Côte d’Ivoire vs Liberia

Côte d’Ivoire vs Liberia: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 357.2 nights in Liberia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Liberia, by 15.6 nights, or 1.05 times that in Côte d’Ivoire.

nights a year · CMIP6

Côte d’Ivoire vs Liberia: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 357.2 nights in Liberia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Liberia, by 15.6 nights, or 1.05 times that in Côte d’Ivoire.
Côte d’IvoireLiberiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Liberia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Côte d’Ivoire at 359.6 nights and Liberia at 364.4 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireLiberia
2014341.6357.2
2013339.6356.6
2012342.3358
2011340.1357.2
2010338.6356.4
2009337.3355.4
2008337.1353.3
2007336.7353
2006336.6354.3
2005337.6354.5
2004334.8353.4
2003337.3353.4
2002336.1351.8
2001339.5354.5
2000334.6352.3
1999331.3351.4
1998332.7351.8
1997331.8349.2
1996329.9348.7
1995330.5348.6
1994327.9346.6
1993327.2343.7
1992322339.5
1991331.7348.8
1990334351.1
1989328.9346.7
1988327.5347.8
1987327.9346.5
1986329.2348.1
1985324.9342.4
1984325.8344
1983325.4344
1982324344.1
1981327345.3
1980323.1343.2
1979327.1344.9
1978324.2342.6
1977325.5343.5
1976321.7341.5
1975322.8339.9
1974322341.5
1973323.8344.1
1972322.4340.5
1971322341.1
1970322.2342.3
1969320.9340.1
1968319.8339.7
1967317.1334.5
1966318.4337.4
1965320337.8
1964314.7333.1
1963317.4331.9
1962324.1343.5
1961323.1341.9
1960325.5343.6
1959322.1340.9
1958322.4341.1
1957321.2338.5
1956321.2340.2
1955320.1336.6
1954325.6343.9
1953322.9339.9
1952319.4337.5
1951323.9341.8
1950317.8336.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireLiberia
2015339.1321.9–350.7356.2342.5–361.9
2016339.9324.6–349.1356345.1–361.7
2017340.5322.4–349.6357.1341.5–362.1
2018341.6327.4–351.6357.9346.2–362.5
2019338.5323.6–350.3356.4345.2–361.8
2020340.6324.2–352.9357.8344.8–363.3
2021340.8325.2–353.8358.8346.9–363
2022344327.2–353.4359.3350–363.3
2023341.2327.2–352.6357.6347.7–363
2024344.9331–353.9359.6353.4–363.7
2025342.4327.8–352.1358.9349.6–363.1
2026342.3326.6–353.3357.9347.6–362.5
2027343.9325.6–352.9359.1347.1–362.8
2028347.4333.6–355.5360.2352.8–363.4
2029347.2332.4–355.2360.4351–363.5
2030347.2332.1–353.8360.3348.7–363.2
2031349.3333.1–357.2361.3352–363.9
2032347.8331.5–356.9361.2351.4–364.8
2033348332.6–360.4361.2351.4–364.1
2034346.6331.7–355.8360.5352.5–363.1
2035348.9333.7–357.8361.1352.4–364
2036350.5332.7–359.1361.8348.9–364.9
2037349.8334.6–357.5361.7351.6–364.1
2038351.3338.9–358.2362.1353.8–364.2
2039350.6333.1–358.9362.3352.9–364.2
2040351.1336.2–359.6362.1353.4–364.9
2041350.8335.9–358361.9349.6–364.4
2042349.8337.3–358.6361.3354.1–364.2
2043348.4336.1–357.8361.4354.1–364
2044350.3337.5–359.2361.9353.7–364.8
2045351339.5–359.5361.9354.7–364.2
2046351.7337.6–358.6361.9353.3–364.4
2047352335.4–360.1362.6352.3–364.5
2048351.6339.9–360.3362.1355.9–365
2049353339.6–360.9362.5356.3–364.4
2050352340.6–359.3362.4355.9–364.3
2051353340.5–360.5362.8354.5–364.4
2052352339–359.8362.4355.5–365.3
2053352.7339–360.5362.6354.4–364.6
2054354.7339.5–360.9362.6355.1–364.7
2055353.4343.4–360.8362.9357.2–364.5
2056355.9339.6–362.8363.5355.3–365.4
2057356.3343–362363.8356–364.9
2058354.3344.5–361.3363.3357.1–364.7
2059355343.4–361.7363.5357.8–364.7
2060354.6343.3–362.1363.4356.7–365.6
2061354.6341.3–362.5363.1355.3–364.9
2062354.4340.8–361.3363.1355.7–364.6
2063355.4345.2–362.1363.9357–364.7
2064356.1344.6–362.9363.5357.9–365.6
2065355.5346.4–362.4363.9357.9–364.6
2066355.2344.5–361.2363.8357.6–364.7
2067355.3341.4–361.8363.4357.4–364.7
2068357.3346.3–363.6364.2357.3–365.8
2069355344.3–362.7363.2356.7–364.8
2070355.6344.2–362.3363.8357.5–364.8
2071356.8344.7–362.9363.7356.5–364.9
2072357.7346.2–363.1363.7358.1–365.6
2073356.6345.2–362.2363.9356.7–364.8
2074354.4342.1–362.7363.5356.3–364.8
2075356343.7–362.5363.5357.2–364.9
2076357.4348.5–363.3363.9358.4–365.7
2077358.1347.7–362.8363.9358.6–364.8
2078357.3346.8–363.2363.9357.5–364.8
2079357.4346.6–363.6363.9357.5–364.8
2080359.1349.4–364.7364.3358–365.8
2081358.8347.5–363.5364.1357.9–364.9
2082357346.9–363.4364.2358.1–364.9
2083357.8349.5–363.1364358.2–364.9
2084358.8349.3–363.4364.3358.7–365.8
2085359.7350.1–364364.4358.4–364.9
2086359347.7–363.8364.3357.7–364.9
2087358.8348.8–364.1364.1358.3–364.9
2088358347.4–363.7364.1358.4–365.7
2089357.4347.3–363.5363.6357.4–364.9
2090358.8346.1–363.9364.2358.1–364.9
2091358.3349.1–363.3364.4358.4–364.9
2092359.2347.5–364364.2358.6–365.8
2093359349.8–363.8364.2358.8–364.8
2094359.3350.1–363.1364.2358.9–364.8
2095358.1349.7–364364.3358.7–364.9
2096358.8348.3–365.1364.5358.5–366
2097358.9342.5–362.5364.1357.7–364.9
2098357.8348.1–363.6364.1358.3–364.9
2099359.2349.5–363.2364.3358.7–364.9
2100359.6348.3–363.8364.4358.4–364.9

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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