Côte d’Ivoire vs Niger

Côte d’Ivoire vs Niger: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 120 nights, or 1.54 times that in Niger.

nights a year · CMIP6

Côte d’Ivoire vs Niger: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 120 nights, or 1.54 times that in Niger.
Côte d’IvoireNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Côte d’Ivoire 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 Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireNiger
2014341.6221.6
2013339.6216.1
2012342.3220.8
2011340.1220.1
2010338.6219.1
2009337.3217.2
2008337.1216.8
2007336.7216.9
2006336.6214.3
2005337.6213.6
2004334.8213.6
2003337.3215.5
2002336.1214.6
2001339.5213.4
2000334.6211.2
1999331.3210.4
1998332.7207.7
1997331.8211.5
1996329.9208.6
1995330.5208.3
1994327.9207.8
1993327.2202.6
1992322203.4
1991331.7209.4
1990334208.1
1989328.9206
1988327.5203
1987327.9204.9
1986329.2206.8
1985324.9203.9
1984325.8201.8
1983325.4200.5
1982324201.9
1981327204.3
1980323.1200.6
1979327.1200.5
1978324.2202
1977325.5203.8
1976321.7201.7
1975322.8199
1974322200.6
1973323.8202.6
1972322.4200.7
1971322200.8
1970322.2199.8
1969320.9196.1
1968319.8200.3
1967317.1196.6
1966318.4198.2
1965320199
1964314.7199.2
1963317.4196.7
1962324.1201.1
1961323.1198.2
1960325.5203.2
1959322.1201.6
1958322.4199.2
1957321.2201.1
1956321.2199.6
1955320.1199.7
1954325.6201.1
1953322.9196.5
1952319.4197.9
1951323.9199.8
1950317.8200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireNiger
2015339.1321.9–350.7218.8202.8–235.8
2016339.9324.6–349.1217.7201.8–230.6
2017340.5322.4–349.6222.4205.2–237.4
2018341.6327.4–351.6220.5206.3–238.8
2019338.5323.6–350.3219.1201.8–238.1
2020340.6324.2–352.9220.9206.9–234.7
2021340.8325.2–353.8222.8208.2–240.2
2022344327.2–353.4226.3209.7–239.2
2023341.2327.2–352.6223.2206.6–238.4
2024344.9331–353.9228.4214.3–242.9
2025342.4327.8–352.1226.7211.2–241
2026342.3326.6–353.3226.3210–243.1
2027343.9325.6–352.9228.5209.9–241.1
2028347.4333.6–355.5227.1211.9–240.2
2029347.2332.4–355.2230.4213.3–247.1
2030347.2332.1–353.8226.4211.6–242.2
2031349.3333.1–357.2230.1210.8–247.1
2032347.8331.5–356.9228.7212.3–241
2033348332.6–360.4229.9214.9–245.4
2034346.6331.7–355.8229.5212.1–244.9
2035348.9333.7–357.8232.3217.5–248
2036350.5332.7–359.1230.2213.7–244.6
2037349.8334.6–357.5233.2215.1–246.5
2038351.3338.9–358.2234.3218.2–249.7
2039350.6333.1–358.9231214.2–247.1
2040351.1336.2–359.6230.8214.8–247.5
2041350.8335.9–358232.6218.6–252.9
2042349.8337.3–358.6233.8216.2–250.5
2043348.4336.1–357.8232.5217.8–245.8
2044350.3337.5–359.2233.8218.2–250.1
2045351339.5–359.5233.6218.1–249.7
2046351.7337.6–358.6234.3217–250.2
2047352335.4–360.1238.4224.3–253.1
2048351.6339.9–360.3238221.4–254
2049353339.6–360.9237.7217.4–253
2050352340.6–359.3238.2220.7–254.5
2051353340.5–360.5236.3220.6–254.7
2052352339–359.8239.5224.3–255.8
2053352.7339–360.5236.3223.9–255.6
2054354.7339.5–360.9239.4220.2–257.9
2055353.4343.4–360.8238.6223.7–254.7
2056355.9339.6–362.8239214.7–260.3
2057356.3343–362240.4223–256.3
2058354.3344.5–361.3238.2220.2–255.7
2059355343.4–361.7243.9224.6–262.7
2060354.6343.3–362.1239.8222.6–260
2061354.6341.3–362.5242.5224.9–258.5
2062354.4340.8–361.3241.6222.4–259.8
2063355.4345.2–362.1241.3220.9–255.2
2064356.1344.6–362.9244.4225.9–259.5
2065355.5346.4–362.4242.8226.5–262.4
2066355.2344.5–361.2245.6227–263.5
2067355.3341.4–361.8240.7224.9–262
2068357.3346.3–363.6244224.3–265.4
2069355344.3–362.7243.9225.5–261.6
2070355.6344.2–362.3243.1225.6–261.3
2071356.8344.7–362.9246.1230.3–264
2072357.7346.2–363.1247.9229.9–263.7
2073356.6345.2–362.2243.4225.4–262.8
2074354.4342.1–362.7243.2224.4–264.6
2075356343.7–362.5244.3230.2–263.3
2076357.4348.5–363.3246.5228.5–266.6
2077358.1347.7–362.8250.1232.3–267.4
2078357.3346.8–363.2249.2230.8–264.5
2079357.4346.6–363.6244.4228.7–263.8
2080359.1349.4–364.7248.8230.4–267
2081358.8347.5–363.5247227.8–268.1
2082357346.9–363.4247230.6–264.4
2083357.8349.5–363.1247.3230.7–267.5
2084358.8349.3–363.4247.7229.4–265.2
2085359.7350.1–364248.9227–264.2
2086359347.7–363.8250.4230.9–269.5
2087358.8348.8–364.1245.8226.2–266.9
2088358347.4–363.7248.3226.7–271.1
2089357.4347.3–363.5251.9232.5–269.5
2090358.8346.1–363.9249.7227.7–267.4
2091358.3349.1–363.3248.9230.5–272.2
2092359.2347.5–364251229.8–274
2093359349.8–363.8249.9234.8–267
2094359.3350.1–363.1252.2234–267.5
2095358.1349.7–364251.1233–270.7
2096358.8348.3–365.1250.8234.8–270.4
2097358.9342.5–362.5250.2227.8–270.8
2098357.8348.1–363.6250.1228.1–268.5
2099359.2349.5–363.2251.9232.2–268.2
2100359.6348.3–363.8251.1234.5–271.5

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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