Dual assimilation of satellite soil moisture to improve streamflow prediction in data-scarce catchments

C Alvarez-Garreton; D Ryu; AW Western; WT Crow; CH Su; DR Robertson

Journal article

Dual assimilation of satellite soil moisture to improve streamflow prediction in data-scarce catchments

C Alvarez-Garreton, D Ryu, AW Western, WT Crow, CH Su, DR Robertson

Water Resources Research | AMER GEOPHYSICAL UNION | Published : 2016

DOI: 10.1002/2015WR018429

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Abstract

This paper explores the use of active and passive microwave satellite soil moisture products for improving streamflow prediction within four large (>5000km2) semiarid catchments in Australia. We use the probability distributed model (PDM) under a data-scarce scenario and aim at correcting two key controlling factors in the streamflow generation: the rainfall forcing data and the catchment wetness condition. The soil moisture analysis rainfall tool (SMART) is used to correct a near real-time satellite rainfall product (forcing correction scheme) and an ensemble Kalman filter is used to correct the PDM soil moisture state (state correction scheme). These two schemes are combined in a dual corr..

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University of Melbourne Researchers

Dongryeol Ryu Author

Andrew Western Author

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Grants

Awarded by Australian Research Council (ARC)

Awarded by Australian Research Council

Funding Acknowledgements

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.