Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019872 |
Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth | |
Helbig, N.; van Herwijnen, A. | |
2017-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Switzerland |
英文摘要 | Snow depth is an important variable for a variety of models including land-surface, meteorological, and climate models. Various measurement networks were therefore developed to measure snow depth on the ground. Measurement stations are generally located in gentle terrain (flat field measurements) most often at lower or mid elevation. While these sites have provided a wealth of information, various studies have questioned the representativity of such flat field measurements for the surrounding topography, especially in alpine regions. Using highly resolved snow depth maps at the peak of winter from two distinct climatic regions in Switzerland and in the Spanish Pyrenees, we developed two parameterizations to estimate domain-averaged snow depth in coarse-scale model applications over complex topography using easy to derive topographic parameters. The first parameterization uses a commonly applied linear lapse rate. Removing the dominant elevation gradient in mean snow depth revealed remaining underlying correlations with other topographic parameters, in particular the sky view factor. The second parameterization combines a power law elevation trend scaled with the subgrid parameterized sky view factor. Using a variety of statistic measures showed that the more complex parameterization performs better when using mean high-resolution flat field snow depth. The performances slightly decreased when formulating the parameterizations for a single flat field snow depth measurement. Nevertheless, the more complex parameterization still outperformed the linear lapse rate model. As the parameterization was developed independently of a specific geographic region, we suggest it could be used to assimilate flat field snow depth or snowfall into coarse-scale snow model frameworks. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000398568800024 |
WOS关键词 | SPATIAL VARIABILITY ; COMPLEX TOPOGRAPHY ; LIDAR MEASUREMENT ; WATER EQUIVALENT ; ALPINE TERRAIN ; SWISS ALPS ; ELEVATION ; WEATHER ; ACCUMULATION ; SCALE |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20825 |
专题 | 资源环境科学 |
作者单位 | WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland |
推荐引用方式 GB/T 7714 | Helbig, N.,van Herwijnen, A.. Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth[J]. WATER RESOURCES RESEARCH,2017,53(2). |
APA | Helbig, N.,&van Herwijnen, A..(2017).Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth.WATER RESOURCES RESEARCH,53(2). |
MLA | Helbig, N.,et al."Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth".WATER RESOURCES RESEARCH 53.2(2017). |
条目包含的文件 | 条目无相关文件。 |
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