Guinea vs Côte d’Ivoire

Guinea vs Côte d’Ivoire: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 55 nights, or 1.19 times that in Guinea.

nights a year · CMIP6

Guinea vs Côte d’Ivoire: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 55 nights, or 1.19 times that in Guinea.
GuineaCôte d’IvoireCMIP6 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 Guinea at 345.3 nights and Côte d’Ivoire at 359.6 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaCôte d’Ivoire
2014286.6341.6
2013285.3339.6
2012292.9342.3
2011288.8340.1
2010285.2338.6
2009282.5337.3
2008279337.1
2007278.9336.7
2006278.8336.6
2005278.9337.6
2004276334.8
2003279.6337.3
2002277.1336.1
2001279.8339.5
2000273.1334.6
1999267331.3
1998268.4332.7
1997266.6331.8
1996260.4329.9
1995260.3330.5
1994255327.9
1993246.6327.2
1992242.4322
1991264.3331.7
1990266.4334
1989259.7328.9
1988256.9327.5
1987258.4327.9
1986259.9329.2
1985252.6324.9
1984249.6325.8
1983248.4325.4
1982250324
1981253.5327
1980251.2323.1
1979251.2327.1
1978252324.2
1977250.4325.5
1976244321.7
1975242.3322.8
1974247.2322
1973249.3323.8
1972246.1322.4
1971244.5322
1970249322.2
1969241.2320.9
1968241.5319.8
1967233.3317.1
1966237.7318.4
1965239.8320
1964231314.7
1963225.8317.4
1962246.9324.1
1961246323.1
1960250.5325.5
1959244.8322.1
1958245.6322.4
1957247.5321.2
1956242.4321.2
1955243.5320.1
1954250.2325.6
1953241.2322.9
1952240.3319.4
1951248.8323.9
1950240.8317.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaCôte d’Ivoire
2015286.7259.9–308.5339.1321.9–350.7
2016288.9262.6–304339.9324.6–349.1
2017291.6265.5–311.4340.5322.4–349.6
2018295.6269.3–311.8341.6327.4–351.6
2019291.8266.8–313.6338.5323.6–350.3
2020291.2265.6–315.4340.6324.2–352.9
2021295.8268–316.3340.8325.2–353.8
2022299.9277.9–322.4344327.2–353.4
2023296273.8–318341.2327.2–352.6
2024302.3276.9–322.8344.9331–353.9
2025298.9275.2–322.4342.4327.8–352.1
2026302.5269.3–323.9342.3326.6–353.3
2027302.6276.3–320.2343.9325.6–352.9
2028308.2285.4–325.8347.4333.6–355.5
2029309.3280.6–327.2347.2332.4–355.2
2030305.5277.4–322.4347.2332.1–353.8
2031313.2282.2–329.6349.3333.1–357.2
2032307.7287.3–329.5347.8331.5–356.9
2033310.4282.4–337.8348332.6–360.4
2034308281.7–327.4346.6331.7–355.8
2035311.2284.9–333348.9333.7–357.8
2036312.8285.7–334.5350.5332.7–359.1
2037315.5291.8–331.1349.8334.6–357.5
2038317.9296.3–333.9351.3338.9–358.2
2039314.1291.6–336350.6333.1–358.9
2040316.1292.9–334.6351.1336.2–359.6
2041315.4296.5–335.7350.8335.9–358
2042316290.7–336.6349.8337.3–358.6
2043314.8291.1–332.7348.4336.1–357.8
2044319.8289.7–337.5350.3337.5–359.2
2045318.6296.4–339351339.5–359.5
2046321.4295.7–337351.7337.6–358.6
2047324.6297.9–342.8352335.4–360.1
2048324.8304.4–341.1351.6339.9–360.3
2049324.2302.4–340.2353339.6–360.9
2050322.4299.7–339.6352340.6–359.3
2051326.1300.4–342353340.5–360.5
2052324301.5–342.8352339–359.8
2053325.6298–345.3352.7339–360.5
2054329.5301.3–345.1354.7339.5–360.9
2055324.4305.3–342.4353.4343.4–360.8
2056329.6299.4–349.4355.9339.6–362.8
2057332.4301.5–351356.3343–362
2058328.8305.6–347.6354.3344.5–361.3
2059330.3310.8–350.5355343.4–361.7
2060328.3309.4–348.2354.6343.3–362.1
2061330.5304.6–352.8354.6341.3–362.5
2062327.7307.3–346.5354.4340.8–361.3
2063333.4311–349.1355.4345.2–362.1
2064330.9310.6–351.6356.1344.6–362.9
2065331.4309.7–350.6355.5346.4–362.4
2066331.8312.3–347.4355.2344.5–361.2
2067329.1304–348.6355.3341.4–361.8
2068335.4309.6–354.5357.3346.3–363.6
2069333.5313–351.4355344.3–362.7
2070331.7310.9–352.7355.6344.2–362.3
2071334.6315.6–352.4356.8344.7–362.9
2072338.3317–353.2357.7346.2–363.1
2073334309.7–351.6356.6345.2–362.2
2074330.2310.6–352354.4342.1–362.7
2075334312–352.2356343.7–362.5
2076338.4321.3–352.1357.4348.5–363.3
2077341.4318.4–355.6358.1347.7–362.8
2078338.1316.6–355.8357.3346.8–363.2
2079337.5318.8–355.3357.4346.6–363.6
2080339.8315.4–358359.1349.4–364.7
2081339.3318.2–356.6358.8347.5–363.5
2082337.9316.1–353.3357346.9–363.4
2083339.2320.8–355.8357.8349.5–363.1
2084340.5321–354.6358.8349.3–363.4
2085343.8319.9–358.1359.7350.1–364
2086342.2318.7–358.7359347.7–363.8
2087340.7319.9–357.6358.8348.8–364.1
2088341.2318.3–354.9358347.4–363.7
2089337.9318.6–354.8357.4347.3–363.5
2090341.1315–356358.8346.1–363.9
2091339.7319.7–355.5358.3349.1–363.3
2092339.7320.4–356.8359.2347.5–364
2093341.8325.1–356.2359349.8–363.8
2094342.2324–356.4359.3350.1–363.1
2095340.7323.5–359.3358.1349.7–364
2096343.2324–359.7358.8348.3–365.1
2097340.3313.8–353.8358.9342.5–362.5
2098339.9318.8–357357.8348.1–363.6
2099341.5324.6–355.9359.2349.5–363.2
2100345.3319.6–357.9359.6348.3–363.8

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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