Ghana vs Côte d’Ivoire

Ghana vs Côte d’Ivoire: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 15.2 nights, or 1.04 times that in Côte d’Ivoire.

Watch it change on the map

nights a year · CMIP6

Ghana vs Côte d’Ivoire: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 15.2 nights, or 1.04 times that in Côte d’Ivoire.
GhanaCôte d’IvoireCMIP6 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 Côte d’Ivoire at 359.6 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaCôte d’Ivoire
2014356.8341.6
2013355.8339.6
2012356.8342.3
2011355.7340.1
2010355.9338.6
2009353.2337.3
2008353.1337.1
2007353.8336.7
2006353.9336.6
2005352.7337.6
2004352.4334.8
2003353.8337.3
2002353.2336.1
2001354.9339.5
2000352.2334.6
1999350.2331.3
1998350.6332.7
1997350.5331.8
1996349.1329.9
1995348.9330.5
1994347.9327.9
1993347.1327.2
1992344.5322
1991348.4331.7
1990352.1334
1989347.9328.9
1988347.2327.5
1987346.6327.9
1986348.4329.2
1985347.2324.9
1984346.2325.8
1983344.8325.4
1982344.8324
1981346.8327
1980344.5323.1
1979346.4327.1
1978343.9324.2
1977345.9325.5
1976344.5321.7
1975345.3322.8
1974343322
1973344323.8
1972344.4322.4
1971342.7322
1970344322.2
1969342.5320.9
1968342319.8
1967342.7317.1
1966342.1318.4
1965342320
1964340314.7
1963342.8317.4
1962345.9324.1
1961344.1323.1
1960345.7325.5
1959344.6322.1
1958344.6322.4
1957344.1321.2
1956343.5321.2
1955342.5320.1
1954346.8325.6
1953344.5322.9
1952341.9319.4
1951343.8323.9
1950340.3317.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaCôte d’Ivoire
2015356341.5–361.7339.1321.9–350.7
2016356.5341.4–361.5339.9324.6–349.1
2017355.2341.3–361.6340.5322.4–349.6
2018355.8345.7–362.1341.6327.4–351.6
2019353.9343.6–362.3338.5323.6–350.3
2020356341.7–362.9340.6324.2–352.9
2021356.9345.4–362.7340.8325.2–353.8
2022358.2342–362.6344327.2–353.4
2023356.7344–361.7341.2327.2–352.6
2024358.6347.7–363.4344.9331–353.9
2025357.1347.2–361.9342.4327.8–352.1
2026357.2343.5–362.7342.3326.6–353.3
2027357.5344.3–362.4343.9325.6–352.9
2028359.5348.6–363.6347.4333.6–355.5
2029358.8349–363.1347.2332.4–355.2
2030359.6350.6–363.2347.2332.1–353.8
2031360.8351–364349.3333.1–357.2
2032359.7346.4–363.9347.8331.5–356.9
2033360.2349–364.1348332.6–360.4
2034359.4350.8–363.1346.6331.7–355.8
2035360.5350.8–364348.9333.7–357.8
2036360.9350.6–364.9350.5332.7–359.1
2037361350.5–364349.8334.6–357.5
2038361.4354.4–363.9351.3338.9–358.2
2039361.3352.3–364.5350.6333.1–358.9
2040361.5352.2–365.2351.1336.2–359.6
2041361.3351.7–364.3350.8335.9–358
2042360.6352.3–364.3349.8337.3–358.6
2043360.6351.8–364348.4336.1–357.8
2044361.6353.6–364.8350.3337.5–359.2
2045361.1353.2–364.4351339.5–359.5
2046361.9353.1–364.1351.7337.6–358.6
2047362.3350.3–364.5352335.4–360.1
2048362.1354.7–365.3351.6339.9–360.3
2049362.6354–364.4353339.6–360.9
2050362.2355.3–364.4352340.6–359.3
2051362.3355.7–364.6353340.5–360.5
2052362.1354.2–365352339–359.8
2053362.4354.1–364.5352.7339–360.5
2054362.9354.8–364.6354.7339.5–360.9
2055362.5355.1–364.5353.4343.4–360.8
2056363.3355.6–365.7355.9339.6–362.8
2057363.2355.9–364.8356.3343–362
2058363356.3–364.9354.3344.5–361.3
2059362.9356.2–364.8355343.4–361.7
2060362.9354.1–365.7354.6343.3–362.1
2061363.2354–364.9354.6341.3–362.5
2062363.1355–364.9354.4340.8–361.3
2063363.2355.5–364.9355.4345.2–362.1
2064363.3356.6–365.6356.1344.6–362.9
2065363.7357.8–364.9355.5346.4–362.4
2066362.7356.9–364.8355.2344.5–361.2
2067363.6354.1–364.9355.3341.4–361.8
2068364.1356.3–365.8357.3346.3–363.6
2069362.8356.3–364.9355344.3–362.7
2070363.3356.2–364.9355.6344.2–362.3
2071363.5355.3–364.9356.8344.7–362.9
2072364.1355.6–365.8357.7346.2–363.1
2073363.6355.1–364.8356.6345.2–362.2
2074363.4355.4–364.8354.4342.1–362.7
2075363.4357–364.9356343.7–362.5
2076363.8358.4–365.8357.4348.5–363.3
2077363.8357.8–365358.1347.7–362.8
2078363.9356.6–364.9357.3346.8–363.2
2079364.2358–365357.4346.6–363.6
2080364.3357.8–366359.1349.4–364.7
2081363.8357.1–365358.8347.5–363.5
2082363.5357.1–364.9357346.9–363.4
2083364.1358.3–365357.8349.5–363.1
2084364358.5–365.9358.8349.3–363.4
2085364.1358.3–365359.7350.1–364
2086364.1357.8–365359347.7–363.8
2087364.1357.9–365358.8348.8–364.1
2088364.2356.4–365.9358347.4–363.7
2089363.9357.6–365357.4347.3–363.5
2090364.2357.6–365358.8346.1–363.9
2091363.9357.6–364.9358.3349.1–363.3
2092364.4356.6–366359.2347.5–364
2093364.4358.2–365359349.8–363.8
2094364.1357.9–365359.3350.1–363.1
2095364358.2–365358.1349.7–364
2096363.9358–366358.8348.3–365.1
2097363.9356.3–364.9358.9342.5–362.5
2098363.7357.8–364.9357.8348.1–363.6
2099363.9358.6–365359.2349.5–363.2
2100364.2357.6–365359.6348.3–363.8

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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