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| Titel |
Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data |
| VerfasserIn |
M. Shrestha, L. Wang, T. Koike, H. Tsutsui, Y. Xue, Y. Hirabayashi |
| 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 ; 18, no. 2 ; Nr. 18, no. 2 (2014-02-21), S.747-761 |
| Datensatznummer |
250120288
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| Publikation (Nr.) |
 copernicus.org/hess-18-747-2014.pdf |
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| Zusammenfassung |
| Adequate estimation of the spatial distribution of snowfall is critical in
hydrologic modelling. However, this is a well-known problem in estimating
basin-scale snowfall, especially in mountainous basins with data scarcity.
This study focuses on correction and estimation of this spatial
distribution, which considers topographic effects within the basin. A method
is proposed that optimises an altitude-based snowfall correction factor
(Cfsnow). This is done through multi-objective calibration of a spatially
distributed, multilayer energy and water balance-based snowmelt model
(WEB-DHM-S) with observed discharge and remotely sensed snow cover data from
the Moderate Resolution Imaging Spectroradiometer (MODIS). The Shuffled
Complex Evolution–University of Arizona (SCE–UA) automatic search algorithm is
used to obtain the optimal value of Cfsnow for minimum cumulative error
in discharge and snow cover simulations. Discharge error is quantified by
Nash–Sutcliffe efficiency and relative volume deviation, and snow cover
error was estimated by pixel-by-pixel analysis. The study region is the
heavily snow-fed Yagisawa Basin of the Upper Tone River in northeast Japan.
First, the system was applied to one snow season (2002–2003), obtaining an
optimised Cfsnow of 0.0007 m−1. For validation purposes, the
optimised Cfsnow was implemented to correct snowfall in 2004,
2002 and 2001. Overall, the system was effective, implying improvements in
correlation of simulated versus observed discharge and snow cover. The
4 yr mean of basin-average snowfall for the corrected spatial snowfall
distribution was 1160 mm (780 mm before correction). Execution of
sensitivity runs against other model input and parameters indicated that
Cfsnow could be affected by uncertainty in shortwave radiation and
setting of the threshold air temperature parameter. Our approach is suitable
to correct snowfall and estimate its distribution in poorly gauged basins,
where elevation dependence of snowfall amount is strong. |
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