Australia vs Kenya

Australia vs Kenya: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 110.5 nights, or 1.82 times that in Australia.

nights a year · CMIP6

Australia vs Kenya: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 110.5 nights, or 1.82 times that in Australia.
AustraliaKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaKenya
2014135.1245.6
2013133245.4
2012132.9244.7
2011133.8245
2010134.2243.8
2009132.3242.3
2008132.3240.3
2007131.8240.9
2006128.1241.5
2005131.7241.2
2004131.4241.8
2003132.4240.8
2002129.7240.7
2001130.1242
2000129.7239.5
1999127.7237.8
1998128.1239.2
1997124.5236.9
1996123.9234.2
1995123.5232.9
1994124.4231.9
1993121.4227.4
1992116.7224.8
1991125.1233.8
1990126236.4
1989124.4234.5
1988125.2233.1
1987124.4232.6
1986124.9233
1985122.7228.7
1984123.9230.2
1983122.5226.7
1982124.7230.6
1981123.3232.9
1980123.7231.3
1979122.3229.6
1978121.2228.7
1977120.6229.9
1976121.1227.8
1975118.6225.9
1974119.7230.5
1973123.3230.4
1972120.2228.7
1971120.4226
1970118.5226.3
1969120.9225.9
1968118.9222.9
1967118.6224
1966116.5225.2
1965116.5224.2
1964112.5221.8
1963114.6220.2
1962119227.2
1961121.9228.3
1960120.7228.8
1959120.3228.3
1958121.8229.1
1957119.8228
1956119.9225.5
1955117.5228.7
1954119.9227.4
1953118.5227.6
1952119.9228.5
1951119.6228.3
1950119.7226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaKenya
2015134116.5–149.2246.9232.3–256.1
2016134.8118.2–149.5244.9230.1–255
2017136.1119.3–149.5248.1233.1–257.7
2018135.8118.4–151.4248.7237–257.4
2019136.6120.4–151.6247.1234.8–256.7
2020136119.8–151.4248.6233.2–259.2
2021135.6118.6–151.2249.5236.3–258.1
2022138.6121.4–155.1251.5239.7–259.5
2023139.9123.6–155.2251.8239–260.8
2024141122.4–156.1254.2239.1–263
2025140.9121–159.3251.5238.1–261.8
2026139.4121.9–157.8252.2237.2–263.3
2027140.4123.7–156252.8238.4–263.8
2028141.8125.4–158.7254.9241.9–264.2
2029143.3126–159.6256243.4–264.6
2030140.1125.4–156.4253.6240.6–263.1
2031141.6124.9–156.9256244.7–264.4
2032144.6128.6–162.1257243.8–267.1
2033144.5127.7–159.2256241.8–265.9
2034145129.2–161.3256.2241.2–267.9
2035146.5128.8–161.8256.7243.3–266.7
2036146.9128–161.8256.2242.4–266.7
2037146.6130.1–161.6258.7245.9–268.4
2038148.2131.2–164260.3244.5–268.9
2039146.9130.3–163.4259244.4–268
2040147.9130.6–164.6258.3246.2–269.8
2041147.6130.5–165.9260.7244.8–271.2
2042148.2129.2–166.5260.3246.5–272.7
2043148.9133.1–164.5259246.6–270.5
2044151135.2–166.3261.2248.8–270.9
2045149.3130.9–164.3261.8248.7–272.9
2046151.2135.4–168264.8249.6–275.3
2047153.5132.9–169.5264.4249.8–275.3
2048154.1135.2–171.4264.2252.3–274.9
2049153.4137.4–170.1265.2252.8–275.6
2050152.3133–170.6263.9249.8–275.1
2051154.5135.1–171.8265.4252.1–275.1
2052154.7134.9–175.7266.3252.6–276.2
2053153.8131.8–173265.2251–275.4
2054152.8134.4–172.4265.2250.2–277.2
2055155.2138.1–174.8266.8251.6–277.6
2056157139.6–173.6266.2251.2–277.8
2057156.3137.4–172.3266.8253–278
2058158.3135.3–176.6266.7251.5–277.9
2059157.9138.9–174.7269.8254.7–280.5
2060158.4140.3–176.8271.1253.9–280.7
2061158.8139.6–175.2267.5253.9–281.7
2062156.1137.8–172.7268.1254–281.2
2063160.2140–178.6268.9255–280.1
2064159.3140.5–177.9270254.1–279.8
2065156.7136.6–177.5269.4255.8–282.3
2066161.6142–180.6270.6258.1–281
2067162.5141.6–183.1270.7256.1–283
2068162.4140.7–180.1270.2256–283
2069162.6143.3–181269.8256.1–283.3
2070161.4140.4–180.3270.1255.8–282.6
2071162.1142–181.9271.9257.9–284.4
2072162.2142.3–179.6273.5260.3–283.8
2073163.8144.6–182.6273.1259.9–285.4
2074162.2142.8–181.6271.9257.5–285.4
2075163.1143–180.9271.1256.5–284.7
2076163.2141.1–181.9274.1258.6–285.8
2077163.1141.8–181.8273.4259–286.6
2078163.9145.8–181.3273.1260–284.4
2079163.3143.1–186273.3258.7–286.6
2080163142.7–183.3275.5259.4–286.9
2081165.8142.9–185.5274.7259.8–285.6
2082164.6145–182.6274.8261.3–286.4
2083164.2141.3–187274259.6–289.3
2084165.6140.7–187.4276.8259–288.8
2085167.2143.9–187.5276.2261.5–289.1
2086166.8143.2–186.2275.1260–289.1
2087165.2142.9–189.1276.2260.3–288.5
2088167.5146–187.8276.8261.6–289.7
2089166.3146.9–184.2275.9260.3–288.8
2090168.6145–188.3275.3260.5–290.5
2091168.3145.8–186.5277.7260.4–290.9
2092167.4144.8–185.2276.2261.2–290.7
2093168.2146–191.5276.9262–290.1
2094169146.8–187.2277262.8–288.9
2095169.5146.9–189.1278.4262.3–290.4
2096170.2145.3–192.8277.6260.5–292
2097168.2145.9–187.4277261–290.2
2098169.7149.4–190.8277.6262.3–291.5
2099167.1147.5–187.7277.9260.8–292.4
2100169.9149.9–190.1277261.8–290.4

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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