柬埔寨与越南对比

柬埔寨与越南:热带夜

2014 年热带夜:柬埔寨为 337.4 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 94.8 夜,是越南的 1.39 倍。

每年夜数 · CMIP6

柬埔寨与越南:热带夜2014 年热带夜:柬埔寨为 337.4 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 94.8 夜,是越南的 1.39 倍。
柬埔寨越南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 年柬埔寨为 357.6 夜,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份柬埔寨越南
2014337.4242.6
2013342.5243.6
2012340.1242.4
2011338.3241.9
2010338.2240.9
2009339.2240
2008334.9238.7
2007336.1238
2006336239.1
2005334238.3
2004338.1241.8
2003332.9235.9
2002333.3236.3
2001337.1241.3
2000335.9237
1999335.1236
1998334.8236.8
1997336.8237.1
1996330.5231.4
1995328.7229.9
1994334.3231.2
1993329.9225.3
1992321.5221.9
1991328.1229.8
1990333.3233.1
1989330.3229.2
1988332231.7
1987329.7230.3
1986330.9230.9
1985330.8228
1984331.2230.2
1983328.7224.9
1982329.3227.5
1981331.2229.7
1980329.9228.1
1979330.4228.9
1978327.5227.5
1977331.6229
1976329.2225.8
1975328.1225.8
1974326.8225.7
1973331.2230.3
1972327.1225.6
1971327.4225.5
1970327.9226.1
1969327.4227
1968327.6227.1
1967323.9222.9
1966326.4226.8
1965329.8225.4
1964327.1222.6
1963328.6224.3
1962326.2227.8
1961332.3229.4
1960329228.5
1959328.5226.2
1958332.7230.9
1957331.1228.4
1956330228.7
1955326.8227.5
1954329226.3
1953329.6228.2
1952329.2228.5
1951330.9229.2
1950328.6228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份柬埔寨越南
2015340323.1–351.2245.8228.2–261.9
2016339.6325.3–352.5243.7226.1–259.4
2017341.9327.4–350.7247229.6–260.7
2018343.5320.1–353.1248.3228.8–263.3
2019340.8327.2–352.1248.1229.2–262.8
2020343325.7–352.6248.8229.6–262.9
2021345.2328.4–353251.1233.1–266.7
2022344.4332.5–353.4252.4234.3–266.8
2023344.7333.7–355.1253.4235.4–266.6
2024342.1327.5–352.9251.3236.7–264.6
2025343.4332.6–351252.4234.1–266.2
2026343.9324.7–353.4252.8232.9–268.5
2027345.3330.6–354.2253.2237–268.8
2028346.5331–356.9254.3237.7–272
2029346.5330.1–357.3258.1238.5–273.7
2030346.7332.4–355.4256.4240.9–270.1
2031347.7332.3–356.7255.9241.2–270.9
2032347.5332.3–354.7257.4239.1–269.9
2033346.5331.7–358.1258.3241.7–273.2
2034348.1335.3–357258.8240.7–275.8
2035347.7330.1–357.7258.6242.5–275.4
2036348.2329.7–355.8258.3239.1–273.8
2037347.4334.6–355.4258.7242.4–272.4
2038348.9335.4–357.3263.4247.6–277.3
2039349.3335.7–358.3260.2243.7–275.9
2040348.9339.2–356.6260.1242.8–274.8
2041349.9337.3–358.1263.1245.9–279
2042348.1336.5–357.9263.6246.5–279
2043348.4336.5–357.3261.4245.5–279.6
2044348.6337.6–357.8263.2245.2–277.6
2045349.4335.2–360.2265.5249.6–281.4
2046351.3337.9–359.4264.9246.8–278.1
2047352.1341.4–359.4266.9250.4–282.9
2048351.1338.7–360.6268250.5–283.8
2049352.5339.7–360267.8251.2–284.8
2050352.6340.1–359.7268251.2–283.5
2051354.4343.2–360.9270.9254.3–285.4
2052353.3343.5–359.5268.3253.3–282.8
2053351.8340.5–358.9268.5250.1–283.2
2054352343.5–359.3269.1250.8–283.6
2055352.8339.5–359.2270249.8–284.2
2056353.4339.8–360.9271.7254.8–290.1
2057352.1338.8–359.4270253–285.7
2058353.3343–360.6270.7252.9–286.5
2059355341.5–359.7273257.6–286.6
2060354344.1–362275.7255.6–290.6
2061355338.3–361273.5254.6–289.5
2062352.2341.4–361271.4253.1–290.2
2063356344–360.6272.9252.7–288.1
2064354.4341.4–361.7273.8254.4–288.1
2065352.7343.4–359.8272255.8–286.3
2066353.7341.8–360.2271.8254.4–287.3
2067352.9341.2–360.3270.8252.1–287.6
2068354.6343.6–361.1275.6256.9–292.4
2069355.6344.7–361.2276.4258.5–292
2070355343.5–361.4274.6257.8–292.8
2071356346.1–361.1276.2255.2–294.1
2072356.6345.8–361.5277256.8–291.4
2073357.1347.3–362278.5262.7–293.4
2074356.1341.9–362.3277.6259.2–295.8
2075354.9340.7–361.9276.4258.7–294.4
2076357.6347.1–362.9279.2258.5–296.6
2077356.7345.6–362.3280264.9–294.7
2078355345.5–361.7278.4258.6–295.5
2079356.5347.1–361.5279.3263.4–293.6
2080358347.4–363.9280261.4–296.5
2081355.8345.5–362.5280.4261.2–297.9
2082354.6345.1–360.9280.9258.9–296
2083355.2345.7–361.7278.4261.6–295
2084355.7343.4–361.6279257.4–293.8
2085358.4350–362.5281.3265–297.8
2086356.6345.5–361.8282.3260.2–297.5
2087357.5346.7–362.5281.9261.3–300.7
2088357347.6–362.4283.1265.7–301.5
2089357.2346.7–361.8280.8261.2–301.6
2090355.7347.6–362.1280.5264.5–297.6
2091357.8345.5–362.6283.3264.3–298.9
2092355.5343.9–362.3281.1261.5–299.4
2093355.6344.4–361.2280.5263.4–296.1
2094359.2347.3–362.9283264.5–300
2095358.6347.7–362.8285.5264.5–302.9
2096357.8348.4–363.2281.8264.8–299.8
2097356.8346.5–362.4281.5263.3–299
2098356.2346.9–362.6282.5263.9–301.5
2099356.8346.4–362.7282.7265.1–298
2100357.6347.9–363.1282.7261–298.2

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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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