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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Comparison of NCEP Multisensor Precipitation Estimates with Independent Gauge Data over the Eastern United States
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Comparison of NCEP Multisensor Precipitation Estimates with Independent Gauge Data over the Eastern United States

机译:美国东部NCEP多传感器降水估计与独立测量数据的比较

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摘要

Gauge-calibrated radar estimates of daily precipitation are compared with daily observed values of precipitation from National Weather Service (NWS) Cooperative Observer Network (COOP) stations to evaluate the multisensor precipitation estimate (MPE) product that is gridded by the National Centers for Environmental Prediction (NCEP) for the eastern United States (defined as locations east of the Mississippi River). This study focuses on a broad evaluation of MPE across the study domain by season and intensity. In addition, the aspect of precipitation type is considered through case studies of winter and summer precipitation events across the domain. Results of this study indicate a north-south gradient in the error of MPE and a seasonal pattern with the highest error in summer and autumn and the lowest error in winter. Two case studies of precipitation are also considered in this study. These case studies include instances of intense precipitation and frozen precipitation. These results suggest that MPE is less able to estimate convective-scale precipitation as compared with precipitation variations at larger spatial scales. In addition, the results suggest that MPE is subject to errors related both to the measurement gauges and to the radar estimates used. Two case studies are also included to discuss the differences with regard to precipitation type. The results from these case studies suggest that MPE may have higher error associated with estimating the liquid equivalent of frozen precipitation when compared with NWS COOP network data. The results also suggest the need for more analysis of MPE error for frozen precipitation in diverse topographic regimes.
机译:将校准过的雷达日降水量估计值与国家气象局(NWS)合作观察员网络(COOP)站的每日降水观测值进行比较,以评估由国家环境预测中心网格化的多传感器降水估计(MPE)产品(NCEP),用于美国东部(定义为密西西比河以东的位置)。这项研究着重于按季节和强度在整个研究领域对MPE进行广泛评估。此外,通过跨域冬季和夏季降水事件的案例研究来考虑降水类型方面。这项研究的结果表明,MPE的误差呈北-南梯度,而夏季和秋季的误差最大,而冬季的误差最小。在这项研究中还考虑了两个案例研究。这些案例研究包括强降水和冰冻降水的实例。这些结果表明,与较大空间尺度上的降水变化相比,MPE无法估计对流尺度降水。此外,结果表明,MPE会遭受与测量仪和所用雷达估计值有关的误差。还包括两个案例研究,以讨论降水类型的差异。这些案例研究的结果表明,与NWS COOP网络数据相比,MPE可能与估计冷冻沉淀的液体当量有关的误差更大。结果还表明,需要对各种地形条件下的冰冻降水进行MPE误差分析。

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