Sudan vs Tanzania

Sudan vs Tanzania: Tropical nights

Tropical nights in 2014: 242.4 nights in Sudan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 136.1 nights, or 2.28 times that in Tanzania.

nights a year · CMIP6

Sudan vs Tanzania: Tropical nightsTropical nights in 2014: 242.4 nights in Sudan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 136.1 nights, or 2.28 times that in Tanzania.
SudanTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSudanTanzania
2014242.4106.3
2013240105.5
2012242108.4
2011242.2109
2010240.6103.9
2009236.5101.1
2008237.1100.3
200723699.5
2006235.3100.4
2005233.198.7
2004233.5100.4
2003235.699.6
2002234.798.4
2001235.4101.5
2000230.594.9
1999232.194.2
1998230.296.8
1997231.193.5
1996227.389.6
1995227.888.5
1994225.385.4
1993219.181.2
1992217.880.1
1991227.389.6
1990227.591.1
198922389.1
1988223.187.6
1987224.488.5
1986226.489.4
1985222.183
1984220.783.1
198321782.1
1982216.384.8
1981223.288
198022085
1979218.485.5
1978218.582.9
1977219.384.1
1976220.181
1975215.780.8
1974217.582.2
197322083.6
1972217.981.4
1971215.580.7
197021781.8
1969213.179.5
196821479.1
1967210.377.5
1966213.378.1
1965213.478
1964213.273.8
1963210.173.1
196221781.1
1961216.982.6
1960221.383.9
1959217.881.4
1958216.282.1
1957218.980.9
1956217.280
1955216.681.6
1954218.981.4
1953215.180.6
1952216.481.4
1951218.582.1
1950214.180.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSudanTanzania
2015242.3225.3–258.3114.895.2–137.4
2016241.4223.3–254.1108.391.6–125.6
2017243.2223–259.1114.893.6–137.8
2018242.3226.4–258.5116.497.4–137.1
2019243.1221.7–260.4113.495.2–133.2
2020244.9225.9–261.7119.396.2–143.5
2021245.6229.1–261.5119.5100.9–147.1
2022249230.9–262.3124.4105.3–147.4
2023247.1226.8–263.1122.1102.1–147.8
2024251.5232.8–266.1126.2100–150.1
2025250.7232.4–265.6124.6100.9–154
2026250230.8–266.6126.999.1–155.6
2027248.8228.4–265.6128102.9–147.7
2028249232.2–263.1129.9106.4–152.1
2029251.4232.1–266134.1111–156.5
2030252235.4–266.7129.4106.4–151.1
2031253.3234.4–268.9136.4115.9–158.4
2032250.4232.3–266.6135.1114–166.8
2033254.4235.3–269.4135.2110.9–161.9
2034254.2234.5–269.9134.7112.5–166.3
2035258.3240.2–273.6140.2114.6–165
2036252.8235.6–268.6137.8113.3–165.5
2037256.7238.6–271.8142.9121.5–168.9
2038258.7244.8–272.1147.9124.3–169.3
2039259.5241.2–272.5144.3117.6–171.3
2040256.4236.7–272.3140.5117–178
2041259.1241.2–274.5149.1121.7–175.6
2042258.7242–274.7146.3120.5–185.3
2043258.1240.3–272.6144.6117–173
2044257.3238.6–274.7147.7121.2–175.8
2045258.8243.1–276.2150.1125.2–183.4
2046261.1241.7–277.6161.5128.6–192.2
2047261.4244.6–278.4160.2129.7–194.4
2048260.4243.4–279.5158.8132.7–193.1
2049261.9242.6–275.9157.6131.1–196
2050263.5245.4–279159.7127.8–192
2051263.6246.6–278.8163.2135.5–197.8
2052263.8248.7–278.3161.9136.2–199.1
2053262.8242.4–279.2160.6127.5–197.7
2054266.3246.6–282.9163.2131.5–200.2
2055265.6245.9–281.4167.4137–208.3
2056264.1242.6–281.5166.4130.8–209.7
2057266.4247.6–283.4168134.6–208.3
2058265.2247.4–280.3168.7134.9–210.3
2059268.4249.6–285.4174.7144.9–219.5
2060263.6246.7–284.4181.7138.1–219.8
2061266.9250.1–281.9171.8135.5–218.1
2062266.4248.5–285177.5139.9–224
2063267.1246.9–283.4181.4140.1–213.8
2064269250.7–284.7185.3140.1–215.2
2065269.8253.9–285.6183.5141.1–221.8
2066271.4251.9–287.3181.9146.3–219.3
2067270.9250–288.4178.8138.8–229.2
2068271.9251.7–289.8186144.2–228.4
2069268251.1–286.2183.7141.7–225.3
2070269252.3–285.8180.7140.4–228.2
2071275.5254.1–290.4184.9146.9–235.2
2072273.3254.2–289.4191.3155–226.1
2073271.9250.7–287.6191.6152.4–235.6
2074270.9249–290.1183.3149.7–231.7
2075273.1254–291.9183.8144.8–233
2076272.7255.2–290.9191.1150.9–233.2
2077274.6255.2–292.7191.3152.6–238.2
2078274.3255.6–291.2189156.6–233.8
2079272255.2–288.5190.5147–237.3
2080276.6256–292.2197.3150.7–241.2
2081275.1254.1–294.8195.6153.4–237.4
2082272.9258.7–288.6194.5157.3–237.3
2083276.5258–291.7193.2151–249.8
2084275.4253–294.9201.1152.2–246.7
2085275.3258.6–291.6204.2162.3–252.3
2086276.4256.9–296.6195156–248.7
2087273.5253.1–293.3196.7160.8–244.5
2088273.6253.7–293.6208.4154.7–246.9
2089276.5256.6–293.4201.3158.6–248.2
2090276.6256.4–294.6197.9160.7–253.6
2091277.4256.4–296.6210161.6–256
2092274.6254.3–294.9205.8158.3–253.6
2093278261.9–292.1207.2161.2–251.9
2094280.3262.2–294207.9161.3–250.6
2095277.5262.6–294214.2166.4–258.5
2096279.7258.7–297205.3159.8–257.4
2097276.3254.1–297.6206.6158.4–256.8
2098277.7258.2–295.5209.1161–258.3
2099276.8257.2–296.2208.5160.1–256
2100278.6259–294.3208158.6–258.6

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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