Guinea vs Zimbabwe

Guinea vs Zimbabwe: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 210.2 nights, or 3.75 times that in Zimbabwe.

nights a year · CMIP6

Guinea vs Zimbabwe: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 210.2 nights, or 3.75 times that in Zimbabwe.
GuineaZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaZimbabwe
2014286.676.4
2013285.378.4
2012292.975.9
2011288.873.3
2010285.271.5
2009282.569.6
200827969.8
2007278.969.3
2006278.870.3
2005278.969.5
200427671.8
2003279.672.9
2002277.171.3
2001279.871.3
2000273.167.4
199926762.3
1998268.466.3
1997266.662
1996260.457.7
1995260.358.9
199425556.8
1993246.650.1
1992242.452.1
1991264.358.7
1990266.461.5
1989259.760.4
1988256.961.6
1987258.457.3
1986259.958.6
1985252.654.1
1984249.654.6
1983248.453.3
198225053.7
1981253.557
1980251.257.3
1979251.256.2
197825253.1
1977250.455.2
197624451.2
1975242.353.6
1974247.254.2
1973249.353.9
1972246.153.2
1971244.551.1
197024953.1
1969241.253.3
1968241.548.7
1967233.348.7
1966237.748.8
1965239.848.6
196423144.6
1963225.847.4
1962246.955.8
196124651.6
1960250.555.6
1959244.853.6
1958245.655.3
1957247.553.2
1956242.448.6
1955243.554.4
1954250.253
1953241.251.8
1952240.352.7
1951248.852.3
1950240.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaZimbabwe
2015286.7259.9–308.579.463.5–98.5
2016288.9262.6–30478.657.9–101.7
2017291.6265.5–311.481.263.3–98.5
2018295.6269.3–311.882.160.5–104.1
2019291.8266.8–313.682.863.9–102.3
2020291.2265.6–315.484.362.9–106.9
2021295.8268–316.382.564.7–102.7
2022299.9277.9–322.489.870.1–108.8
2023296273.8–31890.672.5–110.7
2024302.3276.9–322.893.769.8–113.4
2025298.9275.2–322.48865.1–114.6
2026302.5269.3–323.989.767.8–113.9
2027302.6276.3–320.295.668.4–119.6
2028308.2285.4–325.893.371.4–115.7
2029309.3280.6–327.2100.277.2–120
2030305.5277.4–322.49671.6–115.3
2031313.2282.2–329.69874.9–119.8
2032307.7287.3–329.598.574.7–118.5
2033310.4282.4–337.898.974–120.6
2034308281.7–327.4100.277.3–128.1
2035311.2284.9–333103.975.7–130.6
2036312.8285.7–334.5100.878–123
2037315.5291.8–331.110882.1–131.1
2038317.9296.3–333.9110.986.5–135
2039314.1291.6–336102.480.4–122.3
2040316.1292.9–334.6101.379.5–133.5
2041315.4296.5–335.7108.483.7–134.2
2042316290.7–336.6108.883.1–139.9
2043314.8291.1–332.7107.985.7–137.3
2044319.8289.7–337.5111.287–134.8
2045318.6296.4–339106.186.2–130.7
2046321.4295.7–337112.386.4–139.1
2047324.6297.9–342.8119.692.1–145.9
2048324.8304.4–341.1116.888.4–143.9
2049324.2302.4–340.2119.290.4–146.2
2050322.4299.7–339.6122.794.1–148.6
2051326.1300.4–342122.4100.9–147.7
2052324301.5–342.8124.2101.3–152.8
2053325.6298–345.3121.689–146.9
2054329.5301.3–345.1123.993.9–150.8
2055324.4305.3–342.4126.597.9–153.7
2056329.6299.4–349.4126.198–154.7
2057332.4301.5–351122.797.6–150.7
2058328.8305.6–347.6125.3103–154.1
2059330.3310.8–350.5132.2107.4–157.4
2060328.3309.4–348.2132.599.9–159
2061330.5304.6–352.8126.694.2–161.1
2062327.7307.3–346.5126.399.6–157.3
2063333.4311–349.1127.7101–159.7
2064330.9310.6–351.6130.498–151.3
2065331.4309.7–350.6132.4107.6–165.6
2066331.8312.3–347.4134.5106.8–159.8
2067329.1304–348.6125.598.9–160.5
2068335.4309.6–354.5134102.3–166.1
2069333.5313–351.4136.9106.4–164.2
2070331.7310.9–352.7133.199.8–166.3
2071334.6315.6–352.4135.2108.4–173.7
2072338.3317–353.2140.4110.6–166.8
2073334309.7–351.6140.9109.7–173.6
2074330.2310.6–352135.5112–170.6
2075334312–352.2136108.5–166.6
2076338.4321.3–352.1133.7105.9–163.7
2077341.4318.4–355.6140.2114.3–170.6
2078338.1316.6–355.8137.5111.3–172.3
2079337.5318.8–355.3136.9110.2–172.6
2080339.8315.4–358145115.8–173.2
2081339.3318.2–356.6147.2106.5–174.1
2082337.9316.1–353.3141.4111.4–169.9
2083339.2320.8–355.8143.6106.5–179.2
2084340.5321–354.6149.4117.3–176.9
2085343.8319.9–358.1154.3114.9–182.7
2086342.2318.7–358.7141.7115.3–176.1
2087340.7319.9–357.6142.7116.8–177.3
2088341.2318.3–354.9150.2118.3–178.9
2089337.9318.6–354.8148.9121.3–176.4
2090341.1315–356145.7113.7–179.4
2091339.7319.7–355.5149.7116.5–181.8
2092339.7320.4–356.8149.4119.7–181.7
2093341.8325.1–356.2152.5117.1–184.1
2094342.2324–356.4150.9117.3–182.2
2095340.7323.5–359.3155118.3–181.5
2096343.2324–359.7152.4113.1–189.2
2097340.3313.8–353.8144.1113.8–183.3
2098339.9318.8–357152.4119.2–187
2099341.5324.6–355.9152.9117.3–185
2100345.3319.6–357.9148.3120.1–184.6

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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