YonSci/climate-agent
climate-agent is a command-line Python tool that automates the full pipeline for acquiring, processing, and validating climate datasets — primarily for East Africa impact modelling at ILRI (the International Livestock Research Institute).
SUMMARY AI summary by gpt-5-mini
このリポジトリは、東アフリカ向けに観測と投影の気候データを解析準備済みのNetCDFに自動変換するコマンドラインツールです。対象は主に食料・家畜・干ばつの影響評価を行うインパクトモデラーで、ILRI等の現場利用を想定しています。国（エチオピア・ケニア・ソマリア）、変数（気温tas・相対湿度rh・蒸気圧差vpd・降水pr）、シナリオ（historical, ssp245, ssp585）、任意の年範囲を指定すると、必要なデータを自動で取得・マージ・再格子化（0.25°出力）・国境クリップ・単位・時間・空間の検証を行い、処理履歴を構造化したマニフェストに記録します。アーキテクチャはリクエスト→ワークフロープラン→DAG実行（サブプロセス呼び出し）→多段階バリデーション→ラン記録で構成され、ダウンロードコネクタ（AgERA5/CHIRPS/ISIMIP）、検証モジュール、再開・ドライラン・エクスポート機能を備えています。
AI Coding Tools Used
This repository contains config files from these AI coding tools, indicating AI-assisted development.
GitHub Topics
Language breakdown (by bytes)
Owner
Passionate about working on topics related to Data Science, Machine learning, AI, GIS, Remote sensing, Climate, and hydrology.
Dates
| Created on GitHub | 2026-05-07 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 16:11 |
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