Articles | Volume 18, issue 12
Research article
11 Dec 2014
Research article |  | 11 Dec 2014

Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications

H. Seyyedi, E. N. Anagnostou, E. Beighley, and J. McCollum

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Cited articles

Adler, R. F., Kidd, C., Petty, G., Morissey, M., and Goodman, H. M.: Intercomparison of Global Precipitation Products: The Third Precipitation Intercomparison Project (PIP–3), B. Am. Meteorol. Soc., 82, 1377–1396,<1377:IOGPPT>2.3.CO;2, 2001.
AghaKouchak, A., Nasrollahi, N., and Habib, E.: Accounting for Uncertainties of the TRMM Satellite Estimates, Remote Sens., 1, 606–619, 2009.
AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E.: Evaluation of satellite-retrieved extreme precipitation rates across the central United States, J. Geophys. Res.-Atmos., 116, D02115,, 2011.
Bastola, S. and Misra, V.: Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application, Hydrol. Process., 28, 1989–2002,, 2014.
Behrangi, A., Khakbaz, B., Jaw, T. C., AghaKouchak, A., Hsu, K., and Sorooshian, S.: Hydrologic evaluation of satellite precipitation products over a mid-size basin, J. Hydrol., 397, 225–237,, 2011.
Short summary
The paper presents a methodology for using global precipitation products from satellite remote sensing to error-correct and downscale global atmospheric reanalysis precipitation data sets. It is shown that streamflow simulations from the satellite-adjusted precipitation reanalysis give similar statistics to the ones derived by high-resolution ground-based radar rainfall data sets. This approach can be applied globally to derive improved flood frequency maps over data-poor areas.