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HESS | Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1371–1389, 2018
https://doi.org/10.5194/hess-22-1371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 22, 1371–1389, 2018
https://doi.org/10.5194/hess-22-1371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Feb 2018

Research article | 26 Feb 2018

A nonparametric statistical technique for combining global precipitation datasets: development and hydrological evaluation over the Iberian Peninsula

Md Abul Ehsan Bhuiyan et al.
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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, 2001. 
AghaKouchak, A., Nasrollahi, N., and Habib, E.: Accounting for uncertainties of the TRMM Satellite Estimates, Remote Sens., 1, 606–619, 2009. 
Álvarez, J., Sánchez, A., and Quintas, L.: SIMPA, a GRASS based tool for hydrological studies, in: Proceedings of the FOSS/GRASS Users Conference, Bangkok, Thailand, 2004. 
Bhuiyan, M. A. E., Anagnostou, E. N, and Kirstetter, P. E.: A nonparametric statistical technique for modeling overland TMI (2A12) rainfall retrieval error, IEEE Geosci. Remote S., 14, 1898–1902, 2017. 
Bitew, M. M. and Gebremichael, M.: Evaluation of satellite rainfall products through hydrologic simulation in a fully distributed hydrologic model, Water Resour. Res., 47, W06526, https://doi.org/10.1029/2010WR009917, 2011. 
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This study investigates the use of a nonparametric model for combining multiple global precipitation datasets and characterizing estimation uncertainty. Inputs to the model included three satellite precipitation products, an atmospheric reanalysis precipitation dataset, satellite-derived near-surface daily soil moisture data, and terrain elevation. We evaluated the technique based on high-resolution reference precipitation data and further used generated ensembles to force a hydrological model.
This study investigates the use of a nonparametric model for combining multiple global...
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