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
A command-line agent that automates preparation of analysis-ready climate grids (NetCDF) for East Africa: it accepts country, variable, scenario and year-range, downloads missing source data, merges/yearly files, regrids to a consistent 0.25° grid, clips to country boundaries, validates outputs and writes a structured manifest/audit trail. Intended users: impact modellers (ILRI Climate Services) working on food security, livestock and drought risk in Ethiopia, Kenya and Somalia, and others needing harmonized historical and projection climate inputs. Key features: supports tas, rh, vpd, pr; historical/ssp245/ssp585; connectors for AgERA5, CHIRPS, ISIMIP; DAG planner and orchestrator; schema/time/spatial/anomaly checks; resume, dry-run, fast mode, parallel workers; provenance manifests and delivery export.
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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