Australia vs Thailand

Australia vs Thailand: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 151.3 nights, or 2.12 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Thailand: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 151.3 nights, or 2.12 times that in Australia.
AustraliaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 169.9 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaThailand
2014135.1286.4
2013133289.1
2012132.9286.6
2011133.8286.4
2010134.2286
2009132.3286.9
2008132.3284.8
2007131.8283.2
2006128.1284.3
2005131.7281.7
2004131.4287.5
2003132.4279.3
2002129.7280
2001130.1285.5
2000129.7283.4
1999127.7282.5
1998128.1282.7
1997124.5284.8
1996123.9279.8
1995123.5278.7
1994124.4280.8
1993121.4275.6
1992116.7268.8
1991125.1276.7
1990126279.2
1989124.4278.4
1988125.2279.6
1987124.4277.9
1986124.9277.5
1985122.7276
1984123.9277.9
1983122.5273.9
1982124.7275.7
1981123.3277.8
1980123.7277.9
1979122.3278
1978121.2276
1977120.6277.3
1976121.1275.6
1975118.6274.4
1974119.7276
1973123.3280.6
1972120.2273.9
1971120.4273.2
1970118.5276
1969120.9274.8
1968118.9277
1967118.6270.3
1966116.5274.4
1965116.5275.8
1964112.5271.9
1963114.6274.7
1962119275.4
1961121.9278.5
1960120.7276.2
1959120.3274.4
1958121.8278.7
1957119.8277.4
1956119.9277
1955117.5274.6
1954119.9275
1953118.5275.4
1952119.9275.1
1951119.6277.5
1950119.7276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaThailand
2015134116.5–149.2290.6272.2–305
2016134.8118.2–149.5287.1269.8–306.2
2017136.1119.3–149.5290273.8–302.8
2018135.8118.4–151.4292.6275.1–308.7
2019136.6120.4–151.6291.2272.8–306.7
2020136119.8–151.4292.4272.2–307.8
2021135.6118.6–151.2294.2276.3–308.5
2022138.6121.4–155.1294.8277.2–311.9
2023139.9123.6–155.2296.1281.9–310.2
2024141122.4–156.1291.7275.5–307.8
2025140.9121–159.3294276.7–306.3
2026139.4121.9–157.8296278–309.3
2027140.4123.7–156295.8276.3–311.1
2028141.8125.4–158.7297279.3–315.1
2029143.3126–159.6300.3278.7–315
2030140.1125.4–156.4297.7280.2–312.5
2031141.6124.9–156.9300.8282.8–317.1
2032144.6128.6–162.1297.2280.9–311.4
2033144.5127.7–159.2300281.9–315.8
2034145129.2–161.3300.8279–318.4
2035146.5128.8–161.8298.6281.5–317.8
2036146.9128–161.8300.4279.9–316.9
2037146.6130.1–161.6299.8280–315.1
2038148.2131.2–164304.8286.6–319.3
2039146.9130.3–163.4300.9281.9–317
2040147.9130.6–164.6301.6284.5–315.7
2041147.6130.5–165.9303.1285.1–318.8
2042148.2129.2–166.5303.8290–318.3
2043148.9133.1–164.5302285.8–317.9
2044151135.2–166.3304.3286.3–318.8
2045149.3130.9–164.3307.1287.7–324.2
2046151.2135.4–168305.9285.2–321
2047153.5132.9–169.5306.6289.5–321.5
2048154.1135.2–171.4309.4288.9–325.7
2049153.4137.4–170.1308.1287.2–324.1
2050152.3133–170.6307.5291–321.5
2051154.5135.1–171.8312.8294.8–326
2052154.7134.9–175.7310.9291.2–323.4
2053153.8131.8–173308.3289.5–323.3
2054152.8134.4–172.4308.8292.8–322.3
2055155.2138.1–174.8308.6290.6–325.1
2056157139.6–173.6311.3294.9–326.3
2057156.3137.4–172.3308.5286.7–326.4
2058158.3135.3–176.6308291.1–325.1
2059157.9138.9–174.7312.7295.8–325.3
2060158.4140.3–176.8313.1294.6–328.6
2061158.8139.6–175.2314.4289.5–331.1
2062156.1137.8–172.7311.4293.4–330.3
2063160.2140–178.6314.8296.9–327.3
2064159.3140.5–177.9312.5295.4–330
2065156.7136.6–177.5309.6293.1–329.3
2066161.6142–180.6312.1292.6–328
2067162.5141.6–183.1311.2289.6–329.4
2068162.4140.7–180.1310.8292.4–330.6
2069162.6143.3–181315.5296.1–329.5
2070161.4140.4–180.3314.2292.9–330.7
2071162.1142–181.9313.8296.4–330.8
2072162.2142.3–179.6314.8296–329.6
2073163.8144.6–182.6316.5299.9–332.1
2074162.2142.8–181.6317.2295–333.8
2075163.1143–180.9317.2295.3–331.4
2076163.2141.1–181.9317.4299.8–335
2077163.1141.8–181.8317.5297.3–335.9
2078163.9145.8–181.3315.9297.1–331.6
2079163.3143.1–186318.5300.5–332.3
2080163142.7–183.3319.8297.4–337.5
2081165.8142.9–185.5317.7299.5–334.9
2082164.6145–182.6317.9294.8–333
2083164.2141.3–187315297.8–332.9
2084165.6140.7–187.4316295.5–330
2085167.2143.9–187.5322.6300.8–334.7
2086166.8143.2–186.2319.4295.2–335.2
2087165.2142.9–189.1320.2302.2–334.7
2088167.5146–187.8321.4299.8–334.8
2089166.3146.9–184.2318.9296.4–338.1
2090168.6145–188.3317.6304–337.4
2091168.3145.8–186.5320.1299.8–336.1
2092167.4144.8–185.2316.3298–336.4
2093168.2146–191.5316.1297.7–333.7
2094169146.8–187.2323.4301.8–337.3
2095169.5146.9–189.1322.9302.4–338.9
2096170.2145.3–192.8319.6302.8–336.7
2097168.2145.9–187.4319.8299.1–336
2098169.7149.4–190.8320.5303.9–336
2099167.1147.5–187.7319.9303.1–334.4
2100169.9149.9–190.1320.8301.1–336.7

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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