Australia vs Thailand

Australia vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 81.7 days in Australia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 41.7 days, or 2.05 times that in Thailand.

days a year · CMIP6

Australia vs Thailand: Days above 35 °CDays above 35 °C in 2014: 81.7 days in Australia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 41.7 days, or 2.05 times that in Thailand.
AustraliaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Australia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Australia at 120.5 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearAustraliaThailand
201481.739.9
201383.142.1
201280.840.1
201179.539.9
201083.239.8
20098037.9
200879.536
200778.533
20067639.2
200576.634.9
200482.239.4
200380.734.1
200274.336.3
200177.237.8
20007832.5
199971.729.7
199878.133.3
199775.233.7
199671.131.3
199568.933.5
199469.633.5
199367.830.4
199260.625.5
199173.235.4
199075.637.7
198972.929.3
198869.830.6
198770.131.2
198672.234.3
198566.129.3
198471.332.4
198368.430.4
198273.433.1
198169.129.5
198071.228.8
197970.432.4
197870.826.1
197770.331.5
197669.429.7
197565.825
197467.731.5
197371.334.5
197265.430.3
197168.827.1
19706628.7
19697029.9
196867.229.4
196767.728.3
196666.925.4
196566.927.1
196464.826.6
196363.426
196270.728.7
196172.131.1
196071.532.9
195969.224.4
195869.633
195770.127.8
195667.327.1
195566.231.2
195470.430.3
195367.728.2
19527134.1
195169.733
195068.628.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaThailand
201576.853.2–96.941.123.5–66.3
201679.859.4–98.338.915.7–61.2
201786.262–105.441.420.8–64.9
201885.863–104.543.521.7–65.5
201980.955.1–101.640.916.5–61.9
202084.756.1–10445.617.3–66.6
202185.663.6–106.543.720.7–70.7
202289.462.5–109.347.826.4–73.3
202384.961–108.641.822.3–67.2
202489.263.7–109.844.726.9–70.9
202586.459.2–112.450.227.3–77
202688.864.7–112.244.425.2–80.5
202789.463.2–109.747.126.2–75.6
202893.269.5–112.951.123.1–73.3
20299476.8–115.456.733.9–84.7
203087.664.4–11050.726.1–78.9
203192.264.8–11550.531.5–81.2
203296.273.8–119.249.823.6–85.7
203392.871–113.653.432–73.7
203494.673.5–118.551.531.6–83.4
203593.968.1–117.252.228.9–89.2
203690.267.6–113.753.335.2–77.4
2037100.677.4–120.657.632–82.5
203898.474.8–118.762.238.5–91.5
20399666.5–117.155.127.8–78.8
204095.971.2–117.353.728.4–91.3
204195.571.6–117.26337.5–86.6
204296.367.9–119.854.826.4–94.7
204399.376.7–118.257.129.8–85.3
204497.974.6–121.557.336.7–95.7
204597.875.9–118.254.934.2–90.2
204698.972.9–124.762.736.4–102.1
2047101.675.9–122.963.635–98.5
2048105.875–127.272.237.4–110.4
2049104.379.7–126.366.240.8–98.3
2050103.274.6–124.464.536.9–95.3
2051106.578.2–130.466.135.5–97.1
2052103.877.1–130.674.339.3–108.1
2053102.877.4–129.264.635–106.7
2054103.979.2–132.269.144.2–112.1
2055107.780.2–128.971.445.3–107.6
205610782.5–128.670.536.5–117.7
2057107.880.8–128.57240–104.6
2058107.678.9–132.473.140.6–107.3
2059109.283.2–131.677.251.2–121.4
2060108.281.6–130.880.946–117
2061110.582.7–133.677.335.3–117.8
2062103.675.5–126.273.535.5–125.8
2063112.885.3–134.983.640.3–122.6
2064109.485.3–132.474.746.9–111.8
2065107.679.3–129.469.939.5–124.8
2066114.593.5–137.880.250.7–122.7
2067111.281.6–14069.437.9–116
2068114.379.8–138.376.445.8–131.7
2069108.782–134.977.747.4–128.7
2070109.479.1–140.373.839.2–129.5
2071111.783–13880.642.2–131.6
2072113.787.6–137.381.347.5–135.3
2073118.593.1–139.988.854.2–133.4
2074112.586.3–1368444.3–128.1
2075113.181–135.982.838.3–123.9
2076114.987.1–137.582.937.1–132.9
2077117.686.2–139.78849.4–132.4
2078116.193.4–136.991.252–137
2079112.485.3–137.785.749.5–144.4
208011483.2–138.788.552.7–143.6
2081115.882.5–139.687.150.9–135.1
2082116.188.5–138.489.953.5–133.6
2083113.184.1–140.287.145.8–149.7
2084120.886–143.58447.7–131
2085116.987.7–142.393.853.8–141.8
2086118.683.7–140.487.745.8–139.2
208711785.8–14386.447.4–139.2
2088120.188.6–146.190.441.7–153.2
2089117.491.7–140.890.149–151.2
209011988.8–146.287.853.3–154.1
2091118.691.2–140.58648.2–148.6
2092118.784.5–143.292.650.2–149.9
2093122.388.6–148.289.854.6–159
2094117.689–142.895.549.6–143.6
209512494.3–151.5103.458.2–156.3
2096118.390.2–145.389.951.3–155.4
2097120.986.4–147.294.550.2–142.6
2098118.891.5–144.389.851.6–149.6
2099123.292.1–145.488.244.7–147.4
2100120.591–145.495.951.1–153.3

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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