Somalia vs South Africa

Somalia vs South Africa: Tropical nights

Tropical nights in 2014: 295.2 nights in Somalia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 268.1 nights, or 11 times that in South Africa.

nights a year · CMIP6

Somalia vs South Africa: Tropical nightsTropical nights in 2014: 295.2 nights in Somalia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 268.1 nights, or 11 times that in South Africa.
SomaliaSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Somalia at 328.2 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearSomaliaSouth Africa
2014295.227.1
2013296.828.3
2012296.727.9
2011297.126.1
2010294.626
2009293.525.8
2008292.224.8
2007293.324.7
2006292.425.5
2005292.325.3
2004293.825.8
2003293.525.1
2002292.125
2001292.424.5
2000290.223.3
1999288.623
1998289.923.4
1997288.822.5
199628520.4
1995285.219.3
1994284.220
1993280.218.1
1992278.118.1
1991286.622.3
1990288.522.7
1989285.122
1988285.621.2
1987282.521.9
1986283.421
1985279.618.9
1984281.420
1983277.119
1982283.720.3
1981282.520
198028021.2
1979280.419.9
1978280.519.8
1977282.919.2
1976278.719.2
1975276.818.8
1974279.319.7
1973280.819.6
1972278.319
1971278.219.1
1970278.318.6
1969276.818.7
1968276.317.8
1967274.317.5
1966275.917.8
1965275.217.2
1964275.114.9
1963272.916.5
1962277.919.6
1961280.319.7
1960280.819.8
1959278.818.5
1958280.919.3
1957280.319.4
1956276.118
1955280.119.5
1954278.218.4
1953277.218.4
1952279.419.3
195127918.9
1950278.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSomaliaSouth Africa
2015299.3283.7–31128.620–39.5
2016296.8282.3–308.326.817.8–37.9
2017299.6284.6–310.128.919.6–37.8
2018301.3287.9–310.229.620.6–40.6
2019299.1286.1–311.929.820.8–41.5
2020299.4285.3–310.329.518.9–39.1
2021302.4289.1–313.631.121.4–42.9
2022304.5289.7–314.63223.7–43.1
2023304.1290.6–312.431.922.9–41.8
2024303.4290.1–3173324–45.6
2025303.1288.8–317.831.920.7–44.5
2026303.2288.7–315.434.521.9–46.9
2027303.8287.7–314.934.423–47.7
2028305.4291.3–316.833.522.9–46
2029307.8294–317.836.226.5–48.3
2030304.5289.6–314.936.124.9–49
2031307.4292.3–317.936.324.5–50.3
2032308.3292.4–319.636.424.5–49.2
2033307.2292–317.636.924.5–48.3
2034305.9292.3–321.237.626.4–51.8
2035308.7293.4–321.137.625.2–49.5
2036307.5295.4–317.73826.5–50.5
2037310.1298.4–319.939.928.2–53.4
2038311.1296.4–323.241.528.4–54.2
2039308.6295.9–321.939.227–52.9
2040311.7295.9–324.238.125.6–55.6
2041312296.6–321.540.227.4–54.3
2042311.7295–325.74229–56.4
2043312298–323.142.128.2–58.4
2044311.4297.3–32341.929.5–57.8
2045312.3298.6–32342.728.2–59
2046314.4299–327.744.130–59.5
2047315.8300.2–327.944.630.7–61.2
2048316.9302.8–327.54531.9–61.5
2049314.9303.2–325.245.632.3–61.4
2050315.9300.6–324.546.931–63.6
2051314.9301.9–326.947.532–65
2052316.2301.6–32948.332.7–64.3
2053314.8302.3–326.845.733.7–62.1
2054316.2301.5–330.14833.3–64.3
2055317.4302.7–327.846.833–68.4
2056316.5302.9–332.347.933.2–64.8
2057316.8302.5–329.850.232.6–68.9
2058316.9300.7–330.947.934–66.4
2059320.8305.2–332.551.333.1–66.9
2060321.3305.7–331.951.936–69.9
2061317.8304.8–330.350.534.8–71.3
2062319.6304.3–33650.532.7–71
2063320.9305.3–33250.434.3–69.7
2064319.7306.8–330.55134.1–67.7
2065318.3304.6–334.650.433.6–70.2
2066321307.9–333.95335.7–72.4
2067320.5304.3–334.450.634.8–70.4
2068321.7305.6–336.354.837.8–72.5
2069322.3308.6–335.454.339.1–73.4
2070321.1305.3–335.654.337.2–73.3
2071324.5308.4–336.955.837.9–76.9
2072324.1308.2–334.15639.4–78.6
2073323.7308.1–337.960.443.4–80.3
2074322306–334.657.439.1–75.3
2075323.6307.6–336.456.137.7–76
2076323.6309–333.358.538.4–75.3
2077324.2309.6–335.957.341–80.5
2078324.7310.1–333.75639.5–79
2079323.2307.6–336.357.639.3–78
2080324.7310.6–337.859.540.3–80.9
2081323.2311.1–335.35841.5–79.6
2082324.3309.4–336.458.839.7–77.7
2083323.6308.3–342.460.839.1–82.9
2084326.2309.4–337.562.540.4–82.9
2085327.7311.9–339.460.741.3–87.6
2086326.6311.1–340.260.542.1–83.3
2087327.3311.5–339.157.941–82.9
2088328.6308.2–341.664.243.4–85.3
2089326.7312–340.261.541.3–81.2
2090326.5311.7–339.561.641.5–86.8
2091328.6311.5–340.963.341.6–86.3
2092329.1312.2–341.863.144.9–84.8
2093327.3312.1–342.862.443.2–86.1
2094325.6312–336.263.145.6–87.4
2095329314–341.265.342.6–91.7
2096327.9311.6–341.96142.7–90.1
2097325.6311–34058.841.2–84.6
2098327.7311.4–341.165.143.8–89.8
2099327.3311.9–339.364.345–87
2100328.2313.4–341.258.742–88.2

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

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