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A2MC-elm: AI-driven Autonomous Calibration Workflow for Earth System Models

A2MC-elm is an intelligent adaptive multi-objective calibration workflow for E3SM land models (ELM-FATES, ELM-ReSOM, etc.). It leverages AI agents to enable autonomous parameter calibration, integrating interpretable diagnostics, RAG/GraphRAG knowledge retrieval, hypothesis-driven optimization, and adaptive memory mechanisms.

E3SMELMland modelAI AgentcalibrationRAGGraphRAGclimate modelingearth systemgithub
Published 2026-05-01 07:13Recent activity 2026-05-01 07:20Estimated read 1 min
A2MC-elm: AI-driven Autonomous Calibration Workflow for Earth System Models
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Section 01

导读 / 主楼：A2MC-elm: AI-driven Autonomous Calibration Workflow for Earth System Models

Introduction / Main Floor: A2MC-elm: AI-driven Autonomous Calibration Workflow for Earth System Models

A2MC-elm is an intelligent adaptive multi-objective calibration workflow for E3SM land models (ELM-FATES, ELM-ReSOM, etc.). It leverages AI agents to enable autonomous parameter calibration, integrating interpretable diagnostics, RAG/GraphRAG knowledge retrieval, hypothesis-driven optimization, and adaptive memory mechanisms.

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