Nigeria vs Sudan

Nigeria vs Sudan: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 61.5 nights, or 1.25 times that in Sudan.

nights a year · CMIP6

Nigeria vs Sudan: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 61.5 nights, or 1.25 times that in Sudan.
NigeriaSudanCMIP6 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 Nigeria at 332.3 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSudan
2014303.9242.4
2013299.5240
2012304.4242
2011301.5242.2
2010301.4240.6
2009297.8236.5
2008297.4237.1
2007298236
2006297.2235.3
2005295.4233.1
2004294.1233.5
2003298.4235.6
2002295.2234.7
2001299.1235.4
2000293.9230.5
1999290.3232.1
1998289.9230.2
1997292.5231.1
1996290227.3
1995289.1227.8
1994287.4225.3
1993284219.1
1992281.6217.8
1991289.1227.3
1990290.6227.5
1989287.2223
1988288223.1
1987285.6224.4
1986289.1226.4
1985284.2222.1
1984284.4220.7
1983281.9217
1982283.5216.3
1981286.4223.2
1980282.8220
1979283218.4
1978282.8218.5
1977285.9219.3
1976281.7220.1
1975280.4215.7
1974280.7217.5
1973284.3220
1972284.1217.9
1971279.3215.5
1970282217
1969278.7213.1
1968279.6214
1967278.1210.3
1966279.4213.3
1965279213.4
1964276.8213.2
1963275.1210.1
1962284.1217
1961281.9216.9
1960285.9221.3
1959282.8217.8
1958281.4216.2
1957283.3218.9
1956280.8217.2
1955280.4216.6
1954284.1218.9
1953280.4215.1
1952280.8216.4
1951284.2218.5
1950279.3214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSudan
2015301.7282.9–317.3242.3225.3–258.3
2016301.4280.8–312.5241.4223.3–254.1
2017302.5284.3–316.3243.2223–259.1
2018302.2286.8–316.5242.3226.4–258.5
2019300.1281.2–318243.1221.7–260.4
2020303283.7–318.5244.9225.9–261.7
2021305.1287.1–318.4245.6229.1–261.5
2022305.1286–319.5249230.9–262.3
2023305286.4–318.9247.1226.8–263.1
2024310.6295.1–321.5251.5232.8–266.1
2025307.5292–319.4250.7232.4–265.6
2026306.9286.1–322.9250230.8–266.6
2027307.4288–321.7248.8228.4–265.6
2028310.7293.4–322.6249232.2–263.1
2029311.4293.3–324.4251.4232.1–266
2030310.6294.1–322.5252235.4–266.7
2031312.2295–324.8253.3234.4–268.9
2032310290–323.5250.4232.3–266.6
2033313292.9–327254.4235.3–269.4
2034311.7294.8–325.1254.2234.5–269.9
2035314.5296.7–327.7258.3240.2–273.6
2036313.5294.1–326.5252.8235.6–268.6
2037315.6297.9–327.1256.7238.6–271.8
2038316.9301.2–329.6258.7244.8–272.1
2039315.4299.4–328.2259.5241.2–272.5
2040315.6297.9–327.4256.4236.7–272.3
2041316.8300.6–330.2259.1241.2–274.5
2042316.3300.3–330.3258.7242–274.7
2043316298.4–326258.1240.3–272.6
2044317.9299.5–329.6257.3238.6–274.7
2045316.6300.5–330.4258.8243.1–276.2
2046317.8302.2–330.7261.1241.7–277.6
2047319.8301.5–333261.4244.6–278.4
2048320.1302.4–331.7260.4243.4–279.5
2049320.7305.3–331.7261.9242.6–275.9
2050320.9304–335263.5245.4–279
2051321304.1–334.2263.6246.6–278.8
2052320.9303.9–333.5263.8248.7–278.3
2053320.9303.3–334.1262.8242.4–279.2
2054324.5304.5–338.2266.3246.6–282.9
2055322.2308.4–333.7265.6245.9–281.4
2056324.8305.8–336.3264.1242.6–281.5
2057326310.8–337.3266.4247.6–283.4
2058322.9307.4–334.2265.2247.4–280.3
2059325.7308.9–339268.4249.6–285.4
2060323.8307.5–337263.6246.7–284.4
2061324.4307.1–338.2266.9250.1–281.9
2062325.7308–339.3266.4248.5–285
2063326.6308.7–337267.1246.9–283.4
2064326.2311–339.8269250.7–284.7
2065327.6313.5–339.4269.8253.9–285.6
2066328.4311.3–339.6271.4251.9–287.3
2067326308.4–340.5270.9250–288.4
2068329.3311.2–342.9271.9251.7–289.8
2069326.6309.9–338.1268251.1–286.2
2070327.4312.6–340.7269252.3–285.8
2071329.1313–341.1275.5254.1–290.4
2072330.3315.9–342.1273.3254.2–289.4
2073326.3309.5–341271.9250.7–287.6
2074326.7311.4–341.4270.9249–290.1
2075328.9314.5–341.8273.1254–291.9
2076329.6313.4–342272.7255.2–290.9
2077332.5314.4–343.3274.6255.2–292.7
2078329.8312.8–342.1274.3255.6–291.2
2079329.6313.8–340.6272255.2–288.5
2080331.7314.1–344.8276.6256–292.2
2081329.3311.6–343.7275.1254.1–294.8
2082329.3313.3–341.4272.9258.7–288.6
2083330.4315–342.2276.5258–291.7
2084330.5311.9–344.2275.4253–294.9
2085332.7316.6–343.6275.3258.6–291.6
2086331.9316.3–343.6276.4256.9–296.6
2087330.7314.9–342.4273.5253.1–293.3
2088331.7313.2–342.7273.6253.7–293.6
2089331.1318.3–341.9276.5256.6–293.4
2090332.4312.7–343.9276.6256.4–294.6
2091333.3311–345.8277.4256.4–296.6
2092332.7313.8–345.7274.6254.3–294.9
2093334.2318.6–344.9278261.9–292.1
2094334.2317.3–345.6280.3262.2–294
2095333.8319.3–346.3277.5262.6–294
2096332.5317.4–346.7279.7258.7–297
2097331.8312.6–344.6276.3254.1–297.6
2098332.3316–343.7277.7258.2–295.5
2099333316.9–344.2276.8257.2–296.2
2100332.3318.5–345278.6259–294.3

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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