Côte d’Ivoire vs South Africa

Côte d’Ivoire vs South Africa: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 314.5 nights, or 13 times that in South Africa.

nights a year · CMIP6

Côte d’Ivoire vs South Africa: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 314.5 nights, or 13 times that in South Africa.
Côte d’IvoireSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Côte d’Ivoire has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Côte d’Ivoire at 359.6 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireSouth Africa
2014341.627.1
2013339.628.3
2012342.327.9
2011340.126.1
2010338.626
2009337.325.8
2008337.124.8
2007336.724.7
2006336.625.5
2005337.625.3
2004334.825.8
2003337.325.1
2002336.125
2001339.524.5
2000334.623.3
1999331.323
1998332.723.4
1997331.822.5
1996329.920.4
1995330.519.3
1994327.920
1993327.218.1
199232218.1
1991331.722.3
199033422.7
1989328.922
1988327.521.2
1987327.921.9
1986329.221
1985324.918.9
1984325.820
1983325.419
198232420.3
198132720
1980323.121.2
1979327.119.9
1978324.219.8
1977325.519.2
1976321.719.2
1975322.818.8
197432219.7
1973323.819.6
1972322.419
197132219.1
1970322.218.6
1969320.918.7
1968319.817.8
1967317.117.5
1966318.417.8
196532017.2
1964314.714.9
1963317.416.5
1962324.119.6
1961323.119.7
1960325.519.8
1959322.118.5
1958322.419.3
1957321.219.4
1956321.218
1955320.119.5
1954325.618.4
1953322.918.4
1952319.419.3
1951323.918.9
1950317.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireSouth Africa
2015339.1321.9–350.728.620–39.5
2016339.9324.6–349.126.817.8–37.9
2017340.5322.4–349.628.919.6–37.8
2018341.6327.4–351.629.620.6–40.6
2019338.5323.6–350.329.820.8–41.5
2020340.6324.2–352.929.518.9–39.1
2021340.8325.2–353.831.121.4–42.9
2022344327.2–353.43223.7–43.1
2023341.2327.2–352.631.922.9–41.8
2024344.9331–353.93324–45.6
2025342.4327.8–352.131.920.7–44.5
2026342.3326.6–353.334.521.9–46.9
2027343.9325.6–352.934.423–47.7
2028347.4333.6–355.533.522.9–46
2029347.2332.4–355.236.226.5–48.3
2030347.2332.1–353.836.124.9–49
2031349.3333.1–357.236.324.5–50.3
2032347.8331.5–356.936.424.5–49.2
2033348332.6–360.436.924.5–48.3
2034346.6331.7–355.837.626.4–51.8
2035348.9333.7–357.837.625.2–49.5
2036350.5332.7–359.13826.5–50.5
2037349.8334.6–357.539.928.2–53.4
2038351.3338.9–358.241.528.4–54.2
2039350.6333.1–358.939.227–52.9
2040351.1336.2–359.638.125.6–55.6
2041350.8335.9–35840.227.4–54.3
2042349.8337.3–358.64229–56.4
2043348.4336.1–357.842.128.2–58.4
2044350.3337.5–359.241.929.5–57.8
2045351339.5–359.542.728.2–59
2046351.7337.6–358.644.130–59.5
2047352335.4–360.144.630.7–61.2
2048351.6339.9–360.34531.9–61.5
2049353339.6–360.945.632.3–61.4
2050352340.6–359.346.931–63.6
2051353340.5–360.547.532–65
2052352339–359.848.332.7–64.3
2053352.7339–360.545.733.7–62.1
2054354.7339.5–360.94833.3–64.3
2055353.4343.4–360.846.833–68.4
2056355.9339.6–362.847.933.2–64.8
2057356.3343–36250.232.6–68.9
2058354.3344.5–361.347.934–66.4
2059355343.4–361.751.333.1–66.9
2060354.6343.3–362.151.936–69.9
2061354.6341.3–362.550.534.8–71.3
2062354.4340.8–361.350.532.7–71
2063355.4345.2–362.150.434.3–69.7
2064356.1344.6–362.95134.1–67.7
2065355.5346.4–362.450.433.6–70.2
2066355.2344.5–361.25335.7–72.4
2067355.3341.4–361.850.634.8–70.4
2068357.3346.3–363.654.837.8–72.5
2069355344.3–362.754.339.1–73.4
2070355.6344.2–362.354.337.2–73.3
2071356.8344.7–362.955.837.9–76.9
2072357.7346.2–363.15639.4–78.6
2073356.6345.2–362.260.443.4–80.3
2074354.4342.1–362.757.439.1–75.3
2075356343.7–362.556.137.7–76
2076357.4348.5–363.358.538.4–75.3
2077358.1347.7–362.857.341–80.5
2078357.3346.8–363.25639.5–79
2079357.4346.6–363.657.639.3–78
2080359.1349.4–364.759.540.3–80.9
2081358.8347.5–363.55841.5–79.6
2082357346.9–363.458.839.7–77.7
2083357.8349.5–363.160.839.1–82.9
2084358.8349.3–363.462.540.4–82.9
2085359.7350.1–36460.741.3–87.6
2086359347.7–363.860.542.1–83.3
2087358.8348.8–364.157.941–82.9
2088358347.4–363.764.243.4–85.3
2089357.4347.3–363.561.541.3–81.2
2090358.8346.1–363.961.641.5–86.8
2091358.3349.1–363.363.341.6–86.3
2092359.2347.5–36463.144.9–84.8
2093359349.8–363.862.443.2–86.1
2094359.3350.1–363.163.145.6–87.4
2095358.1349.7–36465.342.6–91.7
2096358.8348.3–365.16142.7–90.1
2097358.9342.5–362.558.841.2–84.6
2098357.8348.1–363.665.143.8–89.8
2099359.2349.5–363.264.345–87
2100359.6348.3–363.858.742–88.2

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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