Niger vs South Africa

Niger vs South Africa: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 194.5 nights, or 8.17 times that in South Africa.

nights a year · CMIP6

Niger vs South Africa: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 194.5 nights, or 8.17 times that in South Africa.
NigerSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Niger at 251.1 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearNigerSouth Africa
2014221.627.1
2013216.128.3
2012220.827.9
2011220.126.1
2010219.126
2009217.225.8
2008216.824.8
2007216.924.7
2006214.325.5
2005213.625.3
2004213.625.8
2003215.525.1
2002214.625
2001213.424.5
2000211.223.3
1999210.423
1998207.723.4
1997211.522.5
1996208.620.4
1995208.319.3
1994207.820
1993202.618.1
1992203.418.1
1991209.422.3
1990208.122.7
198920622
198820321.2
1987204.921.9
1986206.821
1985203.918.9
1984201.820
1983200.519
1982201.920.3
1981204.320
1980200.621.2
1979200.519.9
197820219.8
1977203.819.2
1976201.719.2
197519918.8
1974200.619.7
1973202.619.6
1972200.719
1971200.819.1
1970199.818.6
1969196.118.7
1968200.317.8
1967196.617.5
1966198.217.8
196519917.2
1964199.214.9
1963196.716.5
1962201.119.6
1961198.219.7
1960203.219.8
1959201.618.5
1958199.219.3
1957201.119.4
1956199.618
1955199.719.5
1954201.118.4
1953196.518.4
1952197.919.3
1951199.818.9
1950200.818.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSouth Africa
2015218.8202.8–235.828.620–39.5
2016217.7201.8–230.626.817.8–37.9
2017222.4205.2–237.428.919.6–37.8
2018220.5206.3–238.829.620.6–40.6
2019219.1201.8–238.129.820.8–41.5
2020220.9206.9–234.729.518.9–39.1
2021222.8208.2–240.231.121.4–42.9
2022226.3209.7–239.23223.7–43.1
2023223.2206.6–238.431.922.9–41.8
2024228.4214.3–242.93324–45.6
2025226.7211.2–24131.920.7–44.5
2026226.3210–243.134.521.9–46.9
2027228.5209.9–241.134.423–47.7
2028227.1211.9–240.233.522.9–46
2029230.4213.3–247.136.226.5–48.3
2030226.4211.6–242.236.124.9–49
2031230.1210.8–247.136.324.5–50.3
2032228.7212.3–24136.424.5–49.2
2033229.9214.9–245.436.924.5–48.3
2034229.5212.1–244.937.626.4–51.8
2035232.3217.5–24837.625.2–49.5
2036230.2213.7–244.63826.5–50.5
2037233.2215.1–246.539.928.2–53.4
2038234.3218.2–249.741.528.4–54.2
2039231214.2–247.139.227–52.9
2040230.8214.8–247.538.125.6–55.6
2041232.6218.6–252.940.227.4–54.3
2042233.8216.2–250.54229–56.4
2043232.5217.8–245.842.128.2–58.4
2044233.8218.2–250.141.929.5–57.8
2045233.6218.1–249.742.728.2–59
2046234.3217–250.244.130–59.5
2047238.4224.3–253.144.630.7–61.2
2048238221.4–2544531.9–61.5
2049237.7217.4–25345.632.3–61.4
2050238.2220.7–254.546.931–63.6
2051236.3220.6–254.747.532–65
2052239.5224.3–255.848.332.7–64.3
2053236.3223.9–255.645.733.7–62.1
2054239.4220.2–257.94833.3–64.3
2055238.6223.7–254.746.833–68.4
2056239214.7–260.347.933.2–64.8
2057240.4223–256.350.232.6–68.9
2058238.2220.2–255.747.934–66.4
2059243.9224.6–262.751.333.1–66.9
2060239.8222.6–26051.936–69.9
2061242.5224.9–258.550.534.8–71.3
2062241.6222.4–259.850.532.7–71
2063241.3220.9–255.250.434.3–69.7
2064244.4225.9–259.55134.1–67.7
2065242.8226.5–262.450.433.6–70.2
2066245.6227–263.55335.7–72.4
2067240.7224.9–26250.634.8–70.4
2068244224.3–265.454.837.8–72.5
2069243.9225.5–261.654.339.1–73.4
2070243.1225.6–261.354.337.2–73.3
2071246.1230.3–26455.837.9–76.9
2072247.9229.9–263.75639.4–78.6
2073243.4225.4–262.860.443.4–80.3
2074243.2224.4–264.657.439.1–75.3
2075244.3230.2–263.356.137.7–76
2076246.5228.5–266.658.538.4–75.3
2077250.1232.3–267.457.341–80.5
2078249.2230.8–264.55639.5–79
2079244.4228.7–263.857.639.3–78
2080248.8230.4–26759.540.3–80.9
2081247227.8–268.15841.5–79.6
2082247230.6–264.458.839.7–77.7
2083247.3230.7–267.560.839.1–82.9
2084247.7229.4–265.262.540.4–82.9
2085248.9227–264.260.741.3–87.6
2086250.4230.9–269.560.542.1–83.3
2087245.8226.2–266.957.941–82.9
2088248.3226.7–271.164.243.4–85.3
2089251.9232.5–269.561.541.3–81.2
2090249.7227.7–267.461.641.5–86.8
2091248.9230.5–272.263.341.6–86.3
2092251229.8–27463.144.9–84.8
2093249.9234.8–26762.443.2–86.1
2094252.2234–267.563.145.6–87.4
2095251.1233–270.765.342.6–91.7
2096250.8234.8–270.46142.7–90.1
2097250.2227.8–270.858.841.2–84.6
2098250.1228.1–268.565.143.8–89.8
2099251.9232.2–268.264.345–87
2100251.1234.5–271.558.742–88.2

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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