extreme event prediction 1missing data robustness 1state space models 1time series modeling 1weather forecasting 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling
Songru Yang, Zili Liu, Tao Han +7
The paper introduces a Triaxial State Space Model that leverages period‑aligned historical weather data and a temporal‑variable‑historical paradigm to improve global station weathe…
cs.LG2025
WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast
Songru Yang, Zili Liu, Zhenwei Shi +1
Global Station Weather Forecasting (GSWF), a prominent meteorological research area, is pivotal in providing timely localized weather predictions. Despite the progress existing mod…