CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows

arXiv:2511.20109 · cs.LG · Submitted 2025-11-25 · Read on arXiv

cs.LG

Submitted: 2025-11-25

Updated: 2026-09-14

Comments: 49 pages, 9 figures, 11 tables

Code: https://github.com/Relaxed-System-Lab/ClimateAgent

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Robustness — 12× in this paper · explained in 5 episodes
• Task Planning — 11× in this paper · explained in 2 episodes
• Tropical Cyclone — 11× in this paper
• Extreme Precipitation — 10× in this paper
• Core — 9× in this paper · explained in 2 episodes
• Atmospheric River — 8× in this paper
• Sea Surface Temperature — 7× in this paper
• Aggregation — 6× in this paper · explained in 1 episode
• Multi-Agent Framework — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Iterative Refinement — 5× in this paper · explained in 3 episodes
• Prompt Engineering — 5× in this paper · explained in 4 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Task Decomposition — 4× in this paper · explained in 2 episodes
• Agentic System — 3× in this paper · explained in 2 episodes
• European Centre for Medium-Range Weather Forecasts — 3× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• State Management — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Grounding — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Modularity — 2× in this paper · explained in 9 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Best-of-N Sampling — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• ECMWF S2S and Copernicus Data Store — 1× in this paper
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• DataSciBench: An LLM Agent Benchmark for Data Science

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