Australia vs South Korea

Australia vs South Korea: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 66.2 nights, or 1.96 times that in South Korea.

nights a year · CMIP6

Australia vs South Korea: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 66.2 nights, or 1.96 times that in South Korea.
AustraliaSouth KoreaCMIP6 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 South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaSouth Korea
2014135.168.9
201313369.7
2012132.967.7
2011133.865.3
2010134.268.3
2009132.365.8
2008132.363.7
2007131.864.2
2006128.164.8
2005131.765.1
2004131.466.8
2003132.463.2
2002129.763.3
2001130.163.4
2000129.761.7
1999127.764.2
1998128.160.7
1997124.560.4
1996123.961.2
1995123.555.2
1994124.454.8
1993121.449.2
1992116.750.7
1991125.156.9
199012658.8
1989124.458.7
1988125.255.6
1987124.452.6
1986124.951.4
1985122.753.1
1984123.950.4
1983122.546.8
1982124.754
1981123.353.9
1980123.751.6
1979122.352.6
1978121.256.4
1977120.651.8
1976121.152.8
1975118.654.6
1974119.752.7
1973123.350.4
1972120.251.8
1971120.449.7
1970118.550.4
1969120.955.2
1968118.951.7
1967118.657.3
1966116.552.9
1965116.552.8
1964112.552.2
1963114.657.9
196211953.3
1961121.958.2
1960120.755.2
1959120.354.8
1958121.856
1957119.855.8
1956119.959.1
1955117.555.7
1954119.954
1953118.555.4
1952119.957
1951119.654.7
1950119.759.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaSouth Korea
2015134116.5–149.268.656.8–82
2016134.8118.2–149.570.353.5–81.8
2017136.1119.3–149.570.559.5–82.9
2018135.8118.4–151.469.156.9–81.2
2019136.6120.4–151.674.663.1–84.4
2020136119.8–151.47157.6–83
2021135.6118.6–151.270.252.7–84.1
2022138.6121.4–155.172.563–81.2
2023139.9123.6–155.274.563.2–84.2
2024141122.4–156.173.558.6–87.1
2025140.9121–159.375.762.3–87.1
2026139.4121.9–157.87564–88.4
2027140.4123.7–15674.163.4–88.9
2028141.8125.4–158.777.361.5–87.9
2029143.3126–159.675.463.1–86.7
2030140.1125.4–156.475.364.5–87.6
2031141.6124.9–156.976.763.6–87.3
2032144.6128.6–162.176.761–89.2
2033144.5127.7–159.278.860–92.7
2034145129.2–161.377.264.7–87.2
2035146.5128.8–161.88168.9–92.1
2036146.9128–161.881.964.1–95
2037146.6130.1–161.678.465.8–89.3
2038148.2131.2–16478.866.9–89.4
2039146.9130.3–163.477.564.7–89.2
2040147.9130.6–164.680.567.4–92.7
2041147.6130.5–165.980.966.4–97.7
2042148.2129.2–166.582.469.1–95
2043148.9133.1–164.583.268.5–97.9
2044151135.2–166.383.169.3–91.6
2045149.3130.9–164.38170.4–92.2
2046151.2135.4–1688668.3–95.2
2047153.5132.9–169.583.469.7–96.7
2048154.1135.2–171.482.769.2–95.2
2049153.4137.4–170.181.669–96.8
2050152.3133–170.681.569.8–93.8
2051154.5135.1–171.884.572.7–98.8
2052154.7134.9–175.783.167.8–98.5
2053153.8131.8–17386.969.8–98.1
2054152.8134.4–172.484.773.3–97.5
2055155.2138.1–174.886.570.8–101.3
2056157139.6–173.685.874.5–99.8
2057156.3137.4–172.387.976.1–100.7
2058158.3135.3–176.686.275.2–99.4
2059157.9138.9–174.786.766.9–100.4
2060158.4140.3–176.886.371.9–101.9
2061158.8139.6–175.28974.8–99.5
2062156.1137.8–172.787.772.3–102.2
2063160.2140–178.686.774.6–101.2
2064159.3140.5–177.986.673.6–100.3
2065156.7136.6–177.591.575.3–102.2
2066161.6142–180.689.272.6–100.5
2067162.5141.6–183.190.372.7–102.6
2068162.4140.7–180.190.473.8–106.4
2069162.6143.3–1819174.5–102.5
2070161.4140.4–180.389.774.6–107
2071162.1142–181.992.674.9–107.9
2072162.2142.3–179.690.976.6–103.9
2073163.8144.6–182.691.376.2–104
2074162.2142.8–181.691.974.6–107
2075163.1143–180.994.576.4–103.7
2076163.2141.1–181.993.477.5–105.6
2077163.1141.8–181.895.776.3–107.2
2078163.9145.8–181.393.576.9–110.5
2079163.3143.1–18691.179.2–105.7
2080163142.7–183.392.481.7–107.1
2081165.8142.9–185.593.878–108.8
2082164.6145–182.696.279.9–110.1
2083164.2141.3–18794.481.1–108
2084165.6140.7–187.491.574.4–107.3
2085167.2143.9–187.59481.4–107.4
2086166.8143.2–186.293.678.5–111.5
2087165.2142.9–189.194.480.9–113.5
2088167.5146–187.893.779.8–108.5
2089166.3146.9–184.294.478.9–107
2090168.6145–188.397.979.5–109
2091168.3145.8–186.595.280.6–107.7
2092167.4144.8–185.29580–106.3
2093168.2146–191.595.379.5–109.9
2094169146.8–187.292.279.8–111
2095169.5146.9–189.194.884–112.2
2096170.2145.3–192.8100.481–113.2
2097168.2145.9–187.497.278.6–108.8
2098169.7149.4–190.897.479.9–110.4
2099167.1147.5–187.795.879.9–109.3
2100169.9149.9–190.196.381.6–113.8

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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