Guinea vs Nigeria

Guinea vs Nigeria: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 17.3 nights, or 1.06 times that in Guinea.

nights a year · CMIP6

Guinea vs Nigeria: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 17.3 nights, or 1.06 times that in Guinea.
GuineaNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guinea at 345.3 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaNigeria
2014286.6303.9
2013285.3299.5
2012292.9304.4
2011288.8301.5
2010285.2301.4
2009282.5297.8
2008279297.4
2007278.9298
2006278.8297.2
2005278.9295.4
2004276294.1
2003279.6298.4
2002277.1295.2
2001279.8299.1
2000273.1293.9
1999267290.3
1998268.4289.9
1997266.6292.5
1996260.4290
1995260.3289.1
1994255287.4
1993246.6284
1992242.4281.6
1991264.3289.1
1990266.4290.6
1989259.7287.2
1988256.9288
1987258.4285.6
1986259.9289.1
1985252.6284.2
1984249.6284.4
1983248.4281.9
1982250283.5
1981253.5286.4
1980251.2282.8
1979251.2283
1978252282.8
1977250.4285.9
1976244281.7
1975242.3280.4
1974247.2280.7
1973249.3284.3
1972246.1284.1
1971244.5279.3
1970249282
1969241.2278.7
1968241.5279.6
1967233.3278.1
1966237.7279.4
1965239.8279
1964231276.8
1963225.8275.1
1962246.9284.1
1961246281.9
1960250.5285.9
1959244.8282.8
1958245.6281.4
1957247.5283.3
1956242.4280.8
1955243.5280.4
1954250.2284.1
1953241.2280.4
1952240.3280.8
1951248.8284.2
1950240.8279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaNigeria
2015286.7259.9–308.5301.7282.9–317.3
2016288.9262.6–304301.4280.8–312.5
2017291.6265.5–311.4302.5284.3–316.3
2018295.6269.3–311.8302.2286.8–316.5
2019291.8266.8–313.6300.1281.2–318
2020291.2265.6–315.4303283.7–318.5
2021295.8268–316.3305.1287.1–318.4
2022299.9277.9–322.4305.1286–319.5
2023296273.8–318305286.4–318.9
2024302.3276.9–322.8310.6295.1–321.5
2025298.9275.2–322.4307.5292–319.4
2026302.5269.3–323.9306.9286.1–322.9
2027302.6276.3–320.2307.4288–321.7
2028308.2285.4–325.8310.7293.4–322.6
2029309.3280.6–327.2311.4293.3–324.4
2030305.5277.4–322.4310.6294.1–322.5
2031313.2282.2–329.6312.2295–324.8
2032307.7287.3–329.5310290–323.5
2033310.4282.4–337.8313292.9–327
2034308281.7–327.4311.7294.8–325.1
2035311.2284.9–333314.5296.7–327.7
2036312.8285.7–334.5313.5294.1–326.5
2037315.5291.8–331.1315.6297.9–327.1
2038317.9296.3–333.9316.9301.2–329.6
2039314.1291.6–336315.4299.4–328.2
2040316.1292.9–334.6315.6297.9–327.4
2041315.4296.5–335.7316.8300.6–330.2
2042316290.7–336.6316.3300.3–330.3
2043314.8291.1–332.7316298.4–326
2044319.8289.7–337.5317.9299.5–329.6
2045318.6296.4–339316.6300.5–330.4
2046321.4295.7–337317.8302.2–330.7
2047324.6297.9–342.8319.8301.5–333
2048324.8304.4–341.1320.1302.4–331.7
2049324.2302.4–340.2320.7305.3–331.7
2050322.4299.7–339.6320.9304–335
2051326.1300.4–342321304.1–334.2
2052324301.5–342.8320.9303.9–333.5
2053325.6298–345.3320.9303.3–334.1
2054329.5301.3–345.1324.5304.5–338.2
2055324.4305.3–342.4322.2308.4–333.7
2056329.6299.4–349.4324.8305.8–336.3
2057332.4301.5–351326310.8–337.3
2058328.8305.6–347.6322.9307.4–334.2
2059330.3310.8–350.5325.7308.9–339
2060328.3309.4–348.2323.8307.5–337
2061330.5304.6–352.8324.4307.1–338.2
2062327.7307.3–346.5325.7308–339.3
2063333.4311–349.1326.6308.7–337
2064330.9310.6–351.6326.2311–339.8
2065331.4309.7–350.6327.6313.5–339.4
2066331.8312.3–347.4328.4311.3–339.6
2067329.1304–348.6326308.4–340.5
2068335.4309.6–354.5329.3311.2–342.9
2069333.5313–351.4326.6309.9–338.1
2070331.7310.9–352.7327.4312.6–340.7
2071334.6315.6–352.4329.1313–341.1
2072338.3317–353.2330.3315.9–342.1
2073334309.7–351.6326.3309.5–341
2074330.2310.6–352326.7311.4–341.4
2075334312–352.2328.9314.5–341.8
2076338.4321.3–352.1329.6313.4–342
2077341.4318.4–355.6332.5314.4–343.3
2078338.1316.6–355.8329.8312.8–342.1
2079337.5318.8–355.3329.6313.8–340.6
2080339.8315.4–358331.7314.1–344.8
2081339.3318.2–356.6329.3311.6–343.7
2082337.9316.1–353.3329.3313.3–341.4
2083339.2320.8–355.8330.4315–342.2
2084340.5321–354.6330.5311.9–344.2
2085343.8319.9–358.1332.7316.6–343.6
2086342.2318.7–358.7331.9316.3–343.6
2087340.7319.9–357.6330.7314.9–342.4
2088341.2318.3–354.9331.7313.2–342.7
2089337.9318.6–354.8331.1318.3–341.9
2090341.1315–356332.4312.7–343.9
2091339.7319.7–355.5333.3311–345.8
2092339.7320.4–356.8332.7313.8–345.7
2093341.8325.1–356.2334.2318.6–344.9
2094342.2324–356.4334.2317.3–345.6
2095340.7323.5–359.3333.8319.3–346.3
2096343.2324–359.7332.5317.4–346.7
2097340.3313.8–353.8331.8312.6–344.6
2098339.9318.8–357332.3316–343.7
2099341.5324.6–355.9333316.9–344.2
2100345.3319.6–357.9332.3318.5–345

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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