Cameroon vs Guinea

Cameroon vs Guinea: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 47.9 nights, or 1.2 times that in Cameroon.

nights a year · CMIP6

Cameroon vs Guinea: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 47.9 nights, or 1.2 times that in Cameroon.
CameroonGuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea 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 Guinea at 345.3 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonGuinea
2014238.7286.6
2013236.7285.3
2012242.2292.9
2011237.6288.8
2010230.4285.2
2009226.6282.5
2008223.1279
2007222.1278.9
2006220.1278.8
2005216.1278.9
2004217.6276
2003221279.6
2002215.5277.1
2001223279.8
2000210273.1
1999200.5267
1998203.5268.4
1997202266.6
1996190260.4
1995187.3260.3
1994183.1255
1993165.2246.6
1992156.7242.4
1991192.6264.3
1990200.7266.4
1989187.5259.7
1988185.8256.9
1987182.7258.4
1986188.9259.9
1985173.2252.6
1984172.9249.6
1983165.5248.4
1982176.3250
1981182.6253.5
1980173.6251.2
1979175.8251.2
1978172.8252
1977175.7250.4
1976164.5244
1975159.5242.3
1974166.8247.2
1973170.4249.3
1972165.2246.1
1971161.3244.5
1970164.4249
1969160241.2
1968157.8241.5
1967147.9233.3
1966156.5237.7
1965151.6239.8
1964143.1231
1963145.9225.8
1962171.8246.9
1961167.2246
1960176.2250.5
1959166.5244.8
1958169.2245.6
1957168.2247.5
1956160242.4
1955163.7243.5
1954167.6250.2
1953168.2241.2
1952165.7240.3
1951172.8248.8
1950162.8240.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonGuinea
2015242.2196.9–270.8286.7259.9–308.5
2016237.7192.1–259.9288.9262.6–304
2017245.8205.7–271.3291.6265.5–311.4
2018245.7208–270.5295.6269.3–311.8
2019243.7200.2–275.6291.8266.8–313.6
2020246.4210.4–278291.2265.6–315.4
2021255.2220.2–279.6295.8268–316.3
2022255.8221–285.7299.9277.9–322.4
2023254.5221.7–284.1296273.8–318
2024263225.8–286.8302.3276.9–322.8
2025257.3222.7–293.9298.9275.2–322.4
2026260.4211.9–292302.5269.3–323.9
2027258.5223.8–291.5302.6276.3–320.2
2028266.9235.5–294.7308.2285.4–325.8
2029269.9242.3–293.5309.3280.6–327.2
2030266.6229–293.5305.5277.4–322.4
2031273.2229.9–298.5313.2282.2–329.6
2032269.8240.6–296.2307.7287.3–329.5
2033271.8235.6–303.4310.4282.4–337.8
2034268.1239.2–299.1308281.7–327.4
2035277.5241.5–302.7311.2284.9–333
2036275.7235.1–301.3312.8285.7–334.5
2037283.5252.3–305.9315.5291.8–331.1
2038285.8258–307.9317.9296.3–333.9
2039280.9250.4–305.8314.1291.6–336
2040279.5252.1–310.6316.1292.9–334.6
2041284.5254.6–309.9315.4296.5–335.7
2042284.8253.6–313.2316290.7–336.6
2043281.2251.4–309.8314.8291.1–332.7
2044283.8244.4–312.3319.8289.7–337.5
2045286.8253.7–311.4318.6296.4–339
2046296.1260.6–318.1321.4295.7–337
2047294.3260.7–316.6324.6297.9–342.8
2048297.3265.6–318.1324.8304.4–341.1
2049298.3267.8–318.1324.2302.4–340.2
2050296.9267.9–322.7322.4299.7–339.6
2051297.8266.7–319.9326.1300.4–342
2052298.7270.1–322.3324301.5–342.8
2053297.7261.3–321.7325.6298–345.3
2054301.2268.2–324.6329.5301.3–345.1
2055301.3276.5–324.3324.4305.3–342.4
2056302.1270.4–329.2329.6299.4–349.4
2057305.4277.7–327.4332.4301.5–351
2058302.6272.1–325.2328.8305.6–347.6
2059306.2279.6–330.1330.3310.8–350.5
2060306.1276.1–331.1328.3309.4–348.2
2061304.4267.2–329.7330.5304.6–352.8
2062307.6266.2–332.2327.7307.3–346.5
2063309.1272.5–328.8333.4311–349.1
2064308.5278.7–331330.9310.6–351.6
2065311.3284.1–329.6331.4309.7–350.6
2066311.9284–332.7331.8312.3–347.4
2067310.1271.7–335.6329.1304–348.6
2068312.9278.7–335335.4309.6–354.5
2069310.4278.4–333.4333.5313–351.4
2070309.8281.2–334.9331.7310.9–352.7
2071316.4282.3–336334.6315.6–352.4
2072315.4289.2–335.3338.3317–353.2
2073314282.6–339.5334309.7–351.6
2074311.7281.9–336.8330.2310.6–352
2075314.8285.3–335.3334312–352.2
2076315.2284.7–338.4338.4321.3–352.1
2077318.2289.7–341.4341.4318.4–355.6
2078315.8286.4–338.5338.1316.6–355.8
2079317.7287.8–337.5337.5318.8–355.3
2080321.5285.9–341.7339.8315.4–358
2081318.7290–339339.3318.2–356.6
2082316.2289–337.7337.9316.1–353.3
2083317.7288.2–341.6339.2320.8–355.8
2084318.5284.5–342.1340.5321–354.6
2085323.4294–342.7343.8319.9–358.1
2086319.5292.3–343342.2318.7–358.7
2087318292.7–342.5340.7319.9–357.6
2088320.4288.1–342341.2318.3–354.9
2089320.1289.6–340.7337.9318.6–354.8
2090322.4292.8–342.6341.1315–356
2091322.6289.9–345339.7319.7–355.5
2092324.9291.6–343.6339.7320.4–356.8
2093322.3299.7–342.6341.8325.1–356.2
2094324299.3–343.4342.2324–356.4
2095326.4300.2–346.4340.7323.5–359.3
2096322.1294.4–346.4343.2324–359.7
2097320.9287.4–342.5340.3313.8–353.8
2098323.1293.8–344.4339.9318.8–357
2099322.6295.7–344.2341.5324.6–355.9
2100324.2293.6–346.6345.3319.6–357.9

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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