Journal article
Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia
CH Su, J Zhang, A Gruber, R Parinussa, D Ryu, WT Crow, W Wagner
Remote Sensing of Environment | ELSEVIER SCIENCE INC | Published : 2016
Abstract
Soil moisture is one of the essential climate variables for the Global Climate Observing System (GCOS) that has been prioritized by the ESA's Climate Change Initiative to construct its homogeneous long-term climate record. This requires a consistent characterization of the error structures in the individual data sets, which vary due to changes in instrument configuration and calibration, and retrieval algorithm design. In this paper, the random error and systematic differences in nine passive and active microwave satellite soil moisture products over Australia (time coverage: 1978-present) are estimated in a same manner for SM components at subseasonal and seasonal-to-interannual timescales ..
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Funding Acknowledgements
This research was supported under The University of Melbourne's Early Career Researcher Grant Scheme. We thank our colleagues at Vienna University of Technology (TU-Wien) involved in the pre-processing of the LPRM and active satellite SM products. The LPRM products were produced by Richard de Jeu and colleagues at Vrije University Amsterdam and NASA. The SMOS level 3 data were produced by Centre Aval de Traitement des Donnees SMOS (CATDS), operated for the Centre National d'Etudes Spatiales (CNES, France) by IFREMER (Brest, France). The active data sets were produced by TU-Wien within the framework of EUMETSAT's Satellite Application Facility on Support of Operational Hydrology and Water Management. The MERRA-L data set was produced by NASA Global Modeling and Assimilation Office (GMAO) and made available via Goddard Earth Sciences Data and Information Services Center (GES DISC).