Cameroon vs Malawi

Cameroon vs Malawi: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 100.6 nights, or 1.73 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Cameroon vs Malawi: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 100.6 nights, or 1.73 times that in Malawi.
CameroonMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cameroon at 324.2 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonMalawi
2014238.7138.1
2013236.7138.9
2012242.2137.4
2011237.6136.6
2010230.4132.4
2009226.6131.4
2008223.1130.8
2007222.1132.8
2006220.1129.8
2005216.1129.5
2004217.6133.4
2003221132.5
2002215.5130.3
2001223134
2000210126.6
1999200.5124.8
1998203.5127.1
1997202124.2
1996190121.3
1995187.3120.9
1994183.1118.4
1993165.2113.8
1992156.7114.1
1991192.6120.9
1990200.7123.8
1989187.5120.5
1988185.8120.8
1987182.7118.8
1986188.9121.1
1985173.2115.7
1984172.9116.2
1983165.5115.5
1982176.3115.1
1981182.6119
1980173.6116.9
1979175.8117.7
1978172.8114.8
1977175.7117.2
1976164.5114
1975159.5114
1974166.8115.2
1973170.4114.7
1972165.2113.8
1971161.3114.1
1970164.4115.8
1969160114.3
1968157.8110
1967147.9109.8
1966156.5111
1965151.6111.5
1964143.1106.3
1963145.9107.5
1962171.8114.7
1961167.2116
1960176.2117.4
1959166.5115.6
1958169.2116.4
1957168.2114.6
1956160111.4
1955163.7115.2
1954167.6113.9
1953168.2113
1952165.7113.5
1951172.8113.5
1950162.8112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonMalawi
2015242.2196.9–270.8145.7126.7–164.3
2016237.7192.1–259.9139.8122.6–157.4
2017245.8205.7–271.3143.6127–161.8
2018245.7208–270.5143.1124.6–162.6
2019243.7200.2–275.6143.8128.3–161.4
2020246.4210.4–278145127.3–165.8
2021255.2220.2–279.6145.3128–163.6
2022255.8221–285.7151130.1–169.1
2023254.5221.7–284.1149.2129.5–171.2
2024263225.8–286.8152.4130–172.6
2025257.3222.7–293.9151.1129.7–170.4
2026260.4211.9–292151.1126.2–173.8
2027258.5223.8–291.5154.4135.1–173.1
2028266.9235.5–294.7155.5134.6–174
2029269.9242.3–293.5159.8139.2–178.5
2030266.6229–293.5155.6138.7–174.5
2031273.2229.9–298.5161.1143.4–177.6
2032269.8240.6–296.2160.8141.3–181.3
2033271.8235.6–303.4161.3135.6–179.2
2034268.1239.2–299.1160.9138.9–185
2035277.5241.5–302.7164.3140.4–189.5
2036275.7235.1–301.3163.8137.6–182.5
2037283.5252.3–305.9166.9144.6–189.2
2038285.8258–307.9172.2148.4–191.2
2039280.9250.4–305.8164.8147.3–188.2
2040279.5252.1–310.6164.4146.4–189.7
2041284.5254.6–309.9169.3143.7–192.5
2042284.8253.6–313.2169.8146.3–197.8
2043281.2251.4–309.8167.5147.1–193.2
2044283.8244.4–312.3172.6148.3–197
2045286.8253.7–311.4170.4153.1–194.7
2046296.1260.6–318.1176.3151.2–203.1
2047294.3260.7–316.6178.7157.8–200.9
2048297.3265.6–318.1180.7158.9–204.1
2049298.3267.8–318.1176.7154–205.4
2050296.9267.9–322.7180.4155.2–204.9
2051297.8266.7–319.9182.9162.1–207.4
2052298.7270.1–322.3184.9163.2–209.6
2053297.7261.3–321.7177.2149.6–207.4
2054301.2268.2–324.6185.1157.1–208
2055301.3276.5–324.3186.1159.2–212.6
2056302.1270.4–329.2184.6158.5–214.3
2057305.4277.7–327.4184.7159.3–212.3
2058302.6272.1–325.2188.5163.8–214.7
2059306.2279.6–330.1189.8166.9–218.5
2060306.1276.1–331.1192.6163.4–218.1
2061304.4267.2–329.7186.4158.8–216.8
2062307.6266.2–332.2192.3163.9–218.6
2063309.1272.5–328.8189.2165.2–220.3
2064308.5278.7–331197161.3–218
2065311.3284.1–329.6193.1165.8–225.2
2066311.9284–332.7201170.1–224.7
2067310.1271.7–335.6193.1164.2–223.7
2068312.9278.7–335198.6163.7–227.1
2069310.4278.4–333.4199.4165.8–225
2070309.8281.2–334.9198.7168–226.7
2071316.4282.3–336199.3167.9–233.5
2072315.4289.2–335.3202.3173.2–226.2
2073314282.6–339.5205.4168.2–233.4
2074311.7281.9–336.8198.2175.4–227.7
2075314.8285.3–335.3199.6168.9–228.3
2076315.2284.7–338.4198.8169.8–225.2
2077318.2289.7–341.4202172.2–231.2
2078315.8286.4–338.5203.5175.8–232.1
2079317.7287.8–337.5203.6172.2–236.1
2080321.5285.9–341.7204.7172.2–234.3
2081318.7290–339202.2174.9–231.3
2082316.2289–337.7204.3178.3–228.6
2083317.7288.2–341.6205.8170.7–238.3
2084318.5284.5–342.1208.1175.9–235.6
2085323.4294–342.7211.1179.4–241
2086319.5292.3–343203.3175.4–237
2087318292.7–342.5205.3181.2–237.7
2088320.4288.1–342211.6174.7–240.6
2089320.1289.6–340.7208.9180.5–237.8
2090322.4292.8–342.6209.4173.4–243
2091322.6289.9–345214.3179.7–244.8
2092324.9291.6–343.6213.2176.8–242.3
2093322.3299.7–342.6212.5177.8–242.2
2094324299.3–343.4211.8179.7–241.5
2095326.4300.2–346.4216.9185–243.8
2096322.1294.4–346.4213.1182–247.6
2097320.9287.4–342.5210.8174.9–242.1
2098323.1293.8–344.4214.4181.5–242.2
2099322.6295.7–344.2213.5181.9–244.1
2100324.2293.6–346.6213.3181.5–246.3

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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