Mali vs Nigeria

Mali vs Nigeria: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 53.7 nights, or 1.21 times that in Mali.

nights a year · CMIP6

Mali vs Nigeria: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 53.7 nights, or 1.21 times that in Mali.
MaliNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearMaliNigeria
2014250.2303.9
2013247.3299.5
2012253.1304.4
2011251.9301.5
2010250.4301.4
2009248297.8
2008247.8297.4
2007248.1298
2006245.5297.2
2005244.3295.4
2004243.9294.1
2003247.1298.4
2002245.8295.2
2001245.6299.1
2000243.2293.9
1999242.4290.3
1998240.6289.9
1997240.7292.5
1996236.4290
1995238289.1
1994236.2287.4
1993235.1284
1992232281.6
1991238.7289.1
1990241290.6
1989236.3287.2
1988234.7288
1987236.1285.6
1986237.1289.1
1985235.3284.2
1984233284.4
1983231.2281.9
1982234.9283.5
1981233.9286.4
1980231.5282.8
1979233.8283
1978234.8282.8
1977233.6285.9
1976231.7281.7
1975232.4280.4
1974229.7280.7
1973230.3284.3
1972230.7284.1
1971229.5279.3
1970229.9282
1969227.3278.7
1968230.5279.6
1967229278.1
1966228.1279.4
1965230.2279
1964228.9276.8
1963228.2275.1
1962231.7284.1
1961231.6281.9
1960235.1285.9
1959231.8282.8
1958231.8281.4
1957233.3283.3
1956230.7280.8
1955230.6280.4
1954232284.1
1953228.3280.4
1952229.2280.8
1951231.4284.2
1950228.6279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliNigeria
2015247.9231.5–264.7301.7282.9–317.3
2016248231.3–262.6301.4280.8–312.5
2017252.7233.6–268.2302.5284.3–316.3
2018254.2236.4–269302.2286.8–316.5
2019251.6233.5–272.3300.1281.2–318
2020251.3231.2–270.7303283.7–318.5
2021254.8238.5–270305.1287.1–318.4
2022257237.8–275.3305.1286–319.5
2023254.2239.6–269.2305286.4–318.9
2024259.3242.3–276.8310.6295.1–321.5
2025256.2239.2–272.3307.5292–319.4
2026256.8237.2–277.8306.9286.1–322.9
2027258.5240.3–273.1307.4288–321.7
2028259.7243.6–273.9310.7293.4–322.6
2029260.8240.3–275.3311.4293.3–324.4
2030258.1237.5–272.6310.6294.1–322.5
2031262.2243.4–280.6312.2295–324.8
2032260.5242.1–278.2310290–323.5
2033262.1241.7–280.3313292.9–327
2034260.7242–275.3311.7294.8–325.1
2035261.5244.8–283.6314.5296.7–327.7
2036262.5244.6–281.1313.5294.1–326.5
2037264.5245.2–279.6315.6297.9–327.1
2038266246.7–283.2316.9301.2–329.6
2039262.3245–281.6315.4299.4–328.2
2040263.6247.5–279.6315.6297.9–327.4
2041264.6250.8–283.1316.8300.6–330.2
2042265.7245.9–283.5316.3300.3–330.3
2043264.8246.9–278.8316298.4–326
2044269.3247.4–284.7317.9299.5–329.6
2045265.6248.9–283.7316.6300.5–330.4
2046269.8247.5–286.4317.8302.2–330.7
2047271.9251.2–290.3319.8301.5–333
2048270.4254.4–288.2320.1302.4–331.7
2049272252.1–288.2320.7305.3–331.7
2050269.5250.6–286.4320.9304–335
2051268.8251.7–286.9321304.1–334.2
2052270.1252.7–292.1320.9303.9–333.5
2053269.3249.2–288.8320.9303.3–334.1
2054270.3251.7–290.6324.5304.5–338.2
2055270.9252.7–288.1322.2308.4–333.7
2056273248.6–291.4324.8305.8–336.3
2057275.5255.2–295326310.8–337.3
2058271252.7–293.2322.9307.4–334.2
2059274.5259.3–299.6325.7308.9–339
2060273.5258–293.7323.8307.5–337
2061275.4257–298324.4307.1–338.2
2062270.8251.7–291.8325.7308–339.3
2063275.9256.6–292.2326.6308.7–337
2064276.4256.6–298.4326.2311–339.8
2065275.3256–295.1327.6313.5–339.4
2066276.9260–296.5328.4311.3–339.6
2067272.6255.4–293.3326308.4–340.5
2068277.5258.1–296.5329.3311.2–342.9
2069276.1257.7–293.3326.6309.9–338.1
2070277.2256.6–296.6327.4312.6–340.7
2071277.2258.4–295.6329.1313–341.1
2072281.9263.8–298.9330.3315.9–342.1
2073276.8257.9–296.8326.3309.5–341
2074277.7258.7–295.9326.7311.4–341.4
2075278.5260.1–298.5328.9314.5–341.8
2076278.1261.1–294.2329.6313.4–342
2077283.8263.1–302.3332.5314.4–343.3
2078283.8263.5–299.4329.8312.8–342.1
2079278.9259.2–300.6329.6313.8–340.6
2080281.2262.1–299.4331.7314.1–344.8
2081279.1259.3–301.8329.3311.6–343.7
2082280.2260.2–298.4329.3313.3–341.4
2083280.8260.8–302.3330.4315–342.2
2084280.4263.8–301330.5311.9–344.2
2085284.6259.2–303332.7316.6–343.6
2086281.9262.8–302.4331.9316.3–343.6
2087279.7258.8–302.8330.7314.9–342.4
2088282.3260.7–303.3331.7313.2–342.7
2089283.4262.4–300.5331.1318.3–341.9
2090283.9259.8–301.9332.4312.7–343.9
2091283.1260.4–304.8333.3311–345.8
2092281.6259.7–303.1332.7313.8–345.7
2093284.8265.8–305.4334.2318.6–344.9
2094284.6262.8–305.6334.2317.3–345.6
2095283.6262–304.6333.8319.3–346.3
2096284.9263.3–306.3332.5317.4–346.7
2097280261–300.5331.8312.6–344.6
2098282.5262–302.1332.3316–343.7
2099285.3266.2–305.4333316.9–344.2
2100283.6262.8–304.1332.3318.5–345

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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