Dual assimilation of satellite soil moisture to improve streamflow prediction in data-scarce catchments
Camila Alvarez-Garreton, Dongryeol Ryu, Andrew W Western, Wade T Crow, Chun-Hsu Su, David R Robertson
Water Resources Research | AMER GEOPHYSICAL UNION | Published : 2016
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Awarded by Australian Research Council (ARC)
This research was conducted with financial support from the Australian Research Council (ARC Linkage Project No. LP110200520) and the Bureau of Meteorology, Australia. C. Alvarez-Garreton was supported by a Becas Chile scholarship and by CONICYT/FONDAP/1511000. We are grateful to all who contributed to the data sets used in this study. We thank Chris Leahy and Soori Sooriyakumaran from the Australian Bureau of Meteorology for providing catchment data and gratefully acknowledge their advice. AWAP rainfall data was downloaded from http://www.bom.gov.au/jsp/awap/rain/archive.jsp. AMSR-E data were downloaded from ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/WAOB/LPRM_AMSRE_A_SOILM3.002/ (see also http://gcmd.nasa.gov). ASCAT data can be downloaded from http://hsaf.meteoam.it/soil-moisture.php. The SMOS data were downloaded from http://www.catds.fr/Products/Available-products-from-CPDC. The TMPA data were downloaded from http://disc2.nascom.nasa.gov/opendap/TRMM_L3/TRMM_3B42/. We also thank the anonymous reviewers and associate editor for their comments which have improved the quality of this paper.