Australia vs Vietnam

Australia vs Vietnam: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 107.5 nights, or 1.8 times that in Australia.

nights a year · CMIP6

Australia vs Vietnam: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 107.5 nights, or 1.8 times that in Australia.
AustraliaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaVietnam
2014135.1242.6
2013133243.6
2012132.9242.4
2011133.8241.9
2010134.2240.9
2009132.3240
2008132.3238.7
2007131.8238
2006128.1239.1
2005131.7238.3
2004131.4241.8
2003132.4235.9
2002129.7236.3
2001130.1241.3
2000129.7237
1999127.7236
1998128.1236.8
1997124.5237.1
1996123.9231.4
1995123.5229.9
1994124.4231.2
1993121.4225.3
1992116.7221.9
1991125.1229.8
1990126233.1
1989124.4229.2
1988125.2231.7
1987124.4230.3
1986124.9230.9
1985122.7228
1984123.9230.2
1983122.5224.9
1982124.7227.5
1981123.3229.7
1980123.7228.1
1979122.3228.9
1978121.2227.5
1977120.6229
1976121.1225.8
1975118.6225.8
1974119.7225.7
1973123.3230.3
1972120.2225.6
1971120.4225.5
1970118.5226.1
1969120.9227
1968118.9227.1
1967118.6222.9
1966116.5226.8
1965116.5225.4
1964112.5222.6
1963114.6224.3
1962119227.8
1961121.9229.4
1960120.7228.5
1959120.3226.2
1958121.8230.9
1957119.8228.4
1956119.9228.7
1955117.5227.5
1954119.9226.3
1953118.5228.2
1952119.9228.5
1951119.6229.2
1950119.7228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaVietnam
2015134116.5–149.2245.8228.2–261.9
2016134.8118.2–149.5243.7226.1–259.4
2017136.1119.3–149.5247229.6–260.7
2018135.8118.4–151.4248.3228.8–263.3
2019136.6120.4–151.6248.1229.2–262.8
2020136119.8–151.4248.8229.6–262.9
2021135.6118.6–151.2251.1233.1–266.7
2022138.6121.4–155.1252.4234.3–266.8
2023139.9123.6–155.2253.4235.4–266.6
2024141122.4–156.1251.3236.7–264.6
2025140.9121–159.3252.4234.1–266.2
2026139.4121.9–157.8252.8232.9–268.5
2027140.4123.7–156253.2237–268.8
2028141.8125.4–158.7254.3237.7–272
2029143.3126–159.6258.1238.5–273.7
2030140.1125.4–156.4256.4240.9–270.1
2031141.6124.9–156.9255.9241.2–270.9
2032144.6128.6–162.1257.4239.1–269.9
2033144.5127.7–159.2258.3241.7–273.2
2034145129.2–161.3258.8240.7–275.8
2035146.5128.8–161.8258.6242.5–275.4
2036146.9128–161.8258.3239.1–273.8
2037146.6130.1–161.6258.7242.4–272.4
2038148.2131.2–164263.4247.6–277.3
2039146.9130.3–163.4260.2243.7–275.9
2040147.9130.6–164.6260.1242.8–274.8
2041147.6130.5–165.9263.1245.9–279
2042148.2129.2–166.5263.6246.5–279
2043148.9133.1–164.5261.4245.5–279.6
2044151135.2–166.3263.2245.2–277.6
2045149.3130.9–164.3265.5249.6–281.4
2046151.2135.4–168264.9246.8–278.1
2047153.5132.9–169.5266.9250.4–282.9
2048154.1135.2–171.4268250.5–283.8
2049153.4137.4–170.1267.8251.2–284.8
2050152.3133–170.6268251.2–283.5
2051154.5135.1–171.8270.9254.3–285.4
2052154.7134.9–175.7268.3253.3–282.8
2053153.8131.8–173268.5250.1–283.2
2054152.8134.4–172.4269.1250.8–283.6
2055155.2138.1–174.8270249.8–284.2
2056157139.6–173.6271.7254.8–290.1
2057156.3137.4–172.3270253–285.7
2058158.3135.3–176.6270.7252.9–286.5
2059157.9138.9–174.7273257.6–286.6
2060158.4140.3–176.8275.7255.6–290.6
2061158.8139.6–175.2273.5254.6–289.5
2062156.1137.8–172.7271.4253.1–290.2
2063160.2140–178.6272.9252.7–288.1
2064159.3140.5–177.9273.8254.4–288.1
2065156.7136.6–177.5272255.8–286.3
2066161.6142–180.6271.8254.4–287.3
2067162.5141.6–183.1270.8252.1–287.6
2068162.4140.7–180.1275.6256.9–292.4
2069162.6143.3–181276.4258.5–292
2070161.4140.4–180.3274.6257.8–292.8
2071162.1142–181.9276.2255.2–294.1
2072162.2142.3–179.6277256.8–291.4
2073163.8144.6–182.6278.5262.7–293.4
2074162.2142.8–181.6277.6259.2–295.8
2075163.1143–180.9276.4258.7–294.4
2076163.2141.1–181.9279.2258.5–296.6
2077163.1141.8–181.8280264.9–294.7
2078163.9145.8–181.3278.4258.6–295.5
2079163.3143.1–186279.3263.4–293.6
2080163142.7–183.3280261.4–296.5
2081165.8142.9–185.5280.4261.2–297.9
2082164.6145–182.6280.9258.9–296
2083164.2141.3–187278.4261.6–295
2084165.6140.7–187.4279257.4–293.8
2085167.2143.9–187.5281.3265–297.8
2086166.8143.2–186.2282.3260.2–297.5
2087165.2142.9–189.1281.9261.3–300.7
2088167.5146–187.8283.1265.7–301.5
2089166.3146.9–184.2280.8261.2–301.6
2090168.6145–188.3280.5264.5–297.6
2091168.3145.8–186.5283.3264.3–298.9
2092167.4144.8–185.2281.1261.5–299.4
2093168.2146–191.5280.5263.4–296.1
2094169146.8–187.2283264.5–300
2095169.5146.9–189.1285.5264.5–302.9
2096170.2145.3–192.8281.8264.8–299.8
2097168.2145.9–187.4281.5263.3–299
2098169.7149.4–190.8282.5263.9–301.5
2099167.1147.5–187.7282.7265.1–298
2100169.9149.9–190.1282.7261–298.2

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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