Benin vs Sudan

Benin vs Sudan: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 91.5 nights, or 1.38 times that in Sudan.

nights a year · CMIP6

Benin vs Sudan: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 91.5 nights, or 1.38 times that in Sudan.
BeninSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 359.6 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearBeninSudan
2014333.9242.4
2013328.9240
2012332.6242
2011330.1242.2
2010329.8240.6
2009325.2236.5
2008326.4237.1
2007325.2236
2006326.1235.3
2005324.3233.1
2004322.7233.5
2003327.4235.6
2002324234.7
2001329.4235.4
2000322.4230.5
1999317.9232.1
1998319.1230.2
1997320.6231.1
1996315.5227.3
1995316.5227.8
1994314.3225.3
1993313.5219.1
1992309.8217.8
1991316.1227.3
1990320.6227.5
1989313.1223
1988313.6223.1
1987313.3224.4
1986317.1226.4
1985314.6222.1
1984311.8220.7
1983308.8217
1982309.3216.3
1981314.8223.2
1980310.2220
1979311.9218.4
1978310218.5
1977314.4219.3
1976309.1220.1
1975307.3215.7
1974307.9217.5
1973311.8220
1972310.1217.9
1971305.9215.5
1970309.7217
1969305.9213.1
1968305.6214
1967305.6210.3
1966305.4213.3
1965306.1213.4
1964304.6213.2
1963304.6210.1
1962311.6217
1961307.4216.9
1960312.1221.3
1959312.4217.8
1958306.8216.2
1957311.8218.9
1956308.2217.2
1955308.6216.6
1954311.3218.9
1953307.4215.1
1952305.5216.4
1951309.4218.5
1950304.7214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninSudan
2015328.6309.6–343.6242.3225.3–258.3
2016330.8309.8–342.5241.4223.3–254.1
2017330311.6–342.9243.2223–259.1
2018331.2315.3–345.2242.3226.4–258.5
2019328.1308–346.4243.1221.7–260.4
2020330.1308.7–348.1244.9225.9–261.7
2021332.7314.3–347.2245.6229.1–261.5
2022334.9314.5–347.9249230.9–262.3
2023331.8310.2–346.4247.1226.8–263.1
2024340.3323.4–351.1251.5232.8–266.1
2025335315.9–346.3250.7232.4–265.6
2026335.9313.3–353.1250230.8–266.6
2027335.8315.2–349.1248.8228.4–265.6
2028340.1321.3–351.9249232.2–263.1
2029338.6323.1–350.8251.4232.1–266
2030339.7321.7–350252235.4–266.7
2031343.8323.3–354.6253.3234.4–268.9
2032340.8318.1–351.4250.4232.3–266.6
2033343.1320.1–354.4254.4235.3–269.4
2034339.8319.2–352.6254.2234.5–269.9
2035342.7322–354.2258.3240.2–273.6
2036341.8320.2–355.2252.8235.6–268.6
2037344324.8–353.5256.7238.6–271.8
2038346.6334.6–355.1258.7244.8–272.1
2039344.5327.1–355.1259.5241.2–272.5
2040346327.6–355.8256.4236.7–272.3
2041345.5331.9–357.4259.1241.2–274.5
2042343.9328.1–358.9258.7242–274.7
2043345.7326.6–355.4258.1240.3–272.6
2044347.3329.7–358.8257.3238.6–274.7
2045342.6328–358.9258.8243.1–276.2
2046347.9332.2–357.8261.1241.7–277.6
2047349.6330.6–358.7261.4244.6–278.4
2048349.8334.6–358.1260.4243.4–279.5
2049350.7333.4–359.3261.9242.6–275.9
2050351334–360.2263.5245.4–279
2051350338.1–359.9263.6246.6–278.8
2052348.6332.5–359.5263.8248.7–278.3
2053351.3331.1–359.3262.8242.4–279.2
2054353.3336.1–360.3266.3246.6–282.9
2055350.7336.5–359.7265.6245.9–281.4
2056353.4337.9–362264.1242.6–281.5
2057355339.4–361.3266.4247.6–283.4
2058352.5338–360.1265.2247.4–280.3
2059354.9338.8–361.9268.4249.6–285.4
2060353.2337.9–360.9263.6246.7–284.4
2061353.8331.6–362266.9250.1–281.9
2062353.5334.3–361.4266.4248.5–285
2063355.1335.9–361.9267.1246.9–283.4
2064353.9338–363.1269250.7–284.7
2065355.3343.1–362.4269.8253.9–285.6
2066352.4339.8–360.1271.4251.9–287.3
2067355.7336.9–362.9270.9250–288.4
2068357.5341.2–363.6271.9251.7–289.8
2069353.4339.4–362.3268251.1–286.2
2070354.4341–361.7269252.3–285.8
2071356.4338.9–362.8275.5254.1–290.4
2072357.8343.2–363.8273.3254.2–289.4
2073356.1339.2–362.4271.9250.7–287.6
2074355.1339–362.4270.9249–290.1
2075356.2344.1–363.5273.1254–291.9
2076357343.3–362.6272.7255.2–290.9
2077357.3343.8–363.1274.6255.2–292.7
2078357.9344.2–363.3274.3255.6–291.2
2079357.3347.1–362.8272255.2–288.5
2080358.9344.5–365.3276.6256–292.2
2081357.1341.4–363.9275.1254.1–294.8
2082357.1341.9–362.2272.9258.7–288.6
2083358.4346.7–363.4276.5258–291.7
2084357.9343.1–364.6275.4253–294.9
2085359.5346–364.2275.3258.6–291.6
2086359.2344.3–364.1276.4256.9–296.6
2087357.6343.8–364.2273.5253.1–293.3
2088358.5341.9–364.2273.6253.7–293.6
2089357.1346.7–363.7276.5256.6–293.4
2090359.7343.6–363.8276.6256.4–294.6
2091358.6342.2–364.1277.4256.4–296.6
2092359.3342.5–364.9274.6254.3–294.9
2093360.3348–364.4278261.9–292.1
2094359347.2–364.5280.3262.2–294
2095358.6345.9–364.3277.5262.6–294
2096359.2344.5–365.5279.7258.7–297
2097358.4343.3–363.8276.3254.1–297.6
2098358.2346.2–363.8277.7258.2–295.5
2099358344.6–363.9276.8257.2–296.2
2100359.6348.3–364.5278.6259–294.3

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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