Modelling forest snow processes with a new version of WaSiM
| Autor: | Gertraud Meißl, Jakob Garvelmann, Kristian Förster, Ulrich Strasser |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften
010504 meteorology & atmospheric sciences Hydrological modelling 0208 environmental biotechnology Meteorological condition 02 engineering and technology 01 natural sciences Forest canopies Water balance On-site observations Snow ddc:551 Camera network ddc:550 terrestrial time-lapse camera network 0105 earth and related environmental sciences Water Science and Technology Hydrology Tree canopy WaSiM Spatiotemporal patterns Forestry hydrological modelling Cameras 020801 environmental engineering forest canopy snow interception and sublimation Water balance simulation Dewey Decimal Classification::500 | Naturwissenschaften::551 | Geologie Hydrologie Meteorologie Environmental science Catchments Interception |
| Zdroj: | Hydrological Sciences Journal 63 (2018), Nr. 10 |
| Popis: | We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from −0.68 to 0.71 and 0.21 to 0.87, respectively. |
| Databáze: | OpenAIRE |
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