Côte d’Ivoire vs Sudan

Côte d’Ivoire vs Sudan: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 99.2 nights, or 1.41 times that in Sudan.

nights a year · CMIP6

Côte d’Ivoire vs Sudan: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 99.2 nights, or 1.41 times that in Sudan.
Côte d’IvoireSudanCMIP6 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireSudan
2014341.6242.4
2013339.6240
2012342.3242
2011340.1242.2
2010338.6240.6
2009337.3236.5
2008337.1237.1
2007336.7236
2006336.6235.3
2005337.6233.1
2004334.8233.5
2003337.3235.6
2002336.1234.7
2001339.5235.4
2000334.6230.5
1999331.3232.1
1998332.7230.2
1997331.8231.1
1996329.9227.3
1995330.5227.8
1994327.9225.3
1993327.2219.1
1992322217.8
1991331.7227.3
1990334227.5
1989328.9223
1988327.5223.1
1987327.9224.4
1986329.2226.4
1985324.9222.1
1984325.8220.7
1983325.4217
1982324216.3
1981327223.2
1980323.1220
1979327.1218.4
1978324.2218.5
1977325.5219.3
1976321.7220.1
1975322.8215.7
1974322217.5
1973323.8220
1972322.4217.9
1971322215.5
1970322.2217
1969320.9213.1
1968319.8214
1967317.1210.3
1966318.4213.3
1965320213.4
1964314.7213.2
1963317.4210.1
1962324.1217
1961323.1216.9
1960325.5221.3
1959322.1217.8
1958322.4216.2
1957321.2218.9
1956321.2217.2
1955320.1216.6
1954325.6218.9
1953322.9215.1
1952319.4216.4
1951323.9218.5
1950317.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireSudan
2015339.1321.9–350.7242.3225.3–258.3
2016339.9324.6–349.1241.4223.3–254.1
2017340.5322.4–349.6243.2223–259.1
2018341.6327.4–351.6242.3226.4–258.5
2019338.5323.6–350.3243.1221.7–260.4
2020340.6324.2–352.9244.9225.9–261.7
2021340.8325.2–353.8245.6229.1–261.5
2022344327.2–353.4249230.9–262.3
2023341.2327.2–352.6247.1226.8–263.1
2024344.9331–353.9251.5232.8–266.1
2025342.4327.8–352.1250.7232.4–265.6
2026342.3326.6–353.3250230.8–266.6
2027343.9325.6–352.9248.8228.4–265.6
2028347.4333.6–355.5249232.2–263.1
2029347.2332.4–355.2251.4232.1–266
2030347.2332.1–353.8252235.4–266.7
2031349.3333.1–357.2253.3234.4–268.9
2032347.8331.5–356.9250.4232.3–266.6
2033348332.6–360.4254.4235.3–269.4
2034346.6331.7–355.8254.2234.5–269.9
2035348.9333.7–357.8258.3240.2–273.6
2036350.5332.7–359.1252.8235.6–268.6
2037349.8334.6–357.5256.7238.6–271.8
2038351.3338.9–358.2258.7244.8–272.1
2039350.6333.1–358.9259.5241.2–272.5
2040351.1336.2–359.6256.4236.7–272.3
2041350.8335.9–358259.1241.2–274.5
2042349.8337.3–358.6258.7242–274.7
2043348.4336.1–357.8258.1240.3–272.6
2044350.3337.5–359.2257.3238.6–274.7
2045351339.5–359.5258.8243.1–276.2
2046351.7337.6–358.6261.1241.7–277.6
2047352335.4–360.1261.4244.6–278.4
2048351.6339.9–360.3260.4243.4–279.5
2049353339.6–360.9261.9242.6–275.9
2050352340.6–359.3263.5245.4–279
2051353340.5–360.5263.6246.6–278.8
2052352339–359.8263.8248.7–278.3
2053352.7339–360.5262.8242.4–279.2
2054354.7339.5–360.9266.3246.6–282.9
2055353.4343.4–360.8265.6245.9–281.4
2056355.9339.6–362.8264.1242.6–281.5
2057356.3343–362266.4247.6–283.4
2058354.3344.5–361.3265.2247.4–280.3
2059355343.4–361.7268.4249.6–285.4
2060354.6343.3–362.1263.6246.7–284.4
2061354.6341.3–362.5266.9250.1–281.9
2062354.4340.8–361.3266.4248.5–285
2063355.4345.2–362.1267.1246.9–283.4
2064356.1344.6–362.9269250.7–284.7
2065355.5346.4–362.4269.8253.9–285.6
2066355.2344.5–361.2271.4251.9–287.3
2067355.3341.4–361.8270.9250–288.4
2068357.3346.3–363.6271.9251.7–289.8
2069355344.3–362.7268251.1–286.2
2070355.6344.2–362.3269252.3–285.8
2071356.8344.7–362.9275.5254.1–290.4
2072357.7346.2–363.1273.3254.2–289.4
2073356.6345.2–362.2271.9250.7–287.6
2074354.4342.1–362.7270.9249–290.1
2075356343.7–362.5273.1254–291.9
2076357.4348.5–363.3272.7255.2–290.9
2077358.1347.7–362.8274.6255.2–292.7
2078357.3346.8–363.2274.3255.6–291.2
2079357.4346.6–363.6272255.2–288.5
2080359.1349.4–364.7276.6256–292.2
2081358.8347.5–363.5275.1254.1–294.8
2082357346.9–363.4272.9258.7–288.6
2083357.8349.5–363.1276.5258–291.7
2084358.8349.3–363.4275.4253–294.9
2085359.7350.1–364275.3258.6–291.6
2086359347.7–363.8276.4256.9–296.6
2087358.8348.8–364.1273.5253.1–293.3
2088358347.4–363.7273.6253.7–293.6
2089357.4347.3–363.5276.5256.6–293.4
2090358.8346.1–363.9276.6256.4–294.6
2091358.3349.1–363.3277.4256.4–296.6
2092359.2347.5–364274.6254.3–294.9
2093359349.8–363.8278261.9–292.1
2094359.3350.1–363.1280.3262.2–294
2095358.1349.7–364277.5262.6–294
2096358.8348.3–365.1279.7258.7–297
2097358.9342.5–362.5276.3254.1–297.6
2098357.8348.1–363.6277.7258.2–295.5
2099359.2349.5–363.2276.8257.2–296.2
2100359.6348.3–363.8278.6259–294.3

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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