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Impact of Parameterization of Physical Processes on Simulation of Track and Intensity of Tropical Cyclone Nargis (2008) with WRF-NMM Model

机译:WRF-NMM模型模拟物理过程的参数化对热带气旋纳尔吉斯(2008)径迹和强度模拟的影响

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摘要

The present study is carried out to investigate the performance of different cumulus convection, planetary boundary layer, land surface processes, and microphysics parameterization schemes in the simulation of a very severe cyclonic storm (VSCS) Nargis (2008), developed in the central Bay of Bengal on 27 April 2008. For this purpose, the nonhydrostatic mesoscale model (NMM) dynamic core of weather research and forecasting (WRF) system is used. Model-simulated track positions and intensity in terms of minimum central mean sea level pressure (MSLP), maximum surface wind (10 m), and precipitation are verified with observations as provided by the India Meteorological Department (IMD) and Tropical Rainfall Measurement Mission (TRMM). The estimated optimum combination is reinvestigated with six different initial conditions of the same case to have better conclusion on the performance of WRF-NMM. A few more diagnostic fields like vertical velocity, vorticity, and heat fluxes are also evaluated. The results indicate that cumulus convection play an important role in the movement of the cyclone, and PBL has a crucial role in the intensification of the storm. The combination of Simplified Arakawa Schubert (SAS) convection, Yonsei University (YSU) PBL, NMM land surface, and Ferrier microphysics parameterization schemes in WRF-NMM give better track and intensity forecast with minimum vector displacement error.
机译:本研究的目的是研究在密西西比河中部海湾开发的非常严重的气旋风暴纳尔吉斯(VSCS)纳尔吉斯(2008)的模拟中,不同积云对流,行星边界层,陆地表面过程和微物理参数化方案的性能。孟加拉国于2008年4月27日使用。为此,使用了天气研究和预报(WRF)系统的非静力学中尺度模型(NMM)动态核心。由印度气象局(IMD)和热带雨量测量团(Medical Rainfall Measurement Mission)提供的观测结果验证了模型模拟的航迹位置和强度,包括最低中央平均海平面压力(MSLP),最大地面风(10 m)和降水。 TRMM)。将估计的最佳组合与同一案例的六个不同初始条件一起进行重新研究,以便对WRF-NMM的性能有更好的结论。还评估了其他一些诊断字段,例如垂直速度,涡度和热通量。结果表明,积云对流在旋风的运动中起着重要作用,而PBL在风暴的加剧中起着至关重要的作用。 WRF-NMM中简化的Arakawa Schubert(SAS)对流,延世大学(YSU)PBL,NMM地表和Ferrier微物理参数化方案的组合提供了更好的航迹和强度预测,且矢量位移误差最小。

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