Australia vs Egypt

Australia vs Egypt: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 9.9 nights, or 1.07 times that in Australia.

nights a year · CMIP6

Australia vs Egypt: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 9.9 nights, or 1.07 times that in Australia.
AustraliaEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt has been higher since 1989, when it overtook Australia.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Australia at 169.9 nights and Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaEgypt
2014135.1145
2013133145
2012132.9145.1
2011133.8144.7
2010134.2143.5
2009132.3140.2
2008132.3142.6
2007131.8140.5
2006128.1139.6
2005131.7140
2004131.4141.3
2003132.4141
2002129.7137.7
2001130.1139
2000129.7134.8
1999127.7135.5
1998128.1133
1997124.5134
1996123.9132.1
1995123.5130.2
1994124.4129.8
1993121.4123.6
1992116.7126.1
1991125.1129.7
1990126129.7
1989124.4126
1988125.2124.3
1987124.4125.8
1986124.9128.9
1985122.7125.7
1984123.9119.4
1983122.5119.4
1982124.7120.7
1981123.3122.6
1980123.7124.9
1979122.3119.2
1978121.2122.6
1977120.6121.3
1976121.1123.2
1975118.6121.9
1974119.7123.1
1973123.3123.5
1972120.2120.1
1971120.4120.7
1970118.5119.7
1969120.9118.3
1968118.9119.4
1967118.6116.2
1966116.5116.1
1965116.5112.9
1964112.5116.4
1963114.6120.2
1962119118.9
1961121.9118.7
1960120.7123.6
1959120.3123.2
1958121.8120.7
1957119.8122.4
1956119.9122.7
1955117.5119.4
1954119.9120.8
1953118.5121.3
1952119.9120.7
1951119.6121.2
1950119.7118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaEgypt
2015134116.5–149.2149.6131.4–164.2
2016134.8118.2–149.5147.7133.5–160.2
2017136.1119.3–149.5150.8134.8–163.2
2018135.8118.4–151.4147.4133.4–165.6
2019136.6120.4–151.6149.6132.7–164
2020136119.8–151.4150.8136.4–164.7
2021135.6118.6–151.2152.1137.8–168.1
2022138.6121.4–155.1154138.1–170.6
2023139.9123.6–155.2154.4139–168.4
2024141122.4–156.1155.8141.7–168.5
2025140.9121–159.3154.5139.6–168.1
2026139.4121.9–157.8155.1144.5–165.9
2027140.4123.7–156154.2139.5–166.3
2028141.8125.4–158.7154.5141.8–168.6
2029143.3126–159.6156.3139.9–169.5
2030140.1125.4–156.4156.3143.1–169.1
2031141.6124.9–156.9155.5141.5–171.2
2032144.6128.6–162.1158.3144.6–170.4
2033144.5127.7–159.2159.9143.8–172.9
2034145129.2–161.3159.8144.9–173.2
2035146.5128.8–161.8163.5146.6–175.8
2036146.9128–161.8156.2143.7–170.6
2037146.6130.1–161.6158.8142.9–173.8
2038148.2131.2–164164.9146.1–177.8
2039146.9130.3–163.4161.8146.1–180.1
2040147.9130.6–164.6161.6147.9–176.5
2041147.6130.5–165.9163.7149.4–177.3
2042148.2129.2–166.5166.5149.7–180.6
2043148.9133.1–164.5163.6150.3–176.8
2044151135.2–166.3162.2147–178
2045149.3130.9–164.3167.2152.5–181
2046151.2135.4–168166149–181.1
2047153.5132.9–169.5165.9151.8–181.5
2048154.1135.2–171.4167.2154.5–180.1
2049153.4137.4–170.1165.3148.7–177.9
2050152.3133–170.6170152.8–183
2051154.5135.1–171.8165.6152.7–179.5
2052154.7134.9–175.7167.3156–180.2
2053153.8131.8–173170.1153.6–183.8
2054152.8134.4–172.4169153.3–183
2055155.2138.1–174.8170.5153.5–183.3
2056157139.6–173.6168.3151.2–181.4
2057156.3137.4–172.3166.8150.7–185.3
2058158.3135.3–176.6171.8154.2–188.2
2059157.9138.9–174.7173.3157.8–188.6
2060158.4140.3–176.8170.5154.8–189.3
2061158.8139.6–175.2170.3155.1–184.6
2062156.1137.8–172.7172.1155.2–185.7
2063160.2140–178.6169.7152.8–182.6
2064159.3140.5–177.9172.3155.9–187.2
2065156.7136.6–177.5173.3159.7–189.9
2066161.6142–180.6170155–187.7
2067162.5141.6–183.1176.2161.5–190
2068162.4140.7–180.1174.6157.3–193.1
2069162.6143.3–181175.8158.8–191.7
2070161.4140.4–180.3173.3158.3–191.7
2071162.1142–181.9176.8158.1–194.7
2072162.2142.3–179.6177.6160.8–192.1
2073163.8144.6–182.6176159.2–189.3
2074162.2142.8–181.6171.9156.5–194.1
2075163.1143–180.9171.8157–191.9
2076163.2141.1–181.9177161–194.6
2077163.1141.8–181.8179.7157–194.1
2078163.9145.8–181.3178.4161–195
2079163.3143.1–186178.2160.2–193.7
2080163142.7–183.3178.5163–193.3
2081165.8142.9–185.5177.2160–192.8
2082164.6145–182.6178.8164.5–193.3
2083164.2141.3–187180.6164.4–195.7
2084165.6140.7–187.4181.4162.4–197.8
2085167.2143.9–187.5178.8163–196.7
2086166.8143.2–186.2181.9166.6–198.8
2087165.2142.9–189.1178156.4–194.3
2088167.5146–187.8177.8163.5–196
2089166.3146.9–184.2180.9163.5–198.9
2090168.6145–188.3179.9162.4–197.8
2091168.3145.8–186.5184.2165.1–198.9
2092167.4144.8–185.2180.3162.9–196.3
2093168.2146–191.5181.1166.1–198.2
2094169146.8–187.2185.4168–198.9
2095169.5146.9–189.1181.9165.5–197.3
2096170.2145.3–192.8183.1163.5–200.3
2097168.2145.9–187.4181.5165.4–198.9
2098169.7149.4–190.8181.7162.1–198.8
2099167.1147.5–187.7179.9164.2–197.8
2100169.9149.9–190.1183.4162.9–198.1

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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