataset
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 02.2
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) 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 'Passive' product is a fusion of radiometer data acquired by the SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.
The v02.2 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 covers the period 1991-08-05 to 2014-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. 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. Liu, Y. Y., W. A. Dorigo, et al. (2012). "Trend-preserving blending of passive and active microwave soil moisture retrievals." Remote Sensing of Environment 123: 280-297.
2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436
3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321
Details
| Previous Info: |
2018-06-29 This dataset forms part of the v02.2 Soil Moisture dataset (doi:10.5285/3729b3fbbb434930bf65d82f9b00111c. http://dx.doi.org/10.… Show More 2018-06-29 This dataset forms part of the v02.2 Soil Moisture dataset (doi:10.5285/3729b3fbbb434930bf65d82f9b00111c. http://dx.doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c ) Show Less |
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| Previously used record identifiers: |
No related previous identifiers.
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| 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. |
| File Format: |
Data is in NetCDF -4
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Related Documents
Process overview
- long_name: Day(100) or Night(110) Flag
- var_id: dnflag
- var_id: flag
- long_name: Flag
- long_name: Frequency Band
- var_id: freqband
- long_name: Observation Timestamp
- var_id: t0
- units: percent
- var_id: sm
- long_name: Percent of Saturation Soil Moisture
- units: percent
- long_name: Percent of Saturation Soil Moisture Uncertainty
- var_id: sm_uncertainty
- long_name: Satellite Mode
- var_id: mode
- long_name: Sensor
- var_id: sensor
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
Temporal Range
1991-01-01T00:00:00
2013-12-31T00:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |