logo
ResearchBunny Logo
Evaluation of five global AI models for predicting weather in Eastern Asia and Western Pacific

Earth Sciences

Evaluation of five global AI models for predicting weather in Eastern Asia and Western Pacific

C. Liu, K. Hsu, et al.

Discover the latest in machine learning-based weather prediction! This study, conducted by a team of dedicated researchers, evaluates five cutting-edge models applied to Eastern Asia and the Western Pacific. FengWu takes the lead in accuracy, particularly for typhoon tracking. Don't miss out on these exciting findings from Cheng-Chin Liu, Kathryn Hsu, and their colleagues!

00:00
00:00
Playback language: English
Abstract
This study compares five global machine learning-based weather prediction (MLWP) models (Pangu-Weather, FourCastNet v2, GraphCast, FuXi, and FengWu) using identical ERA5 initial conditions in Eastern Asia and the Western Pacific from June to November 2023. FengWu showed the best performance, followed by FuXi and GraphCast, with FCN2 and Pangu-Weather ranking lower. A multi-model ensemble improved performance, rivaling FengWu. FengWu had the most accurate typhoon track predictions but the largest intensity errors.
Publisher
npj Climate and Atmospheric Science
Published On
Sep 28, 2024
Authors
Cheng-Chin Liu, Kathryn Hsu, Melinda S. Peng, Der-Song Chen, Pao-Liang Chang, Ling-Feng Hsiao, Chin-Tzu Fong, Jing-Shan Hong, Chia-Ping Cheng, Kuo-Chen Lu, Chia-Rong Chen, Hung-Chi Kuo
Tags
machine learning
weather prediction
typhoon tracking
ensemble modeling
Eastern Asia
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny