Sudan vs Thailand

Sudan vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 184 days in Sudan and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 144.1 days, or 4.61 times that in Thailand.

days a year · CMIP6

Sudan vs Thailand: Days above 35 °CDays above 35 °C in 2014: 184 days in Sudan and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 144.1 days, or 4.61 times that in Thailand.
SudanThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • 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 Sudan at 230.7 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearSudanThailand
201418439.9
2013179.842.1
2012180.940.1
2011183.539.9
2010181.339.8
2009175.737.9
2008173.936
2007171.933
2006171.239.2
2005169.534.9
2004171.639.4
2003172.734.1
2002173.636.3
2001177.837.8
2000170.332.5
1999170.729.7
199816633.3
1997169.333.7
1996165.531.3
1995165.133.5
1994162.233.5
1993154.530.4
1992154.325.5
1991165.335.4
1990166.637.7
1989164.129.3
1988164.230.6
1987163.331.2
1986166.134.3
1985159.729.3
198415832.4
198315730.4
1982155.133.1
1981162.129.5
1980161.128.8
1979160.432.4
1978155.526.1
1977157.931.5
1976157.329.7
1975153.925
1974155.331.5
1973161.434.5
1972156.230.3
1971153.427.1
1970156.828.7
1969153.829.9
1968154.629.4
1967148.428.3
196615325.4
1965154.227.1
1964148.726.6
1963146.126
1962155.928.7
1961158.531.1
1960161.332.9
1959158.424.4
1958156.733
1957159.427.8
1956157.727.1
1955154.731.2
1954158.730.3
1953156.328.2
1952156.134.1
1951158.933
1950155.128.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSudanThailand
2015183.4158.5–201.641.123.5–66.3
2016179.1156.3–200.838.915.7–61.2
2017184.1159.3–204.441.420.8–64.9
2018178.9156–204.143.521.7–65.5
2019181.9158.3–204.840.916.5–61.9
2020182.3159.2–205.545.617.3–66.6
2021183.1159.4–206.843.720.7–70.7
2022187.9165.4–207.647.826.4–73.3
2023185.3162.7–207.941.822.3–67.2
2024192.2168–211.344.726.9–70.9
2025188.6166.8–209.350.227.3–77
2026188.5157.9–211.844.425.2–80.5
2027189.2157–211.647.126.2–75.6
2028189.6162.9–211.351.123.1–73.3
2029190.4166.6–209.356.733.9–84.7
2030191.6170.8–214.650.726.1–78.9
2031192.2167.3–21850.531.5–81.2
2032191.2169.9–210.349.823.6–85.7
2033195.3172.4–216.853.432–73.7
2034197.1168.8–222.451.531.6–83.4
2035196.4168.7–221.252.228.9–89.2
2036191.3171.4–213.653.335.2–77.4
2037198173.5–220.257.632–82.5
2038200.4179.8–221.262.238.5–91.5
2039199.5171.5–218.655.127.8–78.8
2040196.3172.7–217.953.728.4–91.3
2041202.2174.1–221.86337.5–86.6
2042201.6175.8–224.154.826.4–94.7
2043198.7169.7–224.357.129.8–85.3
2044198.3173.4–222.257.336.7–95.7
2045203.4179.1–224.654.934.2–90.2
2046210.2177.8–229.962.736.4–102.1
2047206.2180.9–228.463.635–98.5
2048204.6180–231.372.237.4–110.4
2049204.3178.2–227.366.240.8–98.3
2050205.3180.8–234.564.536.9–95.3
2051206.2186–229.866.135.5–97.1
2052209182–231.974.339.3–108.1
2053208.7181.2–230.764.635–106.7
2054211180.1–231.469.144.2–112.1
2055212.3184–233.571.445.3–107.6
2056208.5182.4–235.770.536.5–117.7
2057213.2186.4–240.17240–104.6
2058213.4183–233.473.140.6–107.3
2059214.6189.2–242.477.251.2–121.4
2060213.7189.1–241.780.946–117
2061214.5186.1–239.477.335.3–117.8
2062214.4187–241.273.535.5–125.8
2063212.5181.1–235.983.640.3–122.6
2064214.9189.9–242.274.746.9–111.8
2065217.2195.4–238.569.939.5–124.8
2066217.1190.9–246.380.250.7–122.7
2067216.5188.1–243.969.437.9–116
2068216.7193.9–247.676.445.8–131.7
2069216.1187.6–243.277.747.4–128.7
2070219.4189.5–241.373.839.2–129.5
2071224.1190.5–247.880.642.2–131.6
2072222.3196.2–245.181.347.5–135.3
2073221.8196.1–246.888.854.2–133.4
2074218.1183.5–2498444.3–128.1
2075221.9188.6–243.682.838.3–123.9
2076222.4196.4–250.882.937.1–132.9
2077225.8194.6–252.88849.4–132.4
2078224.1196.8–250.791.252–137
2079220.7194.1–245.385.749.5–144.4
2080225.9191.3–25088.552.7–143.6
2081225.1197.7–250.387.150.9–135.1
2082222.6195.3–249.889.953.5–133.6
2083228.1199.6–251.987.145.8–149.7
2084224.5194.9–252.98447.7–131
2085226.3199.3–251.593.853.8–141.8
2086225.2193.1–258.387.745.8–139.2
2087222.9190.2–250.186.447.4–139.2
2088220.4194.2–256.890.441.7–153.2
2089227195.7–249.890.149–151.2
2090229198.7–254.587.853.3–154.1
2091227196.4–254.18648.2–148.6
2092227.2200.5–253.192.650.2–149.9
2093227.5203–252.189.854.6–159
2094231.9201.3–25695.549.6–143.6
2095228.4202.1–255103.458.2–156.3
2096226.4198.4–255.989.951.3–155.4
2097225.9196.5–255.794.550.2–142.6
2098227.8194.4–253.489.851.6–149.6
2099229.5200.7–257.488.244.7–147.4
2100230.7199.7–256.795.951.1–153.3

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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