Cameroon vs Chad

Cameroon vs Chad: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 1.1 nights, or 1 times that in Chad.

Watch it change on the map

nights a year · CMIP6

Cameroon vs Chad: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 1.1 nights, or 1 times that in Chad.
CameroonChadCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon has been higher since 2011, when it overtook Chad.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cameroon at 324.2 nights and Chad at 273.4 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonChad
2014238.7237.6
2013236.7231.8
2012242.2237.9
2011237.6236.2
2010230.4234.8
2009226.6231.5
2008223.1230.8
2007222.1229.6
2006220.1229.5
2005216.1228.8
2004217.6228
2003221230.9
2002215.5229.8
2001223230.2
2000210226.4
1999200.5225.1
1998203.5222.9
1997202226.3
1996190222.4
1995187.3222.3
1994183.1221.4
1993165.2215.6
1992156.7214.4
1991192.6223
1990200.7222.8
1989187.5220
1988185.8219.9
1987182.7218.4
1986188.9222.6
1985173.2218
1984172.9216.1
1983165.5213.7
1982176.3214.8
1981182.6218.1
1980173.6215
1979175.8214.5
1978172.8216
1977175.7216.2
1976164.5215.7
1975159.5212.2
1974166.8213.8
1973170.4216.9
1972165.2215.2
1971161.3212.6
1970164.4214.3
1969160210.3
1968157.8212.8
1967147.9209.1
1966156.5210.8
1965151.6210.3
1964143.1210.6
1963145.9207.5
1962171.8214.7
1961167.2212.3
1960176.2217.3
1959166.5212.5
1958169.2213.8
1957168.2214
1956160213.4
1955163.7213.8
1954167.6214.3
1953168.2211.3
1952165.7213.1
1951172.8213.8
1950162.8213.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonChad
2015242.2196.9–270.8235.8215.6–253.1
2016237.7192.1–259.9233.3212.8–247.7
2017245.8205.7–271.3237.6218.6–253.1
2018245.7208–270.5235.8217.8–254.4
2019243.7200.2–275.6235.2213.3–255.6
2020246.4210.4–278237217.1–255
2021255.2220.2–279.6239.6220–258.2
2022255.8221–285.7240.4223.1–258.2
2023254.5221.7–284.1239.1216.7–256.4
2024263225.8–286.8246.7227.6–261.2
2025257.3222.7–293.9243.2223.9–259.4
2026260.4211.9–292242.9220.8–260.9
2027258.5223.8–291.5242.3221.2–258.6
2028266.9235.5–294.7242.7225.4–259.7
2029269.9242.3–293.5246.3227.2–264.1
2030266.6229–293.5244.7225.8–261.1
2031273.2229.9–298.5246.8224.7–264.8
2032269.8240.6–296.2244.3226.5–260.2
2033271.8235.6–303.4247.6228.7–266.1
2034268.1239.2–299.1247.8224.9–263.9
2035277.5241.5–302.7250.9230.3–268.9
2036275.7235.1–301.3246.7226.3–264.1
2037283.5252.3–305.9249.9230.3–266.2
2038285.8258–307.9252.4233.4–268.7
2039280.9250.4–305.8250230.8–267.5
2040279.5252.1–310.6248.9227–266.8
2041284.5254.6–309.9252230–270.9
2042284.8253.6–313.2250.4232–271.8
2043281.2251.4–309.8251.1232–265.5
2044283.8244.4–312.3251.4230.2–271.3
2045286.8253.7–311.4252.3230.8–270.2
2046296.1260.6–318.1253.6231.9–272.3
2047294.3260.7–316.6254.6236.7–274.4
2048297.3265.6–318.1254.4236.6–273.6
2049298.3267.8–318.1256235.4–272
2050296.9267.9–322.7255.9234.4–276.1
2051297.8266.7–319.9256.1237.8–275.9
2052298.7270.1–322.3258.3237.1–273.9
2053297.7261.3–321.7255.9234.9–275
2054301.2268.2–324.6260.6233–279.6
2055301.3276.5–324.3259.9239.1–276.6
2056302.1270.4–329.2259.4233.3–279
2057305.4277.7–327.4262.5240.8–278.4
2058302.6272.1–325.2259.3239.2–275.5
2059306.2279.6–330.1263.7240.5–282.9
2060306.1276.1–331.1259.3239.3–280
2061304.4267.2–329.7261.1240.7–281.2
2062307.6266.2–332.2261.4238.1–281.4
2063309.1272.5–328.8263.4239.6–278.6
2064308.5278.7–331263.9244.3–283.2
2065311.3284.1–329.6263.7247.7–283.1
2066311.9284–332.7265.2245.7–285.6
2067310.1271.7–335.6262.5242.8–283.8
2068312.9278.7–335266.8241.4–286.3
2069310.4278.4–333.4262.7242.8–283.1
2070309.8281.2–334.9264.9243.5–284.9
2071316.4282.3–336267.9248.5–286
2072315.4289.2–335.3269.2246.8–285.6
2073314282.6–339.5263.7241.6–284.2
2074311.7281.9–336.8264239.7–285.1
2075314.8285.3–335.3266.5246.7–287
2076315.2284.7–338.4267.8245.8–285.7
2077318.2289.7–341.4269.5247.1–290.8
2078315.8286.4–338.5268.6247.9–286.4
2079317.7287.8–337.5266.4247.9–286.3
2080321.5285.9–341.7269.4249.6–289.4
2081318.7290–339267.4247.1–291.8
2082316.2289–337.7266.7249.2–286.8
2083317.7288.2–341.6269.8248.9–287.6
2084318.5284.5–342.1268.4243.4–289.7
2085323.4294–342.7270.8251.2–287.4
2086319.5292.3–343270.6249.6–291.5
2087318292.7–342.5266.3246.2–289.2
2088320.4288.1–342269.2245.6–290.7
2089320.1289.6–340.7270.4251.1–289
2090322.4292.8–342.6270.9245.5–291.1
2091322.6289.9–345271.3246.1–293.5
2092324.9291.6–343.6270.6248.3–291.9
2093322.3299.7–342.6272.4254.3–289.2
2094324299.3–343.4274254.8–290.2
2095326.4300.2–346.4273.5251.8–291.6
2096322.1294.4–346.4273.9252.1–292.5
2097320.9287.4–342.5270.8246–292.1
2098323.1293.8–344.4271.1248.3–290.6
2099322.6295.7–344.2271.8250.5–291.1
2100324.2293.6–346.6273.4254–291.9

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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