Australia vs China

Australia vs China: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 93.6 nights, or 3.26 times that in China.

nights a year · CMIP6

Australia vs China: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 93.6 nights, or 3.26 times that in China.
AustraliaChinaCMIP6 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 169.9 nights and China at 63.3 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaChina
2014135.141.5
201313341.7
2012132.940.8
2011133.840.2
2010134.240.5
2009132.339.5
2008132.339.2
2007131.838.7
2006128.139.5
2005131.739.5
2004131.439.7
2003132.438.5
2002129.738.8
2001130.139.5
2000129.738.6
1999127.738.5
1998128.137.6
1997124.537.1
1996123.936.6
1995123.535.1
1994124.434.9
1993121.433.2
1992116.732.3
1991125.135.9
199012636.4
1989124.436.1
1988125.235.1
1987124.434.5
1986124.934
1985122.733.5
1984123.933.4
1983122.531.5
1982124.734.1
1981123.334.2
1980123.734.3
1979122.333.8
1978121.234.8
1977120.633.3
1976121.132.7
1975118.633.1
1974119.733.3
1973123.333.1
1972120.232.6
1971120.433
1970118.532.4
1969120.933.4
1968118.932.8
1967118.633.4
1966116.533.4
1965116.532.5
1964112.532.1
1963114.634.5
196211934
1961121.934.6
1960120.734.1
1959120.334
1958121.835
1957119.834.4
1956119.934.6
1955117.534.2
1954119.934.2
1953118.534.3
1952119.934.3
1951119.635.1
1950119.734.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaChina
2015134116.5–149.242.334.8–49.8
2016134.8118.2–149.542.134.4–50
2017136.1119.3–149.543.135.3–51.6
2018135.8118.4–151.442.335.5–49.5
2019136.6120.4–151.643.836.5–51.1
2020136119.8–151.443.736.8–51.1
2021135.6118.6–151.244.136–52.1
2022138.6121.4–155.144.737.5–52.7
2023139.9123.6–155.245.737.8–53.4
2024141122.4–156.145.738.1–54
2025140.9121–159.346.337.5–54.8
2026139.4121.9–157.846.237.6–55.5
2027140.4123.7–15646.138–54.9
2028141.8125.4–158.746.438.4–54.3
2029143.3126–159.646.939.1–55.6
2030140.1125.4–156.447.138.8–55.3
2031141.6124.9–156.94738.8–56
2032144.6128.6–162.148.339.3–57.4
2033144.5127.7–159.247.939.7–56.6
2034145129.2–161.348.440.5–57.3
2035146.5128.8–161.849.740.8–58.6
2036146.9128–161.84940.1–58.2
2037146.6130.1–161.64941.2–57.6
2038148.2131.2–16450.542.4–59.3
2039146.9130.3–163.449.641.2–59.2
2040147.9130.6–164.650.942.4–60.4
2041147.6130.5–165.951.342.5–61.1
2042148.2129.2–166.551.642–61.5
2043148.9133.1–164.550.742.7–61
2044151135.2–166.351.942.4–61.9
2045149.3130.9–164.351.542.8–61.1
2046151.2135.4–1685343.7–62.7
2047153.5132.9–169.553.544.5–62.5
2048154.1135.2–171.453.144–62.6
2049153.4137.4–170.152.843.8–63.3
2050152.3133–170.653.644.4–63.8
2051154.5135.1–171.854.345.1–64.8
2052154.7134.9–175.753.444.6–63.2
2053153.8131.8–17354.244.2–64.2
2054152.8134.4–172.454.545.3–64.8
2055155.2138.1–174.85545.1–65.8
2056157139.6–173.655.245.1–66.6
2057156.3137.4–172.354.844.9–65.7
2058158.3135.3–176.655.145.8–67.7
2059157.9138.9–174.755.345.1–67.2
2060158.4140.3–176.857.246.9–68.1
2061158.8139.6–175.256.546.6–66.3
2062156.1137.8–172.756.846.9–68.5
2063160.2140–178.657.247.2–68.6
2064159.3140.5–177.95747.1–67.7
2065156.7136.6–177.557.347.1–67.8
2066161.6142–180.657.347.9–68.7
2067162.5141.6–183.157.546.4–68.2
2068162.4140.7–180.158.748.5–70.5
2069162.6143.3–18158.548.4–69
2070161.4140.4–180.35847.6–71.7
2071162.1142–181.959.347.4–71.6
2072162.2142.3–179.659.248.1–71.5
2073163.8144.6–182.659.849.1–70.9
2074162.2142.8–181.659.648.7–71.1
2075163.1143–180.958.748.3–71.4
2076163.2141.1–181.960.249–70.9
2077163.1141.8–181.860.851.1–72.4
2078163.9145.8–181.359.648.8–72.4
2079163.3143.1–18660.750.1–72.6
2080163142.7–183.359.950–72.3
2081165.8142.9–185.560.950–73.2
2082164.6145–182.66149.8–73.3
2083164.2141.3–18761.251.2–73.6
2084165.6140.7–187.461.749.7–74.6
2085167.2143.9–187.561.250.8–75.2
2086166.8143.2–186.261.648.9–74.5
2087165.2142.9–189.161.650.6–75
2088167.5146–187.862.750.5–77.1
2089166.3146.9–184.261.950–75.2
2090168.6145–188.362.551.4–73.7
2091168.3145.8–186.563.852–75.7
2092167.4144.8–185.263.251.2–75.1
2093168.2146–191.563.252–75.4
2094169146.8–187.26351.1–76.3
2095169.5146.9–189.163.952.8–76.4
2096170.2145.3–192.863.852.2–76.8
2097168.2145.9–187.462.750.7–75.1
2098169.7149.4–190.863.451.2–76.8
2099167.1147.5–187.763.851.9–76.1
2100169.9149.9–190.163.351.7–76.2

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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