Australia vs Israel

Australia vs Israel: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 37.2 nights, or 1.38 times that in Israel.

nights a year · CMIP6

Australia vs Israel: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 37.2 nights, or 1.38 times that in Israel.
AustraliaIsraelCMIP6 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 Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaIsrael
2014135.197.9
201313398
2012132.996.3
2011133.896.1
2010134.295.5
2009132.392.5
2008132.394.1
2007131.892.7
2006128.192
2005131.792.3
2004131.490.7
2003132.493.9
2002129.789.5
2001130.191
2000129.789.5
1999127.786.2
1998128.184.8
1997124.584.2
1996123.983.7
1995123.579.3
1994124.480.1
1993121.471.6
1992116.774.9
1991125.178.4
199012680.2
1989124.476.9
1988125.276.5
1987124.475.1
1986124.978.3
1985122.774
1984123.969.4
1983122.568.9
1982124.773.5
1981123.373.5
1980123.775.3
1979122.368.7
1978121.271.6
1977120.672.3
1976121.173.2
1975118.670.9
1974119.772.5
1973123.371.9
1972120.269.9
1971120.473.1
1970118.571.6
1969120.970.6
1968118.969.6
1967118.666.9
1966116.568.8
1965116.563.5
1964112.566.1
1963114.670.9
196211973
1961121.971.5
1960120.774.9
1959120.375
1958121.873
1957119.874.8
1956119.974.3
1955117.572.8
1954119.971.4
1953118.573.7
1952119.972
1951119.675.1
1950119.769.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaIsrael
2015134116.5–149.2105.988.4–122.7
2016134.8118.2–149.5104.186.9–120.1
2017136.1119.3–149.5107.892.2–121.4
2018135.8118.4–151.410993.8–124.2
2019136.6120.4–151.610989.1–124.5
2020136119.8–151.4111.594.8–123.5
2021135.6118.6–151.211097.7–128.4
2022138.6121.4–155.1111.493.6–130.2
2023139.9123.6–155.2117.297.9–130.5
2024141122.4–156.1114.5100.4–127.3
2025140.9121–159.3116.698.3–129.2
2026139.4121.9–157.8115.9104.9–126.2
2027140.4123.7–156115.699–127.1
2028141.8125.4–158.7116.3100.2–127.9
2029143.3126–159.6117103.1–129.2
2030140.1125.4–156.4118.6102.1–131.2
2031141.6124.9–156.9116.8104.4–132.8
2032144.6128.6–162.1121.4106.5–134.7
2033144.5127.7–159.2122.1108.9–134.7
2034145129.2–161.3119.7103.1–133.4
2035146.5128.8–161.8122.8105.8–138.8
2036146.9128–161.8120.2105.5–136.2
2037146.6130.1–161.6121.6106.3–139.4
2038148.2131.2–164126.5105.7–142.1
2039146.9130.3–163.4127.7110.5–147.1
2040147.9130.6–164.6124.2109.7–144.9
2041147.6130.5–165.9126108.4–141.5
2042148.2129.2–166.5128.5105.8–144.3
2043148.9133.1–164.5126.5111.8–144.3
2044151135.2–166.3125.9108.5–142.9
2045149.3130.9–164.3130.9117.5–148.6
2046151.2135.4–168131114.4–147.2
2047153.5132.9–169.5132.3116.1–145.4
2048154.1135.2–171.4129.9118.5–146.9
2049153.4137.4–170.1127.9108.7–143.9
2050152.3133–170.6133.3114.3–147
2051154.5135.1–171.8130.3116.7–143.9
2052154.7134.9–175.7130.3119.9–143.5
2053153.8131.8–173135120.4–149.7
2054152.8134.4–172.4134.1118.8–149.3
2055155.2138.1–174.8134.1115.2–150.3
2056157139.6–173.6136110.1–151.1
2057156.3137.4–172.3132.7110.9–155
2058158.3135.3–176.6135.7119.1–155.4
2059157.9138.9–174.7138.8118.5–156.7
2060158.4140.3–176.8136.1116.3–159.2
2061158.8139.6–175.2136119–150.7
2062156.1137.8–172.7139118.7–156
2063160.2140–178.6137.4120.1–151.2
2064159.3140.5–177.9139.3121–154.3
2065156.7136.6–177.5139.6122.3–154.3
2066161.6142–180.6137.3119.6–153.7
2067162.5141.6–183.1142.8126–157.8
2068162.4140.7–180.1141.2122.8–156.4
2069162.6143.3–181141.5123.7–157.6
2070161.4140.4–180.3141.8120.5–157.5
2071162.1142–181.9142.9124.3–161.8
2072162.2142.3–179.6144.3127–158.5
2073163.8144.6–182.6143.6127.3–159.2
2074162.2142.8–181.6138.8123–162.2
2075163.1143–180.9138.1120.8–154.6
2076163.2141.1–181.9143.2126.8–161.5
2077163.1141.8–181.8142.8120.5–161.6
2078163.9145.8–181.3143.6128.2–160.6
2079163.3143.1–186148.6123.7–160.2
2080163142.7–183.3145.5123.5–163.7
2081165.8142.9–185.5143.7128.1–161.2
2082164.6145–182.6145.8129.5–160.6
2083164.2141.3–187149.4126–163.1
2084165.6140.7–187.4148128.2–164
2085167.2143.9–187.5149127.9–162.4
2086166.8143.2–186.2148127.4–167.1
2087165.2142.9–189.1146.4123.7–165.7
2088167.5146–187.8147.6133.5–165.3
2089166.3146.9–184.2148.4131.4–169.1
2090168.6145–188.3147.6132.4–168.8
2091168.3145.8–186.5151.9131.7–170.6
2092167.4144.8–185.2148.2132–167.4
2093168.2146–191.5154.1135.3–172.2
2094169146.8–187.2153.2133.6–170.3
2095169.5146.9–189.1148.2131.4–164.1
2096170.2145.3–192.8150.5130.5–172.6
2097168.2145.9–187.4149.8134.4–172.7
2098169.7149.4–190.8150.9131.3–170.1
2099167.1147.5–187.7149.5129–166.6
2100169.9149.9–190.1149.4130.1–168.5

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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