Australia vs Colombia

Australia vs Colombia: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 144.8 nights, or 2.07 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Colombia: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 144.8 nights, or 2.07 times that in Australia.
AustraliaColombiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia 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 Colombia at 297.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaColombia
2014135.1279.9
2013133279.8
2012132.9280.7
2011133.8280
2010134.2279.1
2009132.3279.3
2008132.3278.4
2007131.8277.3
2006128.1277.5
2005131.7277.7
2004131.4278.2
2003132.4277.5
2002129.7277.3
2001130.1278
2000129.7276.2
1999127.7274.6
1998128.1275.2
1997124.5274.4
1996123.9271.2
1995123.5271.3
1994124.4270.4
1993121.4268
1992116.7264.7
1991125.1273.9
1990126275.6
1989124.4271.9
1988125.2270.3
1987124.4271.8
1986124.9271.4
1985122.7268.4
1984123.9268.2
1983122.5265.1
1982124.7269.2
1981123.3272.1
1980123.7270.2
1979122.3269.3
1978121.2268.3
1977120.6269.6
1976121.1266.1
1975118.6261.6
1974119.7266.6
1973123.3269.9
1972120.2266.6
1971120.4265.7
1970118.5265.4
1969120.9266
1968118.9264.6
1967118.6261.7
1966116.5263.7
1965116.5263.2
1964112.5260.3
1963114.6254.8
1962119266.7
1961121.9267
1960120.7268.6
1959120.3265.5
1958121.8268
1957119.8267.4
1956119.9263.3
1955117.5267.7
1954119.9267.2
1953118.5267.9
1952119.9268.1
1951119.6267.2
1950119.7266.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaColombia
2015134116.5–149.2280.4265.9–286.4
2016134.8118.2–149.5279.9267.9–285.6
2017136.1119.3–149.5281.7270.6–286.3
2018135.8118.4–151.4281.5271.8–286.3
2019136.6120.4–151.6281.1269.5–286.9
2020136119.8–151.4282.1270.6–287.9
2021135.6118.6–151.2283.2273.9–287.8
2022138.6121.4–155.1283.7273.6–288.5
2023139.9123.6–155.2282.6274.2–288.8
2024141122.4–156.1284.7274.7–289.8
2025140.9121–159.3283.5273.3–289.7
2026139.4121.9–157.8283.4272.7–289.7
2027140.4123.7–156283.9273.4–289.2
2028141.8125.4–158.7285275.1–290.7
2029143.3126–159.6285.8276–290.3
2030140.1125.4–156.4284.2273.4–289.8
2031141.6124.9–156.9285.8274.8–291.2
2032144.6128.6–162.1286.7278.3–292.6
2033144.5127.7–159.2285.7274.7–290.3
2034145129.2–161.3285275.8–292.8
2035146.5128.8–161.8285.9277.3–292
2036146.9128–161.8286276.9–291.6
2037146.6130.1–161.6287.5279.3–291.9
2038148.2131.2–164288279.7–292.4
2039146.9130.3–163.4287.6278.8–292.7
2040147.9130.6–164.6287.6279.3–294.5
2041147.6130.5–165.9288.2279.9–292.7
2042148.2129.2–166.5288.2278.3–295
2043148.9133.1–164.5287.7277.7–293.4
2044151135.2–166.3287.8278.5–295.1
2045149.3130.9–164.3288.8280.5–293.9
2046151.2135.4–168290.4281–295.5
2047153.5132.9–169.5289.9280.6–294.6
2048154.1135.2–171.4290.7281.4–296.8
2049153.4137.4–170.1290.9282–295.3
2050152.3133–170.6290.1280.8–296
2051154.5135.1–171.8290.6280.9–295.7
2052154.7134.9–175.7290.9281.9–296.7
2053153.8131.8–173290.5280.8–296.3
2054152.8134.4–172.4290.8281.3–297.2
2055155.2138.1–174.8291.1282.6–298
2056157139.6–173.6291.5281.5–298.6
2057156.3137.4–172.3291.5281.2–297.3
2058158.3135.3–176.6291.8281.7–298.9
2059157.9138.9–174.7292.8282–299.2
2060158.4140.3–176.8293.2283–300.1
2061158.8139.6–175.2292.2281.9–298.7
2062156.1137.8–172.7292.6282.4–299.7
2063160.2140–178.6293.6282.3–298.6
2064159.3140.5–177.9292.7282.9–299.1
2065156.7136.6–177.5293.8283.6–299.4
2066161.6142–180.6293.1283.4–299.8
2067162.5141.6–183.1292.9281.8–299.6
2068162.4140.7–180.1294.2282.5–300.6
2069162.6143.3–181292.9282.4–300
2070161.4140.4–180.3292.9282.8–300.8
2071162.1142–181.9294.2282.8–301.5
2072162.2142.3–179.6294.9285.1–301.9
2073163.8144.6–182.6294.9285.5–302.2
2074162.2142.8–181.6293.9283.3–300.3
2075163.1143–180.9294.1283.2–300.6
2076163.2141.1–181.9294.9284.6–302
2077163.1141.8–181.8295.3284.3–301.9
2078163.9145.8–181.3294.4285–302
2079163.3143.1–186294.8283.7–301.8
2080163142.7–183.3295.1283.4–302.8
2081165.8142.9–185.5295.1284.8–302.6
2082164.6145–182.6295.1284.9–301.3
2083164.2141.3–187295.4284.5–304.6
2084165.6140.7–187.4296285.1–304.4
2085167.2143.9–187.5296.6285–305
2086166.8143.2–186.2295.6284.8–303.6
2087165.2142.9–189.1295.3284.1–303.4
2088167.5146–187.8295.9284.5–305.5
2089166.3146.9–184.2295.6285–304.5
2090168.6145–188.3295.7285.8–304.6
2091168.3145.8–186.5297285–304.9
2092167.4144.8–185.2296.8286–305.7
2093168.2146–191.5296.3285.6–305.3
2094169146.8–187.2296.4285.8–305
2095169.5146.9–189.1297.9285.6–304.9
2096170.2145.3–192.8296285.9–307.5
2097168.2145.9–187.4296.5284.8–303.4
2098169.7149.4–190.8296.6286–307.3
2099167.1147.5–187.7297284.6–305.4
2100169.9149.9–190.1297.4286.5–305.2

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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