Ghana vs Guinea

Ghana vs Guinea: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 70.2 nights, or 1.24 times that in Guinea.

nights a year · CMIP6

Ghana vs Guinea: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 70.2 nights, or 1.24 times that in Guinea.
GhanaGuineaCMIP6 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 Ghana at 364.2 nights and Guinea at 345.3 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaGuinea
2014356.8286.6
2013355.8285.3
2012356.8292.9
2011355.7288.8
2010355.9285.2
2009353.2282.5
2008353.1279
2007353.8278.9
2006353.9278.8
2005352.7278.9
2004352.4276
2003353.8279.6
2002353.2277.1
2001354.9279.8
2000352.2273.1
1999350.2267
1998350.6268.4
1997350.5266.6
1996349.1260.4
1995348.9260.3
1994347.9255
1993347.1246.6
1992344.5242.4
1991348.4264.3
1990352.1266.4
1989347.9259.7
1988347.2256.9
1987346.6258.4
1986348.4259.9
1985347.2252.6
1984346.2249.6
1983344.8248.4
1982344.8250
1981346.8253.5
1980344.5251.2
1979346.4251.2
1978343.9252
1977345.9250.4
1976344.5244
1975345.3242.3
1974343247.2
1973344249.3
1972344.4246.1
1971342.7244.5
1970344249
1969342.5241.2
1968342241.5
1967342.7233.3
1966342.1237.7
1965342239.8
1964340231
1963342.8225.8
1962345.9246.9
1961344.1246
1960345.7250.5
1959344.6244.8
1958344.6245.6
1957344.1247.5
1956343.5242.4
1955342.5243.5
1954346.8250.2
1953344.5241.2
1952341.9240.3
1951343.8248.8
1950340.3240.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaGuinea
2015356341.5–361.7286.7259.9–308.5
2016356.5341.4–361.5288.9262.6–304
2017355.2341.3–361.6291.6265.5–311.4
2018355.8345.7–362.1295.6269.3–311.8
2019353.9343.6–362.3291.8266.8–313.6
2020356341.7–362.9291.2265.6–315.4
2021356.9345.4–362.7295.8268–316.3
2022358.2342–362.6299.9277.9–322.4
2023356.7344–361.7296273.8–318
2024358.6347.7–363.4302.3276.9–322.8
2025357.1347.2–361.9298.9275.2–322.4
2026357.2343.5–362.7302.5269.3–323.9
2027357.5344.3–362.4302.6276.3–320.2
2028359.5348.6–363.6308.2285.4–325.8
2029358.8349–363.1309.3280.6–327.2
2030359.6350.6–363.2305.5277.4–322.4
2031360.8351–364313.2282.2–329.6
2032359.7346.4–363.9307.7287.3–329.5
2033360.2349–364.1310.4282.4–337.8
2034359.4350.8–363.1308281.7–327.4
2035360.5350.8–364311.2284.9–333
2036360.9350.6–364.9312.8285.7–334.5
2037361350.5–364315.5291.8–331.1
2038361.4354.4–363.9317.9296.3–333.9
2039361.3352.3–364.5314.1291.6–336
2040361.5352.2–365.2316.1292.9–334.6
2041361.3351.7–364.3315.4296.5–335.7
2042360.6352.3–364.3316290.7–336.6
2043360.6351.8–364314.8291.1–332.7
2044361.6353.6–364.8319.8289.7–337.5
2045361.1353.2–364.4318.6296.4–339
2046361.9353.1–364.1321.4295.7–337
2047362.3350.3–364.5324.6297.9–342.8
2048362.1354.7–365.3324.8304.4–341.1
2049362.6354–364.4324.2302.4–340.2
2050362.2355.3–364.4322.4299.7–339.6
2051362.3355.7–364.6326.1300.4–342
2052362.1354.2–365324301.5–342.8
2053362.4354.1–364.5325.6298–345.3
2054362.9354.8–364.6329.5301.3–345.1
2055362.5355.1–364.5324.4305.3–342.4
2056363.3355.6–365.7329.6299.4–349.4
2057363.2355.9–364.8332.4301.5–351
2058363356.3–364.9328.8305.6–347.6
2059362.9356.2–364.8330.3310.8–350.5
2060362.9354.1–365.7328.3309.4–348.2
2061363.2354–364.9330.5304.6–352.8
2062363.1355–364.9327.7307.3–346.5
2063363.2355.5–364.9333.4311–349.1
2064363.3356.6–365.6330.9310.6–351.6
2065363.7357.8–364.9331.4309.7–350.6
2066362.7356.9–364.8331.8312.3–347.4
2067363.6354.1–364.9329.1304–348.6
2068364.1356.3–365.8335.4309.6–354.5
2069362.8356.3–364.9333.5313–351.4
2070363.3356.2–364.9331.7310.9–352.7
2071363.5355.3–364.9334.6315.6–352.4
2072364.1355.6–365.8338.3317–353.2
2073363.6355.1–364.8334309.7–351.6
2074363.4355.4–364.8330.2310.6–352
2075363.4357–364.9334312–352.2
2076363.8358.4–365.8338.4321.3–352.1
2077363.8357.8–365341.4318.4–355.6
2078363.9356.6–364.9338.1316.6–355.8
2079364.2358–365337.5318.8–355.3
2080364.3357.8–366339.8315.4–358
2081363.8357.1–365339.3318.2–356.6
2082363.5357.1–364.9337.9316.1–353.3
2083364.1358.3–365339.2320.8–355.8
2084364358.5–365.9340.5321–354.6
2085364.1358.3–365343.8319.9–358.1
2086364.1357.8–365342.2318.7–358.7
2087364.1357.9–365340.7319.9–357.6
2088364.2356.4–365.9341.2318.3–354.9
2089363.9357.6–365337.9318.6–354.8
2090364.2357.6–365341.1315–356
2091363.9357.6–364.9339.7319.7–355.5
2092364.4356.6–366339.7320.4–356.8
2093364.4358.2–365341.8325.1–356.2
2094364.1357.9–365342.2324–356.4
2095364358.2–365340.7323.5–359.3
2096363.9358–366343.2324–359.7
2097363.9356.3–364.9340.3313.8–353.8
2098363.7357.8–364.9339.9318.8–357
2099363.9358.6–365341.5324.6–355.9
2100364.2357.6–365345.3319.6–357.9

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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