2 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2024★ 2 cited
CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction
Longhao Wang, Xuanze Zhang, L. Ruby Leung +4
Accurate prediction of global sea surface temperature at sub-seasonal to seasonal (S2S) timescale is critical for drought and flood forecasting, as well as for improving disaster p…
physics.ao-ph2024★ 2 cited
YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables
Pengbo Xu, Xiaogu Zheng, Tianyan Gao +9
Recently, artificial intelligence-based (AI-based) models for forecasting of global weather have been rapidly developed. Most of the global models are trained on reanalysis dataset…