巴布亚新几内亚与泰国对比

巴布亚新几内亚与泰国：热带夜

2014 年热带夜：巴布亚新几内亚为 250 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 36.4 夜，是巴布亚新几内亚的 1.15 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴布亚新几内亚与泰国：热带夜2014 年热带夜：巴布亚新几内亚为 250 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 36.4 夜，是巴布亚新几内亚的 1.15 倍。
巴布亚新几内亚泰国CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，泰国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴布亚新几内亚为 276.3 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份巴布亚新几内亚泰国
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 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴布亚新几内亚泰国
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

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须知

  • 一年中气温始终高于 20 °C 的夜晚数，取全国平均。
  • 来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

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