Cameroon vs South Africa

Cameroon vs South Africa: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 211.6 nights, or 8.8 times that in South Africa.

nights a year · CMIP6

Cameroon vs South Africa: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 211.6 nights, or 8.8 times that in South Africa.
CameroonSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon 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 South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonSouth Africa
2014238.727.1
2013236.728.3
2012242.227.9
2011237.626.1
2010230.426
2009226.625.8
2008223.124.8
2007222.124.7
2006220.125.5
2005216.125.3
2004217.625.8
200322125.1
2002215.525
200122324.5
200021023.3
1999200.523
1998203.523.4
199720222.5
199619020.4
1995187.319.3
1994183.120
1993165.218.1
1992156.718.1
1991192.622.3
1990200.722.7
1989187.522
1988185.821.2
1987182.721.9
1986188.921
1985173.218.9
1984172.920
1983165.519
1982176.320.3
1981182.620
1980173.621.2
1979175.819.9
1978172.819.8
1977175.719.2
1976164.519.2
1975159.518.8
1974166.819.7
1973170.419.6
1972165.219
1971161.319.1
1970164.418.6
196916018.7
1968157.817.8
1967147.917.5
1966156.517.8
1965151.617.2
1964143.114.9
1963145.916.5
1962171.819.6
1961167.219.7
1960176.219.8
1959166.518.5
1958169.219.3
1957168.219.4
195616018
1955163.719.5
1954167.618.4
1953168.218.4
1952165.719.3
1951172.818.9
1950162.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonSouth Africa
2015242.2196.9–270.828.620–39.5
2016237.7192.1–259.926.817.8–37.9
2017245.8205.7–271.328.919.6–37.8
2018245.7208–270.529.620.6–40.6
2019243.7200.2–275.629.820.8–41.5
2020246.4210.4–27829.518.9–39.1
2021255.2220.2–279.631.121.4–42.9
2022255.8221–285.73223.7–43.1
2023254.5221.7–284.131.922.9–41.8
2024263225.8–286.83324–45.6
2025257.3222.7–293.931.920.7–44.5
2026260.4211.9–29234.521.9–46.9
2027258.5223.8–291.534.423–47.7
2028266.9235.5–294.733.522.9–46
2029269.9242.3–293.536.226.5–48.3
2030266.6229–293.536.124.9–49
2031273.2229.9–298.536.324.5–50.3
2032269.8240.6–296.236.424.5–49.2
2033271.8235.6–303.436.924.5–48.3
2034268.1239.2–299.137.626.4–51.8
2035277.5241.5–302.737.625.2–49.5
2036275.7235.1–301.33826.5–50.5
2037283.5252.3–305.939.928.2–53.4
2038285.8258–307.941.528.4–54.2
2039280.9250.4–305.839.227–52.9
2040279.5252.1–310.638.125.6–55.6
2041284.5254.6–309.940.227.4–54.3
2042284.8253.6–313.24229–56.4
2043281.2251.4–309.842.128.2–58.4
2044283.8244.4–312.341.929.5–57.8
2045286.8253.7–311.442.728.2–59
2046296.1260.6–318.144.130–59.5
2047294.3260.7–316.644.630.7–61.2
2048297.3265.6–318.14531.9–61.5
2049298.3267.8–318.145.632.3–61.4
2050296.9267.9–322.746.931–63.6
2051297.8266.7–319.947.532–65
2052298.7270.1–322.348.332.7–64.3
2053297.7261.3–321.745.733.7–62.1
2054301.2268.2–324.64833.3–64.3
2055301.3276.5–324.346.833–68.4
2056302.1270.4–329.247.933.2–64.8
2057305.4277.7–327.450.232.6–68.9
2058302.6272.1–325.247.934–66.4
2059306.2279.6–330.151.333.1–66.9
2060306.1276.1–331.151.936–69.9
2061304.4267.2–329.750.534.8–71.3
2062307.6266.2–332.250.532.7–71
2063309.1272.5–328.850.434.3–69.7
2064308.5278.7–3315134.1–67.7
2065311.3284.1–329.650.433.6–70.2
2066311.9284–332.75335.7–72.4
2067310.1271.7–335.650.634.8–70.4
2068312.9278.7–33554.837.8–72.5
2069310.4278.4–333.454.339.1–73.4
2070309.8281.2–334.954.337.2–73.3
2071316.4282.3–33655.837.9–76.9
2072315.4289.2–335.35639.4–78.6
2073314282.6–339.560.443.4–80.3
2074311.7281.9–336.857.439.1–75.3
2075314.8285.3–335.356.137.7–76
2076315.2284.7–338.458.538.4–75.3
2077318.2289.7–341.457.341–80.5
2078315.8286.4–338.55639.5–79
2079317.7287.8–337.557.639.3–78
2080321.5285.9–341.759.540.3–80.9
2081318.7290–3395841.5–79.6
2082316.2289–337.758.839.7–77.7
2083317.7288.2–341.660.839.1–82.9
2084318.5284.5–342.162.540.4–82.9
2085323.4294–342.760.741.3–87.6
2086319.5292.3–34360.542.1–83.3
2087318292.7–342.557.941–82.9
2088320.4288.1–34264.243.4–85.3
2089320.1289.6–340.761.541.3–81.2
2090322.4292.8–342.661.641.5–86.8
2091322.6289.9–34563.341.6–86.3
2092324.9291.6–343.663.144.9–84.8
2093322.3299.7–342.662.443.2–86.1
2094324299.3–343.463.145.6–87.4
2095326.4300.2–346.465.342.6–91.7
2096322.1294.4–346.46142.7–90.1
2097320.9287.4–342.558.841.2–84.6
2098323.1293.8–344.465.143.8–89.8
2099322.6295.7–344.264.345–87
2100324.2293.6–346.658.742–88.2

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

Cameroon vs South Africa

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