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首页> 外文期刊>Journal of hydrometeorology >A Real-Time Evaporation Correction Scheme for Radar-Derived Mosaicked Precipitation Estimations
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A Real-Time Evaporation Correction Scheme for Radar-Derived Mosaicked Precipitation Estimations

机译:雷达衍生的镶嵌降水估计的实时蒸发校正方案

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Precipitation values estimated by radar are assumed to be the amount of precipitation that occurred at the surface, yet this notion is inaccurate. Numerous atmospheric and microphysical processes can alter the precipitation rate between the radar beam elevation and the surface. One such process is evaporation. This study determines the applicability of integrating an evaporation correction scheme for real-time radar-derived mosaicked precipitation rates to reduce quantitative precipitation estimate (QPE) overestimation and to reduce the coverage of false surface precipitation. An evaporation technique previously developed for large-scale numerical modeling is applied to Multi-Radar Multi-Sensor (MRMS) precipitation rates through the use of 2D and 3D numerical weather prediction (NWP) atmospheric parameters as well as basic radar properties. Hourly accumulated QPE with evaporation adjustment compared against gauge observations saw an average reduction of the overestimation bias by 57%-76% for rain events and 42%-49% for primarily snow events. The removal of false surface precipitation also reduced the number of hourly gauge observations that were considered as "false zero'' observations by 52.1% for rain and 38.2% for snow. Optimum computational efficiency was achieved through the use of simplified equations and hourly 10-km horizontal resolution NWP data. The run time for the evaporation correction algorithm is 6-7 s.
机译:假设雷达估计的降水值是表面发生的沉淀量,但这种观念是不准确的。许多大气和微手术过程可以改变雷达梁升降和表面之间的沉淀速率。一个这样的过程是蒸发。本研究确定了整合蒸发校正方案的适用性,以实现实时雷达衍生的乳糜蛋白沉淀率,以减少定量降水估计(QPE)估计,并降低假表面沉淀的覆盖率。通过使用2D和3D数值天气预报(NWP)大气参数以及基本雷达性能,将先前开发用于大规模数值建模的蒸发技术。每小时累计QPE蒸发调整与仪表观测相比,雨量偏差的平均降低57%-76%,主要为雪事件的42%-49%。消除假表面沉淀的时间也降低了被认为是“假零”观察的每小时尺寸观察的数量,雨量为52.1%,雪的38.2%。通过使用简化方程和每小时10-达到最佳计算效率KM水平分辨率NWP数据。蒸发校正算法的运行时间为6-7秒。

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