Cameroon vs Ethiopia

Cameroon vs Ethiopia: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 93.8 nights, or 1.65 times that in Ethiopia.

nights a year · CMIP6

Cameroon vs Ethiopia: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 93.8 nights, or 1.65 times that in Ethiopia.
CameroonEthiopiaCMIP6 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 Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonEthiopia
2014238.7144.9
2013236.7145.1
2012242.2144.4
2011237.6145.6
2010230.4142.4
2009226.6140.3
2008223.1137.1
2007222.1138.2
2006220.1138.7
2005216.1138.1
2004217.6139.1
2003221138.8
2002215.5137.4
2001223139.2
2000210135.5
1999200.5132.6
1998203.5132.9
1997202132.7
1996190129.7
1995187.3127.8
1994183.1126.3
1993165.2122.5
1992156.7119.7
1991192.6129.5
1990200.7132.7
1989187.5129.4
1988185.8128.2
1987182.7126.4
1986188.9128.1
1985173.2122.8
1984172.9124.8
1983165.5120.6
1982176.3126.3
1981182.6127
1980173.6124.9
1979175.8125.1
1978172.8124.7
1977175.7125.8
1976164.5122
1975159.5119.5
1974166.8124
1973170.4125.2
1972165.2122.3
1971161.3120.6
1970164.4121.3
1969160120.4
1968157.8119.1
1967147.9118.1
1966156.5119.5
1965151.6117.4
1964143.1116.6
1963145.9115.7
1962171.8121.6
1961167.2124.2
1960176.2124.5
1959166.5121.6
1958169.2124.1
1957168.2123.2
1956160120.9
1955163.7122.8
1954167.6121.6
1953168.2121.2
1952165.7122.8
1951172.8123
1950162.8122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonEthiopia
2015242.2196.9–270.8146.6129.4–163.9
2016237.7192.1–259.9144.1127–160.6
2017245.8205.7–271.3148.3129.2–164.9
2018245.7208–270.5149.6131.6–166
2019243.7200.2–275.6146.2129.3–166
2020246.4210.4–278149.4129.6–168.5
2021255.2220.2–279.6150.7132.1–170
2022255.8221–285.7154135.7–171.2
2023254.5221.7–284.1153.5135.4–171.4
2024263225.8–286.8156.5135.9–175.6
2025257.3222.7–293.9154132.6–175.5
2026260.4211.9–292153132–175
2027258.5223.8–291.5154.2134.4–175.3
2028266.9235.5–294.7157.5138.3–177.4
2029269.9242.3–293.5159.2141.8–176.8
2030266.6229–293.5156.8136.3–175.7
2031273.2229.9–298.5161.4142.4–179.1
2032269.8240.6–296.2161.7143.1–182.5
2033271.8235.6–303.4161.8140–180.9
2034268.1239.2–299.1158.8141.5–184.3
2035277.5241.5–302.7162141.7–184.2
2036275.7235.1–301.3160.5143.6–179.4
2037283.5252.3–305.9165145.8–184.5
2038285.8258–307.9167.1146.5–186.7
2039280.9250.4–305.8164.5143.9–186
2040279.5252.1–310.6165.9146.2–190.1
2041284.5254.6–309.9167.9146.3–189.3
2042284.8253.6–313.2167.7146–194.3
2043281.2251.4–309.8167.3145.5–190.8
2044283.8244.4–312.3168.2148.2–189.9
2045286.8253.7–311.4170.7149.1–192.3
2046296.1260.6–318.1175.3150–198.6
2047294.3260.7–316.6176.9151.8–197.5
2048297.3265.6–318.1177.5155.4–199.1
2049298.3267.8–318.1177.5157.9–198.4
2050296.9267.9–322.7176.4153.8–199
2051297.8266.7–319.9176.6155.3–199.7
2052298.7270.1–322.3177155.6–200.7
2053297.7261.3–321.7176.7154.2–201.6
2054301.2268.2–324.6177.6156.9–201.1
2055301.3276.5–324.3180.6155.2–202.3
2056302.1270.4–329.2177.3155–205.4
2057305.4277.7–327.4180.3159.3–205.5
2058302.6272.1–325.2182.6153.7–209.4
2059306.2279.6–330.1185.7160.1–210.6
2060306.1276.1–331.1185.9160.3–210.4
2061304.4267.2–329.7183.3158.3–211.7
2062307.6266.2–332.2183.8155.4–213
2063309.1272.5–328.8184.5159.1–208.6
2064308.5278.7–331186.7160.6–207.2
2065311.3284.1–329.6183.7162.4–212.9
2066311.9284–332.7187.1165.4–210.1
2067310.1271.7–335.6187.1160.7–214.5
2068312.9278.7–335187.6160.4–215.8
2069310.4278.4–333.4187.8165.4–215.8
2070309.8281.2–334.9187.9161.6–216.9
2071316.4282.3–336192.7165.2–219.5
2072315.4289.2–335.3193.6167.4–214.5
2073314282.6–339.5193.3169.7–218.7
2074311.7281.9–336.8188.5163.9–219
2075314.8285.3–335.3191.9162.7–218.6
2076315.2284.7–338.4195166.9–218.9
2077318.2289.7–341.4194.1169.3–223.3
2078315.8286.4–338.5192.1168.4–218.6
2079317.7287.8–337.5193.4166.6–220.9
2080321.5285.9–341.7196.1169.2–222.4
2081318.7290–339194.6171–221.4
2082316.2289–337.7195.4168.8–219.9
2083317.7288.2–341.6194.6168.2–228.7
2084318.5284.5–342.1198.5170.7–224.2
2085323.4294–342.7198.4173.1–226.3
2086319.5292.3–343198.6172.3–228.4
2087318292.7–342.5199170.6–226.6
2088320.4288.1–342199170.7–227.7
2089320.1289.6–340.7198.6171.2–226.2
2090322.4292.8–342.6198.6173.4–227.7
2091322.6289.9–345203.6171.9–232.1
2092324.9291.6–343.6200.7172.5–229.7
2093322.3299.7–342.6201.4175.2–228.6
2094324299.3–343.4200.2174–228.9
2095326.4300.2–346.4203.9175.7–231.9
2096322.1294.4–346.4199.1170.5–230.8
2097320.9287.4–342.5198.4171.8–229.3
2098323.1293.8–344.4198.7172.1–231.5
2099322.6295.7–344.2201.8172.8–233.3
2100324.2293.6–346.6201.7175.1–231.8

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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