Chad vs South Sudan

Chad vs South Sudan: Days above 35 °C

Days above 35 °C in 2014: 187.2 days in Chad and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 72 days, or 1.62 times that in South Sudan.

days a year · CMIP6

Chad vs South Sudan: Days above 35 °CDays above 35 °C in 2014: 187.2 days in Chad and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 72 days, or 1.62 times that in South Sudan.
ChadSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad 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 230.3 days and South Sudan at 172 days in 2100.

Every year

days a year · CMIP6

YearChadSouth Sudan
2014187.2115.2
2013182.2111.2
2012184.1108.8
2011184112.9
2010182.3112.8
2009177.1104.3
2008176.6104.2
2007174.9100.7
2006175.3105.3
2005173.8102.8
2004175.5103.4
2003176.1102.5
2002176.1104.6
2001180.1108.9
2000173.399.1
1999170.797.8
1998166.897.6
1997171.599.2
1996167.394
1995167.294
1994165.389.9
1993158.984.6
1992158.487.9
1991168.195.2
1990168.794
1989166.993.6
1988167.698
1987164.397.7
1986170.597.9
198516289.8
1984161.390.8
1983161.290.8
1982159.289.3
1981164.396.2
1980164.697.5
197916395.4
1978160.389.1
1977161.492.9
1976159.886.7
1975156.991.5
1974157.690
1973164.890.1
1972161.489.8
1971158.784.8
1970160.487.8
1969156.890.8
1968157.685.5
196715584.3
1966156.987
1965157.482.2
1964152.279.2
1963150.184.4
1962161.893.5
1961160.490.4
1960166.392
1959159.990.1
1958160.988
1957163.190.7
1956159.385.5
1955159.687.3
1954159.891
1953161.195.5
1952161.788.7
1951163.693.2
1950160.686.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadSouth Sudan
2015184.1153.9–205.2112.487.1–135.9
2016179.9150.6–201.9103.878.8–129.9
2017185.5156.4–210.2114.384.4–134.8
2018180.7153.2–206109.674.1–140.7
2019182.2153.5–208.9107.285.2–133.3
2020183.2154.8–206.8114.783–140.8
2021187.2156.5–209.5112.182.3–137.9
2022187161.9–212.6108.880.6–137.3
2023185160.4–208.6113.188.8–147.8
2024192.4172.2–213.8121.591–149.4
2025191166–212.1115.889.9–141.1
2026186.6152.4–214.2112.283.6–145.9
2027190.6157.6–213.3115.482.9–143.9
2028191.7161–214.4118.387.9–145.1
2029193.6167.4–215.7120.789.9–140.1
2030194.7165.8–217.9117.292.5–147.7
2031193163.2–220.9123.397.3–147.8
2032192.4167.3–215118.791.5–148.1
2033195.6171.3–219.5123.791.9–159.9
2034194.6166.8–223.6120.889.9–159.1
2035196.8163.3–221.4122.892.3–153.1
2036193.9166.6–216.5118.790.7–147.5
2037199.7172.7–223.3127.792.4–161
2038201177.2–225.1129.5101.9–159.2
2039199171.5–222.5128.394.6–153.1
2040199.4169.8–223.2125.894.8–150.7
2041202.3173.3–227133.899.2–157.8
2042201.3171.5–225.6129.3101.8–150.8
2043199.1171.1–222.4124.788.4–161.9
2044199.3169.7–223.712893.3–153.7
2045202.6173.4–228.4134.398–166.7
2046209.1172.1–231.9142.1102.3–172.2
2047207175.1–230139.3111.2–169.4
2048207.1179.1–231.8133.1102.8–175.4
2049205173.7–229.2144106.7–173.4
2050205.3174.8–233.6131.8102.7–175.9
2051205179.7–232.7136.9103.8–181
2052211.7176.4–236.1140.6107.1–170.7
2053208.7176.2–233.5136.798.4–174.4
2054213.8172.2–235.8143.499–172.9
2055213.9185–235.6143.4108.5–177.2
2056210.7180.5–239140.5106.1–187.1
2057216.3186.1–240.6152.3116.4–191.2
2058212.4181–235.3151.7101.9–183.5
2059215.2186.5–243.1145.9103.5–182.1
2060214.9186.3–241.6148.7106.5–190.2
2061214.7181.7–243.2149.5111.4–191.8
2062215.8183–242.9146.1106.4–194.6
2063214.7186.4–237.8147.1109.1–180.2
2064216.1186.2–244149.2109.2–185.1
2065217.7194.5–241.9153.7122.4–192.3
2066219.7190–249.3150.4119.4–190.7
2067214.9189.9–245.2149.8119–196.2
2068218.4188.5–246.9153.9118.8–193.6
2069216.1184.3–245.3148.8111.4–191.2
2070221.4186.3–246.2154.5117–195.8
2071225.7190.5–249153.5117.6–200.4
2072222.8195.7–248.5161.7122–189.2
2073221.5191.4–249.1159.7124.4–198.7
2074219.2185.9–251.3151.9106.9–200.6
2075224.3187.8–249.4155.5106.6–190
2076222.7194.1–252.8159.9116.3–216.8
2077227.5195.3–253.9163.6123.7–216.5
2078225.1197.2–250.4161.4123.3–199.6
2079222.7192.5–248.8158.8127.9–190.6
2080224.8190.9–252.8161.6116.1–198.3
2081225.4195.3–255163.3126.3–208.9
2082223.1195.2–256.1159.2127.6–200.5
2083227.9197.3–253.7168129–211.4
2084224.1193.8–252.4162.7120.4–199.8
2085227.6199.6–253.1166.1126.3–209.4
2086226.6195.1–261.8162.5122.2–208.7
2087223.9190.2–252.3163.7110.7–202.2
2088220.7193.8–260.3164.8122.3–214.2
2089225.9191.8–254.4162.4126–199.8
2090230.1192.8–254.7167120.8–211.8
2091228.4195.4–254.3165.6119.3–210.6
2092231.3198.8–255.9173.9126.9–217.6
2093228.4200.3–254.7168.8131.2–208.4
2094231.3201.1–255.7171.1131.9–222.8
2095232.7197.9–258.5171.7128.2–224.7
2096228.1200.4–255.1166.3122.8–214.1
2097226.8198.5–255.6165.8123.7–214.6
2098227.7194.7–253.8165.5125–217.9
2099232.1203.4–258.1171126.6–227.6
2100230.3201.6–261.3172124.2–217.9

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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