澳大利亚与柬埔寨对比

澳大利亚与柬埔寨：热带夜

2014 年热带夜：澳大利亚为 135.1 夜，柬埔寨为 337.4 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 202.3 夜，是澳大利亚的 2.5 倍。

在地图上查看其变化

每年夜数 · CMIP6

澳大利亚与柬埔寨：热带夜2014 年热带夜：澳大利亚为 135.1 夜，柬埔寨为 337.4 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 202.3 夜，是澳大利亚的 2.5 倍。
澳大利亚柬埔寨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，柬埔寨的数值都更高。
  • 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，柬埔寨为 357.6 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚柬埔寨
2014135.1337.4
2013133342.5
2012132.9340.1
2011133.8338.3
2010134.2338.2
2009132.3339.2
2008132.3334.9
2007131.8336.1
2006128.1336
2005131.7334
2004131.4338.1
2003132.4332.9
2002129.7333.3
2001130.1337.1
2000129.7335.9
1999127.7335.1
1998128.1334.8
1997124.5336.8
1996123.9330.5
1995123.5328.7
1994124.4334.3
1993121.4329.9
1992116.7321.5
1991125.1328.1
1990126333.3
1989124.4330.3
1988125.2332
1987124.4329.7
1986124.9330.9
1985122.7330.8
1984123.9331.2
1983122.5328.7
1982124.7329.3
1981123.3331.2
1980123.7329.9
1979122.3330.4
1978121.2327.5
1977120.6331.6
1976121.1329.2
1975118.6328.1
1974119.7326.8
1973123.3331.2
1972120.2327.1
1971120.4327.4
1970118.5327.9
1969120.9327.4
1968118.9327.6
1967118.6323.9
1966116.5326.4
1965116.5329.8
1964112.5327.1
1963114.6328.6
1962119326.2
1961121.9332.3
1960120.7329
1959120.3328.5
1958121.8332.7
1957119.8331.1
1956119.9330
1955117.5326.8
1954119.9329
1953118.5329.6
1952119.9329.2
1951119.6330.9
1950119.7328.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份澳大利亚柬埔寨
2015134116.5–149.2340323.1–351.2
2016134.8118.2–149.5339.6325.3–352.5
2017136.1119.3–149.5341.9327.4–350.7
2018135.8118.4–151.4343.5320.1–353.1
2019136.6120.4–151.6340.8327.2–352.1
2020136119.8–151.4343325.7–352.6
2021135.6118.6–151.2345.2328.4–353
2022138.6121.4–155.1344.4332.5–353.4
2023139.9123.6–155.2344.7333.7–355.1
2024141122.4–156.1342.1327.5–352.9
2025140.9121–159.3343.4332.6–351
2026139.4121.9–157.8343.9324.7–353.4
2027140.4123.7–156345.3330.6–354.2
2028141.8125.4–158.7346.5331–356.9
2029143.3126–159.6346.5330.1–357.3
2030140.1125.4–156.4346.7332.4–355.4
2031141.6124.9–156.9347.7332.3–356.7
2032144.6128.6–162.1347.5332.3–354.7
2033144.5127.7–159.2346.5331.7–358.1
2034145129.2–161.3348.1335.3–357
2035146.5128.8–161.8347.7330.1–357.7
2036146.9128–161.8348.2329.7–355.8
2037146.6130.1–161.6347.4334.6–355.4
2038148.2131.2–164348.9335.4–357.3
2039146.9130.3–163.4349.3335.7–358.3
2040147.9130.6–164.6348.9339.2–356.6
2041147.6130.5–165.9349.9337.3–358.1
2042148.2129.2–166.5348.1336.5–357.9
2043148.9133.1–164.5348.4336.5–357.3
2044151135.2–166.3348.6337.6–357.8
2045149.3130.9–164.3349.4335.2–360.2
2046151.2135.4–168351.3337.9–359.4
2047153.5132.9–169.5352.1341.4–359.4
2048154.1135.2–171.4351.1338.7–360.6
2049153.4137.4–170.1352.5339.7–360
2050152.3133–170.6352.6340.1–359.7
2051154.5135.1–171.8354.4343.2–360.9
2052154.7134.9–175.7353.3343.5–359.5
2053153.8131.8–173351.8340.5–358.9
2054152.8134.4–172.4352343.5–359.3
2055155.2138.1–174.8352.8339.5–359.2
2056157139.6–173.6353.4339.8–360.9
2057156.3137.4–172.3352.1338.8–359.4
2058158.3135.3–176.6353.3343–360.6
2059157.9138.9–174.7355341.5–359.7
2060158.4140.3–176.8354344.1–362
2061158.8139.6–175.2355338.3–361
2062156.1137.8–172.7352.2341.4–361
2063160.2140–178.6356344–360.6
2064159.3140.5–177.9354.4341.4–361.7
2065156.7136.6–177.5352.7343.4–359.8
2066161.6142–180.6353.7341.8–360.2
2067162.5141.6–183.1352.9341.2–360.3
2068162.4140.7–180.1354.6343.6–361.1
2069162.6143.3–181355.6344.7–361.2
2070161.4140.4–180.3355343.5–361.4
2071162.1142–181.9356346.1–361.1
2072162.2142.3–179.6356.6345.8–361.5
2073163.8144.6–182.6357.1347.3–362
2074162.2142.8–181.6356.1341.9–362.3
2075163.1143–180.9354.9340.7–361.9
2076163.2141.1–181.9357.6347.1–362.9
2077163.1141.8–181.8356.7345.6–362.3
2078163.9145.8–181.3355345.5–361.7
2079163.3143.1–186356.5347.1–361.5
2080163142.7–183.3358347.4–363.9
2081165.8142.9–185.5355.8345.5–362.5
2082164.6145–182.6354.6345.1–360.9
2083164.2141.3–187355.2345.7–361.7
2084165.6140.7–187.4355.7343.4–361.6
2085167.2143.9–187.5358.4350–362.5
2086166.8143.2–186.2356.6345.5–361.8
2087165.2142.9–189.1357.5346.7–362.5
2088167.5146–187.8357347.6–362.4
2089166.3146.9–184.2357.2346.7–361.8
2090168.6145–188.3355.7347.6–362.1
2091168.3145.8–186.5357.8345.5–362.6
2092167.4144.8–185.2355.5343.9–362.3
2093168.2146–191.5355.6344.4–361.2
2094169146.8–187.2359.2347.3–362.9
2095169.5146.9–189.1358.6347.7–362.8
2096170.2145.3–192.8357.8348.4–363.2
2097168.2145.9–187.4356.8346.5–362.4
2098169.7149.4–190.8356.2346.9–362.6
2099167.1147.5–187.7356.8346.4–362.7
2100169.9149.9–190.1357.6347.9–363.1

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

澳大利亚与柬埔寨对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境