Australia vs Philippines

Australia vs Philippines: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 196.4 nights, or 2.45 times that in Australia.

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nights a year · CMIP6

Australia vs Philippines: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 196.4 nights, or 2.45 times that in Australia.
AustraliaPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaPhilippines
2014135.1331.5
2013133330.9
2012132.9331.1
2011133.8329.8
2010134.2330.6
2009132.3329
2008132.3327.5
2007131.8327.8
2006128.1328.7
2005131.7329.7
2004131.4329.4
2003132.4327.1
2002129.7328.9
2001130.1327.8
2000129.7326.8
1999127.7327.5
1998128.1326.5
1997124.5325.4
1996123.9324.6
1995123.5324.2
1994124.4321.5
1993121.4319.5
1992116.7318.4
1991125.1324.1
1990126323.5
1989124.4322.5
1988125.2324
1987124.4323.1
1986124.9322.1
1985122.7321.4
1984123.9321.7
1983122.5319.4
1982124.7320.5
1981123.3320.4
1980123.7322.7
1979122.3321.2
1978121.2320.6
1977120.6319.8
1976121.1319.6
1975118.6319.6
1974119.7320
1973123.3319.4
1972120.2318.9
1971120.4318.8
1970118.5319
1969120.9318.7
1968118.9317.2
1967118.6317.4
1966116.5318.8
1965116.5317.2
1964112.5314.9
1963114.6317.2
1962119318.6
1961121.9319.3
1960120.7318.6
1959120.3320.5
1958121.8321.8
1957119.8319.4
1956119.9320
1955117.5319.3
1954119.9317.7
1953118.5320
1952119.9319
1951119.6319.8
1950119.7320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaPhilippines
2015134116.5–149.2333319.8–339.5
2016134.8118.2–149.5334.2322.8–340.7
2017136.1119.3–149.5333.4319.7–339.8
2018135.8118.4–151.4333.2320.1–340.1
2019136.6120.4–151.6334.1323.4–341.2
2020136119.8–151.4334.6322.6–341.8
2021135.6118.6–151.2335.6323.3–341.1
2022138.6121.4–155.1335.7323.3–342.1
2023139.9123.6–155.2336.7324.8–343.2
2024141122.4–156.1337.2325.7–343.9
2025140.9121–159.3336.3326.2–342.8
2026139.4121.9–157.8336.5322.9–343
2027140.4123.7–156336.2325.7–342.3
2028141.8125.4–158.7337.1325.5–343.8
2029143.3126–159.6338.1327.2–344.6
2030140.1125.4–156.4337.7326.2–344.4
2031141.6124.9–156.9337.1325.6–343.8
2032144.6128.6–162.1339.4329.5–346.1
2033144.5127.7–159.2339.7329.6–345.5
2034145129.2–161.3338.8328.8–345
2035146.5128.8–161.8338.6327.5–346.4
2036146.9128–161.8339.6327.8–346.9
2037146.6130.1–161.6339.8329.1–345.5
2038148.2131.2–164341.9330.7–347.7
2039146.9130.3–163.4341.2330.4–346.9
2040147.9130.6–164.6340.4328.1–347.6
2041147.6130.5–165.9341.1329.1–346.7
2042148.2129.2–166.5342331.4–347.7
2043148.9133.1–164.5341.3329–348.1
2044151135.2–166.3342.8329.9–349.8
2045149.3130.9–164.3343.4333.8–348.7
2046151.2135.4–168342.7330.2–348.7
2047153.5132.9–169.5343.2331.7–350.6
2048154.1135.2–171.4343.3332.7–350.6
2049153.4137.4–170.1343.2332.5–349.5
2050152.3133–170.6344.3332.6–349.9
2051154.5135.1–171.8344.4334.9–350.8
2052154.7134.9–175.7344.1333.5–350.9
2053153.8131.8–173344.3333.6–350.3
2054152.8134.4–172.4343.4332–349.9
2055155.2138.1–174.8344.3334.4–350.5
2056157139.6–173.6345334.6–352.6
2057156.3137.4–172.3345.5335.1–351.5
2058158.3135.3–176.6345.8334.3–351.3
2059157.9138.9–174.7345.5333.7–351.6
2060158.4140.3–176.8346.8335.5–353.5
2061158.8139.6–175.2345.9335–351.8
2062156.1137.8–172.7346335.2–353.5
2063160.2140–178.6346.6336.2–352.8
2064159.3140.5–177.9346.9335.3–353
2065156.7136.6–177.5346.1335.9–351.9
2066161.6142–180.6346.5335.4–352.4
2067162.5141.6–183.1346.1335.4–352
2068162.4140.7–180.1347.1335.1–354.1
2069162.6143.3–181347333.8–353.6
2070161.4140.4–180.3346.7336.1–352.7
2071162.1142–181.9347.6336.2–353.9
2072162.2142.3–179.6347334.4–353.8
2073163.8144.6–182.6348.4336.7–355
2074162.2142.8–181.6348.6337–354.9
2075163.1143–180.9347.9337.2–354
2076163.2141.1–181.9348.4337–355.1
2077163.1141.8–181.8348.7337–354.8
2078163.9145.8–181.3348.4338.2–354.7
2079163.3143.1–186348.8337.6–354.7
2080163142.7–183.3349.1338.4–355.9
2081165.8142.9–185.5348.8336.9–355.1
2082164.6145–182.6349.6338–354.9
2083164.2141.3–187349.9337.9–356.1
2084165.6140.7–187.4349.5336.7–356.4
2085167.2143.9–187.5349.1338.2–355.4
2086166.8143.2–186.2349.4337.5–354.9
2087165.2142.9–189.1349.7338.7–356
2088167.5146–187.8349.9338.9–356.1
2089166.3146.9–184.2350.2339.8–355.2
2090168.6145–188.3350.1339.7–355.9
2091168.3145.8–186.5349.5339.5–356.3
2092167.4144.8–185.2350.5339.3–356.1
2093168.2146–191.5350.4337.9–356.5
2094169146.8–187.2350.5338.4–355.9
2095169.5146.9–189.1350.5338.3–355.7
2096170.2145.3–192.8351.1339–358
2097168.2145.9–187.4350.2339.3–355.6
2098169.7149.4–190.8350.3337.4–355.2
2099167.1147.5–187.7350.6339.3–356.4
2100169.9149.9–190.1351.3340.2–356.3

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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