Saudi Arabia vs Thailand

Saudi Arabia vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 165.7 days in Saudi Arabia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 125.8 days, or 4.15 times that in Thailand.

days a year · CMIP6

Saudi Arabia vs Thailand: Days above 35 °CDays above 35 °C in 2014: 165.7 days in Saudi Arabia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 125.8 days, or 4.15 times that in Thailand.
Saudi ArabiaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Saudi Arabia at 195.8 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearSaudi ArabiaThailand
2014165.739.9
2013163.742.1
2012164.440.1
2011164.239.9
2010162.239.8
200916037.9
2008161.636
2007159.733
2006160.239.2
200516134.9
2004160.439.4
2003159.534.1
2002160.436.3
200116237.8
2000159.832.5
1999158.229.7
1998156.333.3
1997156.733.7
1996156.331.3
1995154.133.5
1994154.833.5
1993148.830.4
199214725.5
1991153.435.4
1990156.837.7
1989153.829.3
1988153.130.6
1987152.731.2
1986153.734.3
198515129.3
198415032.4
1983147.730.4
1982149.233.1
1981153.229.5
198015328.8
1979150.732.4
1978149.526.1
1977150.131.5
1976151.529.7
1975146.625
1974147.931.5
1973149.534.5
1972148.230.3
1971146.327.1
1970146.928.7
1969147.429.9
1968147.429.4
1967145.328.3
1966146.925.4
1965146.327.1
1964145.426.6
1963145.826
1962148.728.7
1961150.131.1
1960150.932.9
195915124.4
1958150.233
1957152.327.8
1956148.727.1
1955148.631.2
1954148.730.3
1953150.228.2
1952150.834.1
1951148.633
1950148.828.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaThailand
2015168.1155.2–180.841.123.5–66.3
2016167.4155–178.238.915.7–61.2
2017166.4152.1–178.241.420.8–64.9
2018167.1153.7–180.743.521.7–65.5
2019168.2153.9–180.540.916.5–61.9
2020169.6156.7–18245.617.3–66.6
2021168.7155.3–180.543.720.7–70.7
2022169.6153.9–183.247.826.4–73.3
2023169.7155.9–184.941.822.3–67.2
2024170.4157.8–184.544.726.9–70.9
2025171.2159.4–181.950.227.3–77
2026173.2159.7–185.544.425.2–80.5
2027173.9159.3–185.447.126.2–75.6
2028172.8158.3–185.851.123.1–73.3
2029171157.4–183.856.733.9–84.7
2030174.4160.6–185.950.726.1–78.9
2031175160.1–186.750.531.5–81.2
2032173.2160.2–18549.823.6–85.7
2033176.3161.4–189.753.432–73.7
2034178.6164.5–193.451.531.6–83.4
2035176.1161.7–191.752.228.9–89.2
2036174.7162–187.253.335.2–77.4
2037177.3164.7–189.257.632–82.5
2038177.8163.1–191.762.238.5–91.5
2039178.3165.1–192.555.127.8–78.8
2040178.6165.4–188.953.728.4–91.3
2041177.4162.3–1906337.5–86.6
2042180165.1–193.254.826.4–94.7
2043179.6161.2–192.657.129.8–85.3
2044180.4167.3–19157.336.7–95.7
2045182.8167.9–195.954.934.2–90.2
2046182168–195.862.736.4–102.1
2047182.6170–19563.635–98.5
2048184.1169.5–199.472.237.4–110.4
2049182.9169.7–195.466.240.8–98.3
2050184.9170.6–196.864.536.9–95.3
2051185.3171.5–197.666.135.5–97.1
2052184.2170–196.674.339.3–108.1
2053181.7168.3–195.164.635–106.7
2054183.9167.9–197.369.144.2–112.1
2055187.7171.8–200.371.445.3–107.6
2056183.5168.6–196.270.536.5–117.7
2057186.6172.5–201.37240–104.6
2058184.9169.7–198.273.140.6–107.3
2059184.3169.9–199.377.251.2–121.4
2060188.1174–198.780.946–117
2061187.6174–198.477.335.3–117.8
2062186.9170.4–201.973.535.5–125.8
2063188.8174.6–201.883.640.3–122.6
2064187.2174.3–201.174.746.9–111.8
2065186.3171–200.869.939.5–124.8
2066188.6174.6–204.280.250.7–122.7
2067190.8177.1–204.469.437.9–116
2068188.1176.8–201.476.445.8–131.7
2069189.2174–202.277.747.4–128.7
2070190.4177.1–204.173.839.2–129.5
2071193.2174.7–207.480.642.2–131.6
2072190.3174.7–203.781.347.5–135.3
2073192.8177.3–207.788.854.2–133.4
2074189.9174.1–206.88444.3–128.1
2075190.3174.8–206.182.838.3–123.9
2076190.9175–206.982.937.1–132.9
2077193.3176.6–206.18849.4–132.4
2078192.2178.3–207.491.252–137
2079192177.9–203.885.749.5–144.4
2080192.9177.3–209.488.552.7–143.6
2081193.1174.9–20887.150.9–135.1
2082192.8177.3–208.289.953.5–133.6
2083194.3178.4–208.787.145.8–149.7
2084193.4181.1–208.48447.7–131
2085193.9178.3–21193.853.8–141.8
2086193.2177.7–211.587.745.8–139.2
2087194.6180.8–208.886.447.4–139.2
2088195178.3–211.990.441.7–153.2
2089195.7180.6–209.990.149–151.2
2090194.9178.8–210.687.853.3–154.1
2091195.9182.4–210.18648.2–148.6
2092195.7181.2–210.792.650.2–149.9
2093194.4178.8–210.489.854.6–159
2094195.7181.7–209.995.549.6–143.6
2095196.2182.1–210.7103.458.2–156.3
2096196.8178.8–213.189.951.3–155.4
2097195.2178–211.194.550.2–142.6
2098196.3177.7–212.989.851.6–149.6
2099195.3181.5–210.688.244.7–147.4
2100195.8182.5–210.395.951.1–153.3

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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