Mali vs South Sudan

Mali vs South Sudan: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 93.5 nights, or 1.37 times that in Mali.

nights a year · CMIP6

Mali vs South Sudan: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 93.5 nights, or 1.37 times that in Mali.
MaliSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South 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 Mali at 283.6 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearMaliSouth Sudan
2014250.2343.7
2013247.3342.1
2012253.1342.8
2011251.9343.3
2010250.4341.9
2009248338.8
2008247.8339.8
2007248.1336.9
2006245.5339
2005244.3336.8
2004243.9336.6
2003247.1338.9
2002245.8336.6
2001245.6338.7
2000243.2334.6
1999242.4331.8
1998240.6333.6
1997240.7334.5
1996236.4330.7
1995238329.6
1994236.2328.2
1993235.1321.9
1992232321.5
1991238.7329.1
1990241332.6
1989236.3329
1988234.7330.5
1987236.1328.8
1986237.1330.4
1985235.3327.1
1984233324.1
1983231.2322.8
1982234.9322.8
1981233.9329.9
1980231.5326.5
1979233.8325.3
1978234.8324.1
1977233.6325
1976231.7322.6
1975232.4320.8
1974229.7320.1
1973230.3325.4
1972230.7324.7
1971229.5319.9
1970229.9322.3
1969227.3318.5
1968230.5318.3
1967229315.6
1966228.1317.2
1965230.2316.5
1964228.9312.9
1963228.2309.8
1962231.7323.9
1961231.6323.3
1960235.1324.8
1959231.8321.5
1958231.8320.2
1957233.3322.1
1956230.7319.5
1955230.6317
1954232322.4
1953228.3321.6
1952229.2322.4
1951231.4323.9
1950228.6318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliSouth Sudan
2015247.9231.5–264.7342.7327.5–353.3
2016248231.3–262.6342.1325.1–351.1
2017252.7233.6–268.2344.5326.9–353.7
2018254.2236.4–269344.1324.9–353.7
2019251.6233.5–272.3344.5324–354.2
2020251.3231.2–270.7344.9326.9–355.6
2021254.8238.5–270347.3329.2–355.3
2022257237.8–275.3344.5326.1–355.5
2023254.2239.6–269.2347.2329.2–357
2024259.3242.3–276.8350.4331.6–357.9
2025256.2239.2–272.3347.1330.2–357.7
2026256.8237.2–277.8347.6329.5–356.7
2027258.5240.3–273.1346327.1–356.1
2028259.7243.6–273.9349.4333.5–357.3
2029260.8240.3–275.3348.6337.5–355.6
2030258.1237.5–272.6349.3335.5–357.2
2031262.2243.4–280.6351.3336.3–357.6
2032260.5242.1–278.2348.6333.6–357.7
2033262.1241.7–280.3350.8336.7–359.4
2034260.7242–275.3350.2337.5–358.3
2035261.5244.8–283.6352.3331–359.5
2036262.5244.6–281.1352340.8–359.1
2037264.5245.2–279.6351.9337.4–359.5
2038266246.7–283.2354.3341.9–359.6
2039262.3245–281.6353.8340.6–360
2040263.6247.5–279.6353.5338.7–360.2
2041264.6250.8–283.1353.2336.9–360.2
2042265.7245.9–283.5351.9336.9–360.3
2043264.8246.9–278.8353.2336.2–359.5
2044269.3247.4–284.7353.7339.9–361.1
2045265.6248.9–283.7353.7342.2–360.6
2046269.8247.5–286.4355.4342.2–361
2047271.9251.2–290.3355.7344–361.2
2048270.4254.4–288.2354.7342.5–361.6
2049272252.1–288.2356.7346.4–361.1
2050269.5250.6–286.4356.8345.6–361.7
2051268.8251.7–286.9356345.4–361.8
2052270.1252.7–292.1355.3343.8–362.2
2053269.3249.2–288.8355.5343.4–361.7
2054270.3251.7–290.6356.9345.2–362.1
2055270.9252.7–288.1356.9345–361.7
2056273248.6–291.4356.7345.7–363.1
2057275.5255.2–295358.4349.2–362.6
2058271252.7–293.2357.7345–361.8
2059274.5259.3–299.6358.6348.4–362.6
2060273.5258–293.7357.7344.7–363.8
2061275.4257–298358.2345.8–362.7
2062270.8251.7–291.8357.4345.2–363.1
2063275.9256.6–292.2358.8347.3–362.6
2064276.4256.6–298.4358.9348.4–363.3
2065275.3256–295.1359.1351.1–362.9
2066276.9260–296.5359.2350.6–363.1
2067272.6255.4–293.3358.6347.6–363.3
2068277.5258.1–296.5359.9350.3–364.4
2069276.1257.7–293.3357.6347–363.1
2070277.2256.6–296.6359.5350.4–363
2071277.2258.4–295.6359.6350.5–363.2
2072281.9263.8–298.9360.2348.4–364.2
2073276.8257.9–296.8359.3350.3–363.5
2074277.7258.7–295.9359.5348–363.3
2075278.5260.1–298.5359.9348.5–363.4
2076278.1261.1–294.2359.4350.5–364
2077283.8263.1–302.3359.9352.2–363.7
2078283.8263.5–299.4360351.2–363.4
2079278.9259.2–300.6359.8350.9–363.3
2080281.2262.1–299.4361.3349.8–364.6
2081279.1259.3–301.8360.4350.5–363.9
2082280.2260.2–298.4360.3351–363.3
2083280.8260.8–302.3360351.1–363.8
2084280.4263.8–301360.8350.8–364.9
2085284.6259.2–303361352.3–363.7
2086281.9262.8–302.4360.4352.5–364.1
2087279.7258.8–302.8359.7347.8–363.8
2088282.3260.7–303.3360.3352.2–364.7
2089283.4262.4–300.5360.2352.3–363.8
2090283.9259.8–301.9360.2351.3–363.9
2091283.1260.4–304.8360.9351.6–364.1
2092281.6259.7–303.1360.7352.4–364.7
2093284.8265.8–305.4361.6354.1–363.9
2094284.6262.8–305.6361.3353.8–364.3
2095283.6262–304.6361.5353.2–364
2096284.9263.3–306.3361.1352.8–365.1
2097280261–300.5360.7351.9–364.2
2098282.5262–302.1361.5352.6–364.1
2099285.3266.2–305.4361.2352.4–364.1
2100283.6262.8–304.1361.1352.6–364.2

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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