aiBACKGROUND
MZ-Rain: Moisture-Budget-Guided Zero-Inflated Model for Station-Level Precipitat
BACKGROUND
1 SIGNALFIRST DETECTED 7 September 2026
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How the story developed
7 Sept
MZ-Rain: Moisture-Budget-Guided Zero-Inflated Model for Station-Level Precipitation Nowcasting
REPORT · WHAT · ArXiv CS.AI
Other feeds and industry voices
27 Mar
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
arXiv:2603.25046v1 Announce Type: new Abstract: Precipitation forecasting remains a persistent challenge in tropical regions like Vietnam, where complex topography and convective
REPORT · WHERE · ArXiv CS.AIOPEN STORY
17 Jul
TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling
arXiv:2607.13101v1 Announce Type: cross Abstract: Global Station Weather Forecasting (GSWF) is pivotal for localized and extreme weather prediction over key regions. Despite
REPORT · HOW · ArXiv CS.AIOPEN STORY
30 Mar
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
arXiv:2603.25779v1 Announce Type: cross Abstract: Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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