Ghana vs Togo

Ghana vs Togo: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 342.8 nights in Togo, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 14 nights, or 1.04 times that in Togo.

nights a year · CMIP6

Ghana vs Togo: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 342.8 nights in Togo, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 14 nights, or 1.04 times that in Togo.
GhanaTogoCMIP6 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 Togo at 362.6 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaTogo
2014356.8342.8
2013355.8340.1
2012356.8343.2
2011355.7340.9
2010355.9340.4
2009353.2335.6
2008353.1337.3
2007353.8337.6
2006353.9337.2
2005352.7335.1
2004352.4333.5
2003353.8338.3
2002353.2335
2001354.9338.9
2000352.2333.6
1999350.2329.5
1998350.6329.5
1997350.5331.9
1996349.1326.6
1995348.9327.9
1994347.9325
1993347.1322.2
1992344.5319.2
1991348.4327.6
1990352.1331.3
1989347.9325.3
1988347.2325.7
1987346.6324.4
1986348.4328.4
1985347.2324.4
1984346.2320.8
1983344.8320.1
1982344.8319.6
1981346.8324.8
1980344.5320.3
1979346.4323.3
1978343.9320.5
1977345.9323.4
1976344.5318.5
1975345.3319.2
1974343317.6
1973344320.9
1972344.4320.1
1971342.7316.5
1970344318.5
1969342.5315.9
1968342314.6
1967342.7314.1
1966342.1315.8
1965342315.1
1964340312
1963342.8313.5
1962345.9320.9
1961344.1317.3
1960345.7322.3
1959344.6320
1958344.6318.1
1957344.1319.8
1956343.5316.4
1955342.5318.7
1954346.8323
1953344.5317.3
1952341.9315.6
1951343.8320.8
1950340.3314.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaTogo
2015356341.5–361.7339.6320.8–352.3
2016356.5341.4–361.5342.9322.9–352.8
2017355.2341.3–361.6340.8323–350.5
2018355.8345.7–362.1341.9325.2–353.6
2019353.9343.6–362.3339.6321.5–353.6
2020356341.7–362.9341.4323.5–354.4
2021356.9345.4–362.7342.9324.5–356.1
2022358.2342–362.6346.1324.6–355
2023356.7344–361.7343.2323.6–354.5
2024358.6347.7–363.4347.9332.3–355.9
2025357.1347.2–361.9344.6328.5–354.1
2026357.2343.5–362.7346.5325.4–356.2
2027357.5344.3–362.4345.4325.5–355.1
2028359.5348.6–363.6350.3332.1–358.1
2029358.8349–363.1348.9332.8–357.4
2030359.6350.6–363.2349.7334.1–357.9
2031360.8351–364351.8336.5–360.3
2032359.7346.4–363.9349.3329.1–357.5
2033360.2349–364.1351.7330.6–360.5
2034359.4350.8–363.1349.1333.8–358.3
2035360.5350.8–364352.3333.8–359.3
2036360.9350.6–364.9351.1336.3–360.6
2037361350.5–364352338.3–359.3
2038361.4354.4–363.9354.2344.7–360.2
2039361.3352.3–364.5354.5336.4–361
2040361.5352.2–365.2353.8338.7–361.7
2041361.3351.7–364.3354340.7–361
2042360.6352.3–364.3352.5339.6–361.3
2043360.6351.8–364351.6338.7–359.4
2044361.6353.6–364.8354.5342.4–361.6
2045361.1353.2–364.4351.8339.1–362.2
2046361.9353.1–364.1355.8340.9–361.5
2047362.3350.3–364.5355.9338.6–362.7
2048362.1354.7–365.3355.6344.9–361.9
2049362.6354–364.4356.7343.1–362.2
2050362.2355.3–364.4356.9346.1–362.5
2051362.3355.7–364.6356.8347.1–362.4
2052362.1354.2–365355.4343.1–362.5
2053362.4354.1–364.5356342–362.4
2054362.9354.8–364.6358.4343.9–363.1
2055362.5355.1–364.5356.9345.6–362.5
2056363.3355.6–365.7359.2347.6–364.7
2057363.2355.9–364.8359346.2–363.4
2058363356.3–364.9358.6347.4–362.9
2059362.9356.2–364.8358.8346.1–363.8
2060362.9354.1–365.7358.8346.2–363.8
2061363.2354–364.9359.5342–364.1
2062363.1355–364.9358.7345.2–363.3
2063363.2355.5–364.9358.9344.4–363.2
2064363.3356.6–365.6359.6349.2–364.7
2065363.7357.8–364.9360349.9–364
2066362.7356.9–364.8358.3349.6–362.9
2067363.6354.1–364.9359.9344.1–364.2
2068364.1356.3–365.8361.6350.4–364.7
2069362.8356.3–364.9358.5347.5–364.3
2070363.3356.2–364.9359.3350.2–364.4
2071363.5355.3–364.9360.1345.6–364.2
2072364.1355.6–365.8360.7349.9–365.2
2073363.6355.1–364.8360.1347.9–364.1
2074363.4355.4–364.8359.6345.9–364.2
2075363.4357–364.9360.6350.2–364.6
2076363.8358.4–365.8360.5352.6–364.7
2077363.8357.8–365360.7352.3–364.5
2078363.9356.6–364.9361.3351.2–364.6
2079364.2358–365361.1352–364.8
2080364.3357.8–366362.5353.2–365.7
2081363.8357.1–365361.2350.6–364.7
2082363.5357.1–364.9361349.7–364.3
2083364.1358.3–365361.5352.4–364.4
2084364358.5–365.9361.4351.1–365.2
2085364.1358.3–365361.8354.1–364.9
2086364.1357.8–365362.3351.6–364.8
2087364.1357.9–365361.6351.2–364.9
2088364.2356.4–365.9361.9349.1–365.2
2089363.9357.6–365360.8352.6–364.9
2090364.2357.6–365362.2350.5–364.8
2091363.9357.6–364.9361.7351.5–364.8
2092364.4356.6–366362.7349.1–365.6
2093364.4358.2–365362.8354.3–364.9
2094364.1357.9–365362.2354.7–364.8
2095364358.2–365361.6354.2–364.9
2096363.9358–366362.4353.6–365.9
2097363.9356.3–364.9361.3348.8–364.7
2098363.7357.8–364.9361.6351.3–364.6
2099363.9358.6–365360.9353.7–364.7
2100364.2357.6–365362.6353.8–364.9

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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