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| Titel |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
| VerfasserIn |
Ch. Jaedicke, A. D. Sandvik |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 2, no. 3/4 ; Nr. 2, no. 3/4, S.147-155 |
| Datensatznummer |
250000274
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| Publikation (Nr.) |
 copernicus.org/nhess-2-147-2002.pdf |
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| Zusammenfassung |
| Blowing snow and snow drifts are common
features in the Arctic. Due to sparse vegetation, low temperatures and
high wind speeds, the snow is constantly moving. This causes severe
problems for transportation and infrastructure in the affected areas. To
minimise the effect of drifting snow already in the designing phase of new
structures, adequate models have to be developed and tested. In this
study, snow distribution in Arctic topography is surveyed in two study
areas during the spring of 1999 and 2000. Snow depth is measured by ground
penetrating radar and manual methods. The study areas encompass four by
four kilometres and are partly glaciated. The results of the surveys show
a clear pattern of erosion, accumulation areas and the evolution of the
snow cover over time. This high resolution data set is valuable for the
validation of numerical models. A simple numerical snow drift model was
used to simulate the measured snow distribution in one of the areas for
the winter of 1998/1999. The model is a two-level drift model coupled to
the wind field, generated by a mesoscale meteorological model. The
simulations are based on five wind fields from the dominating wind
directions. The model produces a satisfying snow distribution but fails to
reproduce the details of the observed snow cover. The results clearly
demonstrate the importance of quality field data to detect and analyse
errors in numerical simulations. |
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