Sudan vs Zimbabwe

Sudan vs Zimbabwe: Tropical nights

Tropical nights in 2014: 242.4 nights in Sudan and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 166 nights, or 3.17 times that in Zimbabwe.

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nights a year · CMIP6

Sudan vs Zimbabwe: Tropical nightsTropical nights in 2014: 242.4 nights in Sudan and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 166 nights, or 3.17 times that in Zimbabwe.
SudanZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Sudan at 278.6 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearSudanZimbabwe
2014242.476.4
201324078.4
201224275.9
2011242.273.3
2010240.671.5
2009236.569.6
2008237.169.8
200723669.3
2006235.370.3
2005233.169.5
2004233.571.8
2003235.672.9
2002234.771.3
2001235.471.3
2000230.567.4
1999232.162.3
1998230.266.3
1997231.162
1996227.357.7
1995227.858.9
1994225.356.8
1993219.150.1
1992217.852.1
1991227.358.7
1990227.561.5
198922360.4
1988223.161.6
1987224.457.3
1986226.458.6
1985222.154.1
1984220.754.6
198321753.3
1982216.353.7
1981223.257
198022057.3
1979218.456.2
1978218.553.1
1977219.355.2
1976220.151.2
1975215.753.6
1974217.554.2
197322053.9
1972217.953.2
1971215.551.1
197021753.1
1969213.153.3
196821448.7
1967210.348.7
1966213.348.8
1965213.448.6
1964213.244.6
1963210.147.4
196221755.8
1961216.951.6
1960221.355.6
1959217.853.6
1958216.255.3
1957218.953.2
1956217.248.6
1955216.654.4
1954218.953
1953215.151.8
1952216.452.7
1951218.552.3
1950214.151.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSudanZimbabwe
2015242.3225.3–258.379.463.5–98.5
2016241.4223.3–254.178.657.9–101.7
2017243.2223–259.181.263.3–98.5
2018242.3226.4–258.582.160.5–104.1
2019243.1221.7–260.482.863.9–102.3
2020244.9225.9–261.784.362.9–106.9
2021245.6229.1–261.582.564.7–102.7
2022249230.9–262.389.870.1–108.8
2023247.1226.8–263.190.672.5–110.7
2024251.5232.8–266.193.769.8–113.4
2025250.7232.4–265.68865.1–114.6
2026250230.8–266.689.767.8–113.9
2027248.8228.4–265.695.668.4–119.6
2028249232.2–263.193.371.4–115.7
2029251.4232.1–266100.277.2–120
2030252235.4–266.79671.6–115.3
2031253.3234.4–268.99874.9–119.8
2032250.4232.3–266.698.574.7–118.5
2033254.4235.3–269.498.974–120.6
2034254.2234.5–269.9100.277.3–128.1
2035258.3240.2–273.6103.975.7–130.6
2036252.8235.6–268.6100.878–123
2037256.7238.6–271.810882.1–131.1
2038258.7244.8–272.1110.986.5–135
2039259.5241.2–272.5102.480.4–122.3
2040256.4236.7–272.3101.379.5–133.5
2041259.1241.2–274.5108.483.7–134.2
2042258.7242–274.7108.883.1–139.9
2043258.1240.3–272.6107.985.7–137.3
2044257.3238.6–274.7111.287–134.8
2045258.8243.1–276.2106.186.2–130.7
2046261.1241.7–277.6112.386.4–139.1
2047261.4244.6–278.4119.692.1–145.9
2048260.4243.4–279.5116.888.4–143.9
2049261.9242.6–275.9119.290.4–146.2
2050263.5245.4–279122.794.1–148.6
2051263.6246.6–278.8122.4100.9–147.7
2052263.8248.7–278.3124.2101.3–152.8
2053262.8242.4–279.2121.689–146.9
2054266.3246.6–282.9123.993.9–150.8
2055265.6245.9–281.4126.597.9–153.7
2056264.1242.6–281.5126.198–154.7
2057266.4247.6–283.4122.797.6–150.7
2058265.2247.4–280.3125.3103–154.1
2059268.4249.6–285.4132.2107.4–157.4
2060263.6246.7–284.4132.599.9–159
2061266.9250.1–281.9126.694.2–161.1
2062266.4248.5–285126.399.6–157.3
2063267.1246.9–283.4127.7101–159.7
2064269250.7–284.7130.498–151.3
2065269.8253.9–285.6132.4107.6–165.6
2066271.4251.9–287.3134.5106.8–159.8
2067270.9250–288.4125.598.9–160.5
2068271.9251.7–289.8134102.3–166.1
2069268251.1–286.2136.9106.4–164.2
2070269252.3–285.8133.199.8–166.3
2071275.5254.1–290.4135.2108.4–173.7
2072273.3254.2–289.4140.4110.6–166.8
2073271.9250.7–287.6140.9109.7–173.6
2074270.9249–290.1135.5112–170.6
2075273.1254–291.9136108.5–166.6
2076272.7255.2–290.9133.7105.9–163.7
2077274.6255.2–292.7140.2114.3–170.6
2078274.3255.6–291.2137.5111.3–172.3
2079272255.2–288.5136.9110.2–172.6
2080276.6256–292.2145115.8–173.2
2081275.1254.1–294.8147.2106.5–174.1
2082272.9258.7–288.6141.4111.4–169.9
2083276.5258–291.7143.6106.5–179.2
2084275.4253–294.9149.4117.3–176.9
2085275.3258.6–291.6154.3114.9–182.7
2086276.4256.9–296.6141.7115.3–176.1
2087273.5253.1–293.3142.7116.8–177.3
2088273.6253.7–293.6150.2118.3–178.9
2089276.5256.6–293.4148.9121.3–176.4
2090276.6256.4–294.6145.7113.7–179.4
2091277.4256.4–296.6149.7116.5–181.8
2092274.6254.3–294.9149.4119.7–181.7
2093278261.9–292.1152.5117.1–184.1
2094280.3262.2–294150.9117.3–182.2
2095277.5262.6–294155118.3–181.5
2096279.7258.7–297152.4113.1–189.2
2097276.3254.1–297.6144.1113.8–183.3
2098277.7258.2–295.5152.4119.2–187
2099276.8257.2–296.2152.9117.3–185
2100278.6259–294.3148.3120.1–184.6

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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