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Applications of Satellite-Derived Ocean Measurements to Tropical Cyclone Intensity Forecasting

机译:卫星海洋测量在热带气旋强度预报中的应用

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摘要

Sudden tropical cyclone (TC) intensification has been linked with high values of upper ocean heat content contained in mesoscale features, particularly warm ocean eddies, provided that atmospheric conditions are also favorable. Although understanding of air-sea interaction for TCs is evolving, this manuscript summarizes some of the current work being carried out to investigate the role that the upper ocean plays in TC intensification and the use of ocean parameters in forecasting TC intensity.
机译:如果大气条件也有利,那么突然的热带气旋(TC)增强与中尺度特征(特别是温暖的海洋涡流)中包含的高海洋热量的高值有关。尽管对TC的海-气相互作用的理解正在发展,但该手稿总结了当前正在进行的一些工作,以调查上层海洋在TC强度增强中的作用以及海洋参数在预测TC强度中的作用。

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  • 来源
    《Oceanography》 |2009年第3期|190-197|共8页
  • 作者单位

    National Oceanic and Atmospheric Administration (NOAA) Atlantic Oceanographic and Meteorological Laboratory (AOML), Miami, FL, USA;

    NOAA National Environmental Satellite, Data, and Information Service (NESDIS), Regional and Mesoscale Meteorology Branch, Fort Collins, CO, USA;

    NOAA NESDIS Regional and Mesoscale Meteorology Branch, Fort Collins, CO, USA;

    Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA;

    University of Rhode Island, Graduate School of Oceanography, RI, USA;

    Cooperative Institute for Marine and Atmospheric Sciences, University of Miami, Miami, FL, USA;

    Marine Science and Oceanography Group, Eduardo Mondlane University, Maputo, Mozambique;

    NOAA National Hurricane Center, Tropical Prediction Center, Miami, FL, USA;

    Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan;

    Oceanography Division, National Remote Sensing Centre, Hyderabad, India;

    Center for Australian Weather and Climate Research, Melbourne, Australia;

    Meteo-France/Mercator Ocean, Ramonville-Saint-Agne, France;

    National Typhoon Center, Korea Meteorological Administration, Jeju, South Korea;

    NOAA National Centers for Environmental Prediction, Environmental Modeling Center, Camp Springs, MD, USA;

    Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA;

    Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA;

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