Nigeria vs Somalia

Nigeria vs Somalia: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 8.7 nights, or 1.03 times that in Somalia.

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nights a year · CMIP6

Nigeria vs Somalia: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 8.7 nights, or 1.03 times that in Somalia.
NigeriaSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria has been higher since 1999.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Nigeria at 332.3 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSomalia
2014303.9295.2
2013299.5296.8
2012304.4296.7
2011301.5297.1
2010301.4294.6
2009297.8293.5
2008297.4292.2
2007298293.3
2006297.2292.4
2005295.4292.3
2004294.1293.8
2003298.4293.5
2002295.2292.1
2001299.1292.4
2000293.9290.2
1999290.3288.6
1998289.9289.9
1997292.5288.8
1996290285
1995289.1285.2
1994287.4284.2
1993284280.2
1992281.6278.1
1991289.1286.6
1990290.6288.5
1989287.2285.1
1988288285.6
1987285.6282.5
1986289.1283.4
1985284.2279.6
1984284.4281.4
1983281.9277.1
1982283.5283.7
1981286.4282.5
1980282.8280
1979283280.4
1978282.8280.5
1977285.9282.9
1976281.7278.7
1975280.4276.8
1974280.7279.3
1973284.3280.8
1972284.1278.3
1971279.3278.2
1970282278.3
1969278.7276.8
1968279.6276.3
1967278.1274.3
1966279.4275.9
1965279275.2
1964276.8275.1
1963275.1272.9
1962284.1277.9
1961281.9280.3
1960285.9280.8
1959282.8278.8
1958281.4280.9
1957283.3280.3
1956280.8276.1
1955280.4280.1
1954284.1278.2
1953280.4277.2
1952280.8279.4
1951284.2279
1950279.3278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSomalia
2015301.7282.9–317.3299.3283.7–311
2016301.4280.8–312.5296.8282.3–308.3
2017302.5284.3–316.3299.6284.6–310.1
2018302.2286.8–316.5301.3287.9–310.2
2019300.1281.2–318299.1286.1–311.9
2020303283.7–318.5299.4285.3–310.3
2021305.1287.1–318.4302.4289.1–313.6
2022305.1286–319.5304.5289.7–314.6
2023305286.4–318.9304.1290.6–312.4
2024310.6295.1–321.5303.4290.1–317
2025307.5292–319.4303.1288.8–317.8
2026306.9286.1–322.9303.2288.7–315.4
2027307.4288–321.7303.8287.7–314.9
2028310.7293.4–322.6305.4291.3–316.8
2029311.4293.3–324.4307.8294–317.8
2030310.6294.1–322.5304.5289.6–314.9
2031312.2295–324.8307.4292.3–317.9
2032310290–323.5308.3292.4–319.6
2033313292.9–327307.2292–317.6
2034311.7294.8–325.1305.9292.3–321.2
2035314.5296.7–327.7308.7293.4–321.1
2036313.5294.1–326.5307.5295.4–317.7
2037315.6297.9–327.1310.1298.4–319.9
2038316.9301.2–329.6311.1296.4–323.2
2039315.4299.4–328.2308.6295.9–321.9
2040315.6297.9–327.4311.7295.9–324.2
2041316.8300.6–330.2312296.6–321.5
2042316.3300.3–330.3311.7295–325.7
2043316298.4–326312298–323.1
2044317.9299.5–329.6311.4297.3–323
2045316.6300.5–330.4312.3298.6–323
2046317.8302.2–330.7314.4299–327.7
2047319.8301.5–333315.8300.2–327.9
2048320.1302.4–331.7316.9302.8–327.5
2049320.7305.3–331.7314.9303.2–325.2
2050320.9304–335315.9300.6–324.5
2051321304.1–334.2314.9301.9–326.9
2052320.9303.9–333.5316.2301.6–329
2053320.9303.3–334.1314.8302.3–326.8
2054324.5304.5–338.2316.2301.5–330.1
2055322.2308.4–333.7317.4302.7–327.8
2056324.8305.8–336.3316.5302.9–332.3
2057326310.8–337.3316.8302.5–329.8
2058322.9307.4–334.2316.9300.7–330.9
2059325.7308.9–339320.8305.2–332.5
2060323.8307.5–337321.3305.7–331.9
2061324.4307.1–338.2317.8304.8–330.3
2062325.7308–339.3319.6304.3–336
2063326.6308.7–337320.9305.3–332
2064326.2311–339.8319.7306.8–330.5
2065327.6313.5–339.4318.3304.6–334.6
2066328.4311.3–339.6321307.9–333.9
2067326308.4–340.5320.5304.3–334.4
2068329.3311.2–342.9321.7305.6–336.3
2069326.6309.9–338.1322.3308.6–335.4
2070327.4312.6–340.7321.1305.3–335.6
2071329.1313–341.1324.5308.4–336.9
2072330.3315.9–342.1324.1308.2–334.1
2073326.3309.5–341323.7308.1–337.9
2074326.7311.4–341.4322306–334.6
2075328.9314.5–341.8323.6307.6–336.4
2076329.6313.4–342323.6309–333.3
2077332.5314.4–343.3324.2309.6–335.9
2078329.8312.8–342.1324.7310.1–333.7
2079329.6313.8–340.6323.2307.6–336.3
2080331.7314.1–344.8324.7310.6–337.8
2081329.3311.6–343.7323.2311.1–335.3
2082329.3313.3–341.4324.3309.4–336.4
2083330.4315–342.2323.6308.3–342.4
2084330.5311.9–344.2326.2309.4–337.5
2085332.7316.6–343.6327.7311.9–339.4
2086331.9316.3–343.6326.6311.1–340.2
2087330.7314.9–342.4327.3311.5–339.1
2088331.7313.2–342.7328.6308.2–341.6
2089331.1318.3–341.9326.7312–340.2
2090332.4312.7–343.9326.5311.7–339.5
2091333.3311–345.8328.6311.5–340.9
2092332.7313.8–345.7329.1312.2–341.8
2093334.2318.6–344.9327.3312.1–342.8
2094334.2317.3–345.6325.6312–336.2
2095333.8319.3–346.3329314–341.2
2096332.5317.4–346.7327.9311.6–341.9
2097331.8312.6–344.6325.6311–340
2098332.3316–343.7327.7311.4–341.1
2099333316.9–344.2327.3311.9–339.3
2100332.3318.5–345328.2313.4–341.2

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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