Senegal vs Somalia

Senegal vs Somalia: Tropical nights

Tropical nights in 2014: 302.1 nights in Senegal and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 6.9 nights, or 1.02 times that in Somalia.

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nights a year · CMIP6

Senegal vs Somalia: Tropical nightsTropical nights in 2014: 302.1 nights in Senegal and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 6.9 nights, or 1.02 times that in Somalia.
SenegalSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal has been higher since 1998, when it overtook Somalia.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Senegal at 347.3 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearSenegalSomalia
2014302.1295.2
2013300.9296.8
2012304.1296.7
2011302.1297.1
2010301.5294.6
2009302.1293.5
2008298.3292.2
2007298.5293.3
2006298.6292.4
2005298.1292.3
2004294.7293.8
2003296.1293.5
2002296292.1
2001298.9292.4
2000295290.2
1999293.2288.6
1998292.5289.9
1997288.5288.8
1996285.1285
1995285.9285.2
1994283.7284.2
1993282280.2
1992277.6278.1
1991286.7286.6
1990292.5288.5
1989282.1285.1
1988282.4285.6
1987281.8282.5
1986283283.4
1985278.1279.6
1984274.6281.4
1983276.3277.1
1982281.3283.7
1981277.9282.5
1980277.6280
1979281280.4
1978280.7280.5
1977278282.9
1976274.4278.7
1975278.4276.8
1974273.8279.3
1973274.5280.8
1972273.5278.3
1971273.4278.2
1970271.3278.3
1969271.6276.8
1968272.6276.3
1967275.4274.3
1966273.3275.9
1965272.8275.2
1964271.8275.1
1963272.8272.9
1962280.2277.9
1961276.9280.3
1960279.2280.8
1959277.4278.8
1958278.8280.9
1957274.4280.3
1956273.2276.1
1955273.4280.1
1954275278.2
1953271.7277.2
1952271279.4
1951272.9279
1950270.8278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSenegalSomalia
2015298.9275.9–321299.3283.7–311
2016302.7276.5–319296.8282.3–308.3
2017302.9285.4–318.6299.6284.6–310.1
2018305.6289.2–321.5301.3287.9–310.2
2019307.6280.6–328.1299.1286.1–311.9
2020305.2276.2–322.9299.4285.3–310.3
2021307.6286–325.6302.4289.1–313.6
2022312.9289.6–334.3304.5289.7–314.6
2023307.5292.2–328.6304.1290.6–312.4
2024313.2294.6–326.9303.4290.1–317
2025311.8289–329.4303.1288.8–317.8
2026308.3285.2–328.6303.2288.7–315.4
2027310.7287.8–330303.8287.7–314.9
2028316.3289.2–331.6305.4291.3–316.8
2029315.7291.2–334.2307.8294–317.8
2030311.5289.1–329.1304.5289.6–314.9
2031318.8296.3–335307.4292.3–317.9
2032316295.7–332.4308.3292.4–319.6
2033316.7289.6–336.4307.2292–317.6
2034315.4291.6–335.1305.9292.3–321.2
2035316.8291.1–335.3308.7293.4–321.1
2036320.8298.5–335.3307.5295.4–317.7
2037324.5303.1–337.7310.1298.4–319.9
2038323.5304.2–339.7311.1296.4–323.2
2039323.3300.9–337308.6295.9–321.9
2040322.4298.9–339.5311.7295.9–324.2
2041320.2300.1–343.6312296.6–321.5
2042320302.1–339.9311.7295–325.7
2043320.4303.7–340.4312298–323.1
2044326.9301.5–340.9311.4297.3–323
2045324.1304.1–340312.3298.6–323
2046325.9304.7–340.6314.4299–327.7
2047329301.4–347315.8300.2–327.9
2048331.1314.3–344.8316.9302.8–327.5
2049331.3308.3–343.7314.9303.2–325.2
2050327.6306.5–341.9315.9300.6–324.5
2051328307.1–344314.9301.9–326.9
2052325.4308.1–344.2316.2301.6–329
2053331.8304.9–347.2314.8302.3–326.8
2054330.1310.8–345.2316.2301.5–330.1
2055330.1305.5–344317.4302.7–327.8
2056331.4307.4–349.8316.5302.9–332.3
2057337306.4–351.5316.8302.5–329.8
2058333313.2–350.2316.9300.7–330.9
2059334315.6–353.5320.8305.2–332.5
2060334.5316.4–351.1321.3305.7–331.9
2061333.7307.5–352.9317.8304.8–330.3
2062333.3312.4–350.2319.6304.3–336
2063335.4313.2–352.8320.9305.3–332
2064335.4307.1–351.1319.7306.8–330.5
2065334.8314.1–352.8318.3304.6–334.6
2066337.3312.9–351321307.9–333.9
2067335.5309.9–349.9320.5304.3–334.4
2068335.5313.5–354321.7305.6–336.3
2069336.1316.9–351.8322.3308.6–335.4
2070333.3312.9–352.9321.1305.3–335.6
2071335.7321.1–351.9324.5308.4–336.9
2072342.3321–354.6324.1308.2–334.1
2073339.4320.1–356.1323.7308.1–337.9
2074335.9317.1–351.8322306–334.6
2075338.4320.7–354.1323.6307.6–336.4
2076338.7321.9–352323.6309–333.3
2077342.8314.8–357.3324.2309.6–335.9
2078343325.8–355.4324.7310.1–333.7
2079341.2322.3–357.6323.2307.6–336.3
2080340.9317.7–358.1324.7310.6–337.8
2081339.8315.5–357.1323.2311.1–335.3
2082341.6316.4–354.9324.3309.4–336.4
2083340.8324.8–356.9323.6308.3–342.4
2084340.4322.8–354.9326.2309.4–337.5
2085346.8325.6–357327.7311.9–339.4
2086341.7324.4–357.6326.6311.1–340.2
2087343.9325.9–357.7327.3311.5–339.1
2088341.5321.6–358.2328.6308.2–341.6
2089343.2324.3–355.2326.7312–340.2
2090342320.6–356326.5311.7–339.5
2091341.7319.8–356.4328.6311.5–340.9
2092339.7318.4–357.7329.1312.2–341.8
2093345326.8–356.4327.3312.1–342.8
2094344.4324.3–357.6325.6312–336.2
2095346.3320.6–359.4329314–341.2
2096344.4323.1–359.2327.9311.6–341.9
2097341.4321.3–353.8325.6311–340
2098345322.3–357327.7311.4–341.1
2099344.6322.7–357.5327.3311.9–339.3
2100347.3323.6–359.2328.2313.4–341.2

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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