Congo - Kinshasa vs Somalia

Congo - Kinshasa vs Somalia: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 46.7 nights, or 1.19 times that in Congo - Kinshasa.

nights a year · CMIP6

Congo - Kinshasa vs Somalia: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 46.7 nights, or 1.19 times that in Congo - Kinshasa.
Congo - KinshasaSomaliaCMIP6 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 Congo - Kinshasa at 324.1 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaSomalia
2014248.5295.2
2013249.2296.8
2012250.9296.7
2011248.7297.1
2010243.5294.6
2009243293.5
2008239.7292.2
2007237.7293.3
2006239292.4
2005237.3292.3
2004238.5293.8
2003239.3293.5
2002236.5292.1
2001242.5292.4
2000233.5290.2
1999226.2288.6
1998230.6289.9
1997226.6288.8
1996218.6285
1995217.2285.2
1994211.9284.2
1993201.5280.2
1992197.6278.1
1991220.1286.6
1990225.4288.5
1989218.4285.1
1988216.7285.6
1987216.6282.5
1986216.8283.4
1985206.1279.6
1984205.9281.4
1983204.3277.1
1982204.5283.7
1981215.2282.5
1980211.4280
1979208.5280.4
1978202.6280.5
1977206.5282.9
1976201.9278.7
1975199276.8
1974204279.3
1973208.4280.8
1972202.5278.3
1971196.3278.2
1970201.7278.3
1969197.3276.8
1968199276.3
1967188.8274.3
1966194.7275.9
1965189275.2
1964177.3275.1
1963178.5272.9
1962203.2277.9
1961203.9280.3
1960209.8280.8
1959203.3278.8
1958204.3280.9
1957204280.3
1956197.6276.1
1955200.5280.1
1954201278.2
1953204.6277.2
1952201.9279.4
1951204.8279
1950200.8278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaSomalia
2015256.6217.3–277.7299.3283.7–311
2016247.7213.3–269.3296.8282.3–308.3
2017257.4226.6–278.3299.6284.6–310.1
2018258.8228.1–276.8301.3287.9–310.2
2019255.8222.6–278.7299.1286.1–311.9
2020259.4227.4–282.3299.4285.3–310.3
2021262.6234.7–283.8302.4289.1–313.6
2022264.8235.1–288.5304.5289.7–314.6
2023263.9236.8–287.2304.1290.6–312.4
2024270.9237.9–290303.4290.1–317
2025266.1230.6–292.2303.1288.8–317.8
2026267.4226.8–294.5303.2288.7–315.4
2027268.6230.6–293.6303.8287.7–314.9
2028271.7239.7–295.9305.4291.3–316.8
2029275.9249.3–296.6307.8294–317.8
2030270.4241.7–296.1304.5289.6–314.9
2031279.4246.6–297.5307.4292.3–317.9
2032277.9249.4–302.3308.3292.4–319.6
2033276.9245.9–301.6307.2292–317.6
2034276.7247.4–305.6305.9292.3–321.2
2035281243.7–305.1308.7293.4–321.1
2036278.3244.7–304.9307.5295.4–317.7
2037286.9256.1–308.6310.1298.4–319.9
2038289261.5–307.1311.1296.4–323.2
2039284.7253.4–307.3308.6295.9–321.9
2040284.5254.7–311.5311.7295.9–324.2
2041289.9258.4–310.8312296.6–321.5
2042286.9254.1–314.3311.7295–325.7
2043285.9253–313312298–323.1
2044288.3253.6–312.5311.4297.3–323
2045289.4260.1–314.1312.3298.6–323
2046298.3261.3–317.3314.4299–327.7
2047298.5268.2–317.8315.8300.2–327.9
2048299.1268–320.8316.9302.8–327.5
2049300.3269.6–320.4314.9303.2–325.2
2050297.8267.2–320.6315.9300.6–324.5
2051298.4272.3–323.1314.9301.9–326.9
2052300.2271.5–324316.2301.6–329
2053298.7265.5–322.6314.8302.3–326.8
2054300.6269.6–322.8316.2301.5–330.1
2055301.9274.9–325.6317.4302.7–327.8
2056302.1266.2–328.3316.5302.9–332.3
2057305.1274.4–326.5316.8302.5–329.8
2058305.3274.1–327.1316.9300.7–330.9
2059305.4279–329.6320.8305.2–332.5
2060310.7273.5–330.2321.3305.7–331.9
2061307266.1–329.8317.8304.8–330.3
2062308.8269.1–332319.6304.3–336
2063308.4277.6–328.4320.9305.3–332
2064310.6278.4–329.6319.7306.8–330.5
2065311.9282.4–331.2318.3304.6–334.6
2066310.4284.2–330.3321307.9–333.9
2067308.8275.9–334320.5304.3–334.4
2068313.9280.8–334.6321.7305.6–336.3
2069312.1270.6–332.7322.3308.6–335.4
2070309.6278–334321.1305.3–335.6
2071312.6285–336.5324.5308.4–336.9
2072317287.7–334.6324.1308.2–334.1
2073316.2291.2–337.1323.7308.1–337.9
2074311.6284.5–334.9322306–334.6
2075312.3279.3–335.2323.6307.6–336.4
2076315.9288.7–337.1323.6309–333.3
2077318.5292.6–338.2324.2309.6–335.9
2078315287.3–337.1324.7310.1–333.7
2079314.8286.3–336323.2307.6–336.3
2080318.5286.8–337.8324.7310.6–337.8
2081318.4287.8–336.7323.2311.1–335.3
2082318.7289.8–336.5324.3309.4–336.4
2083317.4290.6–340.9323.6308.3–342.4
2084321.6293.8–339.8326.2309.4–337.5
2085324.4294.3–341.4327.7311.9–339.4
2086319290.7–340.7326.6311.1–340.2
2087318.3291.9–339.6327.3311.5–339.1
2088320.9292.9–340328.6308.2–341.6
2089322.1293.9–339.8326.7312–340.2
2090320.4295.5–341.7326.5311.7–339.5
2091325.4294.3–343.3328.6311.5–340.9
2092321.5294.4–342.4329.1312.2–341.8
2093323.1297.8–341.2327.3312.1–342.8
2094323.1296.5–341.1325.6312–336.2
2095325.6299.1–343.7329314–341.2
2096321.8296.2–344.1327.9311.6–341.9
2097321.5292.6–342325.6311–340
2098324.2295.1–342.8327.7311.4–341.1
2099322.8293.7–344.6327.3311.9–339.3
2100324.1292.1–344.1328.2313.4–341.2

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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