Physically Based Estimation of Maximum Precipitation over American River Watershed, California
Physically Based Estimation of Maximum Precipitation over American River Watershed, California
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基于物理的加利福尼亚州美国河流流域最大降水量估算
DOI：
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发表时间：
2011
期刊：
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通讯作者：
E. Tan
中科院分区：
文献类型：
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作者：
N. Ohara;M. Kavvas;S. Kure;Z. Chen;S. Jang;E. Tan
本文提出了一种基于物理基础的数值大气模式的最大降水（MP）估计方法。作为一个案例研究，基于模型的72小时MP估计美国河流域（ARW）在加州的1996年12月至1997年1月的洪水事件。首先，一个区域大气模式，MM5，校准和验证的1996年12月至1997年1月的历史大风暴事件的ARW，美国国家大气研究中心（NCAR）再分析数据的基础上，以证明在历史时期的模式能力。然后，模式模拟的历史风暴事件最大化，通过修改其边界条件。模型模拟的降水场在ARW成功地验证了9个独立的雨量站在流域。计算的流域平均降水量略高于通过雨量计观测的空间插值获得的观测结果。这一结果表明，限制…
A methodology for maximum precipitation (MP) estimation that uses a physically based numerical atmospheric model is proposed in this paper. As a case study, the model-based 72-h MP was estimated for the American River watershed (ARW) in California for the December 1996–January 1997 flood event. First, a regional atmospheric model, MM5, was calibrated and validated for the December 1996–January 1997 historical major storm event for the ARW, on the basis of the U.S. National Center for Atmospheric Research (NCAR) reanalysis data to demonstrate the model capability during the historical period. Then, the model-simulated historical storm event was maximized by modifying its boundary conditions. The model-simulated precipitation field in the ARW was successfully validated at nine individual rain gauge stations in the watershed. The computed basin-averaged precipitation was somewhat higher than observations obtained by the spatial interpolation of the rain gauge observations. This result suggests a limitation o...