Cameroon vs Ghana

Cameroon vs Ghana: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 118.1 nights, or 1.49 times that in Cameroon.

nights a year · CMIP6

Cameroon vs Ghana: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 118.1 nights, or 1.49 times that in Cameroon.
CameroonGhanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana 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 Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonGhana
2014238.7356.8
2013236.7355.8
2012242.2356.8
2011237.6355.7
2010230.4355.9
2009226.6353.2
2008223.1353.1
2007222.1353.8
2006220.1353.9
2005216.1352.7
2004217.6352.4
2003221353.8
2002215.5353.2
2001223354.9
2000210352.2
1999200.5350.2
1998203.5350.6
1997202350.5
1996190349.1
1995187.3348.9
1994183.1347.9
1993165.2347.1
1992156.7344.5
1991192.6348.4
1990200.7352.1
1989187.5347.9
1988185.8347.2
1987182.7346.6
1986188.9348.4
1985173.2347.2
1984172.9346.2
1983165.5344.8
1982176.3344.8
1981182.6346.8
1980173.6344.5
1979175.8346.4
1978172.8343.9
1977175.7345.9
1976164.5344.5
1975159.5345.3
1974166.8343
1973170.4344
1972165.2344.4
1971161.3342.7
1970164.4344
1969160342.5
1968157.8342
1967147.9342.7
1966156.5342.1
1965151.6342
1964143.1340
1963145.9342.8
1962171.8345.9
1961167.2344.1
1960176.2345.7
1959166.5344.6
1958169.2344.6
1957168.2344.1
1956160343.5
1955163.7342.5
1954167.6346.8
1953168.2344.5
1952165.7341.9
1951172.8343.8
1950162.8340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonGhana
2015242.2196.9–270.8356341.5–361.7
2016237.7192.1–259.9356.5341.4–361.5
2017245.8205.7–271.3355.2341.3–361.6
2018245.7208–270.5355.8345.7–362.1
2019243.7200.2–275.6353.9343.6–362.3
2020246.4210.4–278356341.7–362.9
2021255.2220.2–279.6356.9345.4–362.7
2022255.8221–285.7358.2342–362.6
2023254.5221.7–284.1356.7344–361.7
2024263225.8–286.8358.6347.7–363.4
2025257.3222.7–293.9357.1347.2–361.9
2026260.4211.9–292357.2343.5–362.7
2027258.5223.8–291.5357.5344.3–362.4
2028266.9235.5–294.7359.5348.6–363.6
2029269.9242.3–293.5358.8349–363.1
2030266.6229–293.5359.6350.6–363.2
2031273.2229.9–298.5360.8351–364
2032269.8240.6–296.2359.7346.4–363.9
2033271.8235.6–303.4360.2349–364.1
2034268.1239.2–299.1359.4350.8–363.1
2035277.5241.5–302.7360.5350.8–364
2036275.7235.1–301.3360.9350.6–364.9
2037283.5252.3–305.9361350.5–364
2038285.8258–307.9361.4354.4–363.9
2039280.9250.4–305.8361.3352.3–364.5
2040279.5252.1–310.6361.5352.2–365.2
2041284.5254.6–309.9361.3351.7–364.3
2042284.8253.6–313.2360.6352.3–364.3
2043281.2251.4–309.8360.6351.8–364
2044283.8244.4–312.3361.6353.6–364.8
2045286.8253.7–311.4361.1353.2–364.4
2046296.1260.6–318.1361.9353.1–364.1
2047294.3260.7–316.6362.3350.3–364.5
2048297.3265.6–318.1362.1354.7–365.3
2049298.3267.8–318.1362.6354–364.4
2050296.9267.9–322.7362.2355.3–364.4
2051297.8266.7–319.9362.3355.7–364.6
2052298.7270.1–322.3362.1354.2–365
2053297.7261.3–321.7362.4354.1–364.5
2054301.2268.2–324.6362.9354.8–364.6
2055301.3276.5–324.3362.5355.1–364.5
2056302.1270.4–329.2363.3355.6–365.7
2057305.4277.7–327.4363.2355.9–364.8
2058302.6272.1–325.2363356.3–364.9
2059306.2279.6–330.1362.9356.2–364.8
2060306.1276.1–331.1362.9354.1–365.7
2061304.4267.2–329.7363.2354–364.9
2062307.6266.2–332.2363.1355–364.9
2063309.1272.5–328.8363.2355.5–364.9
2064308.5278.7–331363.3356.6–365.6
2065311.3284.1–329.6363.7357.8–364.9
2066311.9284–332.7362.7356.9–364.8
2067310.1271.7–335.6363.6354.1–364.9
2068312.9278.7–335364.1356.3–365.8
2069310.4278.4–333.4362.8356.3–364.9
2070309.8281.2–334.9363.3356.2–364.9
2071316.4282.3–336363.5355.3–364.9
2072315.4289.2–335.3364.1355.6–365.8
2073314282.6–339.5363.6355.1–364.8
2074311.7281.9–336.8363.4355.4–364.8
2075314.8285.3–335.3363.4357–364.9
2076315.2284.7–338.4363.8358.4–365.8
2077318.2289.7–341.4363.8357.8–365
2078315.8286.4–338.5363.9356.6–364.9
2079317.7287.8–337.5364.2358–365
2080321.5285.9–341.7364.3357.8–366
2081318.7290–339363.8357.1–365
2082316.2289–337.7363.5357.1–364.9
2083317.7288.2–341.6364.1358.3–365
2084318.5284.5–342.1364358.5–365.9
2085323.4294–342.7364.1358.3–365
2086319.5292.3–343364.1357.8–365
2087318292.7–342.5364.1357.9–365
2088320.4288.1–342364.2356.4–365.9
2089320.1289.6–340.7363.9357.6–365
2090322.4292.8–342.6364.2357.6–365
2091322.6289.9–345363.9357.6–364.9
2092324.9291.6–343.6364.4356.6–366
2093322.3299.7–342.6364.4358.2–365
2094324299.3–343.4364.1357.9–365
2095326.4300.2–346.4364358.2–365
2096322.1294.4–346.4363.9358–366
2097320.9287.4–342.5363.9356.3–364.9
2098323.1293.8–344.4363.7357.8–364.9
2099322.6295.7–344.2363.9358.6–365
2100324.2293.6–346.6364.2357.6–365

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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