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| Titel |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
| VerfasserIn |
J. Fiddes, S. Endrizzi, S. Gruber |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 9, no. 1 ; Nr. 9, no. 1 (2015-02-24), S.411-426 |
| Datensatznummer |
250116759
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| Publikation (Nr.) |
 copernicus.org/tc-9-411-2015.pdf |
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| Zusammenfassung |
| Numerical simulations of land surface processes are important in order to
perform landscape-scale assessments of earth systems. This task is
problematic in complex terrain due to (i) high-resolution grids required to
capture strong lateral variability, and (ii) lack of meteorological forcing data
where they are required. In this study we test a topography and climate
processor, which is designed for use with large-area land surface simulation,
in complex and remote terrain. The scheme is driven entirely by globally
available data sets. We simulate air temperature, ground surface temperature
and snow depth and test the model with a large network of measurements in the
Swiss Alps. We obtain root-mean-squared error (RMSE) values of 0.64 °C for air temperature,
0.67–1.34 °C for non-bedrock ground surface temperature, and
44.5 mm for snow depth, which is likely affected by poor input precipitation
field. Due to this we trial a simple winter precipitation correction method
based on melt dates of the snowpack. We present a test application of the
scheme in the context of simulating mountain permafrost. The scheme produces
a permafrost estimate of 2000 km2, which compares well to published
estimates. We suggest that this scheme represents a useful step in
application of numerical models over large areas in heterogeneous terrain. |
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