Benin vs Madagascar

Benin vs Madagascar: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 195.6 nights, or 2.41 times that in Madagascar.

nights a year · CMIP6

Benin vs Madagascar: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 195.6 nights, or 2.41 times that in Madagascar.
BeninMadagascarCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 359.6 nights and Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearBeninMadagascar
2014333.9138.3
2013328.9138
2012332.6138.3
2011330.1136.8
2010329.8134.2
2009325.2133.5
2008326.4132.3
2007325.2133.1
2006326.1131.6
2005324.3130.3
2004322.7133.5
2003327.4131
2002324131.8
2001329.4131.7
2000322.4127.4
1999317.9128.4
1998319.1128.6
1997320.6125.3
1996315.5121.8
1995316.5123.3
1994314.3121.8
1993313.5116
1992309.8116.6
1991316.1124.9
1990320.6126.2
1989313.1124
1988313.6123.8
1987313.3122.8
1986317.1123.8
1985314.6120
1984311.8118.6
1983308.8116.5
1982309.3121.8
1981314.8122.1
1980310.2120.3
1979311.9120.7
1978310119.3
1977314.4119
1976309.1117.4
1975307.3116.5
1974307.9119.5
1973311.8119
1972310.1117
1971305.9116.3
1970309.7117
1969305.9116.3
1968305.6113.1
1967305.6113
1966305.4114.1
1965306.1112.2
1964304.6109.6
1963304.6109.7
1962311.6115.3
1961307.4118.5
1960312.1118.2
1959312.4119
1958306.8118.7
1957311.8117.6
1956308.2115.5
1955308.6116.6
1954311.3115.9
1953307.4116.4
1952305.5117.4
1951309.4116
1950304.7116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninMadagascar
2015328.6309.6–343.6142.8126.7–159.3
2016330.8309.8–342.5137.8122.2–156
2017330311.6–342.9143.1125.6–159.4
2018331.2315.3–345.2143.7125.9–160.3
2019328.1308–346.4143.4124.4–162.3
2020330.1308.7–348.1143.4125.2–159
2021332.7314.3–347.2145.4128.8–160.4
2022334.9314.5–347.9150.4133.4–165.2
2023331.8310.2–346.4149.7132.1–166
2024340.3323.4–351.1150.7131.4–167.9
2025335315.9–346.3149128.8–169.1
2026335.9313.3–353.1150.1127.4–169.9
2027335.8315.2–349.1151.8131.9–170.8
2028340.1321.3–351.9154.9137.7–173.1
2029338.6323.1–350.8155.7135.2–173.8
2030339.7321.7–350154.8136.4–171.3
2031343.8323.3–354.6158.1141.3–174.8
2032340.8318.1–351.4157.9136.2–178.4
2033343.1320.1–354.4158.9136.7–177.8
2034339.8319.2–352.6158.6140.6–179.6
2035342.7322–354.2161.1140.2–181.6
2036341.8320.2–355.2159.5139.4–177.1
2037344324.8–353.5165.8144.7–182.8
2038346.6334.6–355.1166.5149.3–183.9
2039344.5327.1–355.1164.1145.1–183.9
2040346327.6–355.8162.8144.5–184.8
2041345.5331.9–357.4165.8143.5–183.9
2042343.9328.1–358.9165.1144.3–188.4
2043345.7326.6–355.4165.6148.5–184.7
2044347.3329.7–358.8167.3145.8–187
2045342.6328–358.9166.9147.1–187.1
2046347.9332.2–357.8171.4149.6–193
2047349.6330.6–358.7171.7148.8–193.4
2048349.8334.6–358.1173.7151.7–193.6
2049350.7333.4–359.3172.2151.4–192.9
2050351334–360.2174.4150.5–193.6
2051350338.1–359.9175154.3–195.1
2052348.6332.5–359.5176153.8–196.7
2053351.3331.1–359.3176.6151.1–197.8
2054353.3336.1–360.3175.5152.8–199.2
2055350.7336.5–359.7179.2157.3–196.8
2056353.4337.9–362178.8156.5–199.7
2057355339.4–361.3177.7155.5–201
2058352.5338–360.1180.5158.9–202.4
2059354.9338.8–361.9181.8158.3–202.5
2060353.2337.9–360.9185.1159.5–207.8
2061353.8331.6–362180.6157.6–203.8
2062353.5334.3–361.4180.6157.1–205.6
2063355.1335.9–361.9185156.8–210.7
2064353.9338–363.1184.7159.1–205.7
2065355.3343.1–362.4183.8157.1–208.5
2066352.4339.8–360.1187.3159.6–211
2067355.7336.9–362.9184.9155.9–208.9
2068357.5341.2–363.6187.5161.7–211.1
2069353.4339.4–362.3187.5162–211.3
2070354.4341–361.7187.8160.4–213.6
2071356.4338.9–362.8190.7162.7–216.6
2072357.8343.2–363.8191.8168.2–215.8
2073356.1339.2–362.4191.4168.7–214.5
2074355.1339–362.4189.4162.6–217.7
2075356.2344.1–363.5189.3163.8–214.2
2076357343.3–362.6191.1164.3–214
2077357.3343.8–363.1191.9168.8–217.1
2078357.9344.2–363.3190.1166.5–219.3
2079357.3347.1–362.8190.1163.7–216.2
2080358.9344.5–365.3194.8167.7–219.4
2081357.1341.4–363.9191.7166.7–218.1
2082357.1341.9–362.2193.8169.2–216.7
2083358.4346.7–363.4194.6166.1–218.1
2084357.9343.1–364.6197.9170–219.7
2085359.5346–364.2197.8172.3–223.7
2086359.2344.3–364.1192.9169.6–220
2087357.6343.8–364.2195.2170.4–220.1
2088358.5341.9–364.2198.1165.1–225.5
2089357.1346.7–363.7196.3167.9–227.6
2090359.7343.6–363.8197.5172.4–228.1
2091358.6342.2–364.1199.2172.7–226.7
2092359.3342.5–364.9202.4170.7–226.6
2093360.3348–364.4202.1172.3–230.5
2094359347.2–364.5198.3168.6–224
2095358.6345.9–364.3200.7171.7–225.1
2096359.2344.5–365.5199.8173.6–226.3
2097358.4343.3–363.8201.2170–227.6
2098358.2346.2–363.8201.1170.7–227.2
2099358344.6–363.9198.3173.8–225.8
2100359.6348.3–364.5198.5173.3–227.7

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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