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Sand-Dust Storm Simulation Model Coupled with PSU/NCAR Mesoscale Model

机译:砂尘风暴仿真模型与PSU / NCAR Mescle模型相结合

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摘要

A sand-dust numerical model coupled with MM5(PSU/NCAR mesoscale model) –CUCSDust (CMA Unified Chemistry System-Dust) is introduced. CUCSDust includes such detail physical processes as dust production, transport, growth, coagulation, dry and wet deposition, which can simulate and forecast the initial and sand-dust concentration of sand and dust storm. A parallel scheme is also designed to reduce the run-time which is most important for real-time forecasting. Based on CUCSDust, a numerical model forecasting system is established in northeast Asia, and is applied to China Meteorological Administration (CMA) for operational prediction of sand and dust storm from March, 2006. A prediction result of severe sand and dust storm occurred in 26–28, March, 2006 is chosen, which shows no difference for sand-dust spatial distribution between model outputs and remote sensing monitoring imagers and indicates that the model system has the capability of real-time forecasting sand and dust storm in northeast Asia.*
机译:介绍了一种与MM5(PSU / NCAR MESCHE MODES)耦合的沙尘数值模型 - CCSDUST(CMA统一化学系统灰尘)。 CUCSDUST包括粉尘生产,运输,生长,凝血,干湿沉积等细节物理过程,可以模拟和预测沙子和尘暴的初始和沙尘浓度。并行方案还旨在减少对实时预测最重要的运行时间。基于CUCSDUST的基于CUCSDUST,在东北亚建立了一个数值模型预测系统,应用于2006年3月的沙尘暴运营预测的中国气象管理(CMA)。26次发生严重沙尘风暴的预测结果选择-28,2006年3月,选择了模型输出和遥感监测成像器之间的沙尘空间分布没有差异,并表明模型系统具有东北亚的实时预测沙子和尘暴的能力。*

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