Mali vs Uganda

Mali vs Uganda: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 125.5 nights, or 2.01 times that in Uganda.

nights a year · CMIP6

Mali vs Uganda: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 125.5 nights, or 2.01 times that in Uganda.
MaliUgandaCMIP6 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearMaliUganda
2014250.2124.7
2013247.3124
2012253.1122.2
2011251.9125.7
2010250.4122.5
2009248114.8
2008247.8114.1
2007248.1111.2
2006245.5117.4
2005244.3113.8
2004243.9114.6
2003247.1114.4
2002245.8114.4
2001245.6117.1
2000243.2109
1999242.4105.5
1998240.6105
1997240.7106.1
1996236.4102.1
199523899.9
1994236.294.6
1993235.190.8
199223289.9
1991238.7102.1
1990241103.8
1989236.399.1
1988234.798.6
1987236.198.3
1986237.199.2
1985235.392.1
198423394.6
1983231.290.4
1982234.994.4
1981233.998.5
1980231.596.3
1979233.893.9
1978234.891
1977233.695.1
1976231.792
1975232.489.6
1974229.791.8
1973230.392.8
1972230.790
1971229.587.1
1970229.988.8
1969227.388
1968230.587.3
196722982.3
1966228.182.5
1965230.282.2
1964228.978.2
1963228.280.3
1962231.788.5
1961231.690.7
1960235.193.2
1959231.891.3
1958231.888.7
1957233.390.1
1956230.788.8
1955230.689
195423289.5
1953228.389
1952229.289.6
1951231.491.1
1950228.687.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliUganda
2015247.9231.5–264.7131.598.6–164.1
2016248231.3–262.612398.5–154.1
2017252.7233.6–268.2133.7108.6–162.7
2018254.2236.4–269134.2102.5–164
2019251.6233.5–272.3131.3104.8–166.2
2020251.3231.2–270.7140.7102.6–171.5
2021254.8238.5–270137.9112.9–175.4
2022257237.8–275.3140116.2–169.9
2023254.2239.6–269.2140.4114.2–184.8
2024259.3242.3–276.8151.1113.5–186.7
2025256.2239.2–272.3143108.5–176.4
2026256.8237.2–277.8144.6109.7–179.6
2027258.5240.3–273.1147.6116–175.4
2028259.7243.6–273.9151.6120.2–179.6
2029260.8240.3–275.3155.2127.3–178.6
2030258.1237.5–272.6150.4117.6–185.1
2031262.2243.4–280.6161.6132–187.2
2032260.5242.1–278.2159.1134.2–190.5
2033262.1241.7–280.3158.9123.4–200.6
2034260.7242–275.3161.5135.6–202.5
2035261.5244.8–283.6164.9126.3–193
2036262.5244.6–281.1158.5127.7–195.4
2037264.5245.2–279.6168.3138.2–207.3
2038266246.7–283.2173.8139.7–206.2
2039262.3245–281.6171.2130.1–205
2040263.6247.5–279.6170.4134.1–207.4
2041264.6250.8–283.1176.3144.6–208
2042265.7245.9–283.5175137.8–214.3
2043264.8246.9–278.8173.6132.8–207.6
2044269.3247.4–284.7176.1136.8–206.9
2045265.6248.9–283.7178.9138.3–217.7
2046269.8247.5–286.4191.9136.6–235
2047271.9251.2–290.3187.7156.6–225.3
2048270.4254.4–288.2189.3151.5–227.4
2049272252.1–288.2195.1154.9–233.6
2050269.5250.6–286.4191150.7–236.4
2051268.8251.7–286.9191.2154.4–228.2
2052270.1252.7–292.1192.6157.7–231.7
2053269.3249.2–288.8194.5149.7–233.5
2054270.3251.7–290.6199156.3–236.8
2055270.9252.7–288.1201.3151.7–240.7
2056273248.6–291.4198.9156.9–240.2
2057275.5255.2–295200165.5–244.7
2058271252.7–293.2208.8156.5–248.3
2059274.5259.3–299.6212.7171.1–254
2060273.5258–293.7212.6160.3–253.1
2061275.4257–298208.9162.4–258.1
2062270.8251.7–291.8206.4159.1–267.6
2063275.9256.6–292.2209.3168.5–246.3
2064276.4256.6–298.4210.6166.2–253.8
2065275.3256–295.1214.5167.8–261.1
2066276.9260–296.5211.9171.8–256.1
2067272.6255.4–293.3208.4168.3–269.8
2068277.5258.1–296.5216.4169.7–268.7
2069276.1257.7–293.3213170.3–268.1
2070277.2256.6–296.6216.4176.4–270.9
2071277.2258.4–295.6215.5174.6–273.5
2072281.9263.8–298.9227.3184.1–272.3
2073276.8257.9–296.8230.4189.3–278.5
2074277.7258.7–295.9220.7176.9–277
2075278.5260.1–298.5217.7167–274.2
2076278.1261.1–294.2228.1178.9–279
2077283.8263.1–302.3229.5189.6–280.5
2078283.8263.5–299.4225.6187.8–276.4
2079278.9259.2–300.6231.9168.8–277.7
2080281.2262.1–299.4232.8182.6–283.1
2081279.1259.3–301.8227.9187.6–279.3
2082280.2260.2–298.4233.1185.6–279.4
2083280.8260.8–302.3232.2175.7–297
2084280.4263.8–301237.2185.5–288.8
2085284.6259.2–303239.5192.4–291.7
2086281.9262.8–302.4236.2189.8–289.4
2087279.7258.8–302.8239.4188.9–294
2088282.3260.7–303.3236.8193.6–288.9
2089283.4262.4–300.5238.8193.8–293.7
2090283.9259.8–301.9237.7190.1–301.5
2091283.1260.4–304.8251188.7–300.1
2092281.6259.7–303.1243.4194.9–297.8
2093284.8265.8–305.4244.4199.2–296.8
2094284.6262.8–305.6245.6202.9–299.8
2095283.6262–304.6253.2202.4–306.1
2096284.9263.3–306.3241.4196.5–304
2097280261–300.5243.1194–296.6
2098282.5262–302.1242.9199–302.3
2099285.3266.2–305.4247.3194.4–306.1
2100283.6262.8–304.1245.3195.5–307.2

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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