首页> 外文会议>The 9th conference on meso-scale convective systems and high-impact weather in East Asia >Assimilation of T-TREC-Retrieved Wind Data with WRF 3DVAR for the Short-term Forecasting of Typhoon Meranti (2010) near Landfall
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Assimilation of T-TREC-Retrieved Wind Data with WRF 3DVAR for the Short-term Forecasting of Typhoon Meranti (2010) near Landfall

机译:利用WRF 3DVAR对T-TREC检索的风数据进行同化,以对登陆附近的台风Meranti(2010)进行短期预报

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摘要

For most operational radar,such as the WSR-88D of the U.S.,and WSR-98D of China,the maximum Doppler velocity range is about 150 km,far less than the maximum range of reflectivity,Z data,typically 460 km.It would thus be advantageous if the reflectivity data could be used to estimate the wind field to alleviate the limitations of wind data from single Doppler radar.An extended Tracking Radar Echo by Correlation (TREC) technique,called T-TREC technique,has been developed recently to retrieve horizontal circulations within tropical cyclones (TCs) from single Doppler radar reflectivity (Z) and radial velocity (V r,when available) data.This study explores,for the first time,the assimilation of T-TREC-retrieved winds for a landfalling typhoon,Meranti (2010),into a convection-resolving model,the WRF.
机译:对于大多数工作雷达,例如美国的WSR-88D和中国的WSR-98D,最大多普勒速度范围约为150 km,远小于反射率Z数据的最大范围(通常为460 km)。因此,如果可以使用反射率数据来估计风场以减轻来自单多普勒雷达的风数据的局限性,则将是有利的。近来,开发了一种称为“ T-TREC”的扩展的相关跟踪雷达回波(TREC)技术,从单个多普勒雷达反射率(Z)和径向速度(V r,如果可用)数据中检索热带气旋(TC)内的水平环流。这项研究首次探索了T-TREC引回的风对着陆的同化作用。台风,Meranti(2010),转化为对流解析模型,即WRF。

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  • 来源
  • 会议地点 Beijing(CN)
  • 作者单位

    Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing 210093;

    Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing 210093;

    Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing 210093;

    Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing 210093;

    Center for Analysis and Prediction of Storms, and School of Meteorology, University of Oklahoma, Norman, Oklahoma, 73072;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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