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Using NEXRAD Precipitation Data for Enriching Hydrological and Hydrodynamic Models in the Northern Gulf of Mexico

机译:利用NEXRAD降水资料丰富墨西哥北部湾的水文和水动力模型

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Scarcity of precipitation data is common when modeling and simulating watershed hydrology. Current availability of ground-based radar stations provides estimations of precipitation in ways that were inexistent before. However, the delivering method for radar-estimated precipitation (raster layers of precipitation values per unit time) is not the best in the context of hydrological modeling. Usually, hydrological models require precipitation time-series organized according to a previous delineation of the watershed. This paper presents a methodology for generating and using NEXRAD precipitation data for hydrological simulation. NEXRAD or Nexrad (Next-Generation Radar) is a network of 158 high-resolution Doppler weather radars operated by the National Weather Service, an agency of the National Oceanic and Atmospheric Administration (NOAA) within the United States Department of Commerce. In this research, more than 70000 NEXRAD precipitation data files in XMRGS format and HRAP coordinates (for the period 1997-2005) were used to generate precipitation time series to be used by hydrological and hydrodynamic models for the Mobile (Alabama, USA) watershed and estuary. Results and comparison with measured data are presented.
机译:在建模和模拟流域水文学时,降水数据的稀缺是普遍现象。地面雷达站的当前可用性以以前不存在的方式提供了降水估计。但是,在水文建模的背景下,雷达估算的降水(单位时间降水值的栅格层)的传递方法并不是最好的。通常,水文模型需要根据流域先前的描述来组织降水时间序列。本文介绍了一种生成和使用NEXRAD降水数据进行水文模拟的方法。 NEXRAD或Nexrad(下一代雷达)是由158个高分辨率多普勒天气雷达组成的网络,该网络由美国商务部国家海洋与大气管理局(NOAA)的国家气象局(National Weather Service)运营。在这项研究中,使用了XMRGS格式和HRAP坐标(1997-2005年)的70000多个NEXRAD降水数据文件来生成降水时间序列,供移动(美国阿拉巴马州)流域的水文和水动力模型使用。河口。给出结果并与测量数据进行比较。

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