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| Titel |
Prediction of snowmelt derived streamflow in a wetland dominated prairie basin |
| VerfasserIn |
X. Fang, J. W. Pomeroy, C. J. Westbrook, X. Guo, A. G. Minke, T. Brown |
| 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 ; 14, no. 6 ; Nr. 14, no. 6 (2010-06-22), S.991-1006 |
| Datensatznummer |
250012338
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| Publikation (Nr.) |
 copernicus.org/hess-14-991-2010.pdf |
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| Zusammenfassung |
| The Cold Regions Hydrological Modelling platform (CRHM) was used to create a
prairie hydrological model for Smith Creek Research Basin (~400 km2), east-central Saskatchewan, Canada. Physically based modules were
sequentially linked in CRHM to simulate snow processes, frozen soils,
variable contributing area and wetland storage and runoff generation. Five
"representative basins" (RBs) were defined and each was divided into seven
hydrological response units (HRUs): fallow, stubble, grassland, river
channel, open water, woodland, and wetland. Model parameters were estimated
using field survey data, LiDAR digital elevation model (DEM), SPOT 5
satellite imageries, stream network and wetland inventory GIS data. Model
simulations were conducted for 2007/2008 and 2008/2009. No calibration was
performed. The model performance in predicting snowpack, soil moisture and
streamflow was evaluated against field observations. Root mean square
differences (RMSD) between simulation and observations ranged from 1.7 to
25.2 mm and from 4.3 to 22.4 mm for the simulated snow accumulation in
2007/2008 and 2008/2009, respectively, with higher RMSD in grassland, river
channel, and open water HRUs. Spring volumetric soil moisture was reasonably
predicted compared to a point observation in a grassland area, with RMSD of
0.011 and 0.009 for 2008 and 2009 simulations, respectively. The model was
able to capture the timing and magnitude of peak spring basin discharge, but
it underestimated the cumulative volume of basin discharge by 32% and
56% in spring 2008 and 2009, respectively. The results suggest prediction
of Canadian Prairie basin snow hydrology is possible with no calibration if
physically based models are used with physically meaningful model parameters
that are derived from high resolution geospatial data. |
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