Snow water equivalent interpolation for the Colorado River Basin from snow telemetry (SNOTEL) data
Snow water equivalent interpolation for the Colorado River Basin from snow telemetry (SNOTEL) data
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DOI：
10.1029/2002wr001512
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发表时间：
2003-08-13
影响因子：
5.4
通讯作者：
Bales, RC
中科院分区：
文献类型：
--
作者：
Fassnacht, SR;Dressler, KA;Bales, RC
反加权距离和回归非精确技术进行了评价的插值方法雪水当量（SWE）在整个科罗拉多河流域的美国西部。1993年、1998年和1999年的雪遥测（SNOTEL）测量数据网格化采用了1公里的间距，平均而言，这些数据分别代表高于平均值、平均值和低于平均值的降雪年份。由于地形的影响，回归技术（高程和多变量自然地理参数）被认为是上级的加权距离的方法（平方反比距离加权，最佳功率反比距离加权）。为了保留点SNOTEL数据，提出了一种回归去趋势反加权距离法。根均方误差分析和估计的基础上，SWE量在不同的海拔地区的整个盆地和子盆地的高程消除趋势的方法与逐点回归被认为是最合适的技术。不同的搜索半径和各向异性的搜索椭圆进行了测试与hypometric方法，产生的均方根误差和SWE体积只有很小的差异。
Inverse weighted distance and regression nonexact techniques were evaluated for interpolating methods snow water equivalent (SWE) across the entire Colorado River Basin of the western United States. A 1-km spacing was used for the gridding of snow telemetry (SNOTEL) measurements for the years 1993, 1998, and 1999, which on average, represented higher than average, average, and lower than average snow years. Because of the terrain effects, the regression techniques (hypsometric elevation and multivariate physiographic parameter) were found to be superior to the weighted distance approaches (inverse distance weighting squared, and optimal power inverse distance weighting). A regression detrended inverse weighted distance method was developed for the hypsometric and multivariate techniques in order to preserve the point SNOTEL data. On the basis of root mean square error analysis and estimates of SWE volumes in different elevation zones for the entire basin and for subbasins the elevation detrended method with a point by point regression was found to be the most appropriate technique. Various search radii and anisotropies of the search ellipse were tested with the hypsometric method, producing only small difference in the root mean square error and SWE volumes.