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 Cameroon.

Climate Data Historical

Cameroon has one main rainy reason that lasts from May-November when the West African Monsoon brings moist air over the country from the Atlantic Ocean. The peak rainy months correspond with the lowest average temperatures of the year. The Southern Plateaus experience two shorter rainy seasons during May-June and October-November. Cameroon’s dry season lasts from December-April and corresponds with the highest average temperatures of the year during the latter part of the season in the months of February-April. The southern part of the country is characterized as humid and equatorial with temperatures ranging from 20-25°C (depending on altitude) and the wettest regions receiving more than 400 mm of rainfall per month. Northern Cameroon (north of 6°) is semi-arid and dry with temperatures ranging from 25-30°C. This portion of the country receives less than 100 mm of rainfall per month. 


  • Mean annual temperatures have increased 0.7°C since the 1960's, and have risen the most rapidly during March-May at a rate of 0.19°C per decade, over all of Cameroon.
  • The northern part of the country has seen the most rapid rise in temperatures during December-February and September-November at rates of 0.2-0.4°C per decade.


  • The average annual precipitation over Cameroon has decreased by 2.9 mm per decade since 1960.
  • A number of meteorological stations (Bamenda, Banyo, Bertoua, Douala Obs., Garoua, Meiganga, Poli, Yabassi) have captured decreasing trends in rainy season precipitation (May-November) in the Southwest, West, and Northern regions of Cameroon over the period of 1951-2000.

This section provides the options to visualize historical climate data for different timeframes via map and annual cycle chart.


Click on map to change chart data from country aggregated to site-specific data.