Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting

Author:

Lu Deyu123ORCID,Ding Ruiqiang4,Mao Jiangyu1,Zhong Quanjia12,Zou Qian13

Affiliation:

1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics, Chinese Academy of Sciences Beijing China

2. Shanghai Typhoon Institute, China Meteorological Administration Shanghai China

3. College of Earth Science, University of Chinese Academy of Sciences Beijing China

4. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University Beijing China

Abstract

AbstractMany meteorological centers have operationally implemented global model‐based ensemble prediction systems (GEPSs), making tropical cyclone (TC) forecasts from these systems available. The relatively low resolution of these GEPSs means that limits previous studies primarily focused on TC track forecasting. However, recent GEPS upgrades mean that TC intensity predictions from GEPSs are now also becoming of interest. This study focuses on the verification and comparison of the latest generation of GEPSs for TC intensity forecasts, particularly during the rapid intensification (RI) period over the western North Pacific (WP), eastern North Pacific (EP), and North Atlantic (NA) basins in 2021–2022. On average, the National Centers for Environmental Prediction (NCEP) GEPS performed best in predicting both TC intensity and RI across all three basins. Nevertheless, the exact timing of RI remains highly uncertain for these GEPS, indicating significant limitations in using GEPSs to forecast RI.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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