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| Titel |
Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region |
| VerfasserIn |
M. Akhtar, N. Ahmad, M. J. Booij |
| 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. 7 ; Nr. 13, no. 7 (2009-07-09), S.1075-1089 |
| Datensatznummer |
250011931
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| Publikation (Nr.) |
 copernicus.org/hess-13-1075-2009.pdf |
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| Zusammenfassung |
| The most important climatological inputs required for the calibration and
validation of hydrological models are temperature and precipitation that can
be derived from observational records or alternatively from regional climate
models (RCMs). In this paper, meteorological station observations and
results of the PRECIS (Providing REgional Climate for Impact Studies) RCM
driven by the outputs of reanalysis ERA 40 data and HadAM3P general
circulation model (GCM) results are used as input in the hydrological model.
The objective is to investigate the effect of precipitation and temperature
simulated with the PRECIS RCM nested in these two data sets on discharge
simulated with the HBV model for three river basins in the
Hindukush-Karakorum-Himalaya (HKH) region. Six HBV model experiments are
designed: HBV-Met, HBV-ERA and HBV-Had, HBV-MetCRU-corrected,
HBV-ERABenchmark and HBV-HadBenchmark where HBV is driven by
meteorological stations data, data from PRECIS nested in ERA-40 and HadAM3P,
meteorological stations CRU corrected data, ERA-40 reanalysis and HadAM3P
GCM data, respectively. Present day PRECIS simulations possess strong
capacity to simulate spatial patterns of present day climate
characteristics. However, also some quantitative biases exist in the HKH
region, where PRECIS RCM simulations underestimate temperature and
overestimate precipitation with respect to CRU observations. The calibration
and validation results of the HBV model experiments show that the
performance of HBV-Met is better than the HBV models driven by other data
sources. However, using input data series from sources different from the
data used in the model calibration shows that HBV-Had is more efficient than
other models and HBV-Met has the least absolute relative error with respect
to all other models. The uncertainties are higher in least efficient models
(i.e. HBV-MetCRU-corrected and HBV-ERABenchmark) where the model
parameters are also unrealistic. In terms of both robustness and uncertainty
ranges the HBV models calibrated with PRECIS output performed better than
other calibrated models except for HBV-Met which has shown a higher
robustness. This suggests that in data sparse regions such as the HKH region
data from regional climate models may be used as input in hydrological
models for climate scenarios studies. |
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