Australia vs Sudan

Australia vs Sudan: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 107.3 nights, or 1.79 times that in Australia.

nights a year · CMIP6

Australia vs Sudan: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 107.3 nights, or 1.79 times that in Australia.
AustraliaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaSudan
2014135.1242.4
2013133240
2012132.9242
2011133.8242.2
2010134.2240.6
2009132.3236.5
2008132.3237.1
2007131.8236
2006128.1235.3
2005131.7233.1
2004131.4233.5
2003132.4235.6
2002129.7234.7
2001130.1235.4
2000129.7230.5
1999127.7232.1
1998128.1230.2
1997124.5231.1
1996123.9227.3
1995123.5227.8
1994124.4225.3
1993121.4219.1
1992116.7217.8
1991125.1227.3
1990126227.5
1989124.4223
1988125.2223.1
1987124.4224.4
1986124.9226.4
1985122.7222.1
1984123.9220.7
1983122.5217
1982124.7216.3
1981123.3223.2
1980123.7220
1979122.3218.4
1978121.2218.5
1977120.6219.3
1976121.1220.1
1975118.6215.7
1974119.7217.5
1973123.3220
1972120.2217.9
1971120.4215.5
1970118.5217
1969120.9213.1
1968118.9214
1967118.6210.3
1966116.5213.3
1965116.5213.4
1964112.5213.2
1963114.6210.1
1962119217
1961121.9216.9
1960120.7221.3
1959120.3217.8
1958121.8216.2
1957119.8218.9
1956119.9217.2
1955117.5216.6
1954119.9218.9
1953118.5215.1
1952119.9216.4
1951119.6218.5
1950119.7214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaSudan
2015134116.5–149.2242.3225.3–258.3
2016134.8118.2–149.5241.4223.3–254.1
2017136.1119.3–149.5243.2223–259.1
2018135.8118.4–151.4242.3226.4–258.5
2019136.6120.4–151.6243.1221.7–260.4
2020136119.8–151.4244.9225.9–261.7
2021135.6118.6–151.2245.6229.1–261.5
2022138.6121.4–155.1249230.9–262.3
2023139.9123.6–155.2247.1226.8–263.1
2024141122.4–156.1251.5232.8–266.1
2025140.9121–159.3250.7232.4–265.6
2026139.4121.9–157.8250230.8–266.6
2027140.4123.7–156248.8228.4–265.6
2028141.8125.4–158.7249232.2–263.1
2029143.3126–159.6251.4232.1–266
2030140.1125.4–156.4252235.4–266.7
2031141.6124.9–156.9253.3234.4–268.9
2032144.6128.6–162.1250.4232.3–266.6
2033144.5127.7–159.2254.4235.3–269.4
2034145129.2–161.3254.2234.5–269.9
2035146.5128.8–161.8258.3240.2–273.6
2036146.9128–161.8252.8235.6–268.6
2037146.6130.1–161.6256.7238.6–271.8
2038148.2131.2–164258.7244.8–272.1
2039146.9130.3–163.4259.5241.2–272.5
2040147.9130.6–164.6256.4236.7–272.3
2041147.6130.5–165.9259.1241.2–274.5
2042148.2129.2–166.5258.7242–274.7
2043148.9133.1–164.5258.1240.3–272.6
2044151135.2–166.3257.3238.6–274.7
2045149.3130.9–164.3258.8243.1–276.2
2046151.2135.4–168261.1241.7–277.6
2047153.5132.9–169.5261.4244.6–278.4
2048154.1135.2–171.4260.4243.4–279.5
2049153.4137.4–170.1261.9242.6–275.9
2050152.3133–170.6263.5245.4–279
2051154.5135.1–171.8263.6246.6–278.8
2052154.7134.9–175.7263.8248.7–278.3
2053153.8131.8–173262.8242.4–279.2
2054152.8134.4–172.4266.3246.6–282.9
2055155.2138.1–174.8265.6245.9–281.4
2056157139.6–173.6264.1242.6–281.5
2057156.3137.4–172.3266.4247.6–283.4
2058158.3135.3–176.6265.2247.4–280.3
2059157.9138.9–174.7268.4249.6–285.4
2060158.4140.3–176.8263.6246.7–284.4
2061158.8139.6–175.2266.9250.1–281.9
2062156.1137.8–172.7266.4248.5–285
2063160.2140–178.6267.1246.9–283.4
2064159.3140.5–177.9269250.7–284.7
2065156.7136.6–177.5269.8253.9–285.6
2066161.6142–180.6271.4251.9–287.3
2067162.5141.6–183.1270.9250–288.4
2068162.4140.7–180.1271.9251.7–289.8
2069162.6143.3–181268251.1–286.2
2070161.4140.4–180.3269252.3–285.8
2071162.1142–181.9275.5254.1–290.4
2072162.2142.3–179.6273.3254.2–289.4
2073163.8144.6–182.6271.9250.7–287.6
2074162.2142.8–181.6270.9249–290.1
2075163.1143–180.9273.1254–291.9
2076163.2141.1–181.9272.7255.2–290.9
2077163.1141.8–181.8274.6255.2–292.7
2078163.9145.8–181.3274.3255.6–291.2
2079163.3143.1–186272255.2–288.5
2080163142.7–183.3276.6256–292.2
2081165.8142.9–185.5275.1254.1–294.8
2082164.6145–182.6272.9258.7–288.6
2083164.2141.3–187276.5258–291.7
2084165.6140.7–187.4275.4253–294.9
2085167.2143.9–187.5275.3258.6–291.6
2086166.8143.2–186.2276.4256.9–296.6
2087165.2142.9–189.1273.5253.1–293.3
2088167.5146–187.8273.6253.7–293.6
2089166.3146.9–184.2276.5256.6–293.4
2090168.6145–188.3276.6256.4–294.6
2091168.3145.8–186.5277.4256.4–296.6
2092167.4144.8–185.2274.6254.3–294.9
2093168.2146–191.5278261.9–292.1
2094169146.8–187.2280.3262.2–294
2095169.5146.9–189.1277.5262.6–294
2096170.2145.3–192.8279.7258.7–297
2097168.2145.9–187.4276.3254.1–297.6
2098169.7149.4–190.8277.7258.2–295.5
2099167.1147.5–187.7276.8257.2–296.2
2100169.9149.9–190.1278.6259–294.3

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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