Cameroon vs Sudan

Cameroon vs Sudan: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 3.7 nights, or 1.02 times that in Cameroon.

Watch it change on the map

nights a year · CMIP6

Cameroon vs Sudan: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 3.7 nights, or 1.02 times that in Cameroon.
CameroonSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher since 2013, when it overtook Cameroon.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cameroon at 324.2 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonSudan
2014238.7242.4
2013236.7240
2012242.2242
2011237.6242.2
2010230.4240.6
2009226.6236.5
2008223.1237.1
2007222.1236
2006220.1235.3
2005216.1233.1
2004217.6233.5
2003221235.6
2002215.5234.7
2001223235.4
2000210230.5
1999200.5232.1
1998203.5230.2
1997202231.1
1996190227.3
1995187.3227.8
1994183.1225.3
1993165.2219.1
1992156.7217.8
1991192.6227.3
1990200.7227.5
1989187.5223
1988185.8223.1
1987182.7224.4
1986188.9226.4
1985173.2222.1
1984172.9220.7
1983165.5217
1982176.3216.3
1981182.6223.2
1980173.6220
1979175.8218.4
1978172.8218.5
1977175.7219.3
1976164.5220.1
1975159.5215.7
1974166.8217.5
1973170.4220
1972165.2217.9
1971161.3215.5
1970164.4217
1969160213.1
1968157.8214
1967147.9210.3
1966156.5213.3
1965151.6213.4
1964143.1213.2
1963145.9210.1
1962171.8217
1961167.2216.9
1960176.2221.3
1959166.5217.8
1958169.2216.2
1957168.2218.9
1956160217.2
1955163.7216.6
1954167.6218.9
1953168.2215.1
1952165.7216.4
1951172.8218.5
1950162.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonSudan
2015242.2196.9–270.8242.3225.3–258.3
2016237.7192.1–259.9241.4223.3–254.1
2017245.8205.7–271.3243.2223–259.1
2018245.7208–270.5242.3226.4–258.5
2019243.7200.2–275.6243.1221.7–260.4
2020246.4210.4–278244.9225.9–261.7
2021255.2220.2–279.6245.6229.1–261.5
2022255.8221–285.7249230.9–262.3
2023254.5221.7–284.1247.1226.8–263.1
2024263225.8–286.8251.5232.8–266.1
2025257.3222.7–293.9250.7232.4–265.6
2026260.4211.9–292250230.8–266.6
2027258.5223.8–291.5248.8228.4–265.6
2028266.9235.5–294.7249232.2–263.1
2029269.9242.3–293.5251.4232.1–266
2030266.6229–293.5252235.4–266.7
2031273.2229.9–298.5253.3234.4–268.9
2032269.8240.6–296.2250.4232.3–266.6
2033271.8235.6–303.4254.4235.3–269.4
2034268.1239.2–299.1254.2234.5–269.9
2035277.5241.5–302.7258.3240.2–273.6
2036275.7235.1–301.3252.8235.6–268.6
2037283.5252.3–305.9256.7238.6–271.8
2038285.8258–307.9258.7244.8–272.1
2039280.9250.4–305.8259.5241.2–272.5
2040279.5252.1–310.6256.4236.7–272.3
2041284.5254.6–309.9259.1241.2–274.5
2042284.8253.6–313.2258.7242–274.7
2043281.2251.4–309.8258.1240.3–272.6
2044283.8244.4–312.3257.3238.6–274.7
2045286.8253.7–311.4258.8243.1–276.2
2046296.1260.6–318.1261.1241.7–277.6
2047294.3260.7–316.6261.4244.6–278.4
2048297.3265.6–318.1260.4243.4–279.5
2049298.3267.8–318.1261.9242.6–275.9
2050296.9267.9–322.7263.5245.4–279
2051297.8266.7–319.9263.6246.6–278.8
2052298.7270.1–322.3263.8248.7–278.3
2053297.7261.3–321.7262.8242.4–279.2
2054301.2268.2–324.6266.3246.6–282.9
2055301.3276.5–324.3265.6245.9–281.4
2056302.1270.4–329.2264.1242.6–281.5
2057305.4277.7–327.4266.4247.6–283.4
2058302.6272.1–325.2265.2247.4–280.3
2059306.2279.6–330.1268.4249.6–285.4
2060306.1276.1–331.1263.6246.7–284.4
2061304.4267.2–329.7266.9250.1–281.9
2062307.6266.2–332.2266.4248.5–285
2063309.1272.5–328.8267.1246.9–283.4
2064308.5278.7–331269250.7–284.7
2065311.3284.1–329.6269.8253.9–285.6
2066311.9284–332.7271.4251.9–287.3
2067310.1271.7–335.6270.9250–288.4
2068312.9278.7–335271.9251.7–289.8
2069310.4278.4–333.4268251.1–286.2
2070309.8281.2–334.9269252.3–285.8
2071316.4282.3–336275.5254.1–290.4
2072315.4289.2–335.3273.3254.2–289.4
2073314282.6–339.5271.9250.7–287.6
2074311.7281.9–336.8270.9249–290.1
2075314.8285.3–335.3273.1254–291.9
2076315.2284.7–338.4272.7255.2–290.9
2077318.2289.7–341.4274.6255.2–292.7
2078315.8286.4–338.5274.3255.6–291.2
2079317.7287.8–337.5272255.2–288.5
2080321.5285.9–341.7276.6256–292.2
2081318.7290–339275.1254.1–294.8
2082316.2289–337.7272.9258.7–288.6
2083317.7288.2–341.6276.5258–291.7
2084318.5284.5–342.1275.4253–294.9
2085323.4294–342.7275.3258.6–291.6
2086319.5292.3–343276.4256.9–296.6
2087318292.7–342.5273.5253.1–293.3
2088320.4288.1–342273.6253.7–293.6
2089320.1289.6–340.7276.5256.6–293.4
2090322.4292.8–342.6276.6256.4–294.6
2091322.6289.9–345277.4256.4–296.6
2092324.9291.6–343.6274.6254.3–294.9
2093322.3299.7–342.6278261.9–292.1
2094324299.3–343.4280.3262.2–294
2095326.4300.2–346.4277.5262.6–294
2096322.1294.4–346.4279.7258.7–297
2097320.9287.4–342.5276.3254.1–297.6
2098323.1293.8–344.4277.7258.2–295.5
2099322.6295.7–344.2276.8257.2–296.2
2100324.2293.6–346.6278.6259–294.3

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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