TSSM model enhances global station weather forecasting by addressing accuracy limitations through temporal-variable-historical modeling.
Read the original at arxiv.org→arXiv:2607.13101v1 Announce Type: new Abstract: Global Station Weather Forecasting (GSWF) is pivotal for localized and extreme weather prediction over key regions. Despite efforts to exploit look-back windows,...
Original headline: "TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling"