Evaluation of forecast performance for Super Typhoon Lekima in 2019

被引:0
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作者
Guomin Chen
Xiping Zhang
Qing Cao
Zhihua Zeng
机构
[1] Nanjing University of Information Science and Technology,Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environmental Change (ILCEC)/Collaborative Innovation Center on Forecast
[2] Shanghai Typhoon Institute of China Meteorological Administration,FEMD)
[3] Shanghai Typhoon Institute,undefined
[4] and Key Laboratory of Numerical Modeling for Tropical Cyclone of China Meteorological Administration,undefined
[5] Shanghai Marine Center Meteorological Observatory,undefined
来源
关键词
Typhoon Lekima (2019); track; intensity; landfall point; forecast verification;
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中图分类号
学科分类号
摘要
The predictions for Super Typhoon Lekima (2019) have been evaluated from official forecasts, global models, regional models and ensemble prediction systems (EPSs) at lead times of 1–5 days. Track errors from most deterministic forecasts are smaller than their annual mean errors in 2019. Compared to the propagation speed, the propagation direction of Lekima (2019) was much easier to determine for the official agency and numerical weather prediction (NWP) models. The National Centers for Environmental Prediction Global Ensemble Forecast System (NCEP-GEFS), Japan Meteorological Agency Global Ensemble Prediction System (JMA-GEPS) and Meteorological Service of Canada Ensemble System (MSC-CENS) are underdispersed, and the Shanghai Typhoon Institute Typhoon Ensemble Data Assimilation and Prediction System (STI-TEDAPS) is overdispersed, while the ensemble prediction system from European Centre for Medium-Range Weather Forecasts (ECMWF) shows adequate dispersion at all lead times. Most deterministic forecasting methods underestimated the intensity of Lekima (2019), especially for the rapid intensification period after Lekima (2019) entered the East China Sea. All of the deterministic forecasts performed well at predicting the first landfall point at Wenling, Zhejiang Province with a lead time of 24 and 48 h.
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页码:17 / 33
页数:16
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