澳大利亚与缅甸对比

澳大利亚与缅甸:热带夜

2014 年热带夜:澳大利亚为 135.1 夜,缅甸为 201.9 夜(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 66.8 夜,是澳大利亚的 1.49 倍。

每年夜数 · CMIP6

澳大利亚与缅甸:热带夜2014 年热带夜:澳大利亚为 135.1 夜,缅甸为 201.9 夜(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 66.8 夜,是澳大利亚的 1.49 倍。
澳大利亚缅甸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,缅甸的数值都更高。
  • 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,缅甸为 244.5 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚缅甸
2014135.1201.9
2013133203.1
2012132.9201.1
2011133.8200.9
2010134.2202.1
2009132.3199
2008132.3198.1
2007131.8196.8
2006128.1198.2
2005131.7196.7
2004131.4200.3
2003132.4195.3
2002129.7196.6
2001130.1199
2000129.7197.2
1999127.7196.4
1998128.1194.7
1997124.5194.4
1996123.9191.4
1995123.5189.9
1994124.4188.8
1993121.4185
1992116.7180.5
1991125.1191.7
1990126191.5
1989124.4190.3
1988125.2190.7
1987124.4190.8
1986124.9189.7
1985122.7187.4
1984123.9189.1
1983122.5182.3
1982124.7186.7
1981123.3188.4
1980123.7189
1979122.3189.8
1978121.2186.8
1977120.6187.4
1976121.1185.8
1975118.6183.6
1974119.7185.5
1973123.3187.5
1972120.2184.8
1971120.4185.2
1970118.5184.9
1969120.9184.3
1968118.9183.7
1967118.6182.3
1966116.5186.2
1965116.5182.9
1964112.5180.6
1963114.6183.1
1962119187.3
1961121.9188.7
1960120.7187.1
1959120.3186.5
1958121.8187.1
1957119.8186.2
1956119.9187.9
1955117.5185.9
1954119.9185.7
1953118.5185
1952119.9186.1
1951119.6187.1
1950119.7186.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份澳大利亚缅甸
2015134116.5–149.2205.2186.4–218.9
2016134.8118.2–149.5202.8186.2–218.8
2017136.1119.3–149.5203.4187.3–218.3
2018135.8118.4–151.4205.5190.9–219.9
2019136.6120.4–151.6205.2186.7–222.2
2020136119.8–151.4208.2188.5–223.5
2021135.6118.6–151.2208.9191.2–224.1
2022138.6121.4–155.1209.9192.7–224.9
2023139.9123.6–155.2210.6195.4–226.3
2024141122.4–156.1210.4193.8–226.6
2025140.9121–159.3209.9190.3–225.2
2026139.4121.9–157.8212.2194.3–229.2
2027140.4123.7–156212195.6–228.6
2028141.8125.4–158.7213195.7–227.2
2029143.3126–159.6215.3193.9–231.9
2030140.1125.4–156.4212.2194.9–228
2031141.6124.9–156.9214.3197.2–230.8
2032144.6128.6–162.1215199.3–229.6
2033144.5127.7–159.2215.5198.5–230.1
2034145129.2–161.3214.9198.4–233.5
2035146.5128.8–161.8214.9199.2–236.8
2036146.9128–161.8216198.7–234.5
2037146.6130.1–161.6217.2199.6–233.5
2038148.2131.2–164220.7204.8–235.1
2039146.9130.3–163.4219.7202.4–234.3
2040147.9130.6–164.6219.2202.9–235
2041147.6130.5–165.9220.7203.9–237.7
2042148.2129.2–166.5221.8206.1–237.2
2043148.9133.1–164.5219.5201.2–237.1
2044151135.2–166.3221.4201.6–239.6
2045149.3130.9–164.3223.7204.8–241.5
2046151.2135.4–168223.2203.2–240.2
2047153.5132.9–169.5224.3204.8–241.1
2048154.1135.2–171.4226.4207.7–243.8
2049153.4137.4–170.1226.5205.6–242.8
2050152.3133–170.6227209.3–243.5
2051154.5135.1–171.8229.6212.4–246.4
2052154.7134.9–175.7227.2208.6–244.2
2053153.8131.8–173227.9208.7–247.7
2054152.8134.4–172.4227.9209.6–244.8
2055155.2138.1–174.8229.1209.8–247.5
2056157139.6–173.6231.8210.4–252.1
2057156.3137.4–172.3228.6208–249
2058158.3135.3–176.6228.9208.8–249
2059157.9138.9–174.7230.7212.1–247.5
2060158.4140.3–176.8234.7211.1–251.5
2061158.8139.6–175.2231.9213–247.7
2062156.1137.8–172.7233.6209.9–252.8
2063160.2140–178.6233215.4–250.5
2064159.3140.5–177.9233.2214.4–251.3
2065156.7136.6–177.5230.7210.4–250.7
2066161.6142–180.6233.5214.3–251.2
2067162.5141.6–183.1233211.5–253.3
2068162.4140.7–180.1233.1212.4–253.7
2069162.6143.3–181236.1214.6–253.4
2070161.4140.4–180.3235.9218.1–253.4
2071162.1142–181.9235.1213.5–259.6
2072162.2142.3–179.6234.6216.1–252.6
2073163.8144.6–182.6237.2219.3–257.2
2074162.2142.8–181.6236.4215.7–254.5
2075163.1143–180.9236.7214.4–255.9
2076163.2141.1–181.9237.7216–257
2077163.1141.8–181.8237.5219–258.7
2078163.9145.8–181.3238.5217.3–257.8
2079163.3143.1–186238.5219.2–257.2
2080163142.7–183.3240.5218.8–258.3
2081165.8142.9–185.5240219.7–260.9
2082164.6145–182.6239.4217.1–258.8
2083164.2141.3–187239.1220.5–259.2
2084165.6140.7–187.4241.3218.9–260.6
2085167.2143.9–187.5241.7218.8–260.7
2086166.8143.2–186.2241.7217.4–262.7
2087165.2142.9–189.1241.4220.5–260.9
2088167.5146–187.8241.8222.3–261.5
2089166.3146.9–184.2240.7221.2–262.6
2090168.6145–188.3241.3224.4–260.9
2091168.3145.8–186.5242.6220.3–262.5
2092167.4144.8–185.2241.9221.6–263.3
2093168.2146–191.5242.1220.2–260
2094169146.8–187.2242.5222.5–261.9
2095169.5146.9–189.1244.9224–264.4
2096170.2145.3–192.8243.9221.1–266.5
2097168.2145.9–187.4243.6219.6–264.2
2098169.7149.4–190.8243.6222.5–263.9
2099167.1147.5–187.7244.7221.8–263.5
2100169.9149.9–190.1244.5223.2–261.8

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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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