District-level Rainfall Forecasts (Nov 2025 - Dec 2026)
The Challenge: Uganda's economy and food security rely heavily on rain-fed agriculture. However, climate variability creates uncertainty for farmers, leading to risks like crop failure from unexpected droughts or loss from flash floods.
Our Solution: We utilized 44 years of historical climate data (ERA5 & CHIRPS) to train a machine learning model (Random Forest). This model predicts monthly rainfall for every single district in Uganda for the next 14 months.
Why Trust It? Our model correctly reproduces Uganda's two rainy seasons (MAM & SON) and accounts for regional differences, performing 36% better than standard historical averages.
National Trend
Captures Bimodal Seasonality
Spatial Analysis
Wettest vs. Driest Districts
Regional Trends
North, East, West and Central Regions' Trends
Accuracy
RMSE: ~43mm (Good)
ERROR!! The district requested isn't among the forecasted districts due to data scarcity, but enter any other neighboring district or check the district spelling for confirmation.
Region: Central
Total Forecast: 1200mm
Interactive: Zoom & Drag