澳大利亚与巴西对比

澳大利亚与巴西：热带夜

2014 年热带夜：澳大利亚为 135.1 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 146.9 夜，是澳大利亚的 2.09 倍。

在地图上查看其变化

每年夜数 · CMIP6

澳大利亚与巴西：热带夜2014 年热带夜：澳大利亚为 135.1 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 146.9 夜，是澳大利亚的 2.09 倍。
澳大利亚巴西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，巴西的数值都更高。
  • 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，巴西为 317.3 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚巴西
2014135.1282
2013133282.5
2012132.9283.6
2011133.8281.8
2010134.2280.2
2009132.3279.2
2008132.3277.8
2007131.8275.9
2006128.1275.4
2005131.7275.8
2004131.4278.5
2003132.4276.7
2002129.7276.2
2001130.1277.7
2000129.7273.3
1999127.7271
1998128.1273.6
1997124.5270.9
1996123.9264.7
1995123.5263.8
1994124.4263.6
1993121.4258.3
1992116.7252.8
1991125.1269.7
1990126272.5
1989124.4267.1
1988125.2264.7
1987124.4265.9
1986124.9265.7
1985122.7260.6
1984123.9261.1
1983122.5255.9
1982124.7264.8
1981123.3265.3
1980123.7262
1979122.3261.2
1978121.2259.7
1977120.6261.8
1976121.1258.4
1975118.6252.4
1974119.7258.7
1973123.3261
1972120.2258.1
1971120.4256.5
1970118.5254.5
1969120.9255.1
1968118.9254.9
1967118.6250.3
1966116.5254.5
1965116.5250.8
1964112.5246.2
1963114.6241.9
1962119257.9
1961121.9258.2
1960120.7260.3
1959120.3255.7
1958121.8258.1
1957119.8256.6
1956119.9251.2
1955117.5257.2
1954119.9258
1953118.5255.2
1952119.9255.8
1951119.6256.3
1950119.7254.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份澳大利亚巴西
2015134116.5–149.2284257.6–299.5
2016134.8118.2–149.5281.5261.4–296.3
2017136.1119.3–149.5284.1263.2–297.8
2018135.8118.4–151.4283.4263.1–298.8
2019136.6120.4–151.6283.7262.9–302.4
2020136119.8–151.4286.3264.2–303.6
2021135.6118.6–151.2287.9266.9–302.3
2022138.6121.4–155.1289.6270.7–303.9
2023139.9123.6–155.2287.3270.5–303
2024141122.4–156.1291.5268.2–304.6
2025140.9121–159.3289.6269.1–304.8
2026139.4121.9–157.8289.7266.2–305.1
2027140.4123.7–156289.5269.1–303.7
2028141.8125.4–158.7291.2271.9–306
2029143.3126–159.6295.5276.3–309.6
2030140.1125.4–156.4292.2269.1–306.9
2031141.6124.9–156.9295.3274–308.9
2032144.6128.6–162.1296.8280.1–310.9
2033144.5127.7–159.2295.4273.3–308.5
2034145129.2–161.3294.3273.5–311.8
2035146.5128.8–161.8295.2274.4–310.9
2036146.9128–161.8295.1278.2–307.8
2037146.6130.1–161.6299.9283.7–311.3
2038148.2131.2–164299.6283.5–312.1
2039146.9130.3–163.4296.9279.9–311
2040147.9130.6–164.6298.5279.4–311.9
2041147.6130.5–165.9301.4282.2–314.1
2042148.2129.2–166.5300.6277.8–314.7
2043148.9133.1–164.5298.2279.8–312.7
2044151135.2–166.3300.3281.2–315.6
2045149.3130.9–164.3299.9279.7–313.1
2046151.2135.4–168302.8285.8–316.6
2047153.5132.9–169.5303.3285–316.4
2048154.1135.2–171.4304.4287.3–317.3
2049153.4137.4–170.1305.4288.4–318.5
2050152.3133–170.6303.9283.9–316.2
2051154.5135.1–171.8305.7287.5–317.5
2052154.7134.9–175.7305.9290.6–318.8
2053153.8131.8–173305.3285.9–317.5
2054152.8134.4–172.4306.1288.4–319.3
2055155.2138.1–174.8306.4290.8–319.8
2056157139.6–173.6306.7288.3–321.1
2057156.3137.4–172.3306.4287.6–321.1
2058158.3135.3–176.6309291–321.4
2059157.9138.9–174.7310.4290.7–322.8
2060158.4140.3–176.8311.6294.4–325.1
2061158.8139.6–175.2307.5290.3–321.2
2062156.1137.8–172.7309291.5–322.8
2063160.2140–178.6310.8290.6–322.8
2064159.3140.5–177.9309.6290.2–321.1
2065156.7136.6–177.5311.1291.6–323.1
2066161.6142–180.6312.2294.2–324.2
2067162.5141.6–183.1310.9291.5–323.3
2068162.4140.7–180.1311.5293–324.5
2069162.6143.3–181310.6292.2–323.6
2070161.4140.4–180.3312.7293–325.3
2071162.1142–181.9311.5292.1–323.9
2072162.2142.3–179.6313.3297.8–325.5
2073163.8144.6–182.6313.8298.6–327.2
2074162.2142.8–181.6311.4292.4–323.5
2075163.1143–180.9310.9291.5–324.5
2076163.2141.1–181.9314.2294.4–327.7
2077163.1141.8–181.8315.1295.6–326.8
2078163.9145.8–181.3314.9296.3–327.1
2079163.3143.1–186313292.8–326.8
2080163142.7–183.3311.9294.7–325.4
2081165.8142.9–185.5313.5295.5–325.6
2082164.6145–182.6315296.8–327.1
2083164.2141.3–187315.7295.3–328.7
2084165.6140.7–187.4316.6298.5–327.9
2085167.2143.9–187.5317.4299.3–329.8
2086166.8143.2–186.2315.8294–328
2087165.2142.9–189.1316.5297.9–328.5
2088167.5146–187.8315.6297.3–328.8
2089166.3146.9–184.2315296.6–327.9
2090168.6145–188.3316298.9–330.3
2091168.3145.8–186.5317298.1–330.6
2092167.4144.8–185.2317.6298.7–330.7
2093168.2146–191.5316.3297.5–328.6
2094169146.8–187.2316.4300.2–327.5
2095169.5146.9–189.1319299.8–330.7
2096170.2145.3–192.8317.7299.5–330.8
2097168.2145.9–187.4316.9297.8–329
2098169.7149.4–190.8318.6299.9–331.9
2099167.1147.5–187.7318.1300–330.2
2100169.9149.9–190.1317.3298.4–330.3

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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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