Explore historical and projected climate data, climate data by sector, impacts, key vulnerabilities and what adaptation measures are being taken. Explore the overview for a general context of how climate change is affecting Sudan.

Climate Data Projections

The climate science community sources a suite of global climate models to help decision makers understand the projections of future climate change and related impacts, among the most widely used are the Coupled Model Intercomparison Project, Phase 5 (CMIP5) models included in the IPCC's Fifth Assessment Report (AR5). Key projected climate trends are summarized below:


  • Average annual temperatures in Sudan are expected to rise significantly, relative to baseline expectations.
  • By 2050, average temperatures are forecast to increase by between 0.5°C to 3°C nationally, with more extreme increases in northern regions.
  • Greater warming is forecast to occur during summer (1.5°C to 3.1°C in August by 2060) than winter (1.1°C to 2.1°C in January by 2060).
  • Temperature increases are forecast to intensify the impacts of drought through increased evapotranspiration and reduced available soil moisture.


  • Forecast changes in precipitation for Sudan are more uncertain than temperature predictions, with results showing both wetter and drier possible future conditions.
  • It is possible that average monthly rainfall decreases during the rainy season.
  • Model projections for northern Sudan are inconsistent in changes in rainfall, while there is higher confidence in southern Sudan of an increase in intense precipitation.
  • However, forecasts more consistently indicate increased variability and unpredictability in seasonal rainfall and increased incidences and intensity of drought.

This section provides the options to visualize climate variables and indices derived from scientifically vetted CMIP5 projections for different timeframes, statistics, emission scenarios, and climate models.

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Use the menu above to visualize different climate projection layers and chart data. Click on the map to get location specific data.