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 Bhutan.

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)


  • Climate models estimate that the average annual temperature will increase by 1.9°C by 2040-2059 and 3.94°C by the end of the century.
  • Maximum temperatures are projected to increase by 1°C to 2°C 2040-2059, reaching average monthly temperatures near 30°C in summer months. Areas in the south are likely to reach higher temperatures.
  • The average number of ice days, days when the maximum temperature is 0°C, are projected to decrease by 8.1 to 9.7 days in the country but may decrease by as many as 57 days in northern areas.
  • The number of projected summer days (temperatures above 25°C) will increase by 40-86 days and tropical nights (temperatures above 20°C) will increase by 42-73 days by the end of the century.


  • In a business as usual scenario, average monthly precipitation is expected to increase by 6 mm in the period 2040-2059 and 21 mm in the 2080-2099.
  • Precipitation changes are expected to be higher in the southern, humid sub-tropical regions and lower in the northern parts of the country.
  • Projections estimate that days with more than 50 mm rainfall will increase by 3.34 days by the end of the century.
  • Maximum 5-day daily rainfall is expected to increase by 161.5 mm for 10-year return events and 245.2 for 25-year return events.

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.