Chad vs South Sudan

Chad vs South Sudan: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 106.1 nights, or 1.45 times that in Chad.

nights a year · CMIP6

Chad vs South Sudan: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 106.1 nights, or 1.45 times that in Chad.
ChadSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan 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 South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearChadSouth Sudan
2014237.6343.7
2013231.8342.1
2012237.9342.8
2011236.2343.3
2010234.8341.9
2009231.5338.8
2008230.8339.8
2007229.6336.9
2006229.5339
2005228.8336.8
2004228336.6
2003230.9338.9
2002229.8336.6
2001230.2338.7
2000226.4334.6
1999225.1331.8
1998222.9333.6
1997226.3334.5
1996222.4330.7
1995222.3329.6
1994221.4328.2
1993215.6321.9
1992214.4321.5
1991223329.1
1990222.8332.6
1989220329
1988219.9330.5
1987218.4328.8
1986222.6330.4
1985218327.1
1984216.1324.1
1983213.7322.8
1982214.8322.8
1981218.1329.9
1980215326.5
1979214.5325.3
1978216324.1
1977216.2325
1976215.7322.6
1975212.2320.8
1974213.8320.1
1973216.9325.4
1972215.2324.7
1971212.6319.9
1970214.3322.3
1969210.3318.5
1968212.8318.3
1967209.1315.6
1966210.8317.2
1965210.3316.5
1964210.6312.9
1963207.5309.8
1962214.7323.9
1961212.3323.3
1960217.3324.8
1959212.5321.5
1958213.8320.2
1957214322.1
1956213.4319.5
1955213.8317
1954214.3322.4
1953211.3321.6
1952213.1322.4
1951213.8323.9
1950213.1318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadSouth Sudan
2015235.8215.6–253.1342.7327.5–353.3
2016233.3212.8–247.7342.1325.1–351.1
2017237.6218.6–253.1344.5326.9–353.7
2018235.8217.8–254.4344.1324.9–353.7
2019235.2213.3–255.6344.5324–354.2
2020237217.1–255344.9326.9–355.6
2021239.6220–258.2347.3329.2–355.3
2022240.4223.1–258.2344.5326.1–355.5
2023239.1216.7–256.4347.2329.2–357
2024246.7227.6–261.2350.4331.6–357.9
2025243.2223.9–259.4347.1330.2–357.7
2026242.9220.8–260.9347.6329.5–356.7
2027242.3221.2–258.6346327.1–356.1
2028242.7225.4–259.7349.4333.5–357.3
2029246.3227.2–264.1348.6337.5–355.6
2030244.7225.8–261.1349.3335.5–357.2
2031246.8224.7–264.8351.3336.3–357.6
2032244.3226.5–260.2348.6333.6–357.7
2033247.6228.7–266.1350.8336.7–359.4
2034247.8224.9–263.9350.2337.5–358.3
2035250.9230.3–268.9352.3331–359.5
2036246.7226.3–264.1352340.8–359.1
2037249.9230.3–266.2351.9337.4–359.5
2038252.4233.4–268.7354.3341.9–359.6
2039250230.8–267.5353.8340.6–360
2040248.9227–266.8353.5338.7–360.2
2041252230–270.9353.2336.9–360.2
2042250.4232–271.8351.9336.9–360.3
2043251.1232–265.5353.2336.2–359.5
2044251.4230.2–271.3353.7339.9–361.1
2045252.3230.8–270.2353.7342.2–360.6
2046253.6231.9–272.3355.4342.2–361
2047254.6236.7–274.4355.7344–361.2
2048254.4236.6–273.6354.7342.5–361.6
2049256235.4–272356.7346.4–361.1
2050255.9234.4–276.1356.8345.6–361.7
2051256.1237.8–275.9356345.4–361.8
2052258.3237.1–273.9355.3343.8–362.2
2053255.9234.9–275355.5343.4–361.7
2054260.6233–279.6356.9345.2–362.1
2055259.9239.1–276.6356.9345–361.7
2056259.4233.3–279356.7345.7–363.1
2057262.5240.8–278.4358.4349.2–362.6
2058259.3239.2–275.5357.7345–361.8
2059263.7240.5–282.9358.6348.4–362.6
2060259.3239.3–280357.7344.7–363.8
2061261.1240.7–281.2358.2345.8–362.7
2062261.4238.1–281.4357.4345.2–363.1
2063263.4239.6–278.6358.8347.3–362.6
2064263.9244.3–283.2358.9348.4–363.3
2065263.7247.7–283.1359.1351.1–362.9
2066265.2245.7–285.6359.2350.6–363.1
2067262.5242.8–283.8358.6347.6–363.3
2068266.8241.4–286.3359.9350.3–364.4
2069262.7242.8–283.1357.6347–363.1
2070264.9243.5–284.9359.5350.4–363
2071267.9248.5–286359.6350.5–363.2
2072269.2246.8–285.6360.2348.4–364.2
2073263.7241.6–284.2359.3350.3–363.5
2074264239.7–285.1359.5348–363.3
2075266.5246.7–287359.9348.5–363.4
2076267.8245.8–285.7359.4350.5–364
2077269.5247.1–290.8359.9352.2–363.7
2078268.6247.9–286.4360351.2–363.4
2079266.4247.9–286.3359.8350.9–363.3
2080269.4249.6–289.4361.3349.8–364.6
2081267.4247.1–291.8360.4350.5–363.9
2082266.7249.2–286.8360.3351–363.3
2083269.8248.9–287.6360351.1–363.8
2084268.4243.4–289.7360.8350.8–364.9
2085270.8251.2–287.4361352.3–363.7
2086270.6249.6–291.5360.4352.5–364.1
2087266.3246.2–289.2359.7347.8–363.8
2088269.2245.6–290.7360.3352.2–364.7
2089270.4251.1–289360.2352.3–363.8
2090270.9245.5–291.1360.2351.3–363.9
2091271.3246.1–293.5360.9351.6–364.1
2092270.6248.3–291.9360.7352.4–364.7
2093272.4254.3–289.2361.6354.1–363.9
2094274254.8–290.2361.3353.8–364.3
2095273.5251.8–291.6361.5353.2–364
2096273.9252.1–292.5361.1352.8–365.1
2097270.8246–292.1360.7351.9–364.2
2098271.1248.3–290.6361.5352.6–364.1
2099271.8250.5–291.1361.2352.4–364.1
2100273.4254–291.9361.1352.6–364.2

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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