Madagascar vs Nigeria

Madagascar vs Nigeria: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 165.6 nights, or 2.2 times that in Madagascar.

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nights a year · CMIP6

Madagascar vs Nigeria: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 165.6 nights, or 2.2 times that in Madagascar.
MadagascarNigeriaCMIP6 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 Madagascar at 198.5 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarNigeria
2014138.3303.9
2013138299.5
2012138.3304.4
2011136.8301.5
2010134.2301.4
2009133.5297.8
2008132.3297.4
2007133.1298
2006131.6297.2
2005130.3295.4
2004133.5294.1
2003131298.4
2002131.8295.2
2001131.7299.1
2000127.4293.9
1999128.4290.3
1998128.6289.9
1997125.3292.5
1996121.8290
1995123.3289.1
1994121.8287.4
1993116284
1992116.6281.6
1991124.9289.1
1990126.2290.6
1989124287.2
1988123.8288
1987122.8285.6
1986123.8289.1
1985120284.2
1984118.6284.4
1983116.5281.9
1982121.8283.5
1981122.1286.4
1980120.3282.8
1979120.7283
1978119.3282.8
1977119285.9
1976117.4281.7
1975116.5280.4
1974119.5280.7
1973119284.3
1972117284.1
1971116.3279.3
1970117282
1969116.3278.7
1968113.1279.6
1967113278.1
1966114.1279.4
1965112.2279
1964109.6276.8
1963109.7275.1
1962115.3284.1
1961118.5281.9
1960118.2285.9
1959119282.8
1958118.7281.4
1957117.6283.3
1956115.5280.8
1955116.6280.4
1954115.9284.1
1953116.4280.4
1952117.4280.8
1951116284.2
1950116.3279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarNigeria
2015142.8126.7–159.3301.7282.9–317.3
2016137.8122.2–156301.4280.8–312.5
2017143.1125.6–159.4302.5284.3–316.3
2018143.7125.9–160.3302.2286.8–316.5
2019143.4124.4–162.3300.1281.2–318
2020143.4125.2–159303283.7–318.5
2021145.4128.8–160.4305.1287.1–318.4
2022150.4133.4–165.2305.1286–319.5
2023149.7132.1–166305286.4–318.9
2024150.7131.4–167.9310.6295.1–321.5
2025149128.8–169.1307.5292–319.4
2026150.1127.4–169.9306.9286.1–322.9
2027151.8131.9–170.8307.4288–321.7
2028154.9137.7–173.1310.7293.4–322.6
2029155.7135.2–173.8311.4293.3–324.4
2030154.8136.4–171.3310.6294.1–322.5
2031158.1141.3–174.8312.2295–324.8
2032157.9136.2–178.4310290–323.5
2033158.9136.7–177.8313292.9–327
2034158.6140.6–179.6311.7294.8–325.1
2035161.1140.2–181.6314.5296.7–327.7
2036159.5139.4–177.1313.5294.1–326.5
2037165.8144.7–182.8315.6297.9–327.1
2038166.5149.3–183.9316.9301.2–329.6
2039164.1145.1–183.9315.4299.4–328.2
2040162.8144.5–184.8315.6297.9–327.4
2041165.8143.5–183.9316.8300.6–330.2
2042165.1144.3–188.4316.3300.3–330.3
2043165.6148.5–184.7316298.4–326
2044167.3145.8–187317.9299.5–329.6
2045166.9147.1–187.1316.6300.5–330.4
2046171.4149.6–193317.8302.2–330.7
2047171.7148.8–193.4319.8301.5–333
2048173.7151.7–193.6320.1302.4–331.7
2049172.2151.4–192.9320.7305.3–331.7
2050174.4150.5–193.6320.9304–335
2051175154.3–195.1321304.1–334.2
2052176153.8–196.7320.9303.9–333.5
2053176.6151.1–197.8320.9303.3–334.1
2054175.5152.8–199.2324.5304.5–338.2
2055179.2157.3–196.8322.2308.4–333.7
2056178.8156.5–199.7324.8305.8–336.3
2057177.7155.5–201326310.8–337.3
2058180.5158.9–202.4322.9307.4–334.2
2059181.8158.3–202.5325.7308.9–339
2060185.1159.5–207.8323.8307.5–337
2061180.6157.6–203.8324.4307.1–338.2
2062180.6157.1–205.6325.7308–339.3
2063185156.8–210.7326.6308.7–337
2064184.7159.1–205.7326.2311–339.8
2065183.8157.1–208.5327.6313.5–339.4
2066187.3159.6–211328.4311.3–339.6
2067184.9155.9–208.9326308.4–340.5
2068187.5161.7–211.1329.3311.2–342.9
2069187.5162–211.3326.6309.9–338.1
2070187.8160.4–213.6327.4312.6–340.7
2071190.7162.7–216.6329.1313–341.1
2072191.8168.2–215.8330.3315.9–342.1
2073191.4168.7–214.5326.3309.5–341
2074189.4162.6–217.7326.7311.4–341.4
2075189.3163.8–214.2328.9314.5–341.8
2076191.1164.3–214329.6313.4–342
2077191.9168.8–217.1332.5314.4–343.3
2078190.1166.5–219.3329.8312.8–342.1
2079190.1163.7–216.2329.6313.8–340.6
2080194.8167.7–219.4331.7314.1–344.8
2081191.7166.7–218.1329.3311.6–343.7
2082193.8169.2–216.7329.3313.3–341.4
2083194.6166.1–218.1330.4315–342.2
2084197.9170–219.7330.5311.9–344.2
2085197.8172.3–223.7332.7316.6–343.6
2086192.9169.6–220331.9316.3–343.6
2087195.2170.4–220.1330.7314.9–342.4
2088198.1165.1–225.5331.7313.2–342.7
2089196.3167.9–227.6331.1318.3–341.9
2090197.5172.4–228.1332.4312.7–343.9
2091199.2172.7–226.7333.3311–345.8
2092202.4170.7–226.6332.7313.8–345.7
2093202.1172.3–230.5334.2318.6–344.9
2094198.3168.6–224334.2317.3–345.6
2095200.7171.7–225.1333.8319.3–346.3
2096199.8173.6–226.3332.5317.4–346.7
2097201.2170–227.6331.8312.6–344.6
2098201.1170.7–227.2332.3316–343.7
2099198.3173.8–225.8333316.9–344.2
2100198.5173.3–227.7332.3318.5–345

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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