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Moisture Structure of the Quasi-biweekly Mode Revealed by AIRS in Western Pacific

机译:AIRS揭示的西太平洋准双周模式的水分结构

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摘要

Using Atmospheric Infrared Sounder (AIRS) humidity profiles, rainfall from the Tropical Rainfall Measuring Mission (TRMM) Global Precipitation Index (GPI), Quick Scattcrometer (QSCAT) satellite-observed surface winds, and SST from the Advanced Microwave Scanning Radiometer for NASA's Earth Observing System (AMSR_E), we analyzed the structure of the summer quasi-biweekly mode (QBM) over the western Pacific in 2003-2004. We find that the signal of 10-20-day oscillations in the western Pacific originates from the Philippine Sea, and propagates northwestward toward South China. The AIRS data reveal that the boundary-layer moisture provides preconditioning for QBM propagation, and leads the mid-troposphere moisture during the entire QBM cycle. The positive SST anomaly leads or is in-phase with the boundarylayer moistening, and may be a major contributor. Most likely, the 10-20-day SST anomaly positively feeds back to the atmosphere by moistening the boundary layer, destabilizing the troposphere, and leading the QBM to propagate northwestward in the western North Pacific. However, the ECMWF/TOGA (Tropical Ocean and Global Atmosphere) analysis does not display boundary-layer (BL) moisture anomalies leading the mid-troposphere moisture.
机译:利用大气红外测深仪(AIRS)的湿度曲线,热带雨量测量任务(TRMM)全球降水指数(GPI)的雨量,快速皮卡仪(QSCAT)卫星观测的地表风以及来自高级微波扫描辐射计的SST来进行NASA的地球观测系统(AMSR_E),我们分析了2003-2004年西太平洋夏季准双周模式(QBM)的结构。我们发现,西太平洋地区10-20天的振荡信号来自菲律宾海,并向西北方向向南传播。 AIRS数据显示边界层水分为QBM传播提供了预处理,并在整个QBM周期中领先于对流层中层水分。 SST的正异常导致边界层增湿或与边界层增湿同相,并且可能是主要的起因。 10-20天的SST异常最有可能通过润湿边界层,破坏对流层并导致QBM在北太平洋西部向西北传播而积极地反馈到大气中。但是,ECMWF / TOGA(热带海洋和全球大气)分析未显示导致对流层中层湿度的边界层(BL)湿度异常。

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  • 来源
    《大气科学进展(英文版)》 |2009年第3期|513-522|共10页
  • 作者

    TAO Li; Xiouhua FU; LU Weisong;

  • 作者单位

    Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044;

    International Pacific Research Center, School of Ocean Science and Technology, University of Hawaii, Honolulu, HI 96822;

    Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 大气科学(气象学);
  • 关键词

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