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| Titel |
Hydrological effects of the temporal variability of the multiscaling of snowfall on the Canadian prairies |
| VerfasserIn |
K. R. Shook, J. W. Pomeroy |
| 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. 7 ; Nr. 14, no. 7 (2010-07-08), S.1195-1203 |
| Datensatznummer |
250012363
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| Publikation (Nr.) |
 copernicus.org/hess-14-1195-2010.pdf |
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| Zusammenfassung |
| Daily historical snowfall data were analysed with the objective of
determining the stability of their variability at short temporal scales.
The data are weakly multifractal over periods shorter than one month,
which controls their scaling properties and which can be used to statistically
downscale monthly data to shorter-duration values. Although the daily
snowfall values appear to be stationary, their multifractality displays
much temporal variability, with most sites showing statistically-significant
trends. Through use of a physically-based hydrological model, it is
demonstrated that the variability of the multiscaling of snowfall
can affect the timing and quantity of snow accumulation in catchments
where the snowpacks are subject to wind redistribution. Therefore
trends in scaling, based on multifractal characteristics, should be
taken into account when downscaling climate model scenario outputs. |
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