Benin vs Mali

Benin vs Mali: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 83.7 nights, or 1.33 times that in Mali.

Watch it change on the map

nights a year · CMIP6

Benin vs Mali: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 83.7 nights, or 1.33 times that in Mali.
BeninMaliCMIP6 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 Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearBeninMali
2014333.9250.2
2013328.9247.3
2012332.6253.1
2011330.1251.9
2010329.8250.4
2009325.2248
2008326.4247.8
2007325.2248.1
2006326.1245.5
2005324.3244.3
2004322.7243.9
2003327.4247.1
2002324245.8
2001329.4245.6
2000322.4243.2
1999317.9242.4
1998319.1240.6
1997320.6240.7
1996315.5236.4
1995316.5238
1994314.3236.2
1993313.5235.1
1992309.8232
1991316.1238.7
1990320.6241
1989313.1236.3
1988313.6234.7
1987313.3236.1
1986317.1237.1
1985314.6235.3
1984311.8233
1983308.8231.2
1982309.3234.9
1981314.8233.9
1980310.2231.5
1979311.9233.8
1978310234.8
1977314.4233.6
1976309.1231.7
1975307.3232.4
1974307.9229.7
1973311.8230.3
1972310.1230.7
1971305.9229.5
1970309.7229.9
1969305.9227.3
1968305.6230.5
1967305.6229
1966305.4228.1
1965306.1230.2
1964304.6228.9
1963304.6228.2
1962311.6231.7
1961307.4231.6
1960312.1235.1
1959312.4231.8
1958306.8231.8
1957311.8233.3
1956308.2230.7
1955308.6230.6
1954311.3232
1953307.4228.3
1952305.5229.2
1951309.4231.4
1950304.7228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninMali
2015328.6309.6–343.6247.9231.5–264.7
2016330.8309.8–342.5248231.3–262.6
2017330311.6–342.9252.7233.6–268.2
2018331.2315.3–345.2254.2236.4–269
2019328.1308–346.4251.6233.5–272.3
2020330.1308.7–348.1251.3231.2–270.7
2021332.7314.3–347.2254.8238.5–270
2022334.9314.5–347.9257237.8–275.3
2023331.8310.2–346.4254.2239.6–269.2
2024340.3323.4–351.1259.3242.3–276.8
2025335315.9–346.3256.2239.2–272.3
2026335.9313.3–353.1256.8237.2–277.8
2027335.8315.2–349.1258.5240.3–273.1
2028340.1321.3–351.9259.7243.6–273.9
2029338.6323.1–350.8260.8240.3–275.3
2030339.7321.7–350258.1237.5–272.6
2031343.8323.3–354.6262.2243.4–280.6
2032340.8318.1–351.4260.5242.1–278.2
2033343.1320.1–354.4262.1241.7–280.3
2034339.8319.2–352.6260.7242–275.3
2035342.7322–354.2261.5244.8–283.6
2036341.8320.2–355.2262.5244.6–281.1
2037344324.8–353.5264.5245.2–279.6
2038346.6334.6–355.1266246.7–283.2
2039344.5327.1–355.1262.3245–281.6
2040346327.6–355.8263.6247.5–279.6
2041345.5331.9–357.4264.6250.8–283.1
2042343.9328.1–358.9265.7245.9–283.5
2043345.7326.6–355.4264.8246.9–278.8
2044347.3329.7–358.8269.3247.4–284.7
2045342.6328–358.9265.6248.9–283.7
2046347.9332.2–357.8269.8247.5–286.4
2047349.6330.6–358.7271.9251.2–290.3
2048349.8334.6–358.1270.4254.4–288.2
2049350.7333.4–359.3272252.1–288.2
2050351334–360.2269.5250.6–286.4
2051350338.1–359.9268.8251.7–286.9
2052348.6332.5–359.5270.1252.7–292.1
2053351.3331.1–359.3269.3249.2–288.8
2054353.3336.1–360.3270.3251.7–290.6
2055350.7336.5–359.7270.9252.7–288.1
2056353.4337.9–362273248.6–291.4
2057355339.4–361.3275.5255.2–295
2058352.5338–360.1271252.7–293.2
2059354.9338.8–361.9274.5259.3–299.6
2060353.2337.9–360.9273.5258–293.7
2061353.8331.6–362275.4257–298
2062353.5334.3–361.4270.8251.7–291.8
2063355.1335.9–361.9275.9256.6–292.2
2064353.9338–363.1276.4256.6–298.4
2065355.3343.1–362.4275.3256–295.1
2066352.4339.8–360.1276.9260–296.5
2067355.7336.9–362.9272.6255.4–293.3
2068357.5341.2–363.6277.5258.1–296.5
2069353.4339.4–362.3276.1257.7–293.3
2070354.4341–361.7277.2256.6–296.6
2071356.4338.9–362.8277.2258.4–295.6
2072357.8343.2–363.8281.9263.8–298.9
2073356.1339.2–362.4276.8257.9–296.8
2074355.1339–362.4277.7258.7–295.9
2075356.2344.1–363.5278.5260.1–298.5
2076357343.3–362.6278.1261.1–294.2
2077357.3343.8–363.1283.8263.1–302.3
2078357.9344.2–363.3283.8263.5–299.4
2079357.3347.1–362.8278.9259.2–300.6
2080358.9344.5–365.3281.2262.1–299.4
2081357.1341.4–363.9279.1259.3–301.8
2082357.1341.9–362.2280.2260.2–298.4
2083358.4346.7–363.4280.8260.8–302.3
2084357.9343.1–364.6280.4263.8–301
2085359.5346–364.2284.6259.2–303
2086359.2344.3–364.1281.9262.8–302.4
2087357.6343.8–364.2279.7258.8–302.8
2088358.5341.9–364.2282.3260.7–303.3
2089357.1346.7–363.7283.4262.4–300.5
2090359.7343.6–363.8283.9259.8–301.9
2091358.6342.2–364.1283.1260.4–304.8
2092359.3342.5–364.9281.6259.7–303.1
2093360.3348–364.4284.8265.8–305.4
2094359347.2–364.5284.6262.8–305.6
2095358.6345.9–364.3283.6262–304.6
2096359.2344.5–365.5284.9263.3–306.3
2097358.4343.3–363.8280261–300.5
2098358.2346.2–363.8282.5262–302.1
2099358344.6–363.9285.3266.2–305.4
2100359.6348.3–364.5283.6262.8–304.1

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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