Mali vs Zambia

Mali vs Zambia: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 187.3 nights, or 3.98 times that in Zambia.

nights a year · CMIP6

Mali vs Zambia: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 187.3 nights, or 3.98 times that in Zambia.
MaliZambiaCMIP6 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 Mali at 283.6 nights and Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearMaliZambia
2014250.262.9
2013247.364.7
2012253.163.9
2011251.961.5
2010250.459.3
200924857.5
2008247.856
2007248.155.1
2006245.555.9
2005244.354.5
2004243.958.4
2003247.156.6
2002245.855
2001245.659
2000243.252.9
1999242.448
1998240.651.3
1997240.747.8
1996236.443.5
199523843.9
1994236.241.6
1993235.135.3
199223236
1991238.742.7
199024146.4
1989236.345
1988234.743.6
1987236.144
1986237.143.8
1985235.338.7
198423338.7
1983231.238.8
1982234.940
1981233.941.7
1980231.539.7
1979233.840.7
1978234.838.9
1977233.640
1976231.735.7
1975232.437.1
1974229.737.4
1973230.338.8
1972230.735
1971229.536
1970229.938.1
1969227.337.1
1968230.534.1
196722932.2
1966228.133.1
1965230.234.9
1964228.931.3
1963228.230.5
1962231.738.8
1961231.637
1960235.139.3
1959231.838.3
1958231.839
1957233.337.8
1956230.734.6
1955230.638.2
195423238
1953228.335.4
1952229.237.6
1951231.436.9
1950228.636
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliZambia
2015247.9231.5–264.772.150.1–93.9
2016248231.3–262.666.845.9–85.7
2017252.7233.6–268.271.449.7–92.5
2018254.2236.4–26973.852.7–94.8
2019251.6233.5–272.373.354–97.6
2020251.3231.2–270.777.556.9–100.4
2021254.8238.5–27076.755.7–104.5
2022257237.8–275.384.861.6–109.7
2023254.2239.6–269.284.763–108
2024259.3242.3–276.885.158.2–113.9
2025256.2239.2–272.384.957.1–116
2026256.8237.2–277.883.658.4–119.4
2027258.5240.3–273.189.562.5–115.7
2028259.7243.6–273.989.965–118.6
2029260.8240.3–275.39669.8–122.8
2030258.1237.5–272.69166.7–118.1
2031262.2243.4–280.697.668.2–121.3
2032260.5242.1–278.294.970.3–122.2
2033262.1241.7–280.398.270.1–123.6
2034260.7242–275.397.370.4–135.2
2035261.5244.8–283.6104.168.4–137.8
2036262.5244.6–281.199.568.7–131.5
2037264.5245.2–279.6107.177.4–139.8
2038266246.7–283.2110.383.2–138.8
2039262.3245–281.6101.874.3–139.1
2040263.6247.5–279.6100.872.5–145.3
2041264.6250.8–283.1113.978.7–147.6
2042265.7245.9–283.5111.379.1–155.1
2043264.8246.9–278.8106.678.3–150.6
2044269.3247.4–284.7110.574.3–145.5
2045265.6248.9–283.7109.882.2–148.2
2046269.8247.5–286.4119.485.9–160
2047271.9251.2–290.3123.191.1–159.4
2048270.4254.4–288.2124.590.6–160.2
2049272252.1–288.2124.586.1–167.1
2050269.5250.6–286.4130.592–166
2051268.8251.7–286.9128.498.1–169.8
2052270.1252.7–292.1130.798.6–170.4
2053269.3249.2–288.8128.488–168.8
2054270.3251.7–290.6132.193–169.6
2055270.9252.7–288.1132.1100.1–176.1
2056273248.6–291.4132.492.7–179.6
2057275.5255.2–295133.298.5–178.5
2058271252.7–293.2137.299.2–179.7
2059274.5259.3–299.6139.8105.8–189.5
2060273.5258–293.7145.4102.9–191
2061275.4257–298136.692.8–196.9
2062270.8251.7–291.8143.9101–194.7
2063275.9256.6–292.2144.5101.7–187.8
2064276.4256.6–298.4147.998.4–180.9
2065275.3256–295.1148.6104.3–199.8
2066276.9260–296.5152.1109.4–193.6
2067272.6255.4–293.3140.6103.2–195.7
2068277.5258.1–296.5150.8105.7–200.3
2069276.1257.7–293.3150.5106.3–197
2070277.2256.6–296.6145.8104.7–202.4
2071277.2258.4–295.6153.1112.7–212
2072281.9263.8–298.9157.2120–195.7
2073276.8257.9–296.8161.5115.2–210.9
2074277.7258.7–295.9149.2115–198.7
2075278.5260.1–298.5148.2111.5–202.2
2076278.1261.1–294.2150.4112–201.9
2077283.8263.1–302.3156.5120.3–208.3
2078283.8263.5–299.4157.2122.2–209.5
2079278.9259.2–300.6156.8118.1–207.3
2080281.2262.1–299.4159.8116–211.9
2081279.1259.3–301.8160.2117.1–208.6
2082280.2260.2–298.4159.6119.6–200.6
2083280.8260.8–302.3159.5110.7–219.9
2084280.4263.8–301166124.3–210.3
2085284.6259.2–303172.9126.8–221.1
2086281.9262.8–302.4161.9120.6–224.1
2087279.7258.8–302.8158.3129.2–219.6
2088282.3260.7–303.3168.4123.9–218.5
2089283.4262.4–300.5168.5129.9–217.9
2090283.9259.8–301.9165.7124–223.8
2091283.1260.4–304.8177.4129.5–227.2
2092281.6259.7–303.1170.6127.8–221.5
2093284.8265.8–305.4173.6123.6–223.3
2094284.6262.8–305.6171.4130.3–220.7
2095283.6262–304.6179131.6–228.6
2096284.9263.3–306.3170.8124.8–233.3
2097280261–300.5167.2122.2–224.3
2098282.5262–302.1172.5131.9–226.9
2099285.3266.2–305.4171.7126.5–229.1
2100283.6262.8–304.1171.5124.3–228

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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