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| Titel |
Numerical modelling of snow and frozen soil processes for a multi-layer atmosphere-soil-vegetation model |
| VerfasserIn |
Genki Katata, Matthias Mauder |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250096927
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| Publikation (Nr.) |
 EGU/EGU2014-12461.pdf |
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| Zusammenfassung |
| Snowcover plays an important role in Earth’s climate system because of its high
albedo, low thermal conductivity, roughness length, and ability to store water. A
sophisticated process-based snow model is useful for representing the complex snow
physics. In the present study, an existing multi-layer atmosphere-SOiL-VEGetation
model (SOLVEG) developed by the authors was modified to simulate snow and
frozen soil processes. The schemes of a multi-layer snow structure for heat and
liquid water transports in snow and freeze-thaw processes of soil moisture were
incorporated into the model. In the snow scheme, the liquid water transfer in snow was
modeled based on the processes of both capillary rise and gravitational drainage in
order to accurately simulate water movement in unsaturated snow. The performance
of the modified model was tested at the pre-alpine grassland site in TERestrial
ENvironmental Observatories (TERENO) networks in Germany. The modified model
overall reproduced the temporal changes in observations of surface energy fluxes,
albedo, snow depth and surface temperature, and soil temperature and moisture.
The measured increases of soil water content due to infiltration of melted snow
to the soil were simulated by the modified model. The observed large negative
sensible and positive latent heat fluxes associated with the typical south foehn, a
warm and dry downslope wind of the Alps, were also reproduced in the simulation. |
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