Malawi vs Mali

Malawi vs Mali: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 112.1 nights, or 1.81 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Malawi vs Mali: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 112.1 nights, or 1.81 times that in Malawi.
MalawiMaliCMIP6 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 Malawi at 213.3 nights and Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiMali
2014138.1250.2
2013138.9247.3
2012137.4253.1
2011136.6251.9
2010132.4250.4
2009131.4248
2008130.8247.8
2007132.8248.1
2006129.8245.5
2005129.5244.3
2004133.4243.9
2003132.5247.1
2002130.3245.8
2001134245.6
2000126.6243.2
1999124.8242.4
1998127.1240.6
1997124.2240.7
1996121.3236.4
1995120.9238
1994118.4236.2
1993113.8235.1
1992114.1232
1991120.9238.7
1990123.8241
1989120.5236.3
1988120.8234.7
1987118.8236.1
1986121.1237.1
1985115.7235.3
1984116.2233
1983115.5231.2
1982115.1234.9
1981119233.9
1980116.9231.5
1979117.7233.8
1978114.8234.8
1977117.2233.6
1976114231.7
1975114232.4
1974115.2229.7
1973114.7230.3
1972113.8230.7
1971114.1229.5
1970115.8229.9
1969114.3227.3
1968110230.5
1967109.8229
1966111228.1
1965111.5230.2
1964106.3228.9
1963107.5228.2
1962114.7231.7
1961116231.6
1960117.4235.1
1959115.6231.8
1958116.4231.8
1957114.6233.3
1956111.4230.7
1955115.2230.6
1954113.9232
1953113228.3
1952113.5229.2
1951113.5231.4
1950112.8228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiMali
2015145.7126.7–164.3247.9231.5–264.7
2016139.8122.6–157.4248231.3–262.6
2017143.6127–161.8252.7233.6–268.2
2018143.1124.6–162.6254.2236.4–269
2019143.8128.3–161.4251.6233.5–272.3
2020145127.3–165.8251.3231.2–270.7
2021145.3128–163.6254.8238.5–270
2022151130.1–169.1257237.8–275.3
2023149.2129.5–171.2254.2239.6–269.2
2024152.4130–172.6259.3242.3–276.8
2025151.1129.7–170.4256.2239.2–272.3
2026151.1126.2–173.8256.8237.2–277.8
2027154.4135.1–173.1258.5240.3–273.1
2028155.5134.6–174259.7243.6–273.9
2029159.8139.2–178.5260.8240.3–275.3
2030155.6138.7–174.5258.1237.5–272.6
2031161.1143.4–177.6262.2243.4–280.6
2032160.8141.3–181.3260.5242.1–278.2
2033161.3135.6–179.2262.1241.7–280.3
2034160.9138.9–185260.7242–275.3
2035164.3140.4–189.5261.5244.8–283.6
2036163.8137.6–182.5262.5244.6–281.1
2037166.9144.6–189.2264.5245.2–279.6
2038172.2148.4–191.2266246.7–283.2
2039164.8147.3–188.2262.3245–281.6
2040164.4146.4–189.7263.6247.5–279.6
2041169.3143.7–192.5264.6250.8–283.1
2042169.8146.3–197.8265.7245.9–283.5
2043167.5147.1–193.2264.8246.9–278.8
2044172.6148.3–197269.3247.4–284.7
2045170.4153.1–194.7265.6248.9–283.7
2046176.3151.2–203.1269.8247.5–286.4
2047178.7157.8–200.9271.9251.2–290.3
2048180.7158.9–204.1270.4254.4–288.2
2049176.7154–205.4272252.1–288.2
2050180.4155.2–204.9269.5250.6–286.4
2051182.9162.1–207.4268.8251.7–286.9
2052184.9163.2–209.6270.1252.7–292.1
2053177.2149.6–207.4269.3249.2–288.8
2054185.1157.1–208270.3251.7–290.6
2055186.1159.2–212.6270.9252.7–288.1
2056184.6158.5–214.3273248.6–291.4
2057184.7159.3–212.3275.5255.2–295
2058188.5163.8–214.7271252.7–293.2
2059189.8166.9–218.5274.5259.3–299.6
2060192.6163.4–218.1273.5258–293.7
2061186.4158.8–216.8275.4257–298
2062192.3163.9–218.6270.8251.7–291.8
2063189.2165.2–220.3275.9256.6–292.2
2064197161.3–218276.4256.6–298.4
2065193.1165.8–225.2275.3256–295.1
2066201170.1–224.7276.9260–296.5
2067193.1164.2–223.7272.6255.4–293.3
2068198.6163.7–227.1277.5258.1–296.5
2069199.4165.8–225276.1257.7–293.3
2070198.7168–226.7277.2256.6–296.6
2071199.3167.9–233.5277.2258.4–295.6
2072202.3173.2–226.2281.9263.8–298.9
2073205.4168.2–233.4276.8257.9–296.8
2074198.2175.4–227.7277.7258.7–295.9
2075199.6168.9–228.3278.5260.1–298.5
2076198.8169.8–225.2278.1261.1–294.2
2077202172.2–231.2283.8263.1–302.3
2078203.5175.8–232.1283.8263.5–299.4
2079203.6172.2–236.1278.9259.2–300.6
2080204.7172.2–234.3281.2262.1–299.4
2081202.2174.9–231.3279.1259.3–301.8
2082204.3178.3–228.6280.2260.2–298.4
2083205.8170.7–238.3280.8260.8–302.3
2084208.1175.9–235.6280.4263.8–301
2085211.1179.4–241284.6259.2–303
2086203.3175.4–237281.9262.8–302.4
2087205.3181.2–237.7279.7258.8–302.8
2088211.6174.7–240.6282.3260.7–303.3
2089208.9180.5–237.8283.4262.4–300.5
2090209.4173.4–243283.9259.8–301.9
2091214.3179.7–244.8283.1260.4–304.8
2092213.2176.8–242.3281.6259.7–303.1
2093212.5177.8–242.2284.8265.8–305.4
2094211.8179.7–241.5284.6262.8–305.6
2095216.9185–243.8283.6262–304.6
2096213.1182–247.6284.9263.3–306.3
2097210.8174.9–242.1280261–300.5
2098214.4181.5–242.2282.5262–302.1
2099213.5181.9–244.1285.3266.2–305.4
2100213.3181.5–246.3283.6262.8–304.1

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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