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Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics

机译:使用WRF模拟印度钦奈上的特大暴雨事件:对网格分辨率和边界层物理的敏感性

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摘要

In this study, the heavy precipitation event on 01 December 2015 over Chennai located on the southeast coast of India was simulated using the Weather Research and Forecast (WRF) model. A series of simulations were conducted using explicit convection and varying the planetary boundary layer (PBL) parameterization schemes. The model results were compared with available surface, satellite and Doppler Weather Radar observations. Simulations indicate strong, sustained moist convection associated with development of a mesoscale upper air cyclonic circulation, during the passage of a synoptic scale low-pressure trough caused heavy rainfall over Chennai and its surroundings. Results suggest that veering of wind with height associated with strong wind shear in the layer 800-400 hPa together with dry air advection facilitated development of instability and initiation of convection. The 1-km domain using explicit convection improved the prediction of rainfall intensity of about 450 mm and its distribution. The PBL physics strongly influenced the rainfall prediction by changing the location of upper air circulation, energy transport, moisture convergence and intensity of convection in the schemes YSU, MYJ and MYNN. All the simulations underestimated the first spell of the heavy rainfall. While YSU and MYJ schemes grossly underestimated the rainfall and dislocated the area of maximum rainfall, the higher order MYNN scheme simulated the rainfall pattern in better agreement with observations. The MYNN showed lesser mixing and simulated more humid boundary layer, higher convective available potential energy (CAPE) and stronger winds at mid-troposphere than did the other schemes. The MYNN also realistically simulated the location of upper air cyclonic flow and various dynamic and thermodynamic features. Consequently it simulated stronger moisture convergence and higher precipitation.
机译:在这项研究中,使用天气研究和预报(WRF)模型模拟​​了2015年12月1日位于印度东南沿海金奈的强降水事件。使用显式对流和改变行星边界层(PBL)参数化方案进行了一系列模拟。将模型结果与可用的地面,卫星和多普勒天气雷达观测结果进行了比较。模拟表明,在天气尺度的低压槽通过时,导致中奈及其周边地区出现大雨,与中尺度的高层空气旋风循环的发展有关的强而持续的湿对流。结果表明,在800-400 hPa层高风切变与强风切变以及干燥空气对流一起促进了不稳定的发展和对流的开始。使用显性对流的1 km区域改善了约450 mm降雨强度及其分布的预测。在方案YSU,MYJ和MYNN中,PBL物理学通过改变高空循环的位置,能量传输,水分会聚和对流强度,极大地影响了降雨预报。所有的模拟都低估了暴雨的第一个咒语。虽然YSU和MYJ方案严重低估了降雨量并使最大降雨量的区域错位,但高阶MYNN方案模拟了降雨模式,使其与观测值更好地吻合。与其他方案相比,MYNN的混合较少,模拟的边界层较湿,对流有效势能(CAPE)较高,对流层中风较强。 MYNN还真实地模拟了高空气旋流的位置以及各种动态和热力学特征。因此,它模拟了更强的水分收敛和更高的降水量。

著录项

  • 来源
    《Atmospheric research》 |2018年第9期|66-82|共17页
  • 作者单位

    Indira Gandhi Ctr Atom Res, Hombi Bhabha Natl Inst, HSEG, Radiol Safety Div, Kalpakkam 603102, Tamil Nadu, India;

    Govt India, Dept Space, Natl Atmospher Res Lab, Gadanki 517112, Andhra Prades, India;

    King Abudullah Univ Sci & Technol, Phys Sci & Engn Div, Thuwal 239556900, Saudi Arabia;

    Indira Gandhi Ctr Atom Res, Hombi Bhabha Natl Inst, HSEG, Radiol Safety Div, Kalpakkam 603102, Tamil Nadu, India;

    Indira Gandhi Ctr Atom Res, Hombi Bhabha Natl Inst, HSEG, Radiol Safety Div, Kalpakkam 603102, Tamil Nadu, India;

    Indira Gandhi Ctr Atom Res, Hombi Bhabha Natl Inst, HSEG, Radiol Safety Div, Kalpakkam 603102, Tamil Nadu, India;

    Indira Gandhi Ctr Atom Res, Hombi Bhabha Natl Inst, HSEG, Radiol Safety Div, Kalpakkam 603102, Tamil Nadu, India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heavy precipitation; Low-pressure trough; PBL physics; Grid resolution; WRF;

    机译:强降水;低压槽;PBL物理;网格分辨率;WRF;

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