Côte d’Ivoire vs Zimbabwe

Côte d’Ivoire vs Zimbabwe: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 265.2 nights, or 4.47 times that in Zimbabwe.

nights a year · CMIP6

Côte d’Ivoire vs Zimbabwe: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 265.2 nights, or 4.47 times that in Zimbabwe.
Côte d’IvoireZimbabweCMIP6 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireZimbabwe
2014341.676.4
2013339.678.4
2012342.375.9
2011340.173.3
2010338.671.5
2009337.369.6
2008337.169.8
2007336.769.3
2006336.670.3
2005337.669.5
2004334.871.8
2003337.372.9
2002336.171.3
2001339.571.3
2000334.667.4
1999331.362.3
1998332.766.3
1997331.862
1996329.957.7
1995330.558.9
1994327.956.8
1993327.250.1
199232252.1
1991331.758.7
199033461.5
1989328.960.4
1988327.561.6
1987327.957.3
1986329.258.6
1985324.954.1
1984325.854.6
1983325.453.3
198232453.7
198132757
1980323.157.3
1979327.156.2
1978324.253.1
1977325.555.2
1976321.751.2
1975322.853.6
197432254.2
1973323.853.9
1972322.453.2
197132251.1
1970322.253.1
1969320.953.3
1968319.848.7
1967317.148.7
1966318.448.8
196532048.6
1964314.744.6
1963317.447.4
1962324.155.8
1961323.151.6
1960325.555.6
1959322.153.6
1958322.455.3
1957321.253.2
1956321.248.6
1955320.154.4
1954325.653
1953322.951.8
1952319.452.7
1951323.952.3
1950317.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireZimbabwe
2015339.1321.9–350.779.463.5–98.5
2016339.9324.6–349.178.657.9–101.7
2017340.5322.4–349.681.263.3–98.5
2018341.6327.4–351.682.160.5–104.1
2019338.5323.6–350.382.863.9–102.3
2020340.6324.2–352.984.362.9–106.9
2021340.8325.2–353.882.564.7–102.7
2022344327.2–353.489.870.1–108.8
2023341.2327.2–352.690.672.5–110.7
2024344.9331–353.993.769.8–113.4
2025342.4327.8–352.18865.1–114.6
2026342.3326.6–353.389.767.8–113.9
2027343.9325.6–352.995.668.4–119.6
2028347.4333.6–355.593.371.4–115.7
2029347.2332.4–355.2100.277.2–120
2030347.2332.1–353.89671.6–115.3
2031349.3333.1–357.29874.9–119.8
2032347.8331.5–356.998.574.7–118.5
2033348332.6–360.498.974–120.6
2034346.6331.7–355.8100.277.3–128.1
2035348.9333.7–357.8103.975.7–130.6
2036350.5332.7–359.1100.878–123
2037349.8334.6–357.510882.1–131.1
2038351.3338.9–358.2110.986.5–135
2039350.6333.1–358.9102.480.4–122.3
2040351.1336.2–359.6101.379.5–133.5
2041350.8335.9–358108.483.7–134.2
2042349.8337.3–358.6108.883.1–139.9
2043348.4336.1–357.8107.985.7–137.3
2044350.3337.5–359.2111.287–134.8
2045351339.5–359.5106.186.2–130.7
2046351.7337.6–358.6112.386.4–139.1
2047352335.4–360.1119.692.1–145.9
2048351.6339.9–360.3116.888.4–143.9
2049353339.6–360.9119.290.4–146.2
2050352340.6–359.3122.794.1–148.6
2051353340.5–360.5122.4100.9–147.7
2052352339–359.8124.2101.3–152.8
2053352.7339–360.5121.689–146.9
2054354.7339.5–360.9123.993.9–150.8
2055353.4343.4–360.8126.597.9–153.7
2056355.9339.6–362.8126.198–154.7
2057356.3343–362122.797.6–150.7
2058354.3344.5–361.3125.3103–154.1
2059355343.4–361.7132.2107.4–157.4
2060354.6343.3–362.1132.599.9–159
2061354.6341.3–362.5126.694.2–161.1
2062354.4340.8–361.3126.399.6–157.3
2063355.4345.2–362.1127.7101–159.7
2064356.1344.6–362.9130.498–151.3
2065355.5346.4–362.4132.4107.6–165.6
2066355.2344.5–361.2134.5106.8–159.8
2067355.3341.4–361.8125.598.9–160.5
2068357.3346.3–363.6134102.3–166.1
2069355344.3–362.7136.9106.4–164.2
2070355.6344.2–362.3133.199.8–166.3
2071356.8344.7–362.9135.2108.4–173.7
2072357.7346.2–363.1140.4110.6–166.8
2073356.6345.2–362.2140.9109.7–173.6
2074354.4342.1–362.7135.5112–170.6
2075356343.7–362.5136108.5–166.6
2076357.4348.5–363.3133.7105.9–163.7
2077358.1347.7–362.8140.2114.3–170.6
2078357.3346.8–363.2137.5111.3–172.3
2079357.4346.6–363.6136.9110.2–172.6
2080359.1349.4–364.7145115.8–173.2
2081358.8347.5–363.5147.2106.5–174.1
2082357346.9–363.4141.4111.4–169.9
2083357.8349.5–363.1143.6106.5–179.2
2084358.8349.3–363.4149.4117.3–176.9
2085359.7350.1–364154.3114.9–182.7
2086359347.7–363.8141.7115.3–176.1
2087358.8348.8–364.1142.7116.8–177.3
2088358347.4–363.7150.2118.3–178.9
2089357.4347.3–363.5148.9121.3–176.4
2090358.8346.1–363.9145.7113.7–179.4
2091358.3349.1–363.3149.7116.5–181.8
2092359.2347.5–364149.4119.7–181.7
2093359349.8–363.8152.5117.1–184.1
2094359.3350.1–363.1150.9117.3–182.2
2095358.1349.7–364155118.3–181.5
2096358.8348.3–365.1152.4113.1–189.2
2097358.9342.5–362.5144.1113.8–183.3
2098357.8348.1–363.6152.4119.2–187
2099359.2349.5–363.2152.9117.3–185
2100359.6348.3–363.8148.3120.1–184.6

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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