澳大利亚与墨西哥对比

澳大利亚与墨西哥:热带夜

2014 年热带夜:澳大利亚为 135.1 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年澳大利亚的数值较高,高出 31.4 夜,是墨西哥的 1.3 倍。

每年夜数 · CMIP6

澳大利亚与墨西哥:热带夜2014 年热带夜:澳大利亚为 135.1 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年澳大利亚的数值较高,高出 31.4 夜,是墨西哥的 1.3 倍。
澳大利亚墨西哥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,澳大利亚的数值都更高。
  • 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,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚墨西哥
2014135.1103.7
2013133103.9
2012132.9102.8
2011133.8102.9
2010134.2101.5
2009132.3101.8
2008132.3100.1
2007131.899.1
2006128.199.8
2005131.799.5
2004131.499.4
2003132.498.3
2002129.799.1
2001130.198.7
2000129.797.9
1999127.796.6
1998128.195.8
1997124.595.9
1996123.993.8
1995123.592.7
1994124.490.7
1993121.489
1992116.788.5
1991125.193.4
199012694.9
1989124.493
1988125.292.1
1987124.492
1986124.990.2
1985122.790
1984123.988
1983122.586.7
1982124.788.7
1981123.391.5
1980123.790.1
1979122.390.8
1978121.289
1977120.689
1976121.189.1
1975118.686.8
1974119.787.9
1973123.388.6
1972120.287.7
1971120.486.8
1970118.586.1
1969120.987.5
1968118.987.1
1967118.686.7
1966116.586.4
1965116.584.9
1964112.584.7
1963114.687.1
196211988
1961121.989.5
1960120.789.7
1959120.389.6
1958121.889.1
1957119.889
1956119.988.5
1955117.588.2
1954119.988.4
1953118.588.6
1952119.987.8
1951119.689.4
1950119.788.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份澳大利亚墨西哥
2015134116.5–149.2106.192.9–118.4
2016134.8118.2–149.5107.695–120
2017136.1119.3–149.5108.696.3–119.7
2018135.8118.4–151.410997.1–120.4
2019136.6120.4–151.6110.396.4–123
2020136119.8–151.4109.696.8–121.8
2021135.6118.6–151.2111.296.9–124.1
2022138.6121.4–155.1109.796–121.7
2023139.9123.6–155.2111.898.6–125.3
2024141122.4–156.1112.298.2–126.2
2025140.9121–159.311298.8–125.8
2026139.4121.9–157.8113.999.5–126.4
2027140.4123.7–156112.999.5–128.3
2028141.8125.4–158.7115.2101.9–127.9
2029143.3126–159.6115.6101.9–127.9
2030140.1125.4–156.4115.9101.7–128.4
2031141.6124.9–156.9116.1100.9–129.9
2032144.6128.6–162.1116.1102.5–129.1
2033144.5127.7–159.2117.5102.5–131.1
2034145129.2–161.3117.2104.1–130.3
2035146.5128.8–161.8116.4103.1–130.3
2036146.9128–161.8117.8105.1–131
2037146.6130.1–161.6118.6104.3–131.7
2038148.2131.2–164121107.5–133.4
2039146.9130.3–163.4121.3107–135.6
2040147.9130.6–164.6121.9108.1–135.1
2041147.6130.5–165.9121.3105.3–134.6
2042148.2129.2–166.5122.7107.7–137.1
2043148.9133.1–164.5122.4108.1–137.5
2044151135.2–166.3121.9108–135.6
2045149.3130.9–164.3123.1108.8–139.2
2046151.2135.4–168123.8109.9–139.4
2047153.5132.9–169.5125.6111.9–139.4
2048154.1135.2–171.4126.3113–140.3
2049153.4137.4–170.1127111.2–140.8
2050152.3133–170.6128.1112.6–142.5
2051154.5135.1–171.8127.2113.4–140.8
2052154.7134.9–175.7126.2112.5–141.1
2053153.8131.8–173128.4111.5–142.7
2054152.8134.4–172.4128.1113.1–142.3
2055155.2138.1–174.8129114.4–144.7
2056157139.6–173.6129.5114.3–143.8
2057156.3137.4–172.3130.3113.5–145.9
2058158.3135.3–176.6128.8114.1–144.5
2059157.9138.9–174.7129.5114.5–144.5
2060158.4140.3–176.8131.4115.5–146.5
2061158.8139.6–175.2131.3118.4–146.8
2062156.1137.8–172.7130.8115.1–146.3
2063160.2140–178.6131.2115.6–147.9
2064159.3140.5–177.9132.2116.5–147.8
2065156.7136.6–177.5133.1115.8–148.6
2066161.6142–180.6133.3117.2–149.4
2067162.5141.6–183.1133.3117–150.3
2068162.4140.7–180.1134.6117.4–150.5
2069162.6143.3–181134.4117.8–150.9
2070161.4140.4–180.3134.2116.7–151.8
2071162.1142–181.9136.3120.8–152.7
2072162.2142.3–179.6137.2119.9–153.1
2073163.8144.6–182.6136.1119.1–153.6
2074162.2142.8–181.6136119.7–152.2
2075163.1143–180.9135.2118.5–151.8
2076163.2141.1–181.9136.3117.4–154.7
2077163.1141.8–181.8136.8119.6–152.8
2078163.9145.8–181.3137.1118.3–154.2
2079163.3143.1–186138.1121.3–157.1
2080163142.7–183.3137.6120.5–157.9
2081165.8142.9–185.5137.8120.7–154.7
2082164.6145–182.6138.7121.6–155.2
2083164.2141.3–187139.2119.3–158.8
2084165.6140.7–187.4140.3123.4–157.5
2085167.2143.9–187.5139.2120.9–157.2
2086166.8143.2–186.2139.8121–157.8
2087165.2142.9–189.1139.5121.5–157.4
2088167.5146–187.8141121.8–159.9
2089166.3146.9–184.2140.4121.7–158.9
2090168.6145–188.3141.2123–160.7
2091168.3145.8–186.5141.8123–161.6
2092167.4144.8–185.2141.3122.5–159.3
2093168.2146–191.5141.4124.3–161
2094169146.8–187.2142123.3–159.6
2095169.5146.9–189.1143.5124–160.7
2096170.2145.3–192.8142.3125–161.3
2097168.2145.9–187.4141.2123.2–160
2098169.7149.4–190.8142.2122.5–162
2099167.1147.5–187.7141.8122.4–160.7
2100169.9149.9–190.1142.8124.3–160.8

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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