API Client for CHIRPS

Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)

This is a package to access the ClimateSERV API

ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.

Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)

A python library designed for downloading and managing hydro-meteorological data sourced from satellites and global models.

Workflow to Downscale Climate Projections

Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats

Landing académica sobre la tesis de Guillermo S. Fuentes-Jaque acerca de precipitación mensual en alta resolución en el desierto de Atacama a partir de productos CHIRPS.

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).

Sources and standardizes open data (CHIRPS NASA POWER GEE iSDA)

A production-grade climate data platform for ingesting CHIRPS precipitation raster TIFF files, preprocessing them, converting them to Zarr format, and supporting efficient querying at TB-scale.

A geospatial data pipeline for agricultural drought monitoring in Africa. This project calculates standardized indices (SPI, SPEI, SSI) using ERA5-Land and CHIRPS data to model crop stress, seasonal correlations, and parametric insurance triggers for Maize and Teff systems.

Herramienta de Hydro-Intelligence para balances hídricos globales. Usa Google Earth Engine (GEE) y Python para procesar series CHIRPS (0.05°) y ERA5-Land. Implementa un buffer de 5.5 km de diámetro para coincidir con la resolución nativa del píxel (Escala 1:1), garantizando precisión en el cálculo de P, ETP.

Calibrated Early-warning and Risk Estimation System: Automated probabilistic forecasting system for acute food insecurity. Generates 90-day ahead probability estimates of IPC Phase 3+, 4+, and 5 conditions for 43 high-risk countries, updated weekly. Fuses six data streams. Free for humanitarian and academic use.

Climate–Health Vulnerability Index (CHVI) for Nigeria: a reproducible GIS-based research framework for investigating climate-health vulnerability through the integration of climate hazards, population exposure, healthcare accessibility, transportation accessibility, settlement morphology, and adaptive capacity indicators.