期刊
ADVANCES IN WATER RESOURCES
卷 55, 期 -, 页码 149-164出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2012.08.008
关键词
Snowmelt comparison; Temperature index methods; Spatially-explicit hydrological modeling; Wireless meteorological network
资金
- MINERVE project [MR0287, 00.0022.PZ/H124-3960]
- Swiss National Science Foundation (SNF) [200021_124930/1]
- ERC [RINEC 22761]
- Swiss National Science Foundation (SNF) [200021_124930] Funding Source: Swiss National Science Foundation (SNF)
This paper proposes anew extension of the classical degree-day snowmelt model applicable to hourly simulations for regions with limited data and adaptable to abroad range of spatially-explicit hydrological models. The snowmelt schemes have been tested with a point measurement dataset at the Cotton Creek Experimental Watershed (CCEW) in British Columbia, Canada and with a detailed dataset available from the Dranse de Ferret catchment, an extensively monitored catchment in the Swiss Alps. The snowmelt model performance is quantified with the use of a spatially-explicit model of the hydrologic response. Comparative analyses are presented with the widely-known, grid-based method proposed by Hock which combines a local, temperature-index approach with potential radiation. The results suggest that a simple diurnal cycle of the degree-day melt parameter based on minimum and maximum temperatures is competitive with the Hock approach for sub-daily melt simulations. Advantages of the new extension of the classical degree-day method over other temperature-index methods include its use of physically-based, diurnal variations and its ability to be adapted to data-constrained hydrological models which are lumped in some nature. (c) 2012 Elsevier Ltd. All rights reserved.
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