Cameroon vs Gabon

Cameroon vs Gabon: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 331.9 nights in Gabon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gabon, by 93.2 nights, or 1.39 times that in Cameroon.

Watch it change on the map

nights a year · CMIP6

Cameroon vs Gabon: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 331.9 nights in Gabon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gabon, by 93.2 nights, or 1.39 times that in Cameroon.
CameroonGabonCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Gabon 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 Gabon at 362.5 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonGabon
2014238.7331.9
2013236.7334.5
2012242.2335.4
2011237.6331.6
2010230.4328.3
2009226.6327.2
2008223.1322.7
2007222.1321.4
2006220.1319.1
2005216.1318
2004217.6321.3
2003221321.4
2002215.5316.4
2001223322.9
2000210314.2
1999200.5306.1
1998203.5309.3
1997202304.6
1996190295.7
1995187.3292.3
1994183.1289.5
1993165.2265.5
1992156.7259.7
1991192.6297.8
1990200.7303.8
1989187.5293.6
1988185.8290
1987182.7288.5
1986188.9292.9
1985173.2278.3
1984172.9278.3
1983165.5269.4
1982176.3278.1
1981182.6288.5
1980173.6280.5
1979175.8278.4
1978172.8277.9
1977175.7278
1976164.5268.9
1975159.5256
1974166.8274.9
1973170.4279.3
1972165.2267.5
1971161.3263.6
1970164.4267.9
1969160261.4
1968157.8253.4
1967147.9247.2
1966156.5256.8
1965151.6248.9
1964143.1237.8
1963145.9229.1
1962171.8267.2
1961167.2268.3
1960176.2276.1
1959166.5269.9
1958169.2275.4
1957168.2269.9
1956160263.6
1955163.7268.5
1954167.6264.6
1953168.2271
1952165.7270.1
1951172.8277.7
1950162.8264.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonGabon
2015242.2196.9–270.8332.1301.1–347.6
2016237.7192.1–259.9331.4297.9–345.8
2017245.8205.7–271.3335.6298.3–350.2
2018245.7208–270.5335.9305.2–349.1
2019243.7200.2–275.6333.1300.8–350.7
2020246.4210.4–278335.5313.7–353
2021255.2220.2–279.6341.3316.5–352.2
2022255.8221–285.7342.1320.8–353.6
2023254.5221.7–284.1340.5322.1–354.1
2024263225.8–286.8345.2321.6–355.5
2025257.3222.7–293.9342.2319.4–356.1
2026260.4211.9–292344.1307.9–356.1
2027258.5223.8–291.5342.3317.1–357.2
2028266.9235.5–294.7347.4319.1–358.7
2029269.9242.3–293.5347.9326.8–357.8
2030266.6229–293.5343.4323.4–354.9
2031273.2229.9–298.5348.7325–357.9
2032269.8240.6–296.2350.1329.8–360.2
2033271.8235.6–303.4349.5325.2–359.3
2034268.1239.2–299.1345327.9–358.4
2035277.5241.5–302.7349.6329.1–360.2
2036275.7235.1–301.3348.2330.4–358.9
2037283.5252.3–305.9352.5338.4–359.8
2038285.8258–307.9353.6339.1–360.9
2039280.9250.4–305.8351.4335.7–359
2040279.5252.1–310.6353.3339.1–360.6
2041284.5254.6–309.9354.1335.1–361.2
2042284.8253.6–313.2352.5333.7–362.2
2043281.2251.4–309.8352.5335.8–360.1
2044283.8244.4–312.3352334.6–361.6
2045286.8253.7–311.4352.8337.8–360.1
2046296.1260.6–318.1356.2341.5–362.1
2047294.3260.7–316.6355.3342.3–361.5
2048297.3265.6–318.1358.4345.6–362.7
2049298.3267.8–318.1356.2342.1–362.6
2050296.9267.9–322.7356.1340.8–362.7
2051297.8266.7–319.9356.5343.4–361.7
2052298.7270.1–322.3356.8345.5–363.9
2053297.7261.3–321.7356.1340.9–362
2054301.2268.2–324.6357.1343–362.4
2055301.3276.5–324.3358.9348.1–363.5
2056302.1270.4–329.2358.5344.6–363.4
2057305.4277.7–327.4357.4344.4–362.7
2058302.6272.1–325.2358.3346.4–362.8
2059306.2279.6–330.1359.6347.5–363.4
2060306.1276.1–331.1360.8347.1–364.6
2061304.4267.2–329.7358.1343.2–362.8
2062307.6266.2–332.2358.3343.2–363.5
2063309.1272.5–328.8360.1348.4–364.1
2064308.5278.7–331360.3349.3–364.4
2065311.3284.1–329.6360.3349.3–364
2066311.9284–332.7360.3349.6–363.9
2067310.1271.7–335.6358.7342.2–363.9
2068312.9278.7–335361.3347.5–365.1
2069310.4278.4–333.4360.2346.6–363.9
2070309.8281.2–334.9360.1348.9–363.9
2071316.4282.3–336361.1350.6–363.9
2072315.4289.2–335.3361.5352.3–365
2073314282.6–339.5360.9350.7–364.4
2074311.7281.9–336.8360.9349.7–364.3
2075314.8285.3–335.3361.5348.8–364.1
2076315.2284.7–338.4361.5349.7–364.6
2077318.2289.7–341.4361.3349.8–363.9
2078315.8286.4–338.5361.4351.4–364.7
2079317.7287.8–337.5361.1352.3–364.1
2080321.5285.9–341.7362348.3–365.2
2081318.7290–339361349.9–364.2
2082316.2289–337.7361.4350.3–364.4
2083317.7288.2–341.6360.9350–364.3
2084318.5284.5–342.1362.5353.7–365.3
2085323.4294–342.7362.5353.2–364.7
2086319.5292.3–343361.8351.4–364.3
2087318292.7–342.5362.2353.2–364.3
2088320.4288.1–342362.5352.6–365.2
2089320.1289.6–340.7361.9350.9–364.5
2090322.4292.8–342.6362.5353.1–364.7
2091322.6289.9–345362.3352.3–364.5
2092324.9291.6–343.6363352.4–365.6
2093322.3299.7–342.6362.4354.4–364.6
2094324299.3–343.4362.3353.4–364.6
2095326.4300.2–346.4363.4355.6–364.8
2096322.1294.4–346.4362.4352.9–365.3
2097320.9287.4–342.5362.5355.2–364.6
2098323.1293.8–344.4362.1353–364.5
2099322.6295.7–344.2362.3353.6–364.5
2100324.2293.6–346.6362.5353.8–364.5

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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