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Spatial interpolation schemes of daily precipitation for hydrologic modeling

Dates

Year
2011

Citation

Hwang, Yeonsang, Clark, Martyn, Rajagopalan, Balaji, and Leavesley, George, 2011, Spatial interpolation schemes of daily precipitation for hydrologic modeling: Stochastic Environmental Research and Risk Assessment, v. 26, iss. 2, p. 295-320.

Summary

Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the authors propose a [...]

Contacts

Communities

  • USGS National Research Program

Tags

Provenance

Added to ScienceBase on Fri Apr 19 13:10:51 MDT 2013 by processing file <b>Former Project Precipitation-Runoff Modeling of Watershed Systems.xml</b> in item <a href="https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004">https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004</a>

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1007/s00477-011-0509-1

Citation Extension

journalStochastic Environmental Research and Risk Assessment
parts
typePages
value295-320
typeVolume
value26
typeIssue
value2
citationTypeJournal Article

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