Evaluation of forecast performance for Super Typhoon Lekima in 2019

被引:0
|
作者
CHEN Guomin [1 ,2 ,3 ]
ZHANG Xiping [2 ,3 ]
CAO Qing [4 ]
ZENG Zhihua [2 ,3 ]
机构
[1] Key Laboratory of Meteorological Disaster (Ministry of Education)/Joint International Research Laboratory of Climate and Environmental Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Info
[2] Shanghai Typhoon Institute of China Meteorological Administration, Shanghai , China
[3] Shanghai Typhoon Institute, and Key Laboratory of Numerical Modeling for Tropical Cyclone of China Meteorological Administration, Shanghai , China
[4] Shanghai Marine Center Meteorological Observatory, Shanghai ,
关键词
Typhoon Lekima (2019); track; intensity; landfall point; forecast verification;
D O I
暂无
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.
引用
收藏
页码:17 / 33
页数:17
相关论文
共 50 条
  • [1] Evaluation of forecast performance for Super Typhoon Lekima in 2019
    Guomin Chen
    Xiping Zhang
    Qing Cao
    Zhihua Zeng
    [J]. Frontiers of Earth Science, 2022, 16 : 17 - 33
  • [2] Evaluation of forecast performance for Super Typhoon Lekima in 2019
    Chen, Guomin
    Zhang, Xiping
    Cao, Qing
    Zeng, Zhihua
    [J]. FRONTIERS OF EARTH SCIENCE, 2022, 16 (01) : 17 - 33
  • [3] Rainfall forecast errors in different landfall stages of Super Typhoon Lekima (2019)
    Bin He
    Zifeng Yu
    Yan Tan
    Yan Shen
    Yingjun Chen
    [J]. Frontiers of Earth Science, 2022, 16 : 34 - 51
  • [4] Rainfall forecast errors in different landfall stages of Super Typhoon Lekima (2019)
    HE Bin
    YU Zifeng
    TAN Yan
    SHEN Yan
    CHEN Yingjun
    [J]. Frontiers of Earth Science, 2022, 16 (01) : 34 - 51
  • [5] Rainfall forecast errors in different landfall stages of Super Typhoon Lekima (2019)
    He, Bin
    Yu, Zifeng
    Tan, Yan
    Shen, Yan
    Chen, Yingjun
    [J]. FRONTIERS OF EARTH SCIENCE, 2022, 16 (01) : 34 - 51
  • [6] Stable isotope record of super typhoon Lekima (2019)
    Wang, Guangyao
    Lan, Haimao
    Liu, Zhongfang
    [J]. ATMOSPHERIC RESEARCH, 2021, 264
  • [7] Performance evaluation of IMERG precipitation products during typhoon Lekima (2019)
    Yu, Chen
    Hu, Deyong
    Di, Yufei
    Wang, Yichen
    [J]. JOURNAL OF HYDROLOGY, 2021, 597
  • [8] Evaluation and impact factors of Doppler wind lidar during Super Typhoon Lekima (2019)
    Tang, Shengming
    Guo, Yun
    Wang, Xu
    Zhu, Rong
    Tang, Jie
    Zhang, Shuai
    [J]. RENEWABLE ENERGY, 2023, 205 : 305 - 316
  • [9] Predictability and dynamics of the rapid intensification of Super Typhoon Lekima (2019)
    XU Mengting
    LI Hong
    LUO Jingyao
    BEN Hairong
    ZHU Yijie
    [J]. Frontiers of Earth Science, 2022, 16 (01) : 132 - 143
  • [10] Predictability and dynamics of the rapid intensification of Super Typhoon Lekima (2019)
    Xu, Mengting
    Li, Hong
    Luo, Jingyao
    Ben, Hairong
    Zhu, Yijie
    [J]. FRONTIERS OF EARTH SCIENCE, 2022, 16 (01) : 132 - 143