首页> 中文期刊> 《热带气象学报:英文版》 >THE EVALUATION, DATA FUSION AND APPLICATION OF FY2E SST IN TROPICAL CYCLONES OVER NORTHWEST PACIFIC OCEAN

THE EVALUATION, DATA FUSION AND APPLICATION OF FY2E SST IN TROPICAL CYCLONES OVER NORTHWEST PACIFIC OCEAN

         

摘要

The daily FY2 E Sea Surface Temperature(SST) data from China National Satellite Meteorological Center(NSMC) was evaluated and compared with the Optimum Interpolation Sea Surface Temperature(OISST) data from US National Oceanic and Atmospheric Administration(NOAA) over Northwest Pacific Ocean(NPO) in this study. The results show that the distribution of FY2 E SST is close to OISST in tropical region over NPO, especially in typhoon active season, but the value of FY2 E SST is a little lower than that of OISST in tropical ocean, with the absolute deviation 1℃ lower and the relative deviation about 6% lower. The correlation coefficient between monthly FY2 E SST and monthly OISST is as high as 0.7, which passes the t-test at a significance level of 0.01. Based on the evaluation result, the merged SST_(FY)over NPO is calculated using a weighting function. Besides, Tropical Cyclone Heat Potential(TCHP_(FY)) is calculated and combined with the simulated sea temperature profile. From three years operational tests in NSMC, the merged SST_(FY)and TCHP_(FY)are shown to be good indexes in monitoring and predicting the intensity of tropical cyclones(TCs) over NPO.

著录项

  • 来源
    《热带气象学报:英文版》 |2018年第3期|280-287|共8页
  • 作者单位

    State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems;

    China Electric Power Research Institute;

    Beijing 100192 China;

    State Key Laboratory of Severe Weather;

    Chinese Academy of Meteorological Sciences;

    Beijing 100081 China;

    National Satellite Meteorological Center;

    Beijing 100081 China;

    School of Physical;

    Environmental and Mathematical Sciences;

    University of New South Wales;

    Canberra ATC 2600Australia;

    Institute of Atmospheric Physics;

    Chinese Academy of Sciences;

    Beijing 100029 China1;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 卫星气象学;
  • 关键词

    SST; data fusion; TCHP; tropical cyclone;

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