Chad vs Ghana

Chad vs Ghana: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 119.2 nights, or 1.5 times that in Chad.

nights a year · CMIP6

Chad vs Ghana: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 119.2 nights, or 1.5 times that in Chad.
ChadGhanaCMIP6 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 Chad at 273.4 nights and Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearChadGhana
2014237.6356.8
2013231.8355.8
2012237.9356.8
2011236.2355.7
2010234.8355.9
2009231.5353.2
2008230.8353.1
2007229.6353.8
2006229.5353.9
2005228.8352.7
2004228352.4
2003230.9353.8
2002229.8353.2
2001230.2354.9
2000226.4352.2
1999225.1350.2
1998222.9350.6
1997226.3350.5
1996222.4349.1
1995222.3348.9
1994221.4347.9
1993215.6347.1
1992214.4344.5
1991223348.4
1990222.8352.1
1989220347.9
1988219.9347.2
1987218.4346.6
1986222.6348.4
1985218347.2
1984216.1346.2
1983213.7344.8
1982214.8344.8
1981218.1346.8
1980215344.5
1979214.5346.4
1978216343.9
1977216.2345.9
1976215.7344.5
1975212.2345.3
1974213.8343
1973216.9344
1972215.2344.4
1971212.6342.7
1970214.3344
1969210.3342.5
1968212.8342
1967209.1342.7
1966210.8342.1
1965210.3342
1964210.6340
1963207.5342.8
1962214.7345.9
1961212.3344.1
1960217.3345.7
1959212.5344.6
1958213.8344.6
1957214344.1
1956213.4343.5
1955213.8342.5
1954214.3346.8
1953211.3344.5
1952213.1341.9
1951213.8343.8
1950213.1340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadGhana
2015235.8215.6–253.1356341.5–361.7
2016233.3212.8–247.7356.5341.4–361.5
2017237.6218.6–253.1355.2341.3–361.6
2018235.8217.8–254.4355.8345.7–362.1
2019235.2213.3–255.6353.9343.6–362.3
2020237217.1–255356341.7–362.9
2021239.6220–258.2356.9345.4–362.7
2022240.4223.1–258.2358.2342–362.6
2023239.1216.7–256.4356.7344–361.7
2024246.7227.6–261.2358.6347.7–363.4
2025243.2223.9–259.4357.1347.2–361.9
2026242.9220.8–260.9357.2343.5–362.7
2027242.3221.2–258.6357.5344.3–362.4
2028242.7225.4–259.7359.5348.6–363.6
2029246.3227.2–264.1358.8349–363.1
2030244.7225.8–261.1359.6350.6–363.2
2031246.8224.7–264.8360.8351–364
2032244.3226.5–260.2359.7346.4–363.9
2033247.6228.7–266.1360.2349–364.1
2034247.8224.9–263.9359.4350.8–363.1
2035250.9230.3–268.9360.5350.8–364
2036246.7226.3–264.1360.9350.6–364.9
2037249.9230.3–266.2361350.5–364
2038252.4233.4–268.7361.4354.4–363.9
2039250230.8–267.5361.3352.3–364.5
2040248.9227–266.8361.5352.2–365.2
2041252230–270.9361.3351.7–364.3
2042250.4232–271.8360.6352.3–364.3
2043251.1232–265.5360.6351.8–364
2044251.4230.2–271.3361.6353.6–364.8
2045252.3230.8–270.2361.1353.2–364.4
2046253.6231.9–272.3361.9353.1–364.1
2047254.6236.7–274.4362.3350.3–364.5
2048254.4236.6–273.6362.1354.7–365.3
2049256235.4–272362.6354–364.4
2050255.9234.4–276.1362.2355.3–364.4
2051256.1237.8–275.9362.3355.7–364.6
2052258.3237.1–273.9362.1354.2–365
2053255.9234.9–275362.4354.1–364.5
2054260.6233–279.6362.9354.8–364.6
2055259.9239.1–276.6362.5355.1–364.5
2056259.4233.3–279363.3355.6–365.7
2057262.5240.8–278.4363.2355.9–364.8
2058259.3239.2–275.5363356.3–364.9
2059263.7240.5–282.9362.9356.2–364.8
2060259.3239.3–280362.9354.1–365.7
2061261.1240.7–281.2363.2354–364.9
2062261.4238.1–281.4363.1355–364.9
2063263.4239.6–278.6363.2355.5–364.9
2064263.9244.3–283.2363.3356.6–365.6
2065263.7247.7–283.1363.7357.8–364.9
2066265.2245.7–285.6362.7356.9–364.8
2067262.5242.8–283.8363.6354.1–364.9
2068266.8241.4–286.3364.1356.3–365.8
2069262.7242.8–283.1362.8356.3–364.9
2070264.9243.5–284.9363.3356.2–364.9
2071267.9248.5–286363.5355.3–364.9
2072269.2246.8–285.6364.1355.6–365.8
2073263.7241.6–284.2363.6355.1–364.8
2074264239.7–285.1363.4355.4–364.8
2075266.5246.7–287363.4357–364.9
2076267.8245.8–285.7363.8358.4–365.8
2077269.5247.1–290.8363.8357.8–365
2078268.6247.9–286.4363.9356.6–364.9
2079266.4247.9–286.3364.2358–365
2080269.4249.6–289.4364.3357.8–366
2081267.4247.1–291.8363.8357.1–365
2082266.7249.2–286.8363.5357.1–364.9
2083269.8248.9–287.6364.1358.3–365
2084268.4243.4–289.7364358.5–365.9
2085270.8251.2–287.4364.1358.3–365
2086270.6249.6–291.5364.1357.8–365
2087266.3246.2–289.2364.1357.9–365
2088269.2245.6–290.7364.2356.4–365.9
2089270.4251.1–289363.9357.6–365
2090270.9245.5–291.1364.2357.6–365
2091271.3246.1–293.5363.9357.6–364.9
2092270.6248.3–291.9364.4356.6–366
2093272.4254.3–289.2364.4358.2–365
2094274254.8–290.2364.1357.9–365
2095273.5251.8–291.6364358.2–365
2096273.9252.1–292.5363.9358–366
2097270.8246–292.1363.9356.3–364.9
2098271.1248.3–290.6363.7357.8–364.9
2099271.8250.5–291.1363.9358.6–365
2100273.4254–291.9364.2357.6–365

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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