Côte d’Ivoire vs Uganda

Côte d’Ivoire vs Uganda: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 216.9 nights, or 2.74 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Côte d’Ivoire vs Uganda: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 216.9 nights, or 2.74 times that in Uganda.
Côte d’IvoireUgandaCMIP6 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireUganda
2014341.6124.7
2013339.6124
2012342.3122.2
2011340.1125.7
2010338.6122.5
2009337.3114.8
2008337.1114.1
2007336.7111.2
2006336.6117.4
2005337.6113.8
2004334.8114.6
2003337.3114.4
2002336.1114.4
2001339.5117.1
2000334.6109
1999331.3105.5
1998332.7105
1997331.8106.1
1996329.9102.1
1995330.599.9
1994327.994.6
1993327.290.8
199232289.9
1991331.7102.1
1990334103.8
1989328.999.1
1988327.598.6
1987327.998.3
1986329.299.2
1985324.992.1
1984325.894.6
1983325.490.4
198232494.4
198132798.5
1980323.196.3
1979327.193.9
1978324.291
1977325.595.1
1976321.792
1975322.889.6
197432291.8
1973323.892.8
1972322.490
197132287.1
1970322.288.8
1969320.988
1968319.887.3
1967317.182.3
1966318.482.5
196532082.2
1964314.778.2
1963317.480.3
1962324.188.5
1961323.190.7
1960325.593.2
1959322.191.3
1958322.488.7
1957321.290.1
1956321.288.8
1955320.189
1954325.689.5
1953322.989
1952319.489.6
1951323.991.1
1950317.887.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireUganda
2015339.1321.9–350.7131.598.6–164.1
2016339.9324.6–349.112398.5–154.1
2017340.5322.4–349.6133.7108.6–162.7
2018341.6327.4–351.6134.2102.5–164
2019338.5323.6–350.3131.3104.8–166.2
2020340.6324.2–352.9140.7102.6–171.5
2021340.8325.2–353.8137.9112.9–175.4
2022344327.2–353.4140116.2–169.9
2023341.2327.2–352.6140.4114.2–184.8
2024344.9331–353.9151.1113.5–186.7
2025342.4327.8–352.1143108.5–176.4
2026342.3326.6–353.3144.6109.7–179.6
2027343.9325.6–352.9147.6116–175.4
2028347.4333.6–355.5151.6120.2–179.6
2029347.2332.4–355.2155.2127.3–178.6
2030347.2332.1–353.8150.4117.6–185.1
2031349.3333.1–357.2161.6132–187.2
2032347.8331.5–356.9159.1134.2–190.5
2033348332.6–360.4158.9123.4–200.6
2034346.6331.7–355.8161.5135.6–202.5
2035348.9333.7–357.8164.9126.3–193
2036350.5332.7–359.1158.5127.7–195.4
2037349.8334.6–357.5168.3138.2–207.3
2038351.3338.9–358.2173.8139.7–206.2
2039350.6333.1–358.9171.2130.1–205
2040351.1336.2–359.6170.4134.1–207.4
2041350.8335.9–358176.3144.6–208
2042349.8337.3–358.6175137.8–214.3
2043348.4336.1–357.8173.6132.8–207.6
2044350.3337.5–359.2176.1136.8–206.9
2045351339.5–359.5178.9138.3–217.7
2046351.7337.6–358.6191.9136.6–235
2047352335.4–360.1187.7156.6–225.3
2048351.6339.9–360.3189.3151.5–227.4
2049353339.6–360.9195.1154.9–233.6
2050352340.6–359.3191150.7–236.4
2051353340.5–360.5191.2154.4–228.2
2052352339–359.8192.6157.7–231.7
2053352.7339–360.5194.5149.7–233.5
2054354.7339.5–360.9199156.3–236.8
2055353.4343.4–360.8201.3151.7–240.7
2056355.9339.6–362.8198.9156.9–240.2
2057356.3343–362200165.5–244.7
2058354.3344.5–361.3208.8156.5–248.3
2059355343.4–361.7212.7171.1–254
2060354.6343.3–362.1212.6160.3–253.1
2061354.6341.3–362.5208.9162.4–258.1
2062354.4340.8–361.3206.4159.1–267.6
2063355.4345.2–362.1209.3168.5–246.3
2064356.1344.6–362.9210.6166.2–253.8
2065355.5346.4–362.4214.5167.8–261.1
2066355.2344.5–361.2211.9171.8–256.1
2067355.3341.4–361.8208.4168.3–269.8
2068357.3346.3–363.6216.4169.7–268.7
2069355344.3–362.7213170.3–268.1
2070355.6344.2–362.3216.4176.4–270.9
2071356.8344.7–362.9215.5174.6–273.5
2072357.7346.2–363.1227.3184.1–272.3
2073356.6345.2–362.2230.4189.3–278.5
2074354.4342.1–362.7220.7176.9–277
2075356343.7–362.5217.7167–274.2
2076357.4348.5–363.3228.1178.9–279
2077358.1347.7–362.8229.5189.6–280.5
2078357.3346.8–363.2225.6187.8–276.4
2079357.4346.6–363.6231.9168.8–277.7
2080359.1349.4–364.7232.8182.6–283.1
2081358.8347.5–363.5227.9187.6–279.3
2082357346.9–363.4233.1185.6–279.4
2083357.8349.5–363.1232.2175.7–297
2084358.8349.3–363.4237.2185.5–288.8
2085359.7350.1–364239.5192.4–291.7
2086359347.7–363.8236.2189.8–289.4
2087358.8348.8–364.1239.4188.9–294
2088358347.4–363.7236.8193.6–288.9
2089357.4347.3–363.5238.8193.8–293.7
2090358.8346.1–363.9237.7190.1–301.5
2091358.3349.1–363.3251188.7–300.1
2092359.2347.5–364243.4194.9–297.8
2093359349.8–363.8244.4199.2–296.8
2094359.3350.1–363.1245.6202.9–299.8
2095358.1349.7–364253.2202.4–306.1
2096358.8348.3–365.1241.4196.5–304
2097358.9342.5–362.5243.1194–296.6
2098357.8348.1–363.6242.9199–302.3
2099359.2349.5–363.2247.3194.4–306.1
2100359.6348.3–363.8245.3195.5–307.2

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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