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| Titel |
Modelling of monsoon rainfall for a mesoscale catchment in North-West India II: stochastic rainfall simulations |
| VerfasserIn |
E. Zehe, A. K. Singh, A. Bárdossy |
| 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 ; 10, no. 6 ; Nr. 10, no. 6 (2006-10-30), S.807-815 |
| Datensatznummer |
250008284
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| Publikation (Nr.) |
 copernicus.org/hess-10-807-2006.pdf |
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| Zusammenfassung |
| Within this study we present a robust method for generating precipitation
time series for the Anas catchment in North Western India. The method employs
a multivariate stochastic simulation model that is driven by a time series of
objectively classified circulation patterns (CPs). In a companion study (Zehe
et al., 2006) it was already shown that CPs classified from the 500 or
700 Hpa levels are suitable to explain space-time variability of
precipitation in that area. The model is calibrated using observed rainfall
time series for the period 1985–1992 for two different CP time series, one from
the 500 Hpa level and the over from the 700 Hpa level, and 200 realizations
of daily rainfall are simulated for the period 85–94. Simulations using the
CPs from the 500 Hpa level as input yield a good match of the observed
averages and standard deviations of daily rainfall. They show furthermore
good performance at the monthly scale. When used with the 700 Hpa level CPs
as inputs the model clearly underestimates the standard deviation and
performs much worse at the monthly scale, especially in the validation period
93–94. The presented results give evidence that CPs from the 500 Hpa, level
in combination with a multivariate stochastic model, make up a suitable tool
for reducing the sparsity of precipitation data in developing regions with
sparse hydro-meteorological data sets. |
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