Djibouti vs Somalia

Djibouti vs Somalia: Tropical nights

Tropical nights in 2014: 293.4 nights in Djibouti and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 1.8 nights, or 1.01 times that in Djibouti.

nights a year · CMIP6

Djibouti vs Somalia: Tropical nightsTropical nights in 2014: 293.4 nights in Djibouti and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 1.8 nights, or 1.01 times that in Djibouti.
DjiboutiSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia has been higher since 2012, when it overtook Djibouti.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Djibouti at 346.9 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearDjiboutiSomalia
2014293.4295.2
2013296.4296.8
2012294.3296.7
2011298.1297.1
2010289.9294.6
2009290.6293.5
2008289.4292.2
2007288.4293.3
2006289.6292.4
2005286.8292.3
2004286.7293.8
2003289.3293.5
2002286.6292.1
2001285.6292.4
2000282.5290.2
1999278.7288.6
1998278.1289.9
1997281.9288.8
1996277.8285
1995275.4285.2
1994274.8284.2
1993276.7280.2
1992271278.1
1991278.5286.6
1990280.9288.5
1989277.5285.1
1988273.9285.6
1987270.7282.5
1986274.9283.4
1985269.9279.6
1984271.4281.4
1983269.3277.1
1982275.2283.7
1981271.2282.5
1980270.8280
1979272.1280.4
1978272.5280.5
1977277.4282.9
1976269.6278.7
1975266.9276.8
1974267.5279.3
1973267280.8
1972266.3278.3
1971268.7278.2
1970272.1278.3
1969266.2276.8
1968267.6276.3
1967263.1274.3
1966263.2275.9
1965263.6275.2
1964268275.1
1963263.7272.9
1962265.9277.9
1961272.8280.3
1960273.8280.8
1959267.1278.8
1958272.5280.9
1957268.9280.3
1956269.1276.1
1955271.4280.1
1954269278.2
1953266.7277.2
1952270.8279.4
1951270.6279
1950270.8278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearDjiboutiSomalia
2015299.3274.4–316.3299.3283.7–311
2016298.5270.5–316.5296.8282.3–308.3
2017299.5269.3–317.1299.6284.6–310.1
2018301.1285–316.6301.3287.9–310.2
2019295.1275.3–319.8299.1286.1–311.9
2020298.4277.9–319.3299.4285.3–310.3
2021301277.1–325.6302.4289.1–313.6
2022309.1280.2–331.2304.5289.7–314.6
2023306.7285.5–326304.1290.6–312.4
2024306.5286.3–331303.4290.1–317
2025306.7276.4–329.6303.1288.8–317.8
2026307.8278.9–330.9303.2288.7–315.4
2027309.1286.6–334.5303.8287.7–314.9
2028313295.2–337.3305.4291.3–316.8
2029314.6294.8–336.4307.8294–317.8
2030309.3281.2–326.3304.5289.6–314.9
2031314.8285.3–332.3307.4292.3–317.9
2032317.1290.4–338.2308.3292.4–319.6
2033311.6285.5–332.4307.2292–317.6
2034307.3287.4–335.2305.9292.3–321.2
2035311.7291.1–333.1308.7293.4–321.1
2036311.8290.1–333.4307.5295.4–317.7
2037312.9294.8–339.2310.1298.4–319.9
2038316.5291.2–338.3311.1296.4–323.2
2039315.3286.9–336.4308.6295.9–321.9
2040317.1296.7–341.3311.7295.9–324.2
2041321.8297.1–337.1312296.6–321.5
2042318.4295.6–347.5311.7295–325.7
2043321.6298.6–342.1312298–323.1
2044317.4296–344.6311.4297.3–323
2045321.6295.9–338.6312.3298.6–323
2046325.9299.3–347.7314.4299–327.7
2047327.5304.3–348315.8300.2–327.9
2048330.4316.6–349.2316.9302.8–327.5
2049330.6315.4–343.4314.9303.2–325.2
2050326308.8–343.1315.9300.6–324.5
2051326.3309–341.7314.9301.9–326.9
2052326.3304.4–350.7316.2301.6–329
2053328.4299.8–348.8314.8302.3–326.8
2054329.5306.2–349.6316.2301.5–330.1
2055332310.8–351.2317.4302.7–327.8
2056329.4308.6–350.3316.5302.9–332.3
2057331.6311.6–348.2316.8302.5–329.8
2058330.3304.2–354.3316.9300.7–330.9
2059337.7317.3–352.1320.8305.2–332.5
2060338.1316.8–354.7321.3305.7–331.9
2061333.4314.9–350.2317.8304.8–330.3
2062331.6309.8–351.8319.6304.3–336
2063337.3310–351.6320.9305.3–332
2064336.8315.1–353.3319.7306.8–330.5
2065332.2311.2–353.8318.3304.6–334.6
2066339.8321.6–354.6321307.9–333.9
2067339.1312.7–350.6320.5304.3–334.4
2068342308.3–358321.7305.6–336.3
2069341.9320.6–357.3322.3308.6–335.4
2070342.7311.5–355.2321.1305.3–335.6
2071341.9317.5–357.4324.5308.4–336.9
2072342.6316.3–353.8324.1308.2–334.1
2073343.5320.3–358.3323.7308.1–337.9
2074336.5317–353.1322306–334.6
2075340.6314.1–356.2323.6307.6–336.4
2076341.8318.1–353.4323.6309–333.3
2077340.8320.8–354.3324.2309.6–335.9
2078341.6321–357.5324.7310.1–333.7
2079340.7320.3–358.1323.2307.6–336.3
2080342322.8–358.5324.7310.6–337.8
2081338.9318.1–357.5323.2311.1–335.3
2082341317.8–355.8324.3309.4–336.4
2083341.4310.4–358.3323.6308.3–342.4
2084343320.6–357.4326.2309.4–337.5
2085348.7321.3–359.1327.7311.9–339.4
2086348.6326.5–361.3326.6311.1–340.2
2087347.9327.9–358.3327.3311.5–339.1
2088344.9323–358.9328.6308.2–341.6
2089349.8321.7–359.8326.7312–340.2
2090346.6331.9–359.2326.5311.7–339.5
2091348.5332.1–360.8328.6311.5–340.9
2092350329–360.2329.1312.2–341.8
2093345.2328.1–360.2327.3312.1–342.8
2094345.9320.1–360.2325.6312–336.2
2095348.3328.8–360329314–341.2
2096348.1323.6–360.9327.9311.6–341.9
2097345.3323.2–357.5325.6311–340
2098346.6322.3–360.7327.7311.4–341.1
2099346.6323.6–360.4327.3311.9–339.3
2100346.9332.3–359.8328.2313.4–341.2

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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