摘要
This study presented an evaluation of tropical cyclone(TC) intensity forecasts from five global ensemble prediction systems(EPSs) during 2015-2019 in the western North Pacific region. Notable error features include the underestimation of the TC intensity by ensemble mean forecast and the under-dispersion of the probability forecasts.The root mean square errors(brier scores) of the ensemble mean(probability forecasts) generally decrease consecutively at long lead times during the five years, but fluctuate between certain values at short lead times.Positive forecast skill appeared in the most recent two years(2018-2019) at 120 h or later as compared with the climatology forecasts. However, there is no obvious improvement for the intensity change forecasts during the 5-year period, with abrupt intensity change remaining a big challenge. The probability forecasts show no skill for strong TCs at all the lead times. Among the five EPSs, ECMWF-EPS ranks the best for the intensity forecast, while NCEPGEFS ranks the best for the intensity change forecast, according to the evaluation of ensemble mean and dispersion.As for the other probability forecast evaluation, ECMWF-EPS ranks the best at lead times shorter than 72 h, while NCEP-GEFS ranks the best later on.
作者
XIN Jia-jie
YU Hui
CHEN Pei-yan
辛佳洁;余晖;陈佩燕(Chinese Academy of Meteorological Sciences,Beijing 100081 China;Shanghai Typhoon Institute of China Meteorological Administration,Shanghai 200030 China;Key Laboratory of Numerical Modeling for Tropical Cyclones of China Meteorological Administration,Shanghai 200030 China)
基金
National Key R&D Program of China(2017YFC1501604)
National Natural Science Foundation of China (41875114)
Shanghai Science&Technology Research Program (19dz1200101)
Fundamental Research Funds of the STI/CMA (2020JB06)。
