Zotahina-Rakotomahefa/africa-climate-projections-cmip6
Domain:
climateCreator:
Zot
Host:
CMIP6 climate projection analysis for Africa using Python (temperature, precipitation, anomalies, uncertainty analysis)
# CMIP6 Climate Projection Analysis for Africa
---
## Overview
This project provides a complete workflow for analyzing **historical and future climate projections over Africa using CMIP6 climate models**.
The pipeline processes NetCDF climate data, computes climatologies, generates future projections, evaluates model uncertainty, and produces scientific visualizations suitable for climate research and decision support.
The analysis focuses on two key climate variables:
- Surface temperature
- Precipitation
Future climate projections are evaluated using the **SSP245** and **SSP585** scenarios.
The project demonstrates a modular and reproducible climate analysis workflow using Python and open-source geospatial tools.
---
## Objectives
The main objectives of this project are:
- Compute historical climatology (1985–2014) from CMIP6 models
- Analyze future climate projections (2040–2069)
- Calculate temperature and precipitation anomalies
- Produce seasonal climate maps (DJF, JJA)
- Evaluate inter-model uncertainty
- Generate scientific figures for climate analysis
---
## Project structure
```
cmip6-madagascar-projection/
├── data/
├── boundaries/
├── processed/
├── raw/
└── regridded/
├── notebooks/
├── 01_preprocessing.ipynb
├── 02_historical_analysis.ipynb
├── 03_future_analysis.ipynb
└── 04_uncertainty_analysis.ipynb
├── outputs/
├── figures/
└── uncertain/
├── src/
├── __init__.py
├── climatology.py
├── config.py
├── data_loader.py
├── ensemble.py
├── masking.py
├── preprocessing.py
├── regridding.py
├── uncertainty.py
└── visualization.py
├── requirements.txt
└── README.md
```
---
## Technologies Used
The project relies on the following Python ecosystem:
- Python
- Xarray
- NumPy
- Matplotlib
- Cartopy
- GeoPandas
- NetCDF4
These tools enable efficient processing of large climate datasets.
---
## Data Sources
Climate projections are derived from the **CMIP6 (Coupled Model Intercomparison Project Phase 6)** archive.
Variables anal …
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