Chad vs Mali

Chad vs Mali: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 12.6 nights, or 1.05 times that in Chad.

nights a year · CMIP6

Chad vs Mali: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 12.6 nights, or 1.05 times that in Chad.
ChadMaliCMIP6 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 Chad at 273.4 nights and Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearChadMali
2014237.6250.2
2013231.8247.3
2012237.9253.1
2011236.2251.9
2010234.8250.4
2009231.5248
2008230.8247.8
2007229.6248.1
2006229.5245.5
2005228.8244.3
2004228243.9
2003230.9247.1
2002229.8245.8
2001230.2245.6
2000226.4243.2
1999225.1242.4
1998222.9240.6
1997226.3240.7
1996222.4236.4
1995222.3238
1994221.4236.2
1993215.6235.1
1992214.4232
1991223238.7
1990222.8241
1989220236.3
1988219.9234.7
1987218.4236.1
1986222.6237.1
1985218235.3
1984216.1233
1983213.7231.2
1982214.8234.9
1981218.1233.9
1980215231.5
1979214.5233.8
1978216234.8
1977216.2233.6
1976215.7231.7
1975212.2232.4
1974213.8229.7
1973216.9230.3
1972215.2230.7
1971212.6229.5
1970214.3229.9
1969210.3227.3
1968212.8230.5
1967209.1229
1966210.8228.1
1965210.3230.2
1964210.6228.9
1963207.5228.2
1962214.7231.7
1961212.3231.6
1960217.3235.1
1959212.5231.8
1958213.8231.8
1957214233.3
1956213.4230.7
1955213.8230.6
1954214.3232
1953211.3228.3
1952213.1229.2
1951213.8231.4
1950213.1228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadMali
2015235.8215.6–253.1247.9231.5–264.7
2016233.3212.8–247.7248231.3–262.6
2017237.6218.6–253.1252.7233.6–268.2
2018235.8217.8–254.4254.2236.4–269
2019235.2213.3–255.6251.6233.5–272.3
2020237217.1–255251.3231.2–270.7
2021239.6220–258.2254.8238.5–270
2022240.4223.1–258.2257237.8–275.3
2023239.1216.7–256.4254.2239.6–269.2
2024246.7227.6–261.2259.3242.3–276.8
2025243.2223.9–259.4256.2239.2–272.3
2026242.9220.8–260.9256.8237.2–277.8
2027242.3221.2–258.6258.5240.3–273.1
2028242.7225.4–259.7259.7243.6–273.9
2029246.3227.2–264.1260.8240.3–275.3
2030244.7225.8–261.1258.1237.5–272.6
2031246.8224.7–264.8262.2243.4–280.6
2032244.3226.5–260.2260.5242.1–278.2
2033247.6228.7–266.1262.1241.7–280.3
2034247.8224.9–263.9260.7242–275.3
2035250.9230.3–268.9261.5244.8–283.6
2036246.7226.3–264.1262.5244.6–281.1
2037249.9230.3–266.2264.5245.2–279.6
2038252.4233.4–268.7266246.7–283.2
2039250230.8–267.5262.3245–281.6
2040248.9227–266.8263.6247.5–279.6
2041252230–270.9264.6250.8–283.1
2042250.4232–271.8265.7245.9–283.5
2043251.1232–265.5264.8246.9–278.8
2044251.4230.2–271.3269.3247.4–284.7
2045252.3230.8–270.2265.6248.9–283.7
2046253.6231.9–272.3269.8247.5–286.4
2047254.6236.7–274.4271.9251.2–290.3
2048254.4236.6–273.6270.4254.4–288.2
2049256235.4–272272252.1–288.2
2050255.9234.4–276.1269.5250.6–286.4
2051256.1237.8–275.9268.8251.7–286.9
2052258.3237.1–273.9270.1252.7–292.1
2053255.9234.9–275269.3249.2–288.8
2054260.6233–279.6270.3251.7–290.6
2055259.9239.1–276.6270.9252.7–288.1
2056259.4233.3–279273248.6–291.4
2057262.5240.8–278.4275.5255.2–295
2058259.3239.2–275.5271252.7–293.2
2059263.7240.5–282.9274.5259.3–299.6
2060259.3239.3–280273.5258–293.7
2061261.1240.7–281.2275.4257–298
2062261.4238.1–281.4270.8251.7–291.8
2063263.4239.6–278.6275.9256.6–292.2
2064263.9244.3–283.2276.4256.6–298.4
2065263.7247.7–283.1275.3256–295.1
2066265.2245.7–285.6276.9260–296.5
2067262.5242.8–283.8272.6255.4–293.3
2068266.8241.4–286.3277.5258.1–296.5
2069262.7242.8–283.1276.1257.7–293.3
2070264.9243.5–284.9277.2256.6–296.6
2071267.9248.5–286277.2258.4–295.6
2072269.2246.8–285.6281.9263.8–298.9
2073263.7241.6–284.2276.8257.9–296.8
2074264239.7–285.1277.7258.7–295.9
2075266.5246.7–287278.5260.1–298.5
2076267.8245.8–285.7278.1261.1–294.2
2077269.5247.1–290.8283.8263.1–302.3
2078268.6247.9–286.4283.8263.5–299.4
2079266.4247.9–286.3278.9259.2–300.6
2080269.4249.6–289.4281.2262.1–299.4
2081267.4247.1–291.8279.1259.3–301.8
2082266.7249.2–286.8280.2260.2–298.4
2083269.8248.9–287.6280.8260.8–302.3
2084268.4243.4–289.7280.4263.8–301
2085270.8251.2–287.4284.6259.2–303
2086270.6249.6–291.5281.9262.8–302.4
2087266.3246.2–289.2279.7258.8–302.8
2088269.2245.6–290.7282.3260.7–303.3
2089270.4251.1–289283.4262.4–300.5
2090270.9245.5–291.1283.9259.8–301.9
2091271.3246.1–293.5283.1260.4–304.8
2092270.6248.3–291.9281.6259.7–303.1
2093272.4254.3–289.2284.8265.8–305.4
2094274254.8–290.2284.6262.8–305.6
2095273.5251.8–291.6283.6262–304.6
2096273.9252.1–292.5284.9263.3–306.3
2097270.8246–292.1280261–300.5
2098271.1248.3–290.6282.5262–302.1
2099271.8250.5–291.1285.3266.2–305.4
2100273.4254–291.9283.6262.8–304.1

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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