TECHNICAL PAPERS
Jul 1, 2008

Evaluating NEXRAD Estimates for the Missouri River Basin: Analysis Using Daily Raingauge Data

Publication: Journal of Hydrologic Engineering
Volume 13, Issue 7

Abstract

This paper presents an evaluation of next generation weather radar (NEXRAD) Stage III and MPE precipitation estimates for the Missouri River Basin River Forecast Center (MBRFC) using daily gauge data from the National Weather Service cooperative network. This gauge network is independent of data used to develop the NEXRAD operational products, and, thus, provides an independent assessment of NEXRAD error characteristics. NEXRAD bias, correlation, and percent detection are mapped across the MBRFC to demonstrate the spatial distribution of NEXRAD errors. In general terms, the NEXRAD estimates perform much better in the southeastern portion of the basin than they do in the central and mountainous areas. Although the overall NEXRAD-gauge statistics appear to be worse than those reported in other published studies, the results of this study show marked improvement in NEXRAD estimates of warm season precipitation over the eight-year study period.

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Acknowledgments

This work was funded in part by the Kansas Department of Transportation through the K-TRAN Cooperative Transportation Research Program. This support is greatly appreciated.

References

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Johnson, D., Smith, M., Koren, V., and Finnerty, B. (1999). “Comparing mean areal precipitation estimates from NEXRAD and rain gauge networks.” J. Hydrol. Eng., 4(2), 117–124.
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Information & Authors

Information

Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 13Issue 7July 2008
Pages: 549 - 553

History

Received: Jun 12, 2006
Accepted: Sep 18, 2007
Published online: Jul 1, 2008
Published in print: Jul 2008

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Authors

Affiliations

C. B. Young, A.M.ASCE
Associate Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., Rm. 2150, Lawrence, KS 66045. E-mail: [email protected]
N. A. Brunsell
Assistant Professor, Dept. of Geography, Univ. of Kansas, Lawrence, KS 66045. E-mail: [email protected]

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