Cambodia vs Papua New Guinea

Cambodia vs Papua New Guinea: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 87.4 nights, or 1.35 times that in Papua New Guinea.

nights a year · CMIP6

Cambodia vs Papua New Guinea: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 87.4 nights, or 1.35 times that in Papua New Guinea.
CambodiaPapua New GuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cambodia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cambodia at 357.6 nights and Papua New Guinea at 276.3 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaPapua New Guinea
2014337.4250
2013342.5250.3
2012340.1248.7
2011338.3247
2010338.2249.1
2009339.2247.8
2008334.9246.9
2007336.1246.6
2006336247
2005334247.2
2004338.1247
2003332.9245.9
2002333.3245.6
2001337.1246.5
2000335.9245.9
1999335.1244.8
1998334.8243.9
1997336.8243
1996330.5241.9
1995328.7241.6
1994334.3239.6
1993329.9236.8
1992321.5235
1991328.1242.1
1990333.3242.7
1989330.3240.3
1988332241.3
1987329.7240.8
1986330.9241.1
1985330.8238.2
1984331.2238.3
1983328.7236
1982329.3239.7
1981331.2239.4
1980329.9239.4
1979330.4238.9
1978327.5237.6
1977331.6238.1
1976329.2235.2
1975328.1237.6
1974326.8236.9
1973331.2238.1
1972327.1236.3
1971327.4236.9
1970327.9234.7
1969327.4235.9
1968327.6235.4
1967323.9234.7
1966326.4235.3
1965329.8233.5
1964327.1232
1963328.6232.3
1962326.2237.1
1961332.3237.7
1960329238.1
1959328.5237.5
1958332.7238.5
1957331.1236.1
1956330236.9
1955326.8237.6
1954329235.9
1953329.6236.5
1952329.2237.1
1951330.9237.2
1950328.6236.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaPapua New Guinea
2015340323.1–351.2251.6240.9–257.9
2016339.6325.3–352.5250.8241.6–258.7
2017341.9327.4–350.7251.6240–258.6
2018343.5320.1–353.1252240.2–258.8
2019340.8327.2–352.1252.2242–259.7
2020343325.7–352.6253.8242.9–261.3
2021345.2328.4–353253242.7–259.2
2022344.4332.5–353.4254.2242.9–261.3
2023344.7333.7–355.1254243.4–262
2024342.1327.5–352.9256246.5–263.4
2025343.4332.6–351254.9244.4–263.6
2026343.9324.7–353.4255.8245–263.7
2027345.3330.6–354.2255.6245.6–262.9
2028346.5331–356.9256.2246.5–264.2
2029346.5330.1–357.3257.9248.1–265.4
2030346.7332.4–355.4256.8246.2–264.3
2031347.7332.3–356.7256.4246–263.8
2032347.5332.3–354.7258.6247.9–267.7
2033346.5331.7–358.1259.5248.8–266.1
2034348.1335.3–357257.9248.2–265.2
2035347.7330.1–357.7259.4250–270
2036348.2329.7–355.8259.6249.8–268.4
2037347.4334.6–355.4259.4249.3–267.6
2038348.9335.4–357.3261.1251.9–268.7
2039349.3335.7–358.3261.6251.5–268.3
2040348.9339.2–356.6260.6250–271.3
2041349.9337.3–358.1262.1250.9–271.1
2042348.1336.5–357.9261.7251.3–271.2
2043348.4336.5–357.3261.4250.7–270.1
2044348.6337.6–357.8263.5253.3–271.6
2045349.4335.2–360.2263.7252.3–272.6
2046351.3337.9–359.4264251.2–272.4
2047352.1341.4–359.4264.7253.1–274.1
2048351.1338.7–360.6263.6253.4–273.3
2049352.5339.7–360265.6254.3–275.8
2050352.6340.1–359.7266.3254.6–275.6
2051354.4343.2–360.9265254–276.5
2052353.3343.5–359.5266.5255.1–275.9
2053351.8340.5–358.9265.5254.3–277.2
2054352343.5–359.3265.6255–277.3
2055352.8339.5–359.2266.9255.8–278.4
2056353.4339.8–360.9267.6256.1–278.5
2057352.1338.8–359.4267.1254.9–278
2058353.3343–360.6267.4255.2–278.8
2059355341.5–359.7267.5255.8–278.8
2060354344.1–362270.4257.3–280.1
2061355338.3–361268.7257–278.3
2062352.2341.4–361268.3254.5–281.2
2063356344–360.6268.6256.4–281.7
2064354.4341.4–361.7269.5257–281.3
2065352.7343.4–359.8269.1257.2–280.5
2066353.7341.8–360.2270258.8–282.1
2067352.9341.2–360.3270256.7–281.9
2068354.6343.6–361.1271.1256.2–283.4
2069355.6344.7–361.2271.8258.6–282.9
2070355343.5–361.4270.7257–281.1
2071356346.1–361.1273.3258.5–284.9
2072356.6345.8–361.5271.3257.7–282.6
2073357.1347.3–362272.6259.4–284
2074356.1341.9–362.3272.8258.8–285.6
2075354.9340.7–361.9273.1258.5–284.4
2076357.6347.1–362.9272.6258.9–282.9
2077356.7345.6–362.3273.4259.5–285.8
2078355345.5–361.7273.5260.4–284.1
2079356.5347.1–361.5273.1259.6–285.6
2080358347.4–363.9274.1260.6–286.6
2081355.8345.5–362.5274.1260.6–286.9
2082354.6345.1–360.9274.2259.8–283.7
2083355.2345.7–361.7275.7261.4–286.9
2084355.7343.4–361.6275.1261.3–286.7
2085358.4350–362.5275260.2–287.9
2086356.6345.5–361.8275.4262.7–287.1
2087357.5346.7–362.5273.4261–287.5
2088357347.6–362.4276.5262.7–287
2089357.2346.7–361.8275.4261.5–288.4
2090355.7347.6–362.1274.9261.9–288.4
2091357.8345.5–362.6276.8260.9–289.4
2092355.5343.9–362.3276.8262.1–288.4
2093355.6344.4–361.2275.4262.9–290.1
2094359.2347.3–362.9276.9262.2–288.1
2095358.6347.7–362.8277261.9–287.5
2096357.8348.4–363.2276261.9–293
2097356.8346.5–362.4274.9261.5–288.8
2098356.2346.9–362.6276.6261.6–289.1
2099356.8346.4–362.7276.9261.8–290.6
2100357.6347.9–363.1276.3261.4–287.1

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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