Côte d’Ivoire vs Zambia

Côte d’Ivoire vs Zambia: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 278.7 nights, or 5.43 times that in Zambia.

nights a year · CMIP6

Côte d’Ivoire vs Zambia: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 278.7 nights, or 5.43 times that in Zambia.
Côte d’IvoireZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireZambia
2014341.662.9
2013339.664.7
2012342.363.9
2011340.161.5
2010338.659.3
2009337.357.5
2008337.156
2007336.755.1
2006336.655.9
2005337.654.5
2004334.858.4
2003337.356.6
2002336.155
2001339.559
2000334.652.9
1999331.348
1998332.751.3
1997331.847.8
1996329.943.5
1995330.543.9
1994327.941.6
1993327.235.3
199232236
1991331.742.7
199033446.4
1989328.945
1988327.543.6
1987327.944
1986329.243.8
1985324.938.7
1984325.838.7
1983325.438.8
198232440
198132741.7
1980323.139.7
1979327.140.7
1978324.238.9
1977325.540
1976321.735.7
1975322.837.1
197432237.4
1973323.838.8
1972322.435
197132236
1970322.238.1
1969320.937.1
1968319.834.1
1967317.132.2
1966318.433.1
196532034.9
1964314.731.3
1963317.430.5
1962324.138.8
1961323.137
1960325.539.3
1959322.138.3
1958322.439
1957321.237.8
1956321.234.6
1955320.138.2
1954325.638
1953322.935.4
1952319.437.6
1951323.936.9
1950317.836
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireZambia
2015339.1321.9–350.772.150.1–93.9
2016339.9324.6–349.166.845.9–85.7
2017340.5322.4–349.671.449.7–92.5
2018341.6327.4–351.673.852.7–94.8
2019338.5323.6–350.373.354–97.6
2020340.6324.2–352.977.556.9–100.4
2021340.8325.2–353.876.755.7–104.5
2022344327.2–353.484.861.6–109.7
2023341.2327.2–352.684.763–108
2024344.9331–353.985.158.2–113.9
2025342.4327.8–352.184.957.1–116
2026342.3326.6–353.383.658.4–119.4
2027343.9325.6–352.989.562.5–115.7
2028347.4333.6–355.589.965–118.6
2029347.2332.4–355.29669.8–122.8
2030347.2332.1–353.89166.7–118.1
2031349.3333.1–357.297.668.2–121.3
2032347.8331.5–356.994.970.3–122.2
2033348332.6–360.498.270.1–123.6
2034346.6331.7–355.897.370.4–135.2
2035348.9333.7–357.8104.168.4–137.8
2036350.5332.7–359.199.568.7–131.5
2037349.8334.6–357.5107.177.4–139.8
2038351.3338.9–358.2110.383.2–138.8
2039350.6333.1–358.9101.874.3–139.1
2040351.1336.2–359.6100.872.5–145.3
2041350.8335.9–358113.978.7–147.6
2042349.8337.3–358.6111.379.1–155.1
2043348.4336.1–357.8106.678.3–150.6
2044350.3337.5–359.2110.574.3–145.5
2045351339.5–359.5109.882.2–148.2
2046351.7337.6–358.6119.485.9–160
2047352335.4–360.1123.191.1–159.4
2048351.6339.9–360.3124.590.6–160.2
2049353339.6–360.9124.586.1–167.1
2050352340.6–359.3130.592–166
2051353340.5–360.5128.498.1–169.8
2052352339–359.8130.798.6–170.4
2053352.7339–360.5128.488–168.8
2054354.7339.5–360.9132.193–169.6
2055353.4343.4–360.8132.1100.1–176.1
2056355.9339.6–362.8132.492.7–179.6
2057356.3343–362133.298.5–178.5
2058354.3344.5–361.3137.299.2–179.7
2059355343.4–361.7139.8105.8–189.5
2060354.6343.3–362.1145.4102.9–191
2061354.6341.3–362.5136.692.8–196.9
2062354.4340.8–361.3143.9101–194.7
2063355.4345.2–362.1144.5101.7–187.8
2064356.1344.6–362.9147.998.4–180.9
2065355.5346.4–362.4148.6104.3–199.8
2066355.2344.5–361.2152.1109.4–193.6
2067355.3341.4–361.8140.6103.2–195.7
2068357.3346.3–363.6150.8105.7–200.3
2069355344.3–362.7150.5106.3–197
2070355.6344.2–362.3145.8104.7–202.4
2071356.8344.7–362.9153.1112.7–212
2072357.7346.2–363.1157.2120–195.7
2073356.6345.2–362.2161.5115.2–210.9
2074354.4342.1–362.7149.2115–198.7
2075356343.7–362.5148.2111.5–202.2
2076357.4348.5–363.3150.4112–201.9
2077358.1347.7–362.8156.5120.3–208.3
2078357.3346.8–363.2157.2122.2–209.5
2079357.4346.6–363.6156.8118.1–207.3
2080359.1349.4–364.7159.8116–211.9
2081358.8347.5–363.5160.2117.1–208.6
2082357346.9–363.4159.6119.6–200.6
2083357.8349.5–363.1159.5110.7–219.9
2084358.8349.3–363.4166124.3–210.3
2085359.7350.1–364172.9126.8–221.1
2086359347.7–363.8161.9120.6–224.1
2087358.8348.8–364.1158.3129.2–219.6
2088358347.4–363.7168.4123.9–218.5
2089357.4347.3–363.5168.5129.9–217.9
2090358.8346.1–363.9165.7124–223.8
2091358.3349.1–363.3177.4129.5–227.2
2092359.2347.5–364170.6127.8–221.5
2093359349.8–363.8173.6123.6–223.3
2094359.3350.1–363.1171.4130.3–220.7
2095358.1349.7–364179131.6–228.6
2096358.8348.3–365.1170.8124.8–233.3
2097358.9342.5–362.5167.2122.2–224.3
2098357.8348.1–363.6172.5131.9–226.9
2099359.2349.5–363.2171.7126.5–229.1
2100359.6348.3–363.8171.5124.3–228

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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