Chad vs Côte d’Ivoire

Chad vs Côte d’Ivoire: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 104 nights, or 1.44 times that in Chad.

Watch it change on the map

nights a year · CMIP6

Chad vs Côte d’Ivoire: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 341.6 nights in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 104 nights, or 1.44 times that in Chad.
ChadCôte d’IvoireCMIP6 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 Chad at 273.4 nights and Côte d’Ivoire at 359.6 nights in 2100.

Every year

nights a year · CMIP6

YearChadCôte d’Ivoire
2014237.6341.6
2013231.8339.6
2012237.9342.3
2011236.2340.1
2010234.8338.6
2009231.5337.3
2008230.8337.1
2007229.6336.7
2006229.5336.6
2005228.8337.6
2004228334.8
2003230.9337.3
2002229.8336.1
2001230.2339.5
2000226.4334.6
1999225.1331.3
1998222.9332.7
1997226.3331.8
1996222.4329.9
1995222.3330.5
1994221.4327.9
1993215.6327.2
1992214.4322
1991223331.7
1990222.8334
1989220328.9
1988219.9327.5
1987218.4327.9
1986222.6329.2
1985218324.9
1984216.1325.8
1983213.7325.4
1982214.8324
1981218.1327
1980215323.1
1979214.5327.1
1978216324.2
1977216.2325.5
1976215.7321.7
1975212.2322.8
1974213.8322
1973216.9323.8
1972215.2322.4
1971212.6322
1970214.3322.2
1969210.3320.9
1968212.8319.8
1967209.1317.1
1966210.8318.4
1965210.3320
1964210.6314.7
1963207.5317.4
1962214.7324.1
1961212.3323.1
1960217.3325.5
1959212.5322.1
1958213.8322.4
1957214321.2
1956213.4321.2
1955213.8320.1
1954214.3325.6
1953211.3322.9
1952213.1319.4
1951213.8323.9
1950213.1317.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadCôte d’Ivoire
2015235.8215.6–253.1339.1321.9–350.7
2016233.3212.8–247.7339.9324.6–349.1
2017237.6218.6–253.1340.5322.4–349.6
2018235.8217.8–254.4341.6327.4–351.6
2019235.2213.3–255.6338.5323.6–350.3
2020237217.1–255340.6324.2–352.9
2021239.6220–258.2340.8325.2–353.8
2022240.4223.1–258.2344327.2–353.4
2023239.1216.7–256.4341.2327.2–352.6
2024246.7227.6–261.2344.9331–353.9
2025243.2223.9–259.4342.4327.8–352.1
2026242.9220.8–260.9342.3326.6–353.3
2027242.3221.2–258.6343.9325.6–352.9
2028242.7225.4–259.7347.4333.6–355.5
2029246.3227.2–264.1347.2332.4–355.2
2030244.7225.8–261.1347.2332.1–353.8
2031246.8224.7–264.8349.3333.1–357.2
2032244.3226.5–260.2347.8331.5–356.9
2033247.6228.7–266.1348332.6–360.4
2034247.8224.9–263.9346.6331.7–355.8
2035250.9230.3–268.9348.9333.7–357.8
2036246.7226.3–264.1350.5332.7–359.1
2037249.9230.3–266.2349.8334.6–357.5
2038252.4233.4–268.7351.3338.9–358.2
2039250230.8–267.5350.6333.1–358.9
2040248.9227–266.8351.1336.2–359.6
2041252230–270.9350.8335.9–358
2042250.4232–271.8349.8337.3–358.6
2043251.1232–265.5348.4336.1–357.8
2044251.4230.2–271.3350.3337.5–359.2
2045252.3230.8–270.2351339.5–359.5
2046253.6231.9–272.3351.7337.6–358.6
2047254.6236.7–274.4352335.4–360.1
2048254.4236.6–273.6351.6339.9–360.3
2049256235.4–272353339.6–360.9
2050255.9234.4–276.1352340.6–359.3
2051256.1237.8–275.9353340.5–360.5
2052258.3237.1–273.9352339–359.8
2053255.9234.9–275352.7339–360.5
2054260.6233–279.6354.7339.5–360.9
2055259.9239.1–276.6353.4343.4–360.8
2056259.4233.3–279355.9339.6–362.8
2057262.5240.8–278.4356.3343–362
2058259.3239.2–275.5354.3344.5–361.3
2059263.7240.5–282.9355343.4–361.7
2060259.3239.3–280354.6343.3–362.1
2061261.1240.7–281.2354.6341.3–362.5
2062261.4238.1–281.4354.4340.8–361.3
2063263.4239.6–278.6355.4345.2–362.1
2064263.9244.3–283.2356.1344.6–362.9
2065263.7247.7–283.1355.5346.4–362.4
2066265.2245.7–285.6355.2344.5–361.2
2067262.5242.8–283.8355.3341.4–361.8
2068266.8241.4–286.3357.3346.3–363.6
2069262.7242.8–283.1355344.3–362.7
2070264.9243.5–284.9355.6344.2–362.3
2071267.9248.5–286356.8344.7–362.9
2072269.2246.8–285.6357.7346.2–363.1
2073263.7241.6–284.2356.6345.2–362.2
2074264239.7–285.1354.4342.1–362.7
2075266.5246.7–287356343.7–362.5
2076267.8245.8–285.7357.4348.5–363.3
2077269.5247.1–290.8358.1347.7–362.8
2078268.6247.9–286.4357.3346.8–363.2
2079266.4247.9–286.3357.4346.6–363.6
2080269.4249.6–289.4359.1349.4–364.7
2081267.4247.1–291.8358.8347.5–363.5
2082266.7249.2–286.8357346.9–363.4
2083269.8248.9–287.6357.8349.5–363.1
2084268.4243.4–289.7358.8349.3–363.4
2085270.8251.2–287.4359.7350.1–364
2086270.6249.6–291.5359347.7–363.8
2087266.3246.2–289.2358.8348.8–364.1
2088269.2245.6–290.7358347.4–363.7
2089270.4251.1–289357.4347.3–363.5
2090270.9245.5–291.1358.8346.1–363.9
2091271.3246.1–293.5358.3349.1–363.3
2092270.6248.3–291.9359.2347.5–364
2093272.4254.3–289.2359349.8–363.8
2094274254.8–290.2359.3350.1–363.1
2095273.5251.8–291.6358.1349.7–364
2096273.9252.1–292.5358.8348.3–365.1
2097270.8246–292.1358.9342.5–362.5
2098271.1248.3–290.6357.8348.1–363.6
2099271.8250.5–291.1359.2349.5–363.2
2100273.4254–291.9359.6348.3–363.8

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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