澳大利亚与泰国对比

澳大利亚与泰国：热带夜

2014 年热带夜：澳大利亚为 135.1 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 151.3 夜，是澳大利亚的 2.12 倍。

在地图上查看其变化

每年夜数 · CMIP6

澳大利亚与泰国：热带夜2014 年热带夜：澳大利亚为 135.1 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 151.3 夜，是澳大利亚的 2.12 倍。
澳大利亚泰国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 年澳大利亚为 169.9 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚泰国
2014135.1286.4
2013133289.1
2012132.9286.6
2011133.8286.4
2010134.2286
2009132.3286.9
2008132.3284.8
2007131.8283.2
2006128.1284.3
2005131.7281.7
2004131.4287.5
2003132.4279.3
2002129.7280
2001130.1285.5
2000129.7283.4
1999127.7282.5
1998128.1282.7
1997124.5284.8
1996123.9279.8
1995123.5278.7
1994124.4280.8
1993121.4275.6
1992116.7268.8
1991125.1276.7
1990126279.2
1989124.4278.4
1988125.2279.6
1987124.4277.9
1986124.9277.5
1985122.7276
1984123.9277.9
1983122.5273.9
1982124.7275.7
1981123.3277.8
1980123.7277.9
1979122.3278
1978121.2276
1977120.6277.3
1976121.1275.6
1975118.6274.4
1974119.7276
1973123.3280.6
1972120.2273.9
1971120.4273.2
1970118.5276
1969120.9274.8
1968118.9277
1967118.6270.3
1966116.5274.4
1965116.5275.8
1964112.5271.9
1963114.6274.7
1962119275.4
1961121.9278.5
1960120.7276.2
1959120.3274.4
1958121.8278.7
1957119.8277.4
1956119.9277
1955117.5274.6
1954119.9275
1953118.5275.4
1952119.9275.1
1951119.6277.5
1950119.7276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份澳大利亚泰国
2015134116.5–149.2290.6272.2–305
2016134.8118.2–149.5287.1269.8–306.2
2017136.1119.3–149.5290273.8–302.8
2018135.8118.4–151.4292.6275.1–308.7
2019136.6120.4–151.6291.2272.8–306.7
2020136119.8–151.4292.4272.2–307.8
2021135.6118.6–151.2294.2276.3–308.5
2022138.6121.4–155.1294.8277.2–311.9
2023139.9123.6–155.2296.1281.9–310.2
2024141122.4–156.1291.7275.5–307.8
2025140.9121–159.3294276.7–306.3
2026139.4121.9–157.8296278–309.3
2027140.4123.7–156295.8276.3–311.1
2028141.8125.4–158.7297279.3–315.1
2029143.3126–159.6300.3278.7–315
2030140.1125.4–156.4297.7280.2–312.5
2031141.6124.9–156.9300.8282.8–317.1
2032144.6128.6–162.1297.2280.9–311.4
2033144.5127.7–159.2300281.9–315.8
2034145129.2–161.3300.8279–318.4
2035146.5128.8–161.8298.6281.5–317.8
2036146.9128–161.8300.4279.9–316.9
2037146.6130.1–161.6299.8280–315.1
2038148.2131.2–164304.8286.6–319.3
2039146.9130.3–163.4300.9281.9–317
2040147.9130.6–164.6301.6284.5–315.7
2041147.6130.5–165.9303.1285.1–318.8
2042148.2129.2–166.5303.8290–318.3
2043148.9133.1–164.5302285.8–317.9
2044151135.2–166.3304.3286.3–318.8
2045149.3130.9–164.3307.1287.7–324.2
2046151.2135.4–168305.9285.2–321
2047153.5132.9–169.5306.6289.5–321.5
2048154.1135.2–171.4309.4288.9–325.7
2049153.4137.4–170.1308.1287.2–324.1
2050152.3133–170.6307.5291–321.5
2051154.5135.1–171.8312.8294.8–326
2052154.7134.9–175.7310.9291.2–323.4
2053153.8131.8–173308.3289.5–323.3
2054152.8134.4–172.4308.8292.8–322.3
2055155.2138.1–174.8308.6290.6–325.1
2056157139.6–173.6311.3294.9–326.3
2057156.3137.4–172.3308.5286.7–326.4
2058158.3135.3–176.6308291.1–325.1
2059157.9138.9–174.7312.7295.8–325.3
2060158.4140.3–176.8313.1294.6–328.6
2061158.8139.6–175.2314.4289.5–331.1
2062156.1137.8–172.7311.4293.4–330.3
2063160.2140–178.6314.8296.9–327.3
2064159.3140.5–177.9312.5295.4–330
2065156.7136.6–177.5309.6293.1–329.3
2066161.6142–180.6312.1292.6–328
2067162.5141.6–183.1311.2289.6–329.4
2068162.4140.7–180.1310.8292.4–330.6
2069162.6143.3–181315.5296.1–329.5
2070161.4140.4–180.3314.2292.9–330.7
2071162.1142–181.9313.8296.4–330.8
2072162.2142.3–179.6314.8296–329.6
2073163.8144.6–182.6316.5299.9–332.1
2074162.2142.8–181.6317.2295–333.8
2075163.1143–180.9317.2295.3–331.4
2076163.2141.1–181.9317.4299.8–335
2077163.1141.8–181.8317.5297.3–335.9
2078163.9145.8–181.3315.9297.1–331.6
2079163.3143.1–186318.5300.5–332.3
2080163142.7–183.3319.8297.4–337.5
2081165.8142.9–185.5317.7299.5–334.9
2082164.6145–182.6317.9294.8–333
2083164.2141.3–187315297.8–332.9
2084165.6140.7–187.4316295.5–330
2085167.2143.9–187.5322.6300.8–334.7
2086166.8143.2–186.2319.4295.2–335.2
2087165.2142.9–189.1320.2302.2–334.7
2088167.5146–187.8321.4299.8–334.8
2089166.3146.9–184.2318.9296.4–338.1
2090168.6145–188.3317.6304–337.4
2091168.3145.8–186.5320.1299.8–336.1
2092167.4144.8–185.2316.3298–336.4
2093168.2146–191.5316.1297.7–333.7
2094169146.8–187.2323.4301.8–337.3
2095169.5146.9–189.1322.9302.4–338.9
2096170.2145.3–192.8319.6302.8–336.7
2097168.2145.9–187.4319.8299.1–336
2098169.7149.4–190.8320.5303.9–336
2099167.1147.5–187.7319.9303.1–334.4
2100169.9149.9–190.1320.8301.1–336.7

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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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