Malaysia vs Papua New Guinea

Malaysia vs Papua New Guinea: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 73 nights, or 1.29 times that in Papua New Guinea.

nights a year · CMIP6

Malaysia vs Papua New Guinea: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 73 nights, or 1.29 times that in Papua New Guinea.
MalaysiaPapua New GuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malaysia at 354.8 nights and Papua New Guinea at 276.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaPapua New Guinea
2014323250
2013323.9250.3
2012323.3248.7
2011320.9247
2010320.9249.1
2009320.3247.8
2008317.9246.9
2007317.8246.6
2006317.3247
2005318.4247.2
2004319.4247
2003316245.9
2002316245.6
2001316.5246.5
2000314.5245.9
1999312.9244.8
1998312.5243.9
1997310.6243
1996307.1241.9
1995307.3241.6
1994304.1239.6
1993298.2236.8
1992293.6235
1991308.9242.1
1990310.4242.7
1989306.9240.3
1988306.8241.3
1987306240.8
1986305.5241.1
1985301.7238.2
1984302.1238.3
1983297.2236
1982302.6239.7
1981303.7239.4
1980303.3239.4
1979302.4238.9
1978301237.6
1977301.3238.1
1976298.9235.2
1975297.7237.6
1974298.1236.9
1973299.1238.1
1972297236.3
1971298.3236.9
1970296234.7
1969297.4235.9
1968295.2235.4
1967293.1234.7
1966296.2235.3
1965293.1233.5
1964291.3232
1963291.6232.3
1962299.1237.1
1961299.5237.7
1960300.1238.1
1959299.9237.5
1958301.7238.5
1957299236.1
1956298.1236.9
1955299.3237.6
1954296.8235.9
1953298.8236.5
1952299.4237.1
1951299.1237.2
1950300236.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaPapua New Guinea
2015324.4308.5–333.7251.6240.9–257.9
2016323.8310.5–334.9250.8241.6–258.7
2017325.6309.9–334.4251.6240–258.6
2018325.7310.7–335.4252240.2–258.8
2019326.4311.9–335.3252.2242–259.7
2020328313.4–337.7253.8242.9–261.3
2021328.8314–336.3253242.7–259.2
2022329315.3–339254.2242.9–261.3
2023330.1316–340.5254243.4–262
2024332319.6–340.7256246.5–263.4
2025330.3317.7–342254.9244.4–263.6
2026330.2315.1–342.9255.8245–263.7
2027331315.2–342.4255.6245.6–262.9
2028332.4319–341.9256.2246.5–264.2
2029334.4322.5–344.9257.9248.1–265.4
2030333.4319.2–342.6256.8246.2–264.3
2031333.8317.1–342.5256.4246–263.8
2032336.5323.3–345.9258.6247.9–267.7
2033336.4322.5–343.3259.5248.8–266.1
2034334.8322.7–344.3257.9248.2–265.2
2035334.7323.3–347.9259.4250–270
2036336.9320.7–346.2259.6249.8–268.4
2037338.3325.4–345.3259.4249.3–267.6
2038339.7326.9–347.4261.1251.9–268.7
2039340326–347.4261.6251.5–268.3
2040338.6325.1–349260.6250–271.3
2041340.3326.3–348.1262.1250.9–271.1
2042339.9326.9–349.6261.7251.3–271.2
2043338.3324.3–348.3261.4250.7–270.1
2044340.6326.3–350.4263.5253.3–271.6
2045340.9327.4–349.8263.7252.3–272.6
2046343.3327.6–351.4264251.2–272.4
2047343325.3–352.9264.7253.1–274.1
2048342.6329–352.5263.6253.4–273.3
2049343.8331.1–354.1265.6254.3–275.8
2050342.7328.1–353.5266.3254.6–275.6
2051344.5330.7–354.3265254–276.5
2052345.1330.3–355266.5255.1–275.9
2053344.2331–353.5265.5254.3–277.2
2054345330.1–354.6265.6255–277.3
2055346.1332–354.3266.9255.8–278.4
2056346.5332.2–356.6267.6256.1–278.5
2057347.9332.3–355.4267.1254.9–278
2058347333.5–355.6267.4255.2–278.8
2059346.9333.4–356.2267.5255.8–278.8
2060349.7334.9–357.3270.4257.3–280.1
2061348.4334.1–356.1268.7257–278.3
2062348.4331.8–357.7268.3254.5–281.2
2063348.7333.2–357.7268.6256.4–281.7
2064349.1333.8–357.5269.5257–281.3
2065348.6334.6–356.8269.1257.2–280.5
2066349.3335–357.5270258.8–282.1
2067349.1334–356.6270256.7–281.9
2068350334.6–358.7271.1256.2–283.4
2069349.5334.2–357.9271.8258.6–282.9
2070349.2336.2–357.7270.7257–281.1
2071350.9336.1–358.6273.3258.5–284.9
2072351337.2–357.9271.3257.7–282.6
2073351.1338.7–359.9272.6259.4–284
2074350337.8–359.4272.8258.8–285.6
2075350.5335.4–358.1273.1258.5–284.4
2076351.6337.5–359.7272.6258.9–282.9
2077352.4336.4–359.9273.4259.5–285.8
2078351.3338.9–358.8273.5260.4–284.1
2079351.8337.9–359.7273.1259.6–285.6
2080352.4338.8–360.7274.1260.6–286.6
2081352.2337.3–359.7274.1260.6–286.9
2082352.7336.9–358.9274.2259.8–283.7
2083352.5339.6–360.4275.7261.4–286.9
2084353.5337.9–360.4275.1261.3–286.7
2085352.9340.2–360.2275260.2–287.9
2086352.8339.9–360275.4262.7–287.1
2087352.8338.4–361273.4261–287.5
2088354340–360.9276.5262.7–287
2089353.7339.7–359.9275.4261.5–288.4
2090353.3340.3–360.6274.9261.9–288.4
2091354.7338.9–361276.8260.9–289.4
2092355.3340.4–361.7276.8262.1–288.4
2093353.5339.3–362275.4262.9–290.1
2094355.4341.2–360.4276.9262.2–288.1
2095355339.4–360.6277261.9–287.5
2096353.6339.6–363.1276261.9–293
2097354.3339.5–360.6274.9261.5–288.8
2098354.8340.2–360.7276.6261.6–289.1
2099353.7340–361.8276.9261.8–290.6
2100354.8340.4–360.8276.3261.4–287.1

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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