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An Evaluation of Tropical Cyclone Genesis Forecast over the Western North Pacificand the South China Sea from the CMA-TRAMS
Authors:LI Meng-jie  CHEN Zi-tong  DAI Guang-feng  TIAN Qun  LEUNG Jeremy Cheuk-hin  LIN Qing and ZHANG Yan-xia
Institution:1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China;2. State Key Laboratory of Severe Weather, ChineseAcademy of Meteorological Sciences, Beijing 100081 China,1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China,1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China,1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China,1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China,3. Guangdong Meteorological Observatory, Guangzhou510641 China and 1. Guangzhou Institute of Tropical and Marine Meteorology/ Guangdong Provincial Key Laboratory of RegionalNumerical Weather Prediction, CMA, Guangzhou 510641 China;2. State Key Laboratory of Severe Weather, ChineseAcademy of Meteorological Sciences, Beijing 100081 China
Abstract:Tropical cyclone (TC) genesis forecasting is essential for daily operational practices during the typhoon season.The updated version of the Tropical Regional Atmosphere Model for the South China Sea (CMA-TRAMS) offersforecasters reliable numerical weather prediction (NWP) products with improved configurations and fine resolution. Whiletraditional evaluation of typhoon forecasts has focused on track and intensity, the increasing accuracy of TC genesisforecasts calls for more comprehensive evaluation methods to assess the reliability of these predictions. This study aims toevaluate the effectiveness of the CMA-TRAMS for cyclogenesis forecasts over the western North Pacific and South ChinaSea. Based on previous research and typhoon observation data over five years, a set of localized, objective criteria has beenproposed. The analysis results indicate that the CMA-TRAMS demonstrated superiority in cyclogenesis forecasts, pre dicting 6 out of 22 TCs with a forecast lead time of up to 144 h. Additionally, over 80% of the total could be predicted 72 hin advance. The model also showed an average TC genesis position error of 218.3 km, comparable to the track errors ofoperational models according to the annual evaluation. The study also briefly investigated the forecast of Noul (2011). Theforecast field of the CMA-TRAMS depicted thermal and dynamical conditions that could trigger typhoon genesis, con sistent with the analysis field. The 96-hour forecast field of the CMA-TRAMS displayed a relatively organized three dimensional structure of the typhoon. These results can enhance understanding of the mechanism behind typhoon genesis,fine-tune model configurations and dynamical frameworks, and provide reliable forecasts for forecasters.
Keywords:CMA-TRAMS  cyclogenesis  numerical weather prediction  tropical cyclone
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