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| Titel |
Discharge simulations performed with a hydrological model using bias corrected regional climate model input |
| VerfasserIn |
S. C. Pelt, P. Kabat, H. W. Maat, B. J. J. M. Hurk, A. H. Weerts |
| 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 ; 13, no. 12 ; Nr. 13, no. 12 (2009-12-11), S.2387-2397 |
| Datensatznummer |
250012072
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| Publikation (Nr.) |
 copernicus.org/hess-13-2387-2009.pdf |
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| Zusammenfassung |
| Studies have demonstrated that precipitation on Northern Hemisphere
mid-latitudes has increased in the last decades and that it is likely that
this trend will continue. This will have an influence on discharge of the
river Meuse. The use of bias correction methods is important when the effect
of precipitation change on river discharge is studied. The objective of this
paper is to investigate the effect of using two different bias correction
methods on output from a Regional Climate Model (RCM) simulation. In this
study a Regional Atmospheric Climate Model (RACMO2) run is used, forced by
ECHAM5/MPIOM under the condition of the SRES-A1B emission scenario, with a
25 km horizontal resolution. The RACMO2 runs contain a systematic
precipitation bias on which two bias correction methods are applied. The
first method corrects for the wet day fraction and wet day average (WD bias
correction) and the second method corrects for the mean and coefficient of
variance (MV bias correction). The WD bias correction initially corrects
well for the average, but it appears that too many successive precipitation
days were removed with this correction. The second method performed less
well on average bias correction, but the temporal precipitation pattern was
better. Subsequently, the discharge was calculated by using RACMO2 output as
forcing to the HBV-96 hydrological model. A large difference was found
between the simulated discharge of the uncorrected RACMO2 run, the WD bias
corrected run and the MV bias corrected run. These results show the
importance of an appropriate bias correction. |
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