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| Titel |
Development of a window correlation matching method for improved radar rainfall estimation |
| VerfasserIn |
T. Piman, M. S. Babel, A. Das Gupta, S. Weesakul |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 11, no. 4 ; Nr. 11, no. 4 (2007-06-07), S.1361-1372 |
| Datensatznummer |
250009391
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| Publikation (Nr.) |
 copernicus.org/hess-11-1361-2007.pdf |
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| Zusammenfassung |
| The present study develops a method called window correlation matching
method (WCMM) to reduce collocation and timing errors in matching pairs of
radar measured reflectivity, Ze, and gauge measured rainfall intensity,
R, for improving the accuracy of the estimation of Ze−R relationships. This
method was compared with the traditional matching method (TMM), the
probability matching method (PMM) and the window probability matching method
(WPMM). The calibrated relationship Ze=18.05 R1.45 obtained from
7×7 km of space window and both present and 5 min previous time of radar
observation for time window (S77T5) produces the best results for radar
rainfall estimates for orographic rain over the Mae Chaem Watershed in the
north of Thailand. The comparison shows that the Ze−R relationship
obtained from WCMM provide more accuracy in radar rainfall estimates as
compared with the other three methods. The Ze−R relationships estimated
using TMM and PMM provide large overestimation and underestimation,
respectively, of mean areal rainfall whereas WPMM slightly underestimated
the mean areal rainfall. Based on the overall results, it can be concluded
that WCMM can reduce collocation and timing errors in Ze−R pairs matching
and improve the estimation of Ze−R relationships for radar rainfall. WCMM
is therefore a promising method for improved radar-measured rainfall, which
is an important input for hydrological and environmental modeling and water
resources management. |
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