Benin vs Ghana

Benin vs Ghana: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 22.9 nights, or 1.07 times that in Benin.

nights a year · CMIP6

Benin vs Ghana: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 22.9 nights, or 1.07 times that in Benin.
BeninGhanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana 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 Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearBeninGhana
2014333.9356.8
2013328.9355.8
2012332.6356.8
2011330.1355.7
2010329.8355.9
2009325.2353.2
2008326.4353.1
2007325.2353.8
2006326.1353.9
2005324.3352.7
2004322.7352.4
2003327.4353.8
2002324353.2
2001329.4354.9
2000322.4352.2
1999317.9350.2
1998319.1350.6
1997320.6350.5
1996315.5349.1
1995316.5348.9
1994314.3347.9
1993313.5347.1
1992309.8344.5
1991316.1348.4
1990320.6352.1
1989313.1347.9
1988313.6347.2
1987313.3346.6
1986317.1348.4
1985314.6347.2
1984311.8346.2
1983308.8344.8
1982309.3344.8
1981314.8346.8
1980310.2344.5
1979311.9346.4
1978310343.9
1977314.4345.9
1976309.1344.5
1975307.3345.3
1974307.9343
1973311.8344
1972310.1344.4
1971305.9342.7
1970309.7344
1969305.9342.5
1968305.6342
1967305.6342.7
1966305.4342.1
1965306.1342
1964304.6340
1963304.6342.8
1962311.6345.9
1961307.4344.1
1960312.1345.7
1959312.4344.6
1958306.8344.6
1957311.8344.1
1956308.2343.5
1955308.6342.5
1954311.3346.8
1953307.4344.5
1952305.5341.9
1951309.4343.8
1950304.7340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninGhana
2015328.6309.6–343.6356341.5–361.7
2016330.8309.8–342.5356.5341.4–361.5
2017330311.6–342.9355.2341.3–361.6
2018331.2315.3–345.2355.8345.7–362.1
2019328.1308–346.4353.9343.6–362.3
2020330.1308.7–348.1356341.7–362.9
2021332.7314.3–347.2356.9345.4–362.7
2022334.9314.5–347.9358.2342–362.6
2023331.8310.2–346.4356.7344–361.7
2024340.3323.4–351.1358.6347.7–363.4
2025335315.9–346.3357.1347.2–361.9
2026335.9313.3–353.1357.2343.5–362.7
2027335.8315.2–349.1357.5344.3–362.4
2028340.1321.3–351.9359.5348.6–363.6
2029338.6323.1–350.8358.8349–363.1
2030339.7321.7–350359.6350.6–363.2
2031343.8323.3–354.6360.8351–364
2032340.8318.1–351.4359.7346.4–363.9
2033343.1320.1–354.4360.2349–364.1
2034339.8319.2–352.6359.4350.8–363.1
2035342.7322–354.2360.5350.8–364
2036341.8320.2–355.2360.9350.6–364.9
2037344324.8–353.5361350.5–364
2038346.6334.6–355.1361.4354.4–363.9
2039344.5327.1–355.1361.3352.3–364.5
2040346327.6–355.8361.5352.2–365.2
2041345.5331.9–357.4361.3351.7–364.3
2042343.9328.1–358.9360.6352.3–364.3
2043345.7326.6–355.4360.6351.8–364
2044347.3329.7–358.8361.6353.6–364.8
2045342.6328–358.9361.1353.2–364.4
2046347.9332.2–357.8361.9353.1–364.1
2047349.6330.6–358.7362.3350.3–364.5
2048349.8334.6–358.1362.1354.7–365.3
2049350.7333.4–359.3362.6354–364.4
2050351334–360.2362.2355.3–364.4
2051350338.1–359.9362.3355.7–364.6
2052348.6332.5–359.5362.1354.2–365
2053351.3331.1–359.3362.4354.1–364.5
2054353.3336.1–360.3362.9354.8–364.6
2055350.7336.5–359.7362.5355.1–364.5
2056353.4337.9–362363.3355.6–365.7
2057355339.4–361.3363.2355.9–364.8
2058352.5338–360.1363356.3–364.9
2059354.9338.8–361.9362.9356.2–364.8
2060353.2337.9–360.9362.9354.1–365.7
2061353.8331.6–362363.2354–364.9
2062353.5334.3–361.4363.1355–364.9
2063355.1335.9–361.9363.2355.5–364.9
2064353.9338–363.1363.3356.6–365.6
2065355.3343.1–362.4363.7357.8–364.9
2066352.4339.8–360.1362.7356.9–364.8
2067355.7336.9–362.9363.6354.1–364.9
2068357.5341.2–363.6364.1356.3–365.8
2069353.4339.4–362.3362.8356.3–364.9
2070354.4341–361.7363.3356.2–364.9
2071356.4338.9–362.8363.5355.3–364.9
2072357.8343.2–363.8364.1355.6–365.8
2073356.1339.2–362.4363.6355.1–364.8
2074355.1339–362.4363.4355.4–364.8
2075356.2344.1–363.5363.4357–364.9
2076357343.3–362.6363.8358.4–365.8
2077357.3343.8–363.1363.8357.8–365
2078357.9344.2–363.3363.9356.6–364.9
2079357.3347.1–362.8364.2358–365
2080358.9344.5–365.3364.3357.8–366
2081357.1341.4–363.9363.8357.1–365
2082357.1341.9–362.2363.5357.1–364.9
2083358.4346.7–363.4364.1358.3–365
2084357.9343.1–364.6364358.5–365.9
2085359.5346–364.2364.1358.3–365
2086359.2344.3–364.1364.1357.8–365
2087357.6343.8–364.2364.1357.9–365
2088358.5341.9–364.2364.2356.4–365.9
2089357.1346.7–363.7363.9357.6–365
2090359.7343.6–363.8364.2357.6–365
2091358.6342.2–364.1363.9357.6–364.9
2092359.3342.5–364.9364.4356.6–366
2093360.3348–364.4364.4358.2–365
2094359347.2–364.5364.1357.9–365
2095358.6345.9–364.3364358.2–365
2096359.2344.5–365.5363.9358–366
2097358.4343.3–363.8363.9356.3–364.9
2098358.2346.2–363.8363.7357.8–364.9
2099358344.6–363.9363.9358.6–365
2100359.6348.3–364.5364.2357.6–365

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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