Mali vs Sudan

Mali vs Sudan: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 7.8 nights, or 1.03 times that in Sudan.

nights a year · CMIP6

Mali vs Sudan: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 7.8 nights, or 1.03 times that in Sudan.
MaliSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearMaliSudan
2014250.2242.4
2013247.3240
2012253.1242
2011251.9242.2
2010250.4240.6
2009248236.5
2008247.8237.1
2007248.1236
2006245.5235.3
2005244.3233.1
2004243.9233.5
2003247.1235.6
2002245.8234.7
2001245.6235.4
2000243.2230.5
1999242.4232.1
1998240.6230.2
1997240.7231.1
1996236.4227.3
1995238227.8
1994236.2225.3
1993235.1219.1
1992232217.8
1991238.7227.3
1990241227.5
1989236.3223
1988234.7223.1
1987236.1224.4
1986237.1226.4
1985235.3222.1
1984233220.7
1983231.2217
1982234.9216.3
1981233.9223.2
1980231.5220
1979233.8218.4
1978234.8218.5
1977233.6219.3
1976231.7220.1
1975232.4215.7
1974229.7217.5
1973230.3220
1972230.7217.9
1971229.5215.5
1970229.9217
1969227.3213.1
1968230.5214
1967229210.3
1966228.1213.3
1965230.2213.4
1964228.9213.2
1963228.2210.1
1962231.7217
1961231.6216.9
1960235.1221.3
1959231.8217.8
1958231.8216.2
1957233.3218.9
1956230.7217.2
1955230.6216.6
1954232218.9
1953228.3215.1
1952229.2216.4
1951231.4218.5
1950228.6214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliSudan
2015247.9231.5–264.7242.3225.3–258.3
2016248231.3–262.6241.4223.3–254.1
2017252.7233.6–268.2243.2223–259.1
2018254.2236.4–269242.3226.4–258.5
2019251.6233.5–272.3243.1221.7–260.4
2020251.3231.2–270.7244.9225.9–261.7
2021254.8238.5–270245.6229.1–261.5
2022257237.8–275.3249230.9–262.3
2023254.2239.6–269.2247.1226.8–263.1
2024259.3242.3–276.8251.5232.8–266.1
2025256.2239.2–272.3250.7232.4–265.6
2026256.8237.2–277.8250230.8–266.6
2027258.5240.3–273.1248.8228.4–265.6
2028259.7243.6–273.9249232.2–263.1
2029260.8240.3–275.3251.4232.1–266
2030258.1237.5–272.6252235.4–266.7
2031262.2243.4–280.6253.3234.4–268.9
2032260.5242.1–278.2250.4232.3–266.6
2033262.1241.7–280.3254.4235.3–269.4
2034260.7242–275.3254.2234.5–269.9
2035261.5244.8–283.6258.3240.2–273.6
2036262.5244.6–281.1252.8235.6–268.6
2037264.5245.2–279.6256.7238.6–271.8
2038266246.7–283.2258.7244.8–272.1
2039262.3245–281.6259.5241.2–272.5
2040263.6247.5–279.6256.4236.7–272.3
2041264.6250.8–283.1259.1241.2–274.5
2042265.7245.9–283.5258.7242–274.7
2043264.8246.9–278.8258.1240.3–272.6
2044269.3247.4–284.7257.3238.6–274.7
2045265.6248.9–283.7258.8243.1–276.2
2046269.8247.5–286.4261.1241.7–277.6
2047271.9251.2–290.3261.4244.6–278.4
2048270.4254.4–288.2260.4243.4–279.5
2049272252.1–288.2261.9242.6–275.9
2050269.5250.6–286.4263.5245.4–279
2051268.8251.7–286.9263.6246.6–278.8
2052270.1252.7–292.1263.8248.7–278.3
2053269.3249.2–288.8262.8242.4–279.2
2054270.3251.7–290.6266.3246.6–282.9
2055270.9252.7–288.1265.6245.9–281.4
2056273248.6–291.4264.1242.6–281.5
2057275.5255.2–295266.4247.6–283.4
2058271252.7–293.2265.2247.4–280.3
2059274.5259.3–299.6268.4249.6–285.4
2060273.5258–293.7263.6246.7–284.4
2061275.4257–298266.9250.1–281.9
2062270.8251.7–291.8266.4248.5–285
2063275.9256.6–292.2267.1246.9–283.4
2064276.4256.6–298.4269250.7–284.7
2065275.3256–295.1269.8253.9–285.6
2066276.9260–296.5271.4251.9–287.3
2067272.6255.4–293.3270.9250–288.4
2068277.5258.1–296.5271.9251.7–289.8
2069276.1257.7–293.3268251.1–286.2
2070277.2256.6–296.6269252.3–285.8
2071277.2258.4–295.6275.5254.1–290.4
2072281.9263.8–298.9273.3254.2–289.4
2073276.8257.9–296.8271.9250.7–287.6
2074277.7258.7–295.9270.9249–290.1
2075278.5260.1–298.5273.1254–291.9
2076278.1261.1–294.2272.7255.2–290.9
2077283.8263.1–302.3274.6255.2–292.7
2078283.8263.5–299.4274.3255.6–291.2
2079278.9259.2–300.6272255.2–288.5
2080281.2262.1–299.4276.6256–292.2
2081279.1259.3–301.8275.1254.1–294.8
2082280.2260.2–298.4272.9258.7–288.6
2083280.8260.8–302.3276.5258–291.7
2084280.4263.8–301275.4253–294.9
2085284.6259.2–303275.3258.6–291.6
2086281.9262.8–302.4276.4256.9–296.6
2087279.7258.8–302.8273.5253.1–293.3
2088282.3260.7–303.3273.6253.7–293.6
2089283.4262.4–300.5276.5256.6–293.4
2090283.9259.8–301.9276.6256.4–294.6
2091283.1260.4–304.8277.4256.4–296.6
2092281.6259.7–303.1274.6254.3–294.9
2093284.8265.8–305.4278261.9–292.1
2094284.6262.8–305.6280.3262.2–294
2095283.6262–304.6277.5262.6–294
2096284.9263.3–306.3279.7258.7–297
2097280261–300.5276.3254.1–297.6
2098282.5262–302.1277.7258.2–295.5
2099285.3266.2–305.4276.8257.2–296.2
2100283.6262.8–304.1278.6259–294.3

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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