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A numerical simulation of latent heating within Typhoon Molave

机译:台风莫拉夫内潜热的数值模拟

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摘要

The weather research and forecasting (WRF) model is a new generation mesoscale numerical model with a fine grid resolution (2 km), making it ideal to simulate the macro- and micro-physical processes and latent heating within Typhoon Molave (2009). Simulations based on a single-moment, six-class microphysical scheme are shown to be reasonable, following verification of results for the typhoon track, wind intensity, precipitation pattern, as well as inner-core thermodynamic and dynamic structures. After calculating latent heating rate, it is concluded that the total latent heat is mainly derived from condensation below the zero degree isotherm, and from deposition above this isotherm. It is revealed that cloud microphysical processes related to graupel are the most important contributors to the total latent heat. Other important latent heat contributors in the simulated Typhoon Molave are condensation of cloud water, deposition of cloud ice, deposition of snow, initiation of cloud ice crystals, deposition of graupel, accretion of cloud water by graupel, evaporation of cloud water and rainwater, sublimation of snow, sublimation of graupel, melting of graupel, and sublimation of cloud ice. In essence, the simulated latent heat profile is similar to ones recorded by the Tropical Rainfall Measuring Mission, although specific values differ slightly.
机译:天气研究和预报(WRF)模型是具有精细网格分辨率(2 km)的新一代中尺度数值模型,非常适合模拟台风莫拉夫(2009)内的宏观和微观物理过程以及潜热。在验证了台风径迹,风强度,降水模式以及内芯热力学和动力学结构的结果之后,基于单矩六类微观物理方案的模拟被证明是合理的。在计算潜热速率后,可以得出结论,总潜热主要来自零度等温线以下的冷凝,以及该等温线以上的沉积。结果表明,与gra有关的云微物理过程是总潜热的最重要贡献者。在模拟台风莫拉夫中,其他重要的潜热贡献者是云水的凝结,云冰的沉积,雪的沉积,云冰晶体的起始、,的沉积,gra的云水积聚,云水和雨水的蒸发,升华。积雪,格鲁珀尔升华,格鲁珀尔融化和云冰升华。从本质上讲,尽管具体值略有不同,但模拟的潜热剖面与热带降雨测量团记录的相似。

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  • 来源
    《海洋学报(英文版)》 |2017年第7期|39-47|共9页
  • 作者单位

    School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China;

    Meteorological Center of Middle South Regional Air Traffic Management Bureau of Civil Aviation of China, Guangzhou 510470, China;

    Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510080, China;

    School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China;

    School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China;

    Meteorological Center of Middle South Regional Air Traffic Management Bureau of Civil Aviation of China, Guangzhou 510470, China;

    School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China;

    Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510080, China;

  • 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 eng
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