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| Titel |
Dynamical properties of the spatial distribution of snow |
| VerfasserIn |
T. Skaugen, S. Beldring, H.-C. Udnæs |
| 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 ; 7, no. 5 ; Nr. 7, no. 5, S.744-753 |
| Datensatznummer |
250004793
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| Publikation (Nr.) |
 copernicus.org/hess-7-744-2003.pdf |
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| Zusammenfassung |
| A simulation exercise has been performed to study the temporal development of
snow covered area and the spatial distribution of snow-water equivalent (SWE). Special
consideration has been paid to how the properties of the spatial statistical distribution
of SWE change as a response to accumulation and ablation events. A distributed
rainfall-runoff model at resolution 1 x 1 km2 has been run with time series of
precipitation and temperature fields of the same spatial resolution derived from the
atmospheric model HIRLAM. The precipitation fields are disaggregated and the temperature
fields are interpolated. Time series of the spatial distribution of snow-water equivalent
and snow-covered area for three seasons for a catchment in Norway is generated. The
catchment is of size 3085 km2 and two rectangular sub-areas of
484 km2 are located within the larger catchment. The results show that the
shape of the spatial distribution of SWE for all three areas changes during winter. The
distribution is very skewed at the start of the accumulation season but then the skew
decreases and, as the ablation season sets in, the spatial distribution again becomes more
skewed with a maximum near the end of the ablation season. For one of the sub-areas, a
consistently more skewed distribution of SWE is found, related to higher variability in
precipitation. This indicates that observed differences in the spatial distribution of
snow between alpine and forested areas can result from differences in the spatial
variability of precipitation. The results obtained from the simulation exercise are
consistent with modelling the spatial distribution of SWE as summations of a gamma
distributed variable.
Keywords: Snow, SWE, spatial distribution, simulated hydrometeorological fields |
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