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20242026
most citedA Self-Evolving AI Agent System for Climate Science

3 citations · 6 across the 23 of their papers we have counts for

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6 papers · 1 filter

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…

cs.CV2026

OpenEarth-Agent: From Tool Calling to Tool Creation for Open-Environment Earth Observation

Sijie Zhao, Feng Liu, Xueliang Zhang +11

Earth Observation (EO) is essential for perceiving dynamic land surface changes, yet deploying autonomous EO in open environments is hindered by the immense diversity of multi-sour…

cs.CV2025

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xiaoyu Yue, Zidong Wang, Yuqing Wang +5

Recent studies have demonstrated the importance of high-quality visual representations in image generation and have highlighted the limitations of generative models in image unders…

cs.CV2025

Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents

Peilin Feng, Zhutao Lv, Junyan Ye +8

Earth observation (EO) is essential for understanding the evolving states of the Earth system. Although recent MLLMs have advanced EO research, they still lack the capability to ta…

cs.CV2025

OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data

Fengxiang Wang, Mingshuo Chen, Xuming He +15

Existing benchmarks for multimodal learning in Earth science offer limited, siloed coverage of Earth's spheres and their cross-sphere interactions, typically restricting evaluation…

cs.CV2024

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling

Junchao Gong, Siwei Tu, Weidong Yang +6

Precipitation nowcasting plays a pivotal role in socioeconomic sectors, especially in severe convective weather warnings. Although notable progress has been achieved by approaches…