Papua New Guinea vs Thailand

Papua New Guinea vs Thailand: Tropical nights

Tropical nights in 2014: 250 nights in Papua New Guinea and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 36.4 nights, or 1.15 times that in Papua New Guinea.

nights a year · CMIP6

Papua New Guinea vs Thailand: Tropical nightsTropical nights in 2014: 250 nights in Papua New Guinea and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 36.4 nights, or 1.15 times that in Papua New Guinea.
Papua New GuineaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Papua New Guinea at 276.3 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearPapua New GuineaThailand
2014250286.4
2013250.3289.1
2012248.7286.6
2011247286.4
2010249.1286
2009247.8286.9
2008246.9284.8
2007246.6283.2
2006247284.3
2005247.2281.7
2004247287.5
2003245.9279.3
2002245.6280
2001246.5285.5
2000245.9283.4
1999244.8282.5
1998243.9282.7
1997243284.8
1996241.9279.8
1995241.6278.7
1994239.6280.8
1993236.8275.6
1992235268.8
1991242.1276.7
1990242.7279.2
1989240.3278.4
1988241.3279.6
1987240.8277.9
1986241.1277.5
1985238.2276
1984238.3277.9
1983236273.9
1982239.7275.7
1981239.4277.8
1980239.4277.9
1979238.9278
1978237.6276
1977238.1277.3
1976235.2275.6
1975237.6274.4
1974236.9276
1973238.1280.6
1972236.3273.9
1971236.9273.2
1970234.7276
1969235.9274.8
1968235.4277
1967234.7270.3
1966235.3274.4
1965233.5275.8
1964232271.9
1963232.3274.7
1962237.1275.4
1961237.7278.5
1960238.1276.2
1959237.5274.4
1958238.5278.7
1957236.1277.4
1956236.9277
1955237.6274.6
1954235.9275
1953236.5275.4
1952237.1275.1
1951237.2277.5
1950236.6276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPapua New GuineaThailand
2015251.6240.9–257.9290.6272.2–305
2016250.8241.6–258.7287.1269.8–306.2
2017251.6240–258.6290273.8–302.8
2018252240.2–258.8292.6275.1–308.7
2019252.2242–259.7291.2272.8–306.7
2020253.8242.9–261.3292.4272.2–307.8
2021253242.7–259.2294.2276.3–308.5
2022254.2242.9–261.3294.8277.2–311.9
2023254243.4–262296.1281.9–310.2
2024256246.5–263.4291.7275.5–307.8
2025254.9244.4–263.6294276.7–306.3
2026255.8245–263.7296278–309.3
2027255.6245.6–262.9295.8276.3–311.1
2028256.2246.5–264.2297279.3–315.1
2029257.9248.1–265.4300.3278.7–315
2030256.8246.2–264.3297.7280.2–312.5
2031256.4246–263.8300.8282.8–317.1
2032258.6247.9–267.7297.2280.9–311.4
2033259.5248.8–266.1300281.9–315.8
2034257.9248.2–265.2300.8279–318.4
2035259.4250–270298.6281.5–317.8
2036259.6249.8–268.4300.4279.9–316.9
2037259.4249.3–267.6299.8280–315.1
2038261.1251.9–268.7304.8286.6–319.3
2039261.6251.5–268.3300.9281.9–317
2040260.6250–271.3301.6284.5–315.7
2041262.1250.9–271.1303.1285.1–318.8
2042261.7251.3–271.2303.8290–318.3
2043261.4250.7–270.1302285.8–317.9
2044263.5253.3–271.6304.3286.3–318.8
2045263.7252.3–272.6307.1287.7–324.2
2046264251.2–272.4305.9285.2–321
2047264.7253.1–274.1306.6289.5–321.5
2048263.6253.4–273.3309.4288.9–325.7
2049265.6254.3–275.8308.1287.2–324.1
2050266.3254.6–275.6307.5291–321.5
2051265254–276.5312.8294.8–326
2052266.5255.1–275.9310.9291.2–323.4
2053265.5254.3–277.2308.3289.5–323.3
2054265.6255–277.3308.8292.8–322.3
2055266.9255.8–278.4308.6290.6–325.1
2056267.6256.1–278.5311.3294.9–326.3
2057267.1254.9–278308.5286.7–326.4
2058267.4255.2–278.8308291.1–325.1
2059267.5255.8–278.8312.7295.8–325.3
2060270.4257.3–280.1313.1294.6–328.6
2061268.7257–278.3314.4289.5–331.1
2062268.3254.5–281.2311.4293.4–330.3
2063268.6256.4–281.7314.8296.9–327.3
2064269.5257–281.3312.5295.4–330
2065269.1257.2–280.5309.6293.1–329.3
2066270258.8–282.1312.1292.6–328
2067270256.7–281.9311.2289.6–329.4
2068271.1256.2–283.4310.8292.4–330.6
2069271.8258.6–282.9315.5296.1–329.5
2070270.7257–281.1314.2292.9–330.7
2071273.3258.5–284.9313.8296.4–330.8
2072271.3257.7–282.6314.8296–329.6
2073272.6259.4–284316.5299.9–332.1
2074272.8258.8–285.6317.2295–333.8
2075273.1258.5–284.4317.2295.3–331.4
2076272.6258.9–282.9317.4299.8–335
2077273.4259.5–285.8317.5297.3–335.9
2078273.5260.4–284.1315.9297.1–331.6
2079273.1259.6–285.6318.5300.5–332.3
2080274.1260.6–286.6319.8297.4–337.5
2081274.1260.6–286.9317.7299.5–334.9
2082274.2259.8–283.7317.9294.8–333
2083275.7261.4–286.9315297.8–332.9
2084275.1261.3–286.7316295.5–330
2085275260.2–287.9322.6300.8–334.7
2086275.4262.7–287.1319.4295.2–335.2
2087273.4261–287.5320.2302.2–334.7
2088276.5262.7–287321.4299.8–334.8
2089275.4261.5–288.4318.9296.4–338.1
2090274.9261.9–288.4317.6304–337.4
2091276.8260.9–289.4320.1299.8–336.1
2092276.8262.1–288.4316.3298–336.4
2093275.4262.9–290.1316.1297.7–333.7
2094276.9262.2–288.1323.4301.8–337.3
2095277261.9–287.5322.9302.4–338.9
2096276261.9–293319.6302.8–336.7
2097274.9261.5–288.8319.8299.1–336
2098276.6261.6–289.1320.5303.9–336
2099276.9261.8–290.6319.9303.1–334.4
2100276.3261.4–287.1320.8301.1–336.7

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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