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Titel |
Assessment of data uncertainty and plausibility over the Nam Co Region, Tibet |
VerfasserIn |
S. Biskop, P. Krause, J. Helmschrot, M. Fink, W.-A. Flügel |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7340
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Digitales Dokument |
URL |
Erschienen |
In: Proceedings of the 14th Workshop on Large-scale Hydrological Modelling ; Nr. 31 (2012-07-27), S.57-65 |
Datensatznummer |
250017310
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Publikation (Nr.) |
copernicus.org/adgeo-31-57-2012.pdf |
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Zusammenfassung |
One of the major challenges for water balance studies in the remote and
mostly ungauged region of the Tibetan Plateau is the lack of suitable and
reliable climate data to drive hydrological models. Ground observations are
rare in the high-mountainous region of the Nam Co basin and only global and
regional gridded climate products are available as model input data, but
these data sets need to be carefully analysed if used as driving force for
hydrological modelling. In this study, various global and regional gridded
data products for temperature and precipitation were compared to assess
spatio-temporal deviations between several data sets. For the comparison
absolute and relative differences of annual and seasonal long-term means
were calculated. Climatic trends were analysed by using the non-parametric
Mann-Kendall trend test. In addition, gridded climate data sets were
compared to meteorological observations in order to evaluate their
plausibility. The comparative statistical analysis showed significant
differences in the magnitude, the seasonality, the spatial pattern and the
trend behaviour of the analysed climate variables, in particular for
precipitation data. The identified inconsistencies underpin the necessity to
quantify the uncertainty of such climate data. Moreover, the presented study
highlights the importance of further research efforts to develop regional
climate data sets with finer resolutions to reduce the model's uncertainty
resulting from climate input data. Such higher resolution is needed for a
sufficient representation of regional topographic and orographic effects in
order to simulate important hydrological processes in mountainous areas like
snow accumulation and melting. |
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