5 citations · 9 across the 3 of their papers we have counts for
4 papers
Butterfly Effect Confirmed in Global AI Weather Models: Evidence from Tropical Cyclone Forecasting
Jeremy Cheuk-Hin Leung, Daosheng Xu, Weiye Yu +9
A paradox recently emerged in artificial intelligence (AI) weather prediction research. While some claim AI weather models cannot simulate atmospheric butterfly effect, this confli…
Accurate typhoon intensity forecasts using a non-iterative spatiotemporal transformer model
Hongyu Qu, Hongxiong Xu, Lin Dong +2
Accurate forecasting of tropical cyclone (TC) intensity - particularly during periods of rapid intensification and rapid weakening - remains a challenge for operational meteorology…
AI Models Still Lag Behind Traditional Numerical Models in Predicting Sudden-Turning Typhoons
Daosheng Xu, Zebin Lu, Jeremy Cheuk-Hin Leung +10
Given the interpretability, accuracy, and stability of numerical weather prediction (NWP) models, current operational weather forecasting relies heavily on the NWP approach. In the…
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu, Yutong Xiong, Ming Wu +3
Weather forecasting is one of the cornerstones of meteorological work. In this paper, we present a new benchmark dataset named Weather2K, which aims to make up for the deficiencies…