Mali vs Senegal

Mali vs Senegal: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 51.9 nights, or 1.21 times that in Mali.

nights a year · CMIP6

Mali vs Senegal: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 51.9 nights, or 1.21 times that in Mali.
MaliSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal 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 Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearMaliSenegal
2014250.2302.1
2013247.3300.9
2012253.1304.1
2011251.9302.1
2010250.4301.5
2009248302.1
2008247.8298.3
2007248.1298.5
2006245.5298.6
2005244.3298.1
2004243.9294.7
2003247.1296.1
2002245.8296
2001245.6298.9
2000243.2295
1999242.4293.2
1998240.6292.5
1997240.7288.5
1996236.4285.1
1995238285.9
1994236.2283.7
1993235.1282
1992232277.6
1991238.7286.7
1990241292.5
1989236.3282.1
1988234.7282.4
1987236.1281.8
1986237.1283
1985235.3278.1
1984233274.6
1983231.2276.3
1982234.9281.3
1981233.9277.9
1980231.5277.6
1979233.8281
1978234.8280.7
1977233.6278
1976231.7274.4
1975232.4278.4
1974229.7273.8
1973230.3274.5
1972230.7273.5
1971229.5273.4
1970229.9271.3
1969227.3271.6
1968230.5272.6
1967229275.4
1966228.1273.3
1965230.2272.8
1964228.9271.8
1963228.2272.8
1962231.7280.2
1961231.6276.9
1960235.1279.2
1959231.8277.4
1958231.8278.8
1957233.3274.4
1956230.7273.2
1955230.6273.4
1954232275
1953228.3271.7
1952229.2271
1951231.4272.9
1950228.6270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliSenegal
2015247.9231.5–264.7298.9275.9–321
2016248231.3–262.6302.7276.5–319
2017252.7233.6–268.2302.9285.4–318.6
2018254.2236.4–269305.6289.2–321.5
2019251.6233.5–272.3307.6280.6–328.1
2020251.3231.2–270.7305.2276.2–322.9
2021254.8238.5–270307.6286–325.6
2022257237.8–275.3312.9289.6–334.3
2023254.2239.6–269.2307.5292.2–328.6
2024259.3242.3–276.8313.2294.6–326.9
2025256.2239.2–272.3311.8289–329.4
2026256.8237.2–277.8308.3285.2–328.6
2027258.5240.3–273.1310.7287.8–330
2028259.7243.6–273.9316.3289.2–331.6
2029260.8240.3–275.3315.7291.2–334.2
2030258.1237.5–272.6311.5289.1–329.1
2031262.2243.4–280.6318.8296.3–335
2032260.5242.1–278.2316295.7–332.4
2033262.1241.7–280.3316.7289.6–336.4
2034260.7242–275.3315.4291.6–335.1
2035261.5244.8–283.6316.8291.1–335.3
2036262.5244.6–281.1320.8298.5–335.3
2037264.5245.2–279.6324.5303.1–337.7
2038266246.7–283.2323.5304.2–339.7
2039262.3245–281.6323.3300.9–337
2040263.6247.5–279.6322.4298.9–339.5
2041264.6250.8–283.1320.2300.1–343.6
2042265.7245.9–283.5320302.1–339.9
2043264.8246.9–278.8320.4303.7–340.4
2044269.3247.4–284.7326.9301.5–340.9
2045265.6248.9–283.7324.1304.1–340
2046269.8247.5–286.4325.9304.7–340.6
2047271.9251.2–290.3329301.4–347
2048270.4254.4–288.2331.1314.3–344.8
2049272252.1–288.2331.3308.3–343.7
2050269.5250.6–286.4327.6306.5–341.9
2051268.8251.7–286.9328307.1–344
2052270.1252.7–292.1325.4308.1–344.2
2053269.3249.2–288.8331.8304.9–347.2
2054270.3251.7–290.6330.1310.8–345.2
2055270.9252.7–288.1330.1305.5–344
2056273248.6–291.4331.4307.4–349.8
2057275.5255.2–295337306.4–351.5
2058271252.7–293.2333313.2–350.2
2059274.5259.3–299.6334315.6–353.5
2060273.5258–293.7334.5316.4–351.1
2061275.4257–298333.7307.5–352.9
2062270.8251.7–291.8333.3312.4–350.2
2063275.9256.6–292.2335.4313.2–352.8
2064276.4256.6–298.4335.4307.1–351.1
2065275.3256–295.1334.8314.1–352.8
2066276.9260–296.5337.3312.9–351
2067272.6255.4–293.3335.5309.9–349.9
2068277.5258.1–296.5335.5313.5–354
2069276.1257.7–293.3336.1316.9–351.8
2070277.2256.6–296.6333.3312.9–352.9
2071277.2258.4–295.6335.7321.1–351.9
2072281.9263.8–298.9342.3321–354.6
2073276.8257.9–296.8339.4320.1–356.1
2074277.7258.7–295.9335.9317.1–351.8
2075278.5260.1–298.5338.4320.7–354.1
2076278.1261.1–294.2338.7321.9–352
2077283.8263.1–302.3342.8314.8–357.3
2078283.8263.5–299.4343325.8–355.4
2079278.9259.2–300.6341.2322.3–357.6
2080281.2262.1–299.4340.9317.7–358.1
2081279.1259.3–301.8339.8315.5–357.1
2082280.2260.2–298.4341.6316.4–354.9
2083280.8260.8–302.3340.8324.8–356.9
2084280.4263.8–301340.4322.8–354.9
2085284.6259.2–303346.8325.6–357
2086281.9262.8–302.4341.7324.4–357.6
2087279.7258.8–302.8343.9325.9–357.7
2088282.3260.7–303.3341.5321.6–358.2
2089283.4262.4–300.5343.2324.3–355.2
2090283.9259.8–301.9342320.6–356
2091283.1260.4–304.8341.7319.8–356.4
2092281.6259.7–303.1339.7318.4–357.7
2093284.8265.8–305.4345326.8–356.4
2094284.6262.8–305.6344.4324.3–357.6
2095283.6262–304.6346.3320.6–359.4
2096284.9263.3–306.3344.4323.1–359.2
2097280261–300.5341.4321.3–353.8
2098282.5262–302.1345322.3–357
2099285.3266.2–305.4344.6322.7–357.5
2100283.6262.8–304.1347.3323.6–359.2

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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