Evaluation of Surface Sensible Weather Forecasts by the WRF and the Eta Models over the Western United States
Evaluation of Surface Sensible Weather Forecasts by the WRF and the Eta Models over the Western United States
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DOI：
10.1175/waf885.1
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发表时间：
2005-10
影响因子：
2.9
通讯作者：
W. Cheng;W. J. Steenburgh
中科院分区：
文献类型：
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作者：
W. Cheng;W. J. Steenburgh
摘要利用中西部合作网络高密度观测资料进行地表感测天气预报，分析了2003年暖季（6 - 8月）美国西部地区区域预报合作研究所（CIRP）天气研究与预报（WRF）和Eta模式的性能特征。一般来说，CIRP WRF产生的2 m温度和露点平均绝对误差和偏差（MAEs和BEs）大于Eta。CIRP WRF对10 m风速预报过高，而Eta预报偏低，误差幅度与CIRP WRF相当。在CIRP WRF中使用俄勒冈州立大学（OSU）陆地表面模型（LSM）进行的测试，而不是更简单的板土模型，表明使用更复杂的LSM在减少上述表面变量的WRF BEs和MAEs方面没有总体优势。而板土模型中土壤温度初始化的改善，确实降低了t。
Abstract An evaluation of the surface sensible weather forecasts using high-density observations provided by the MesoWest cooperative networks illustrates the performance characteristics of the Cooperative Institute for Regional Prediction (CIRP) Weather Research and Forecast (WRF) and the Eta Models over the western United States during the 2003 warm season (June–August). In general, CIRP WRF produced larger 2-m temperature and dewpoint mean absolute and bias errors (MAEs and BEs, respectively) than the Eta. CIRP WRF overpredicted the 10-m wind speed, whereas the Eta exhibited an underprediction with a comparable error magnitude to CIRP WRF. Tests using the Oregon State University (OSU) Land Surface Model (LSM) in CIRP WRF, instead of a simpler slab-soil model, suggest that using a more sophisticated LSM offers no overall advantage in reducing WRF BEs and MAEs for the aforementioned surface variables. Improvements in the initialization of soil temperature in the slab-soil model, however, did reduce the t...