Malawi vs Somalia

Malawi vs Somalia: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 157.1 nights, or 2.14 times that in Malawi.

nights a year · CMIP6

Malawi vs Somalia: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 157.1 nights, or 2.14 times that in Malawi.
MalawiSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia 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 Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiSomalia
2014138.1295.2
2013138.9296.8
2012137.4296.7
2011136.6297.1
2010132.4294.6
2009131.4293.5
2008130.8292.2
2007132.8293.3
2006129.8292.4
2005129.5292.3
2004133.4293.8
2003132.5293.5
2002130.3292.1
2001134292.4
2000126.6290.2
1999124.8288.6
1998127.1289.9
1997124.2288.8
1996121.3285
1995120.9285.2
1994118.4284.2
1993113.8280.2
1992114.1278.1
1991120.9286.6
1990123.8288.5
1989120.5285.1
1988120.8285.6
1987118.8282.5
1986121.1283.4
1985115.7279.6
1984116.2281.4
1983115.5277.1
1982115.1283.7
1981119282.5
1980116.9280
1979117.7280.4
1978114.8280.5
1977117.2282.9
1976114278.7
1975114276.8
1974115.2279.3
1973114.7280.8
1972113.8278.3
1971114.1278.2
1970115.8278.3
1969114.3276.8
1968110276.3
1967109.8274.3
1966111275.9
1965111.5275.2
1964106.3275.1
1963107.5272.9
1962114.7277.9
1961116280.3
1960117.4280.8
1959115.6278.8
1958116.4280.9
1957114.6280.3
1956111.4276.1
1955115.2280.1
1954113.9278.2
1953113277.2
1952113.5279.4
1951113.5279
1950112.8278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiSomalia
2015145.7126.7–164.3299.3283.7–311
2016139.8122.6–157.4296.8282.3–308.3
2017143.6127–161.8299.6284.6–310.1
2018143.1124.6–162.6301.3287.9–310.2
2019143.8128.3–161.4299.1286.1–311.9
2020145127.3–165.8299.4285.3–310.3
2021145.3128–163.6302.4289.1–313.6
2022151130.1–169.1304.5289.7–314.6
2023149.2129.5–171.2304.1290.6–312.4
2024152.4130–172.6303.4290.1–317
2025151.1129.7–170.4303.1288.8–317.8
2026151.1126.2–173.8303.2288.7–315.4
2027154.4135.1–173.1303.8287.7–314.9
2028155.5134.6–174305.4291.3–316.8
2029159.8139.2–178.5307.8294–317.8
2030155.6138.7–174.5304.5289.6–314.9
2031161.1143.4–177.6307.4292.3–317.9
2032160.8141.3–181.3308.3292.4–319.6
2033161.3135.6–179.2307.2292–317.6
2034160.9138.9–185305.9292.3–321.2
2035164.3140.4–189.5308.7293.4–321.1
2036163.8137.6–182.5307.5295.4–317.7
2037166.9144.6–189.2310.1298.4–319.9
2038172.2148.4–191.2311.1296.4–323.2
2039164.8147.3–188.2308.6295.9–321.9
2040164.4146.4–189.7311.7295.9–324.2
2041169.3143.7–192.5312296.6–321.5
2042169.8146.3–197.8311.7295–325.7
2043167.5147.1–193.2312298–323.1
2044172.6148.3–197311.4297.3–323
2045170.4153.1–194.7312.3298.6–323
2046176.3151.2–203.1314.4299–327.7
2047178.7157.8–200.9315.8300.2–327.9
2048180.7158.9–204.1316.9302.8–327.5
2049176.7154–205.4314.9303.2–325.2
2050180.4155.2–204.9315.9300.6–324.5
2051182.9162.1–207.4314.9301.9–326.9
2052184.9163.2–209.6316.2301.6–329
2053177.2149.6–207.4314.8302.3–326.8
2054185.1157.1–208316.2301.5–330.1
2055186.1159.2–212.6317.4302.7–327.8
2056184.6158.5–214.3316.5302.9–332.3
2057184.7159.3–212.3316.8302.5–329.8
2058188.5163.8–214.7316.9300.7–330.9
2059189.8166.9–218.5320.8305.2–332.5
2060192.6163.4–218.1321.3305.7–331.9
2061186.4158.8–216.8317.8304.8–330.3
2062192.3163.9–218.6319.6304.3–336
2063189.2165.2–220.3320.9305.3–332
2064197161.3–218319.7306.8–330.5
2065193.1165.8–225.2318.3304.6–334.6
2066201170.1–224.7321307.9–333.9
2067193.1164.2–223.7320.5304.3–334.4
2068198.6163.7–227.1321.7305.6–336.3
2069199.4165.8–225322.3308.6–335.4
2070198.7168–226.7321.1305.3–335.6
2071199.3167.9–233.5324.5308.4–336.9
2072202.3173.2–226.2324.1308.2–334.1
2073205.4168.2–233.4323.7308.1–337.9
2074198.2175.4–227.7322306–334.6
2075199.6168.9–228.3323.6307.6–336.4
2076198.8169.8–225.2323.6309–333.3
2077202172.2–231.2324.2309.6–335.9
2078203.5175.8–232.1324.7310.1–333.7
2079203.6172.2–236.1323.2307.6–336.3
2080204.7172.2–234.3324.7310.6–337.8
2081202.2174.9–231.3323.2311.1–335.3
2082204.3178.3–228.6324.3309.4–336.4
2083205.8170.7–238.3323.6308.3–342.4
2084208.1175.9–235.6326.2309.4–337.5
2085211.1179.4–241327.7311.9–339.4
2086203.3175.4–237326.6311.1–340.2
2087205.3181.2–237.7327.3311.5–339.1
2088211.6174.7–240.6328.6308.2–341.6
2089208.9180.5–237.8326.7312–340.2
2090209.4173.4–243326.5311.7–339.5
2091214.3179.7–244.8328.6311.5–340.9
2092213.2176.8–242.3329.1312.2–341.8
2093212.5177.8–242.2327.3312.1–342.8
2094211.8179.7–241.5325.6312–336.2
2095216.9185–243.8329314–341.2
2096213.1182–247.6327.9311.6–341.9
2097210.8174.9–242.1325.6311–340
2098214.4181.5–242.2327.7311.4–341.1
2099213.5181.9–244.1327.3311.9–339.3
2100213.3181.5–246.3328.2313.4–341.2

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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