澳大利亚与越南对比

澳大利亚与越南:热带夜

2014 年热带夜:澳大利亚为 135.1 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 107.5 夜,是澳大利亚的 1.8 倍。

每年夜数 · CMIP6

澳大利亚与越南:热带夜2014 年热带夜:澳大利亚为 135.1 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 107.5 夜,是澳大利亚的 1.8 倍。
澳大利亚越南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,越南的数值都更高。
  • 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,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚越南
2014135.1242.6
2013133243.6
2012132.9242.4
2011133.8241.9
2010134.2240.9
2009132.3240
2008132.3238.7
2007131.8238
2006128.1239.1
2005131.7238.3
2004131.4241.8
2003132.4235.9
2002129.7236.3
2001130.1241.3
2000129.7237
1999127.7236
1998128.1236.8
1997124.5237.1
1996123.9231.4
1995123.5229.9
1994124.4231.2
1993121.4225.3
1992116.7221.9
1991125.1229.8
1990126233.1
1989124.4229.2
1988125.2231.7
1987124.4230.3
1986124.9230.9
1985122.7228
1984123.9230.2
1983122.5224.9
1982124.7227.5
1981123.3229.7
1980123.7228.1
1979122.3228.9
1978121.2227.5
1977120.6229
1976121.1225.8
1975118.6225.8
1974119.7225.7
1973123.3230.3
1972120.2225.6
1971120.4225.5
1970118.5226.1
1969120.9227
1968118.9227.1
1967118.6222.9
1966116.5226.8
1965116.5225.4
1964112.5222.6
1963114.6224.3
1962119227.8
1961121.9229.4
1960120.7228.5
1959120.3226.2
1958121.8230.9
1957119.8228.4
1956119.9228.7
1955117.5227.5
1954119.9226.3
1953118.5228.2
1952119.9228.5
1951119.6229.2
1950119.7228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份澳大利亚越南
2015134116.5–149.2245.8228.2–261.9
2016134.8118.2–149.5243.7226.1–259.4
2017136.1119.3–149.5247229.6–260.7
2018135.8118.4–151.4248.3228.8–263.3
2019136.6120.4–151.6248.1229.2–262.8
2020136119.8–151.4248.8229.6–262.9
2021135.6118.6–151.2251.1233.1–266.7
2022138.6121.4–155.1252.4234.3–266.8
2023139.9123.6–155.2253.4235.4–266.6
2024141122.4–156.1251.3236.7–264.6
2025140.9121–159.3252.4234.1–266.2
2026139.4121.9–157.8252.8232.9–268.5
2027140.4123.7–156253.2237–268.8
2028141.8125.4–158.7254.3237.7–272
2029143.3126–159.6258.1238.5–273.7
2030140.1125.4–156.4256.4240.9–270.1
2031141.6124.9–156.9255.9241.2–270.9
2032144.6128.6–162.1257.4239.1–269.9
2033144.5127.7–159.2258.3241.7–273.2
2034145129.2–161.3258.8240.7–275.8
2035146.5128.8–161.8258.6242.5–275.4
2036146.9128–161.8258.3239.1–273.8
2037146.6130.1–161.6258.7242.4–272.4
2038148.2131.2–164263.4247.6–277.3
2039146.9130.3–163.4260.2243.7–275.9
2040147.9130.6–164.6260.1242.8–274.8
2041147.6130.5–165.9263.1245.9–279
2042148.2129.2–166.5263.6246.5–279
2043148.9133.1–164.5261.4245.5–279.6
2044151135.2–166.3263.2245.2–277.6
2045149.3130.9–164.3265.5249.6–281.4
2046151.2135.4–168264.9246.8–278.1
2047153.5132.9–169.5266.9250.4–282.9
2048154.1135.2–171.4268250.5–283.8
2049153.4137.4–170.1267.8251.2–284.8
2050152.3133–170.6268251.2–283.5
2051154.5135.1–171.8270.9254.3–285.4
2052154.7134.9–175.7268.3253.3–282.8
2053153.8131.8–173268.5250.1–283.2
2054152.8134.4–172.4269.1250.8–283.6
2055155.2138.1–174.8270249.8–284.2
2056157139.6–173.6271.7254.8–290.1
2057156.3137.4–172.3270253–285.7
2058158.3135.3–176.6270.7252.9–286.5
2059157.9138.9–174.7273257.6–286.6
2060158.4140.3–176.8275.7255.6–290.6
2061158.8139.6–175.2273.5254.6–289.5
2062156.1137.8–172.7271.4253.1–290.2
2063160.2140–178.6272.9252.7–288.1
2064159.3140.5–177.9273.8254.4–288.1
2065156.7136.6–177.5272255.8–286.3
2066161.6142–180.6271.8254.4–287.3
2067162.5141.6–183.1270.8252.1–287.6
2068162.4140.7–180.1275.6256.9–292.4
2069162.6143.3–181276.4258.5–292
2070161.4140.4–180.3274.6257.8–292.8
2071162.1142–181.9276.2255.2–294.1
2072162.2142.3–179.6277256.8–291.4
2073163.8144.6–182.6278.5262.7–293.4
2074162.2142.8–181.6277.6259.2–295.8
2075163.1143–180.9276.4258.7–294.4
2076163.2141.1–181.9279.2258.5–296.6
2077163.1141.8–181.8280264.9–294.7
2078163.9145.8–181.3278.4258.6–295.5
2079163.3143.1–186279.3263.4–293.6
2080163142.7–183.3280261.4–296.5
2081165.8142.9–185.5280.4261.2–297.9
2082164.6145–182.6280.9258.9–296
2083164.2141.3–187278.4261.6–295
2084165.6140.7–187.4279257.4–293.8
2085167.2143.9–187.5281.3265–297.8
2086166.8143.2–186.2282.3260.2–297.5
2087165.2142.9–189.1281.9261.3–300.7
2088167.5146–187.8283.1265.7–301.5
2089166.3146.9–184.2280.8261.2–301.6
2090168.6145–188.3280.5264.5–297.6
2091168.3145.8–186.5283.3264.3–298.9
2092167.4144.8–185.2281.1261.5–299.4
2093168.2146–191.5280.5263.4–296.1
2094169146.8–187.2283264.5–300
2095169.5146.9–189.1285.5264.5–302.9
2096170.2145.3–192.8281.8264.8–299.8
2097168.2145.9–187.4281.5263.3–299
2098169.7149.4–190.8282.5263.9–301.5
2099167.1147.5–187.7282.7265.1–298
2100169.9149.9–190.1282.7261–298.2

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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。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

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