An Evaluation of the Distribution of Remote Automated Weather Stations (RAWS)
An Evaluation of the Distribution of Remote Automated Weather Stations (RAWS)
复制标题
远程自动气象站 (RAWS) 分布的评估
DOI：
10.1175/2010jamc2397.1
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发表时间：
2010
影响因子：
3
通讯作者：
Xia Dong
中科院分区：
文献类型：
--
作者：
J. Horel;Xia Dong
摘要本研究估计在美国大陆的某些站点，温度、湿度和风的表面观测值是否比其他站点在这些站点附近指定天气条件的关键性要小。二维变分分析的温度，相对湿度，和风在2008年夏季选定的中午时间。这组8925个控制分析来自5 km分辨率的背景场和远程自动气象站（RAWS）和国家气象局（NWS）在大约4° × 4°经纬度范围内的观测。完成了超过570，000次交叉验证实验，以评估删除每个RAWS和NWS站的影响。观测资产相互之间距离较近的情况比较常见。去除温度、相对湿度或风观测的灵敏度因地区而异，并取决于周围地形的复杂性和观测结果的代表性。
Abstract This study estimates whether surface observations of temperature, moisture, and wind at some stations in the continental United States are less critical than others for specifying weather conditions in the vicinity of those stations. Two-dimensional variational analyses of temperature, relative humidity, and wind were created for selected midday hours during summer 2008. This set of 8925 control analyses was derived from 5-km-resolution background fields and Remote Automated Weather Station (RAWS) and National Weather Service (NWS) observations within roughly 4° × 4° latitude–longitude domains. Over 570 000 cross-validation experiments were completed to assess the impact of removing each RAWS and NWS station. The presence of observational assets within relatively close proximity to one another is relatively common. The sensitivity to removing temperature, relative humidity, or wind observations varies regionally and depends on the complexity of the surrounding terrain and the representativeness o...