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Prediction of severe tropical cyclones over the Bay of Bengal during 2007-2010 using high-resolution mesoscale model

机译:利用高分辨率中尺度模型预测2007-2010年孟加拉湾严重热带气旋

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In this paper, the performance of a high-resolution mesoscale model for the prediction of severe tropical cyclones over the Bay of Bengal during 2007-2010 (Sidr, Nargis, Aila, and Laila) is discussed. The advanced Weather Research Forecast (WRF) modeling system (ARW core) is used with a combination of Yonsei University PBL schemes, Kain-Fritsch cumulus parameterization, and Ferrier cloud microphysics schemes for the simulations. The initial and boundary conditions for the simulations are derived from global operational analysis and forecast products of the National Center for Environmental Prediction-Global Forecast System (NCEP-GFS) available at 1A degrees lon/lat resolution. The simulation results of the extreme weather parameters such as heavy rainfall, strong wind and track of those four severe cyclones, are critically evaluated and discussed by comparing with the Joint Typhoon Warning Center (JTWC) estimated values. The simulations of the cyclones reveal that the cyclone track, intensity, and time of landfall are reasonably well simulated by the model. The mean track error at the time of landfall of the cyclone is 98 km, in which the minimum error was found to be for the cyclone Nargis (22 km) and maximum error for the cyclone Laila (304 km). The landfall time of all the cyclones is also fairly simulated by the model. The distribution and intensity of rainfall are well simulated by the model as well and were comparable with the TRMM estimates.
机译:本文讨论了高分辨率中尺度模型在预测2007-2010年孟加拉湾上空严重热带气旋(Sidr,Nargis,Aila和Laila)时的性能。先进的天气研究预报(WRF)建模系统(ARW核心)与延世大学PBL方案,Kain-Fritsch积云参数化和Ferrier云微物理方案结合使用。模拟的初始条件和边界条件来自国家环境预测中心-全球预测系统(NCEP-GFS)的全球运营分析和预测产品,其分辨率为1A lon / lat。通过与联合台风预警中心(JTWC)的估计值进行比较,严格评估和讨论了极端天气参数(例如强降雨,强风和这四个强旋风的轨道)的模拟结果。气旋的模拟表明,该模型对气旋的轨迹,强度和登陆时间进行了很好的模拟。气旋登陆时的平均航迹误差为98 km,其中最小的误差是纳吉斯气旋(22 km),最大的误差是莱拉气旋(304 km)。该模型还对所有气旋的登陆时间进行了模拟。该模型也很好地模拟了降雨的分布和强度,并与TRMM估计值相当。

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