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20232026
most citedFengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation

13 citations · 50 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive Controller

Zhibin Wen, Tao Han, Lei Bai +2

Large reasoning models improve performance on challenging problems by allocating additional computation before answering, but longer reasoning does not always lead to better result…

cs.LG2026

UniGIO: Unified Generative Global In-situ Weather Modeling from Spatiotemporal Incomplete Observations

Songru Yang, Zili Liu, Tao Han +7

Global In-situ Observation (GIO) provides fine-scale, direct records of the global weather system from sparse point stations, making it an indispensable source for capturing locali…

cs.LG2026

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling

Songru Yang, Zili Liu, Tao Han +7

Global Station Weather Forecasting (GSWF) is pivotal for localized and extreme weather prediction over key regions. Despite efforts to exploit look-back windows, existing methods s…

cs.LG2026

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges

Ruize Li, Zhibin Wen, Tao Han +5

Accurate evaluation of weather forecasting models is critical for their reliable deployment in real-world applications. However, existing benchmarks predominantly rely on reanalysi…

cs.CV2026

Earth-o1: A Grid-free Observation-native Atmospheric World Model

Junchao Gong, Kaiyi Xu, Wangxu Wei +22

Despite the unprecedented volume of multimodal data provided by modern Earth observation systems, our ability to model atmospheric dynamics remains constrained. Traditional modelin…