Australia vs Saudi Arabia

Australia vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 46.4 nights, or 1.34 times that in Australia.

nights a year · CMIP6

Australia vs Saudi Arabia: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 46.4 nights, or 1.34 times that in Australia.
AustraliaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaSaudi Arabia
2014135.1181.5
2013133180.4
2012132.9182.8
2011133.8182.7
2010134.2179.2
2009132.3177.1
2008132.3180.3
2007131.8178.9
2006128.1177.5
2005131.7177.9
2004131.4177.6
2003132.4177.4
2002129.7175.6
2001130.1178.1
2000129.7176.4
1999127.7173.2
1998128.1173.4
1997124.5173.8
1996123.9172
1995123.5169.2
1994124.4170.4
1993121.4164.6
1992116.7165.9
1991125.1169.2
1990126172.7
1989124.4168.9
1988125.2166.8
1987124.4167.3
1986124.9169.4
1985122.7166
1984123.9165
1983122.5163.5
1982124.7164.7
1981123.3168.9
1980123.7166.8
1979122.3165.3
1978121.2164.8
1977120.6165.6
1976121.1165.9
1975118.6161.2
1974119.7162.9
1973123.3163.7
1972120.2163.7
1971120.4160.4
1970118.5162.5
1969120.9161.3
1968118.9162.7
1967118.6159.5
1966116.5159.5
1965116.5159.5
1964112.5159.9
1963114.6160.2
1962119163.2
1961121.9163.7
1960120.7165.7
1959120.3164.4
1958121.8164.1
1957119.8165.5
1956119.9163.6
1955117.5162
1954119.9161.2
1953118.5162.5
1952119.9163.4
1951119.6161.2
1950119.7161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaSaudi Arabia
2015134116.5–149.2184.9169.4–198.7
2016134.8118.2–149.5183167.7–195.7
2017136.1119.3–149.5182.6168.1–196.7
2018135.8118.4–151.4186.8173.1–199.4
2019136.6120.4–151.6184.1168.8–199.1
2020136119.8–151.4185.3171.8–198.9
2021135.6118.6–151.2188.6173.6–202.8
2022138.6121.4–155.1187.6170.7–202
2023139.9123.6–155.2188.6173–203.8
2024141122.4–156.1187.1172.9–203.9
2025140.9121–159.3191.5176–206.1
2026139.4121.9–157.8191.8177.1–205.5
2027140.4123.7–156191.2176.6–206.8
2028141.8125.4–158.7191.9175.5–205.1
2029143.3126–159.6192.2176.6–205.7
2030140.1125.4–156.4193.3178.4–206.3
2031141.6124.9–156.9194.7179.1–207.6
2032144.6128.6–162.1192.2175.2–206
2033144.5127.7–159.2192.6177.5–206.9
2034145129.2–161.3196.7181.6–213
2035146.5128.8–161.8196.5179.9–211.6
2036146.9128–161.8194.1180–209.7
2037146.6130.1–161.6197183.7–209.9
2038148.2131.2–164198.4182.3–213.3
2039146.9130.3–163.4198184.4–213.6
2040147.9130.6–164.6199.2182.1–212.7
2041147.6130.5–165.9197.7181.4–211.7
2042148.2129.2–166.5198.3181.2–217
2043148.9133.1–164.5198.2182.3–215.3
2044151135.2–166.3199.2185.5–213.5
2045149.3130.9–164.3202187.1–216.8
2046151.2135.4–168204.1185.3–219.4
2047153.5132.9–169.5204.1187.4–220
2048154.1135.2–171.4206.1190.7–220
2049153.4137.4–170.1201.6187.7–216.2
2050152.3133–170.6205.7190.2–219.3
2051154.5135.1–171.8204.3188.8–222.1
2052154.7134.9–175.7203.8189.6–218
2053153.8131.8–173203.8186.3–218.8
2054152.8134.4–172.4207.6188.3–222.3
2055155.2138.1–174.8207.8190.8–221
2056157139.6–173.6203.7186.6–220.1
2057156.3137.4–172.3207.5188.8–224.2
2058158.3135.3–176.6205.9189.2–221.4
2059157.9138.9–174.7207.3191.6–226.9
2060158.4140.3–176.8206.9192.7–222.8
2061158.8139.6–175.2206.5190.4–220.9
2062156.1137.8–172.7208.1189.4–228.3
2063160.2140–178.6210.4193–227.1
2064159.3140.5–177.9207.5191.9–223.3
2065156.7136.6–177.5208.9193.9–226.1
2066161.6142–180.6210.3194.9–228
2067162.5141.6–183.1210.9193.1–228.6
2068162.4140.7–180.1209.8194.6–228.6
2069162.6143.3–181208.9194.5–226.3
2070161.4140.4–180.3211.2191.2–229
2071162.1142–181.9215.1196.3–233.3
2072162.2142.3–179.6213.6195.3–229.3
2073163.8144.6–182.6213.7194.1–231.6
2074162.2142.8–181.6210.5191.9–229.3
2075163.1143–180.9212.1196.6–231.8
2076163.2141.1–181.9212.8194.8–230.3
2077163.1141.8–181.8215.1196.6–233.9
2078163.9145.8–181.3215.5197.6–230.7
2079163.3143.1–186213.6197–229
2080163142.7–183.3213.6197.1–233.9
2081165.8142.9–185.5214.7194.4–231.6
2082164.6145–182.6214198.9–230.9
2083164.2141.3–187214.2198.5–238
2084165.6140.7–187.4217.4197.4–233.1
2085167.2143.9–187.5217.4199.6–237.9
2086166.8143.2–186.2217197.4–237.4
2087165.2142.9–189.1217.3199.7–238.7
2088167.5146–187.8216.1198.2–243.1
2089166.3146.9–184.2217.6199.5–239
2090168.6145–188.3217.3198.5–239.2
2091168.3145.8–186.5218.5202.8–238.4
2092167.4144.8–185.2218.5198.5–241.6
2093168.2146–191.5216.6197.8–236.3
2094169146.8–187.2218.8202–236.9
2095169.5146.9–189.1219.4204.2–237.4
2096170.2145.3–192.8219.9197.7–239.6
2097168.2145.9–187.4216.7196.8–239.7
2098169.7149.4–190.8219.7199.6–241.3
2099167.1147.5–187.7216.8200.8–236.8
2100169.9149.9–190.1218.7202.3–241

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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