澳大利亚与马来西亚对比

澳大利亚与马来西亚:热带夜

2014 年热带夜:澳大利亚为 135.1 夜,马来西亚为 323 夜(CMIP6 气候模型中位数模拟)。 2014 年马来西亚的数值较高,高出 187.9 夜,是澳大利亚的 2.39 倍。

每年夜数 · CMIP6

澳大利亚与马来西亚:热带夜2014 年热带夜:澳大利亚为 135.1 夜,马来西亚为 323 夜(CMIP6 气候模型中位数模拟)。 2014 年马来西亚的数值较高,高出 187.9 夜,是澳大利亚的 2.39 倍。
澳大利亚马来西亚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,马来西亚的数值都更高。
  • 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,马来西亚为 354.8 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚马来西亚
2014135.1323
2013133323.9
2012132.9323.3
2011133.8320.9
2010134.2320.9
2009132.3320.3
2008132.3317.9
2007131.8317.8
2006128.1317.3
2005131.7318.4
2004131.4319.4
2003132.4316
2002129.7316
2001130.1316.5
2000129.7314.5
1999127.7312.9
1998128.1312.5
1997124.5310.6
1996123.9307.1
1995123.5307.3
1994124.4304.1
1993121.4298.2
1992116.7293.6
1991125.1308.9
1990126310.4
1989124.4306.9
1988125.2306.8
1987124.4306
1986124.9305.5
1985122.7301.7
1984123.9302.1
1983122.5297.2
1982124.7302.6
1981123.3303.7
1980123.7303.3
1979122.3302.4
1978121.2301
1977120.6301.3
1976121.1298.9
1975118.6297.7
1974119.7298.1
1973123.3299.1
1972120.2297
1971120.4298.3
1970118.5296
1969120.9297.4
1968118.9295.2
1967118.6293.1
1966116.5296.2
1965116.5293.1
1964112.5291.3
1963114.6291.6
1962119299.1
1961121.9299.5
1960120.7300.1
1959120.3299.9
1958121.8301.7
1957119.8299
1956119.9298.1
1955117.5299.3
1954119.9296.8
1953118.5298.8
1952119.9299.4
1951119.6299.1
1950119.7300
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份澳大利亚马来西亚
2015134116.5–149.2324.4308.5–333.7
2016134.8118.2–149.5323.8310.5–334.9
2017136.1119.3–149.5325.6309.9–334.4
2018135.8118.4–151.4325.7310.7–335.4
2019136.6120.4–151.6326.4311.9–335.3
2020136119.8–151.4328313.4–337.7
2021135.6118.6–151.2328.8314–336.3
2022138.6121.4–155.1329315.3–339
2023139.9123.6–155.2330.1316–340.5
2024141122.4–156.1332319.6–340.7
2025140.9121–159.3330.3317.7–342
2026139.4121.9–157.8330.2315.1–342.9
2027140.4123.7–156331315.2–342.4
2028141.8125.4–158.7332.4319–341.9
2029143.3126–159.6334.4322.5–344.9
2030140.1125.4–156.4333.4319.2–342.6
2031141.6124.9–156.9333.8317.1–342.5
2032144.6128.6–162.1336.5323.3–345.9
2033144.5127.7–159.2336.4322.5–343.3
2034145129.2–161.3334.8322.7–344.3
2035146.5128.8–161.8334.7323.3–347.9
2036146.9128–161.8336.9320.7–346.2
2037146.6130.1–161.6338.3325.4–345.3
2038148.2131.2–164339.7326.9–347.4
2039146.9130.3–163.4340326–347.4
2040147.9130.6–164.6338.6325.1–349
2041147.6130.5–165.9340.3326.3–348.1
2042148.2129.2–166.5339.9326.9–349.6
2043148.9133.1–164.5338.3324.3–348.3
2044151135.2–166.3340.6326.3–350.4
2045149.3130.9–164.3340.9327.4–349.8
2046151.2135.4–168343.3327.6–351.4
2047153.5132.9–169.5343325.3–352.9
2048154.1135.2–171.4342.6329–352.5
2049153.4137.4–170.1343.8331.1–354.1
2050152.3133–170.6342.7328.1–353.5
2051154.5135.1–171.8344.5330.7–354.3
2052154.7134.9–175.7345.1330.3–355
2053153.8131.8–173344.2331–353.5
2054152.8134.4–172.4345330.1–354.6
2055155.2138.1–174.8346.1332–354.3
2056157139.6–173.6346.5332.2–356.6
2057156.3137.4–172.3347.9332.3–355.4
2058158.3135.3–176.6347333.5–355.6
2059157.9138.9–174.7346.9333.4–356.2
2060158.4140.3–176.8349.7334.9–357.3
2061158.8139.6–175.2348.4334.1–356.1
2062156.1137.8–172.7348.4331.8–357.7
2063160.2140–178.6348.7333.2–357.7
2064159.3140.5–177.9349.1333.8–357.5
2065156.7136.6–177.5348.6334.6–356.8
2066161.6142–180.6349.3335–357.5
2067162.5141.6–183.1349.1334–356.6
2068162.4140.7–180.1350334.6–358.7
2069162.6143.3–181349.5334.2–357.9
2070161.4140.4–180.3349.2336.2–357.7
2071162.1142–181.9350.9336.1–358.6
2072162.2142.3–179.6351337.2–357.9
2073163.8144.6–182.6351.1338.7–359.9
2074162.2142.8–181.6350337.8–359.4
2075163.1143–180.9350.5335.4–358.1
2076163.2141.1–181.9351.6337.5–359.7
2077163.1141.8–181.8352.4336.4–359.9
2078163.9145.8–181.3351.3338.9–358.8
2079163.3143.1–186351.8337.9–359.7
2080163142.7–183.3352.4338.8–360.7
2081165.8142.9–185.5352.2337.3–359.7
2082164.6145–182.6352.7336.9–358.9
2083164.2141.3–187352.5339.6–360.4
2084165.6140.7–187.4353.5337.9–360.4
2085167.2143.9–187.5352.9340.2–360.2
2086166.8143.2–186.2352.8339.9–360
2087165.2142.9–189.1352.8338.4–361
2088167.5146–187.8354340–360.9
2089166.3146.9–184.2353.7339.7–359.9
2090168.6145–188.3353.3340.3–360.6
2091168.3145.8–186.5354.7338.9–361
2092167.4144.8–185.2355.3340.4–361.7
2093168.2146–191.5353.5339.3–362
2094169146.8–187.2355.4341.2–360.4
2095169.5146.9–189.1355339.4–360.6
2096170.2145.3–192.8353.6339.6–363.1
2097168.2145.9–187.4354.3339.5–360.6
2098169.7149.4–190.8354.8340.2–360.7
2099167.1147.5–187.7353.7340–361.8
2100169.9149.9–190.1354.8340.4–360.8

分别查看各国

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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