Côte d’Ivoire vs Mali

Côte d’Ivoire vs Mali: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 91.4 nights, or 1.37 times that in Mali.

Watch it change on the map

nights a year · CMIP6

Côte d’Ivoire vs Mali: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 91.4 nights, or 1.37 times that in Mali.
Côte d’IvoireMaliCMIP6 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 Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireMali
2014341.6250.2
2013339.6247.3
2012342.3253.1
2011340.1251.9
2010338.6250.4
2009337.3248
2008337.1247.8
2007336.7248.1
2006336.6245.5
2005337.6244.3
2004334.8243.9
2003337.3247.1
2002336.1245.8
2001339.5245.6
2000334.6243.2
1999331.3242.4
1998332.7240.6
1997331.8240.7
1996329.9236.4
1995330.5238
1994327.9236.2
1993327.2235.1
1992322232
1991331.7238.7
1990334241
1989328.9236.3
1988327.5234.7
1987327.9236.1
1986329.2237.1
1985324.9235.3
1984325.8233
1983325.4231.2
1982324234.9
1981327233.9
1980323.1231.5
1979327.1233.8
1978324.2234.8
1977325.5233.6
1976321.7231.7
1975322.8232.4
1974322229.7
1973323.8230.3
1972322.4230.7
1971322229.5
1970322.2229.9
1969320.9227.3
1968319.8230.5
1967317.1229
1966318.4228.1
1965320230.2
1964314.7228.9
1963317.4228.2
1962324.1231.7
1961323.1231.6
1960325.5235.1
1959322.1231.8
1958322.4231.8
1957321.2233.3
1956321.2230.7
1955320.1230.6
1954325.6232
1953322.9228.3
1952319.4229.2
1951323.9231.4
1950317.8228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireMali
2015339.1321.9–350.7247.9231.5–264.7
2016339.9324.6–349.1248231.3–262.6
2017340.5322.4–349.6252.7233.6–268.2
2018341.6327.4–351.6254.2236.4–269
2019338.5323.6–350.3251.6233.5–272.3
2020340.6324.2–352.9251.3231.2–270.7
2021340.8325.2–353.8254.8238.5–270
2022344327.2–353.4257237.8–275.3
2023341.2327.2–352.6254.2239.6–269.2
2024344.9331–353.9259.3242.3–276.8
2025342.4327.8–352.1256.2239.2–272.3
2026342.3326.6–353.3256.8237.2–277.8
2027343.9325.6–352.9258.5240.3–273.1
2028347.4333.6–355.5259.7243.6–273.9
2029347.2332.4–355.2260.8240.3–275.3
2030347.2332.1–353.8258.1237.5–272.6
2031349.3333.1–357.2262.2243.4–280.6
2032347.8331.5–356.9260.5242.1–278.2
2033348332.6–360.4262.1241.7–280.3
2034346.6331.7–355.8260.7242–275.3
2035348.9333.7–357.8261.5244.8–283.6
2036350.5332.7–359.1262.5244.6–281.1
2037349.8334.6–357.5264.5245.2–279.6
2038351.3338.9–358.2266246.7–283.2
2039350.6333.1–358.9262.3245–281.6
2040351.1336.2–359.6263.6247.5–279.6
2041350.8335.9–358264.6250.8–283.1
2042349.8337.3–358.6265.7245.9–283.5
2043348.4336.1–357.8264.8246.9–278.8
2044350.3337.5–359.2269.3247.4–284.7
2045351339.5–359.5265.6248.9–283.7
2046351.7337.6–358.6269.8247.5–286.4
2047352335.4–360.1271.9251.2–290.3
2048351.6339.9–360.3270.4254.4–288.2
2049353339.6–360.9272252.1–288.2
2050352340.6–359.3269.5250.6–286.4
2051353340.5–360.5268.8251.7–286.9
2052352339–359.8270.1252.7–292.1
2053352.7339–360.5269.3249.2–288.8
2054354.7339.5–360.9270.3251.7–290.6
2055353.4343.4–360.8270.9252.7–288.1
2056355.9339.6–362.8273248.6–291.4
2057356.3343–362275.5255.2–295
2058354.3344.5–361.3271252.7–293.2
2059355343.4–361.7274.5259.3–299.6
2060354.6343.3–362.1273.5258–293.7
2061354.6341.3–362.5275.4257–298
2062354.4340.8–361.3270.8251.7–291.8
2063355.4345.2–362.1275.9256.6–292.2
2064356.1344.6–362.9276.4256.6–298.4
2065355.5346.4–362.4275.3256–295.1
2066355.2344.5–361.2276.9260–296.5
2067355.3341.4–361.8272.6255.4–293.3
2068357.3346.3–363.6277.5258.1–296.5
2069355344.3–362.7276.1257.7–293.3
2070355.6344.2–362.3277.2256.6–296.6
2071356.8344.7–362.9277.2258.4–295.6
2072357.7346.2–363.1281.9263.8–298.9
2073356.6345.2–362.2276.8257.9–296.8
2074354.4342.1–362.7277.7258.7–295.9
2075356343.7–362.5278.5260.1–298.5
2076357.4348.5–363.3278.1261.1–294.2
2077358.1347.7–362.8283.8263.1–302.3
2078357.3346.8–363.2283.8263.5–299.4
2079357.4346.6–363.6278.9259.2–300.6
2080359.1349.4–364.7281.2262.1–299.4
2081358.8347.5–363.5279.1259.3–301.8
2082357346.9–363.4280.2260.2–298.4
2083357.8349.5–363.1280.8260.8–302.3
2084358.8349.3–363.4280.4263.8–301
2085359.7350.1–364284.6259.2–303
2086359347.7–363.8281.9262.8–302.4
2087358.8348.8–364.1279.7258.8–302.8
2088358347.4–363.7282.3260.7–303.3
2089357.4347.3–363.5283.4262.4–300.5
2090358.8346.1–363.9283.9259.8–301.9
2091358.3349.1–363.3283.1260.4–304.8
2092359.2347.5–364281.6259.7–303.1
2093359349.8–363.8284.8265.8–305.4
2094359.3350.1–363.1284.6262.8–305.6
2095358.1349.7–364283.6262–304.6
2096358.8348.3–365.1284.9263.3–306.3
2097358.9342.5–362.5280261–300.5
2098357.8348.1–363.6282.5262–302.1
2099359.2349.5–363.2285.3266.2–305.4
2100359.6348.3–363.8283.6262.8–304.1

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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