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Climate data science

topic1 events
papersTODAY 04:00 UTC

ClimateAgent: Multi-Agent Orchestration for Climate Data Science Workflows

Researchers present ClimateAgent, a system that coordinates multiple LLM-based agents to carry out climate data science tasks. The work argues that general-purpose agents and fixed script pipelines lack the domain context needed for large, varied climate datasets, and proposes an orchestration approach tailored to that setting. It is a revised arXiv preprint (v2) in machine learning.

agents/multi-agent/climate/research