1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
S2SServiceBench: A Multimodal Benchmark for Last-Mile S2S Climate Services
Chenyue Li, Wen Deng, Zhuotao Sun +9
Subseasonal-to-seasonal (S2S) forecasts play an essential role in providing a decision-critical weeks-to-months planning window for climate resilience and sustainability, yet a gro…
CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows
Hyeonjae Kim, Chenyue Li, Wen Deng +4
Climate science demands automated workflows to transform comprehensive questions into data-driven statements across massive, heterogeneous datasets. However, generic LLM agents and…
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
Chenyue Li, Wen Deng, Mengqian Lu +1
The rapid advancements in large language models (LLMs), particularly in their reasoning capabilities, hold transformative potential for addressing complex challenges and boosting s…
On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
Lujia Zhang, Hanzhe Cui, Yurong Song +3
Most state-of-the-art AI applications in atmospheric science are based on classic deep learning approaches. However, such approaches cannot automatically integrate multiple complic…