Australia vs Tanzania

Australia vs Tanzania: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 28.8 nights, or 1.27 times that in Tanzania.

nights a year · CMIP6

Australia vs Tanzania: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 28.8 nights, or 1.27 times that in Tanzania.
AustraliaTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaTanzania
2014135.1106.3
2013133105.5
2012132.9108.4
2011133.8109
2010134.2103.9
2009132.3101.1
2008132.3100.3
2007131.899.5
2006128.1100.4
2005131.798.7
2004131.4100.4
2003132.499.6
2002129.798.4
2001130.1101.5
2000129.794.9
1999127.794.2
1998128.196.8
1997124.593.5
1996123.989.6
1995123.588.5
1994124.485.4
1993121.481.2
1992116.780.1
1991125.189.6
199012691.1
1989124.489.1
1988125.287.6
1987124.488.5
1986124.989.4
1985122.783
1984123.983.1
1983122.582.1
1982124.784.8
1981123.388
1980123.785
1979122.385.5
1978121.282.9
1977120.684.1
1976121.181
1975118.680.8
1974119.782.2
1973123.383.6
1972120.281.4
1971120.480.7
1970118.581.8
1969120.979.5
1968118.979.1
1967118.677.5
1966116.578.1
1965116.578
1964112.573.8
1963114.673.1
196211981.1
1961121.982.6
1960120.783.9
1959120.381.4
1958121.882.1
1957119.880.9
1956119.980
1955117.581.6
1954119.981.4
1953118.580.6
1952119.981.4
1951119.682.1
1950119.780.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaTanzania
2015134116.5–149.2114.895.2–137.4
2016134.8118.2–149.5108.391.6–125.6
2017136.1119.3–149.5114.893.6–137.8
2018135.8118.4–151.4116.497.4–137.1
2019136.6120.4–151.6113.495.2–133.2
2020136119.8–151.4119.396.2–143.5
2021135.6118.6–151.2119.5100.9–147.1
2022138.6121.4–155.1124.4105.3–147.4
2023139.9123.6–155.2122.1102.1–147.8
2024141122.4–156.1126.2100–150.1
2025140.9121–159.3124.6100.9–154
2026139.4121.9–157.8126.999.1–155.6
2027140.4123.7–156128102.9–147.7
2028141.8125.4–158.7129.9106.4–152.1
2029143.3126–159.6134.1111–156.5
2030140.1125.4–156.4129.4106.4–151.1
2031141.6124.9–156.9136.4115.9–158.4
2032144.6128.6–162.1135.1114–166.8
2033144.5127.7–159.2135.2110.9–161.9
2034145129.2–161.3134.7112.5–166.3
2035146.5128.8–161.8140.2114.6–165
2036146.9128–161.8137.8113.3–165.5
2037146.6130.1–161.6142.9121.5–168.9
2038148.2131.2–164147.9124.3–169.3
2039146.9130.3–163.4144.3117.6–171.3
2040147.9130.6–164.6140.5117–178
2041147.6130.5–165.9149.1121.7–175.6
2042148.2129.2–166.5146.3120.5–185.3
2043148.9133.1–164.5144.6117–173
2044151135.2–166.3147.7121.2–175.8
2045149.3130.9–164.3150.1125.2–183.4
2046151.2135.4–168161.5128.6–192.2
2047153.5132.9–169.5160.2129.7–194.4
2048154.1135.2–171.4158.8132.7–193.1
2049153.4137.4–170.1157.6131.1–196
2050152.3133–170.6159.7127.8–192
2051154.5135.1–171.8163.2135.5–197.8
2052154.7134.9–175.7161.9136.2–199.1
2053153.8131.8–173160.6127.5–197.7
2054152.8134.4–172.4163.2131.5–200.2
2055155.2138.1–174.8167.4137–208.3
2056157139.6–173.6166.4130.8–209.7
2057156.3137.4–172.3168134.6–208.3
2058158.3135.3–176.6168.7134.9–210.3
2059157.9138.9–174.7174.7144.9–219.5
2060158.4140.3–176.8181.7138.1–219.8
2061158.8139.6–175.2171.8135.5–218.1
2062156.1137.8–172.7177.5139.9–224
2063160.2140–178.6181.4140.1–213.8
2064159.3140.5–177.9185.3140.1–215.2
2065156.7136.6–177.5183.5141.1–221.8
2066161.6142–180.6181.9146.3–219.3
2067162.5141.6–183.1178.8138.8–229.2
2068162.4140.7–180.1186144.2–228.4
2069162.6143.3–181183.7141.7–225.3
2070161.4140.4–180.3180.7140.4–228.2
2071162.1142–181.9184.9146.9–235.2
2072162.2142.3–179.6191.3155–226.1
2073163.8144.6–182.6191.6152.4–235.6
2074162.2142.8–181.6183.3149.7–231.7
2075163.1143–180.9183.8144.8–233
2076163.2141.1–181.9191.1150.9–233.2
2077163.1141.8–181.8191.3152.6–238.2
2078163.9145.8–181.3189156.6–233.8
2079163.3143.1–186190.5147–237.3
2080163142.7–183.3197.3150.7–241.2
2081165.8142.9–185.5195.6153.4–237.4
2082164.6145–182.6194.5157.3–237.3
2083164.2141.3–187193.2151–249.8
2084165.6140.7–187.4201.1152.2–246.7
2085167.2143.9–187.5204.2162.3–252.3
2086166.8143.2–186.2195156–248.7
2087165.2142.9–189.1196.7160.8–244.5
2088167.5146–187.8208.4154.7–246.9
2089166.3146.9–184.2201.3158.6–248.2
2090168.6145–188.3197.9160.7–253.6
2091168.3145.8–186.5210161.6–256
2092167.4144.8–185.2205.8158.3–253.6
2093168.2146–191.5207.2161.2–251.9
2094169146.8–187.2207.9161.3–250.6
2095169.5146.9–189.1214.2166.4–258.5
2096170.2145.3–192.8205.3159.8–257.4
2097168.2145.9–187.4206.6158.4–256.8
2098169.7149.4–190.8209.1161–258.3
2099167.1147.5–187.7208.5160.1–256
2100169.9149.9–190.1208158.6–258.6

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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