Comparative Climate Trends Across Moist Highland, Moist Lowland, and Arid Lowland Zones of Eritrea using CHIRPS Satellite Product (1992–2024)
# Comparative Climate Trends Across Moist Highland, Moist Lowland, and Arid Lowland Zones of Eritrea using CHIRPS Satellite Product (1992–2024)
## Overview
This repository contains the datasets, scripts, notebooks, and outputs developed for a comprehensive assessment of long-term rainfall variability across the major agroecological zones of Eritrea using the **Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS)** satellite precipitation product.
The study investigates and compares historical climate trends across the **Moist Highland**, **Moist Lowland**, and **Arid Lowland** ecological zones from **1992 to 2024**. The project integrates geospatial analysis, climate statistics, and satellite-derived rainfall observations to evaluate spatial and temporal rainfall variability, identify climate trends, and support climate adaptation and environmental decision-making.
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## Research Objectives
- Assess long-term rainfall trends across Eritrea (1992–2024).
- Compare precipitation characteristics among the Moist Highland, Moist Lowland, and Arid Lowland zones.
- Evaluate spatial and temporal rainfall variability using CHIRPS satellite observations.
- Generate climate trend maps and statistical summaries for each agroecological zone.
- Develop a reproducible geospatial workflow using Python and Google Colab.
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## Study Area
The study focuses on three major agroecological zones of Eritrea:
- Moist Highland
- Moist Lowland
- Arid Lowland
These ecological regions represent contrasting climatic environments that are important for understanding regional climate variability and rainfall dynamics.
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## Data
### Primary Dataset
- **Dataset:** CHIRPS Version 2.0
- **Variable:** Daily Rainfall
- **Spatial Resolution:** 0.05°
- **Temporal Coverage:** 1992–2024
- **Study Area:** Eritrea
### Additional Spatial Data
- Agroecological Zone Boundaries
- Administrative Boundaries
- Derived Spatial Products
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## Repository Structure
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