澳大利亚与孟加拉国对比

澳大利亚与孟加拉国：热带夜

2014 年热带夜：澳大利亚为 135.1 夜，孟加拉国为 239.9 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 104.8 夜，是澳大利亚的 1.78 倍。

在地图上查看其变化

每年夜数 · CMIP6

澳大利亚与孟加拉国：热带夜2014 年热带夜：澳大利亚为 135.1 夜，孟加拉国为 239.9 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 104.8 夜，是澳大利亚的 1.78 倍。
澳大利亚孟加拉国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，孟加拉国的数值都更高。
  • 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，孟加拉国为 269.8 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚孟加拉国
2014135.1239.9
2013133239
2012132.9240.4
2011133.8240.5
2010134.2241
2009132.3238.6
2008132.3236.7
2007131.8236.9
2006128.1238.9
2005131.7238.2
2004131.4238.7
2003132.4236.5
2002129.7237.6
2001130.1237.2
2000129.7239.3
1999127.7236.6
1998128.1235.5
1997124.5235.5
1996123.9235.5
1995123.5234.8
1994124.4233.6
1993121.4232.2
1992116.7228
1991125.1233.4
1990126234.6
1989124.4235.7
1988125.2235.1
1987124.4236.4
1986124.9233.8
1985122.7233.6
1984123.9236
1983122.5230
1982124.7232.3
1981123.3235.9
1980123.7233.4
1979122.3234.5
1978121.2231.8
1977120.6232.3
1976121.1232
1975118.6231.3
1974119.7232.9
1973123.3232.1
1972120.2234.3
1971120.4233.1
1970118.5232.5
1969120.9231.1
1968118.9229.7
1967118.6231.6
1966116.5232.6
1965116.5232.5
1964112.5229.3
1963114.6233.8
1962119231.9
1961121.9236.2
1960120.7232.5
1959120.3234.7
1958121.8233.5
1957119.8232.5
1956119.9234.3
1955117.5230.2
1954119.9232.9
1953118.5234
1952119.9230.3
1951119.6233.5
1950119.7233.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份澳大利亚孟加拉国
2015134116.5–149.2241.2227–252.4
2016134.8118.2–149.5237.9226.6–249.3
2017136.1119.3–149.5239.8227.5–249.4
2018135.8118.4–151.4242.6227–255
2019136.6120.4–151.6241.2228.5–251.9
2020136119.8–151.4242.6229.3–254.4
2021135.6118.6–151.2244.3230.4–254.4
2022138.6121.4–155.1243.8231.5–254.2
2023139.9123.6–155.2243.5229.2–254.5
2024141122.4–156.1245.7231.4–257.1
2025140.9121–159.3242.5229.4–253.9
2026139.4121.9–157.8243.9227.9–258.1
2027140.4123.7–156247.1232.8–259.3
2028141.8125.4–158.7244.2232.2–254.4
2029143.3126–159.6247.3232.7–261.5
2030140.1125.4–156.4243.9232.3–255.2
2031141.6124.9–156.9245.1232.9–262.3
2032144.6128.6–162.1247.6236.6–257.8
2033144.5127.7–159.2245.3231.7–256.6
2034145129.2–161.3246.3233.2–260.4
2035146.5128.8–161.8246.4234.1–260.9
2036146.9128–161.8246.2228.6–260.4
2037146.6130.1–161.6247.7235.4–260.2
2038148.2131.2–164249232.1–261
2039146.9130.3–163.4250234.4–262.7
2040147.9130.6–164.6248.9235.5–260.5
2041147.6130.5–165.9248.3235.6–261.9
2042148.2129.2–166.5252.5237.8–265.3
2043148.9133.1–164.5250.8234.7–263.4
2044151135.2–166.3251.8239.1–265.2
2045149.3130.9–164.3250.3239.1–265.6
2046151.2135.4–168252.7238.9–267.8
2047153.5132.9–169.5253.9239.4–267.1
2048154.1135.2–171.4254.4242.7–270.5
2049153.4137.4–170.1253.7241.5–266.4
2050152.3133–170.6254.6242.5–269.2
2051154.5135.1–171.8254.7242.7–270.1
2052154.7134.9–175.7252.3240.2–264.6
2053153.8131.8–173256.9244–272.4
2054152.8134.4–172.4255.9243.5–269.4
2055155.2138.1–174.8255.2243.8–273.6
2056157139.6–173.6259.1243.6–274.7
2057156.3137.4–172.3257.5243.8–273.7
2058158.3135.3–176.6257.4245.6–274.2
2059157.9138.9–174.7258.3246.4–271.8
2060158.4140.3–176.8259.2246.1–272.6
2061158.8139.6–175.2257.7244.8–270.1
2062156.1137.8–172.7260.4246.4–274.2
2063160.2140–178.6259.9241.3–272.7
2064159.3140.5–177.9260.2245.9–273.1
2065156.7136.6–177.5259.8244.1–274.7
2066161.6142–180.6260246.6–274.6
2067162.5141.6–183.1261.4246.4–272.3
2068162.4140.7–180.1260.1245.8–274.8
2069162.6143.3–181263.3249.8–276.6
2070161.4140.4–180.3259.6245.8–272.6
2071162.1142–181.9262.2248.7–283.4
2072162.2142.3–179.6259.8248.6–276
2073163.8144.6–182.6264.1246.6–277.2
2074162.2142.8–181.6262.6248.3–276.6
2075163.1143–180.9263.6248.5–277.7
2076163.2141.1–181.9261.6251–276.9
2077163.1141.8–181.8264251.1–279.8
2078163.9145.8–181.3265251.6–281.6
2079163.3143.1–186263.8248.5–277.2
2080163142.7–183.3266.8251.9–280.3
2081165.8142.9–185.5266.5250.7–279.9
2082164.6145–182.6264249.6–277.3
2083164.2141.3–187266.6251.8–282.8
2084165.6140.7–187.4264.8253.1–284.2
2085167.2143.9–187.5265.4251.2–283.4
2086166.8143.2–186.2268.2252.8–285.3
2087165.2142.9–189.1265.7251.3–280.8
2088167.5146–187.8267.2252.6–284.4
2089166.3146.9–184.2267.1252.5–286.7
2090168.6145–188.3267.9254.9–283.4
2091168.3145.8–186.5267.7254.5–282.2
2092167.4144.8–185.2268.8253.6–281.7
2093168.2146–191.5268.1251.7–287
2094169146.8–187.2267.4251.3–287.4
2095169.5146.9–189.1270.8253.7–284.9
2096170.2145.3–192.8267.9250.5–285.8
2097168.2145.9–187.4269.3254.9–287.3
2098169.7149.4–190.8268.8252.4–284.9
2099167.1147.5–187.7269253–282.3
2100169.9149.9–190.1269.8254.8–284.9

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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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