agumase/East-African-short-rains-forecasting

Python code for OND rainfall anomaly, climatology analysis and seasonal forecasting over East Africa using ERA5, GPCP, and C3S, with ENSO and IOD diagnostics # East-African-short-rains-forecasting 📌 About This repository contains the code used in the article: “Seasonal Forecasting of East African Short Rains” Tefera et al., 2025: nature.com. it also found in 'Code availability' in this paper zenodo.org It provides a reproducible workflow for analyzing OND (October–December) rainfall variability over East Africa using observational datasets and climate model outputs.Python code for OND rainfall anomaly, climatology analysis and seasonal forecasting over East Africa using ERA5, GPCP, and C3S, with ENSO and IOD diagnostics 👨‍🔬 Authors Agumase K. Tefera (PhD) ORCID: (orcid.org 0000-0003-1456-2189e) 📂 Repository Structure 🔹 Preprocess.ipynb Preprocesses raw NetCDF data from the Copernicus Climate Change Service (C3S). Extracts relevant variables Reduces dataset size Prepares inputs for analysis 🔹 Calculations.py Core analysis script used in the study: Climatology computation Anomaly calculation Correlation analysis Statistical diagnostics (e.g., ENSO/IOD relationships) 🔹 Figures.ipynb Generates all figures presented in the paper:nature.com Spatial maps (rainfall anomalies, climatology) Composite analysis plots Visualization of ENSO/IOD impacts