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Antarctic Radiosonde Observations Reduce Uncertainties and Errors in Reanalyses and Forecasts over the Southern Ocean:An Extreme Cyclone Case

机译:南极无线电探空仪观测减少了南洋重新分析和预报的不确定性和错误:极端旋风案例

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摘要

Cyclones with strong winds can make the Southern Ocean and the Antarctic a dangerous environment.Accurate weather forecasts are essential for safe shipping in the Southern Ocean and observational and logistical operations at Antarctic research stations.This study investigated the impact of additional radiosonde observations from Research Vessel"Shirase"over the Southern Ocean and Dome Fuji Station in Antarctica on reanalysis data and forecast experiments using an ensemble data assimilation system comprising the Atmospheric General Circulation Model for the Earth Simulator and the Local Ensemble Transform Kalman Filter Experimental Ensemble Reanalysis,version 2.A 63-member ensemble forecast experiment was conducted focusing on an unusually strong Antarctic cyclonic event.Reanalysis data with(observing system experiment)and without(control)additional radiosonde data were used as initial values.The observing system experiment correctly captured the central pressure of the cyclone,which led to the reliable prediction of the strong winds and moisture transport near the coast.Conversely,the control experiment predicted lower wind speeds because it failed to forecast the central pressure of the cyclone adequately.Differences were found in cyclone predictions of operational forecast systems with and without assimilation of radiosonde observations from Dome Fuji Station.

著录项

  • 来源
    《大气科学进展(英文版)》 |2020年第5期|431-440|共10页
  • 作者单位

    Kitami Institute of Technology Kitami 090-8507 Japan;

    Application Laboratory Japan Agency for Marine-Earth Science and Technology Yokohama 236-0001 Japan;

    National Institute of Polar Research Tachikawa 190-8518 Japan;

    SOKENDAI(Graduate University for Advanced Studies) Hayama 240-0193 Japan;

    University of Toyama Toyama 930-8555 Japan;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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