Nigeria vs Zambia

Nigeria vs Zambia: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 241 nights, or 4.83 times that in Zambia.

nights a year · CMIP6

Nigeria vs Zambia: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 241 nights, or 4.83 times that in Zambia.
NigeriaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaZambia
2014303.962.9
2013299.564.7
2012304.463.9
2011301.561.5
2010301.459.3
2009297.857.5
2008297.456
200729855.1
2006297.255.9
2005295.454.5
2004294.158.4
2003298.456.6
2002295.255
2001299.159
2000293.952.9
1999290.348
1998289.951.3
1997292.547.8
199629043.5
1995289.143.9
1994287.441.6
199328435.3
1992281.636
1991289.142.7
1990290.646.4
1989287.245
198828843.6
1987285.644
1986289.143.8
1985284.238.7
1984284.438.7
1983281.938.8
1982283.540
1981286.441.7
1980282.839.7
197928340.7
1978282.838.9
1977285.940
1976281.735.7
1975280.437.1
1974280.737.4
1973284.338.8
1972284.135
1971279.336
197028238.1
1969278.737.1
1968279.634.1
1967278.132.2
1966279.433.1
196527934.9
1964276.831.3
1963275.130.5
1962284.138.8
1961281.937
1960285.939.3
1959282.838.3
1958281.439
1957283.337.8
1956280.834.6
1955280.438.2
1954284.138
1953280.435.4
1952280.837.6
1951284.236.9
1950279.336
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaZambia
2015301.7282.9–317.372.150.1–93.9
2016301.4280.8–312.566.845.9–85.7
2017302.5284.3–316.371.449.7–92.5
2018302.2286.8–316.573.852.7–94.8
2019300.1281.2–31873.354–97.6
2020303283.7–318.577.556.9–100.4
2021305.1287.1–318.476.755.7–104.5
2022305.1286–319.584.861.6–109.7
2023305286.4–318.984.763–108
2024310.6295.1–321.585.158.2–113.9
2025307.5292–319.484.957.1–116
2026306.9286.1–322.983.658.4–119.4
2027307.4288–321.789.562.5–115.7
2028310.7293.4–322.689.965–118.6
2029311.4293.3–324.49669.8–122.8
2030310.6294.1–322.59166.7–118.1
2031312.2295–324.897.668.2–121.3
2032310290–323.594.970.3–122.2
2033313292.9–32798.270.1–123.6
2034311.7294.8–325.197.370.4–135.2
2035314.5296.7–327.7104.168.4–137.8
2036313.5294.1–326.599.568.7–131.5
2037315.6297.9–327.1107.177.4–139.8
2038316.9301.2–329.6110.383.2–138.8
2039315.4299.4–328.2101.874.3–139.1
2040315.6297.9–327.4100.872.5–145.3
2041316.8300.6–330.2113.978.7–147.6
2042316.3300.3–330.3111.379.1–155.1
2043316298.4–326106.678.3–150.6
2044317.9299.5–329.6110.574.3–145.5
2045316.6300.5–330.4109.882.2–148.2
2046317.8302.2–330.7119.485.9–160
2047319.8301.5–333123.191.1–159.4
2048320.1302.4–331.7124.590.6–160.2
2049320.7305.3–331.7124.586.1–167.1
2050320.9304–335130.592–166
2051321304.1–334.2128.498.1–169.8
2052320.9303.9–333.5130.798.6–170.4
2053320.9303.3–334.1128.488–168.8
2054324.5304.5–338.2132.193–169.6
2055322.2308.4–333.7132.1100.1–176.1
2056324.8305.8–336.3132.492.7–179.6
2057326310.8–337.3133.298.5–178.5
2058322.9307.4–334.2137.299.2–179.7
2059325.7308.9–339139.8105.8–189.5
2060323.8307.5–337145.4102.9–191
2061324.4307.1–338.2136.692.8–196.9
2062325.7308–339.3143.9101–194.7
2063326.6308.7–337144.5101.7–187.8
2064326.2311–339.8147.998.4–180.9
2065327.6313.5–339.4148.6104.3–199.8
2066328.4311.3–339.6152.1109.4–193.6
2067326308.4–340.5140.6103.2–195.7
2068329.3311.2–342.9150.8105.7–200.3
2069326.6309.9–338.1150.5106.3–197
2070327.4312.6–340.7145.8104.7–202.4
2071329.1313–341.1153.1112.7–212
2072330.3315.9–342.1157.2120–195.7
2073326.3309.5–341161.5115.2–210.9
2074326.7311.4–341.4149.2115–198.7
2075328.9314.5–341.8148.2111.5–202.2
2076329.6313.4–342150.4112–201.9
2077332.5314.4–343.3156.5120.3–208.3
2078329.8312.8–342.1157.2122.2–209.5
2079329.6313.8–340.6156.8118.1–207.3
2080331.7314.1–344.8159.8116–211.9
2081329.3311.6–343.7160.2117.1–208.6
2082329.3313.3–341.4159.6119.6–200.6
2083330.4315–342.2159.5110.7–219.9
2084330.5311.9–344.2166124.3–210.3
2085332.7316.6–343.6172.9126.8–221.1
2086331.9316.3–343.6161.9120.6–224.1
2087330.7314.9–342.4158.3129.2–219.6
2088331.7313.2–342.7168.4123.9–218.5
2089331.1318.3–341.9168.5129.9–217.9
2090332.4312.7–343.9165.7124–223.8
2091333.3311–345.8177.4129.5–227.2
2092332.7313.8–345.7170.6127.8–221.5
2093334.2318.6–344.9173.6123.6–223.3
2094334.2317.3–345.6171.4130.3–220.7
2095333.8319.3–346.3179131.6–228.6
2096332.5317.4–346.7170.8124.8–233.3
2097331.8312.6–344.6167.2122.2–224.3
2098332.3316–343.7172.5131.9–226.9
2099333316.9–344.2171.7126.5–229.1
2100332.3318.5–345171.5124.3–228

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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