Australia vs Myanmar (Burma)

Australia vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 66.8 nights, or 1.49 times that in Australia.

nights a year · CMIP6

Australia vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 66.8 nights, or 1.49 times that in Australia.
AustraliaMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaMyanmar (Burma)
2014135.1201.9
2013133203.1
2012132.9201.1
2011133.8200.9
2010134.2202.1
2009132.3199
2008132.3198.1
2007131.8196.8
2006128.1198.2
2005131.7196.7
2004131.4200.3
2003132.4195.3
2002129.7196.6
2001130.1199
2000129.7197.2
1999127.7196.4
1998128.1194.7
1997124.5194.4
1996123.9191.4
1995123.5189.9
1994124.4188.8
1993121.4185
1992116.7180.5
1991125.1191.7
1990126191.5
1989124.4190.3
1988125.2190.7
1987124.4190.8
1986124.9189.7
1985122.7187.4
1984123.9189.1
1983122.5182.3
1982124.7186.7
1981123.3188.4
1980123.7189
1979122.3189.8
1978121.2186.8
1977120.6187.4
1976121.1185.8
1975118.6183.6
1974119.7185.5
1973123.3187.5
1972120.2184.8
1971120.4185.2
1970118.5184.9
1969120.9184.3
1968118.9183.7
1967118.6182.3
1966116.5186.2
1965116.5182.9
1964112.5180.6
1963114.6183.1
1962119187.3
1961121.9188.7
1960120.7187.1
1959120.3186.5
1958121.8187.1
1957119.8186.2
1956119.9187.9
1955117.5185.9
1954119.9185.7
1953118.5185
1952119.9186.1
1951119.6187.1
1950119.7186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaMyanmar (Burma)
2015134116.5–149.2205.2186.4–218.9
2016134.8118.2–149.5202.8186.2–218.8
2017136.1119.3–149.5203.4187.3–218.3
2018135.8118.4–151.4205.5190.9–219.9
2019136.6120.4–151.6205.2186.7–222.2
2020136119.8–151.4208.2188.5–223.5
2021135.6118.6–151.2208.9191.2–224.1
2022138.6121.4–155.1209.9192.7–224.9
2023139.9123.6–155.2210.6195.4–226.3
2024141122.4–156.1210.4193.8–226.6
2025140.9121–159.3209.9190.3–225.2
2026139.4121.9–157.8212.2194.3–229.2
2027140.4123.7–156212195.6–228.6
2028141.8125.4–158.7213195.7–227.2
2029143.3126–159.6215.3193.9–231.9
2030140.1125.4–156.4212.2194.9–228
2031141.6124.9–156.9214.3197.2–230.8
2032144.6128.6–162.1215199.3–229.6
2033144.5127.7–159.2215.5198.5–230.1
2034145129.2–161.3214.9198.4–233.5
2035146.5128.8–161.8214.9199.2–236.8
2036146.9128–161.8216198.7–234.5
2037146.6130.1–161.6217.2199.6–233.5
2038148.2131.2–164220.7204.8–235.1
2039146.9130.3–163.4219.7202.4–234.3
2040147.9130.6–164.6219.2202.9–235
2041147.6130.5–165.9220.7203.9–237.7
2042148.2129.2–166.5221.8206.1–237.2
2043148.9133.1–164.5219.5201.2–237.1
2044151135.2–166.3221.4201.6–239.6
2045149.3130.9–164.3223.7204.8–241.5
2046151.2135.4–168223.2203.2–240.2
2047153.5132.9–169.5224.3204.8–241.1
2048154.1135.2–171.4226.4207.7–243.8
2049153.4137.4–170.1226.5205.6–242.8
2050152.3133–170.6227209.3–243.5
2051154.5135.1–171.8229.6212.4–246.4
2052154.7134.9–175.7227.2208.6–244.2
2053153.8131.8–173227.9208.7–247.7
2054152.8134.4–172.4227.9209.6–244.8
2055155.2138.1–174.8229.1209.8–247.5
2056157139.6–173.6231.8210.4–252.1
2057156.3137.4–172.3228.6208–249
2058158.3135.3–176.6228.9208.8–249
2059157.9138.9–174.7230.7212.1–247.5
2060158.4140.3–176.8234.7211.1–251.5
2061158.8139.6–175.2231.9213–247.7
2062156.1137.8–172.7233.6209.9–252.8
2063160.2140–178.6233215.4–250.5
2064159.3140.5–177.9233.2214.4–251.3
2065156.7136.6–177.5230.7210.4–250.7
2066161.6142–180.6233.5214.3–251.2
2067162.5141.6–183.1233211.5–253.3
2068162.4140.7–180.1233.1212.4–253.7
2069162.6143.3–181236.1214.6–253.4
2070161.4140.4–180.3235.9218.1–253.4
2071162.1142–181.9235.1213.5–259.6
2072162.2142.3–179.6234.6216.1–252.6
2073163.8144.6–182.6237.2219.3–257.2
2074162.2142.8–181.6236.4215.7–254.5
2075163.1143–180.9236.7214.4–255.9
2076163.2141.1–181.9237.7216–257
2077163.1141.8–181.8237.5219–258.7
2078163.9145.8–181.3238.5217.3–257.8
2079163.3143.1–186238.5219.2–257.2
2080163142.7–183.3240.5218.8–258.3
2081165.8142.9–185.5240219.7–260.9
2082164.6145–182.6239.4217.1–258.8
2083164.2141.3–187239.1220.5–259.2
2084165.6140.7–187.4241.3218.9–260.6
2085167.2143.9–187.5241.7218.8–260.7
2086166.8143.2–186.2241.7217.4–262.7
2087165.2142.9–189.1241.4220.5–260.9
2088167.5146–187.8241.8222.3–261.5
2089166.3146.9–184.2240.7221.2–262.6
2090168.6145–188.3241.3224.4–260.9
2091168.3145.8–186.5242.6220.3–262.5
2092167.4144.8–185.2241.9221.6–263.3
2093168.2146–191.5242.1220.2–260
2094169146.8–187.2242.5222.5–261.9
2095169.5146.9–189.1244.9224–264.4
2096170.2145.3–192.8243.9221.1–266.5
2097168.2145.9–187.4243.6219.6–264.2
2098169.7149.4–190.8243.6222.5–263.9
2099167.1147.5–187.7244.7221.8–263.5
2100169.9149.9–190.1244.5223.2–261.8

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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