Algeria vs Mali

Algeria vs Mali: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 102.4 nights, or 1.69 times that in Algeria.

Watch it change on the map

nights a year · CMIP6

Algeria vs Mali: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 102.4 nights, or 1.69 times that in Algeria.
AlgeriaMaliCMIP6 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 Algeria at 177.5 nights and Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaMali
2014147.8250.2
2013149.2247.3
2012149.1253.1
2011149.8251.9
2010148.7250.4
2009146.5248
2008148.3247.8
2007146.6248.1
2006146.4245.5
2005145.5244.3
2004146243.9
2003145247.1
2002144.9245.8
2001144.7245.6
2000144243.2
1999141.4242.4
1998142.2240.6
1997141.4240.7
1996139.6236.4
1995137.5238
1994138236.2
1993135.3235.1
1992131.6232
1991138.7238.7
1990141.6241
1989137.6236.3
1988137.3234.7
1987136.4236.1
1986136.2237.1
1985133.4235.3
1984135.2233
1983133.9231.2
1982136.5234.9
1981134.7233.9
1980133.5231.5
1979135233.8
1978134.8234.8
1977133.3233.6
1976133.8231.7
1975134232.4
1974130229.7
1973133.8230.3
1972133.3230.7
1971130.8229.5
1970128.7229.9
1969131.5227.3
1968131.3230.5
1967131229
1966131228.1
1965127.2230.2
1964131.7228.9
1963131228.2
1962132.6231.7
1961132.4231.6
1960134.4235.1
1959134.3231.8
1958133.8231.8
1957134.6233.3
1956132.8230.7
1955133.2230.6
1954130.2232
1953130.1228.3
1952132.8229.2
1951133.7231.4
1950131.7228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaMali
2015149.7136.5–163.3247.9231.5–264.7
2016148.4136.2–163.8248231.3–262.6
2017155139.3–169.4252.7233.6–268.2
2018154.4138.5–167.4254.2236.4–269
2019153.9139.9–167.9251.6233.5–272.3
2020152.8138.9–166.4251.3231.2–270.7
2021156.2142.9–168.2254.8238.5–270
2022157.3142.1–173.6257237.8–275.3
2023153.8139.7–166.7254.2239.6–269.2
2024157.2145.1–170.4259.3242.3–276.8
2025156142.2–170256.2239.2–272.3
2026158145.8–170.5256.8237.2–277.8
2027157.9144.9–172258.5240.3–273.1
2028159.1145.3–170.6259.7243.6–273.9
2029158.6145.9–171260.8240.3–275.3
2030157.3142.8–169.1258.1237.5–272.6
2031158.9145.5–174.1262.2243.4–280.6
2032162.1151.7–174.9260.5242.1–278.2
2033161.3144.7–173.9262.1241.7–280.3
2034161.5145.2–176.1260.7242–275.3
2035162.6149.6–177.8261.5244.8–283.6
2036161.7149.4–175.3262.5244.6–281.1
2037161.9147.5–176.4264.5245.2–279.6
2038164148–178266246.7–283.2
2039163.4147.7–179.3262.3245–281.6
2040163.8149.7–179263.6247.5–279.6
2041162.1147.9–175.2264.6250.8–283.1
2042165.2151.6–180.4265.7245.9–283.5
2043163.7150.7–174.1264.8246.9–278.8
2044164.1150.7–177.7269.3247.4–284.7
2045166.3153.8–177.7265.6248.9–283.7
2046165.5151.5–178.8269.8247.5–286.4
2047166.9151.1–182.8271.9251.2–290.3
2048166.9154.5–180.8270.4254.4–288.2
2049166.2153.1–178.7272252.1–288.2
2050168.1152.8–180.9269.5250.6–286.4
2051166.4152.8–181.4268.8251.7–286.9
2052167.9155.5–185.3270.1252.7–292.1
2053167.8153.5–183269.3249.2–288.8
2054169.9154.7–184.1270.3251.7–290.6
2055171.2156.6–185270.9252.7–288.1
2056169.6154.7–185273248.6–291.4
2057169.5154.9–186.3275.5255.2–295
2058168.8154.9–187.6271252.7–293.2
2059171157–188.4274.5259.3–299.6
2060171.7156.6–186.7273.5258–293.7
2061174160.5–186.9275.4257–298
2062170154.4–189.1270.8251.7–291.8
2063173.1158.9–187.6275.9256.6–292.2
2064171.3156.5–187.5276.4256.6–298.4
2065172.4158.1–185.8275.3256–295.1
2066172.7157.8–189.5276.9260–296.5
2067173.3158.5–188272.6255.4–293.3
2068174.6157.3–191.3277.5258.1–296.5
2069174.7158.7–188.1276.1257.7–293.3
2070173.3159.4–186.8277.2256.6–296.6
2071173.9159.5–192.1277.2258.4–295.6
2072176.4160–191281.9263.8–298.9
2073175.3160.4–192.4276.8257.9–296.8
2074176.7157.1–191.8277.7258.7–295.9
2075174.3158.7–193.2278.5260.1–298.5
2076176.3161.3–192.1278.1261.1–294.2
2077175.9160.3–194283.8263.1–302.3
2078180164.9–191.9283.8263.5–299.4
2079178157.2–194.5278.9259.2–300.6
2080178160.3–192.5281.2262.1–299.4
2081175.3161.2–192.8279.1259.3–301.8
2082177.2160.2–192.3280.2260.2–298.4
2083178.5161.1–195.6280.8260.8–302.3
2084180.1164.6–192.9280.4263.8–301
2085179.6159.9–197.5284.6259.2–303
2086179.8163.9–196.8281.9262.8–302.4
2087179160.6–195.3279.7258.8–302.8
2088179.3163.3–198.8282.3260.7–303.3
2089178.9163.6–197.4283.4262.4–300.5
2090180.5161.9–196.8283.9259.8–301.9
2091179.6164.9–197.5283.1260.4–304.8
2092181.6164.7–195.6281.6259.7–303.1
2093181.1162.6–199.4284.8265.8–305.4
2094180.6164.4–193.7284.6262.8–305.6
2095181.1164.5–195.8283.6262–304.6
2096180.7165.8–199.4284.9263.3–306.3
2097178.3162.2–193.1280261–300.5
2098180.4164.5–198.3282.5262–302.1
2099182165.3–199.3285.3266.2–305.4
2100177.5163.3–199.1283.6262.8–304.1

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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