Colombia vs South Africa

Colombia vs South Africa: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 252.8 nights, or 10 times that in South Africa.

nights a year · CMIP6

Colombia vs South Africa: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 252.8 nights, or 10 times that in South Africa.
ColombiaSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaSouth Africa
2014279.927.1
2013279.828.3
2012280.727.9
201128026.1
2010279.126
2009279.325.8
2008278.424.8
2007277.324.7
2006277.525.5
2005277.725.3
2004278.225.8
2003277.525.1
2002277.325
200127824.5
2000276.223.3
1999274.623
1998275.223.4
1997274.422.5
1996271.220.4
1995271.319.3
1994270.420
199326818.1
1992264.718.1
1991273.922.3
1990275.622.7
1989271.922
1988270.321.2
1987271.821.9
1986271.421
1985268.418.9
1984268.220
1983265.119
1982269.220.3
1981272.120
1980270.221.2
1979269.319.9
1978268.319.8
1977269.619.2
1976266.119.2
1975261.618.8
1974266.619.7
1973269.919.6
1972266.619
1971265.719.1
1970265.418.6
196926618.7
1968264.617.8
1967261.717.5
1966263.717.8
1965263.217.2
1964260.314.9
1963254.816.5
1962266.719.6
196126719.7
1960268.619.8
1959265.518.5
195826819.3
1957267.419.4
1956263.318
1955267.719.5
1954267.218.4
1953267.918.4
1952268.119.3
1951267.218.9
1950266.518.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaSouth Africa
2015280.4265.9–286.428.620–39.5
2016279.9267.9–285.626.817.8–37.9
2017281.7270.6–286.328.919.6–37.8
2018281.5271.8–286.329.620.6–40.6
2019281.1269.5–286.929.820.8–41.5
2020282.1270.6–287.929.518.9–39.1
2021283.2273.9–287.831.121.4–42.9
2022283.7273.6–288.53223.7–43.1
2023282.6274.2–288.831.922.9–41.8
2024284.7274.7–289.83324–45.6
2025283.5273.3–289.731.920.7–44.5
2026283.4272.7–289.734.521.9–46.9
2027283.9273.4–289.234.423–47.7
2028285275.1–290.733.522.9–46
2029285.8276–290.336.226.5–48.3
2030284.2273.4–289.836.124.9–49
2031285.8274.8–291.236.324.5–50.3
2032286.7278.3–292.636.424.5–49.2
2033285.7274.7–290.336.924.5–48.3
2034285275.8–292.837.626.4–51.8
2035285.9277.3–29237.625.2–49.5
2036286276.9–291.63826.5–50.5
2037287.5279.3–291.939.928.2–53.4
2038288279.7–292.441.528.4–54.2
2039287.6278.8–292.739.227–52.9
2040287.6279.3–294.538.125.6–55.6
2041288.2279.9–292.740.227.4–54.3
2042288.2278.3–2954229–56.4
2043287.7277.7–293.442.128.2–58.4
2044287.8278.5–295.141.929.5–57.8
2045288.8280.5–293.942.728.2–59
2046290.4281–295.544.130–59.5
2047289.9280.6–294.644.630.7–61.2
2048290.7281.4–296.84531.9–61.5
2049290.9282–295.345.632.3–61.4
2050290.1280.8–29646.931–63.6
2051290.6280.9–295.747.532–65
2052290.9281.9–296.748.332.7–64.3
2053290.5280.8–296.345.733.7–62.1
2054290.8281.3–297.24833.3–64.3
2055291.1282.6–29846.833–68.4
2056291.5281.5–298.647.933.2–64.8
2057291.5281.2–297.350.232.6–68.9
2058291.8281.7–298.947.934–66.4
2059292.8282–299.251.333.1–66.9
2060293.2283–300.151.936–69.9
2061292.2281.9–298.750.534.8–71.3
2062292.6282.4–299.750.532.7–71
2063293.6282.3–298.650.434.3–69.7
2064292.7282.9–299.15134.1–67.7
2065293.8283.6–299.450.433.6–70.2
2066293.1283.4–299.85335.7–72.4
2067292.9281.8–299.650.634.8–70.4
2068294.2282.5–300.654.837.8–72.5
2069292.9282.4–30054.339.1–73.4
2070292.9282.8–300.854.337.2–73.3
2071294.2282.8–301.555.837.9–76.9
2072294.9285.1–301.95639.4–78.6
2073294.9285.5–302.260.443.4–80.3
2074293.9283.3–300.357.439.1–75.3
2075294.1283.2–300.656.137.7–76
2076294.9284.6–30258.538.4–75.3
2077295.3284.3–301.957.341–80.5
2078294.4285–3025639.5–79
2079294.8283.7–301.857.639.3–78
2080295.1283.4–302.859.540.3–80.9
2081295.1284.8–302.65841.5–79.6
2082295.1284.9–301.358.839.7–77.7
2083295.4284.5–304.660.839.1–82.9
2084296285.1–304.462.540.4–82.9
2085296.6285–30560.741.3–87.6
2086295.6284.8–303.660.542.1–83.3
2087295.3284.1–303.457.941–82.9
2088295.9284.5–305.564.243.4–85.3
2089295.6285–304.561.541.3–81.2
2090295.7285.8–304.661.641.5–86.8
2091297285–304.963.341.6–86.3
2092296.8286–305.763.144.9–84.8
2093296.3285.6–305.362.443.2–86.1
2094296.4285.8–30563.145.6–87.4
2095297.9285.6–304.965.342.6–91.7
2096296285.9–307.56142.7–90.1
2097296.5284.8–303.458.841.2–84.6
2098296.6286–307.365.143.8–89.8
2099297284.6–305.464.345–87
2100297.4286.5–305.258.742–88.2

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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