柬埔寨与马来西亚对比

柬埔寨与马来西亚：热带夜

2014 年热带夜：柬埔寨为 337.4 夜，马来西亚为 323 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 14.4 夜，是马来西亚的 1.04 倍。

在地图上查看其变化

每年夜数 · CMIP6

柬埔寨与马来西亚：热带夜2014 年热带夜：柬埔寨为 337.4 夜，马来西亚为 323 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 14.4 夜，是马来西亚的 1.04 倍。
柬埔寨马来西亚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，马来西亚为 354.8 夜。

逐年数据

每年夜数 · CMIP6

年份柬埔寨马来西亚
2014337.4323
2013342.5323.9
2012340.1323.3
2011338.3320.9
2010338.2320.9
2009339.2320.3
2008334.9317.9
2007336.1317.8
2006336317.3
2005334318.4
2004338.1319.4
2003332.9316
2002333.3316
2001337.1316.5
2000335.9314.5
1999335.1312.9
1998334.8312.5
1997336.8310.6
1996330.5307.1
1995328.7307.3
1994334.3304.1
1993329.9298.2
1992321.5293.6
1991328.1308.9
1990333.3310.4
1989330.3306.9
1988332306.8
1987329.7306
1986330.9305.5
1985330.8301.7
1984331.2302.1
1983328.7297.2
1982329.3302.6
1981331.2303.7
1980329.9303.3
1979330.4302.4
1978327.5301
1977331.6301.3
1976329.2298.9
1975328.1297.7
1974326.8298.1
1973331.2299.1
1972327.1297
1971327.4298.3
1970327.9296
1969327.4297.4
1968327.6295.2
1967323.9293.1
1966326.4296.2
1965329.8293.1
1964327.1291.3
1963328.6291.6
1962326.2299.1
1961332.3299.5
1960329300.1
1959328.5299.9
1958332.7301.7
1957331.1299
1956330298.1
1955326.8299.3
1954329296.8
1953329.6298.8
1952329.2299.4
1951330.9299.1
1950328.6300
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份柬埔寨马来西亚
2015340323.1–351.2324.4308.5–333.7
2016339.6325.3–352.5323.8310.5–334.9
2017341.9327.4–350.7325.6309.9–334.4
2018343.5320.1–353.1325.7310.7–335.4
2019340.8327.2–352.1326.4311.9–335.3
2020343325.7–352.6328313.4–337.7
2021345.2328.4–353328.8314–336.3
2022344.4332.5–353.4329315.3–339
2023344.7333.7–355.1330.1316–340.5
2024342.1327.5–352.9332319.6–340.7
2025343.4332.6–351330.3317.7–342
2026343.9324.7–353.4330.2315.1–342.9
2027345.3330.6–354.2331315.2–342.4
2028346.5331–356.9332.4319–341.9
2029346.5330.1–357.3334.4322.5–344.9
2030346.7332.4–355.4333.4319.2–342.6
2031347.7332.3–356.7333.8317.1–342.5
2032347.5332.3–354.7336.5323.3–345.9
2033346.5331.7–358.1336.4322.5–343.3
2034348.1335.3–357334.8322.7–344.3
2035347.7330.1–357.7334.7323.3–347.9
2036348.2329.7–355.8336.9320.7–346.2
2037347.4334.6–355.4338.3325.4–345.3
2038348.9335.4–357.3339.7326.9–347.4
2039349.3335.7–358.3340326–347.4
2040348.9339.2–356.6338.6325.1–349
2041349.9337.3–358.1340.3326.3–348.1
2042348.1336.5–357.9339.9326.9–349.6
2043348.4336.5–357.3338.3324.3–348.3
2044348.6337.6–357.8340.6326.3–350.4
2045349.4335.2–360.2340.9327.4–349.8
2046351.3337.9–359.4343.3327.6–351.4
2047352.1341.4–359.4343325.3–352.9
2048351.1338.7–360.6342.6329–352.5
2049352.5339.7–360343.8331.1–354.1
2050352.6340.1–359.7342.7328.1–353.5
2051354.4343.2–360.9344.5330.7–354.3
2052353.3343.5–359.5345.1330.3–355
2053351.8340.5–358.9344.2331–353.5
2054352343.5–359.3345330.1–354.6
2055352.8339.5–359.2346.1332–354.3
2056353.4339.8–360.9346.5332.2–356.6
2057352.1338.8–359.4347.9332.3–355.4
2058353.3343–360.6347333.5–355.6
2059355341.5–359.7346.9333.4–356.2
2060354344.1–362349.7334.9–357.3
2061355338.3–361348.4334.1–356.1
2062352.2341.4–361348.4331.8–357.7
2063356344–360.6348.7333.2–357.7
2064354.4341.4–361.7349.1333.8–357.5
2065352.7343.4–359.8348.6334.6–356.8
2066353.7341.8–360.2349.3335–357.5
2067352.9341.2–360.3349.1334–356.6
2068354.6343.6–361.1350334.6–358.7
2069355.6344.7–361.2349.5334.2–357.9
2070355343.5–361.4349.2336.2–357.7
2071356346.1–361.1350.9336.1–358.6
2072356.6345.8–361.5351337.2–357.9
2073357.1347.3–362351.1338.7–359.9
2074356.1341.9–362.3350337.8–359.4
2075354.9340.7–361.9350.5335.4–358.1
2076357.6347.1–362.9351.6337.5–359.7
2077356.7345.6–362.3352.4336.4–359.9
2078355345.5–361.7351.3338.9–358.8
2079356.5347.1–361.5351.8337.9–359.7
2080358347.4–363.9352.4338.8–360.7
2081355.8345.5–362.5352.2337.3–359.7
2082354.6345.1–360.9352.7336.9–358.9
2083355.2345.7–361.7352.5339.6–360.4
2084355.7343.4–361.6353.5337.9–360.4
2085358.4350–362.5352.9340.2–360.2
2086356.6345.5–361.8352.8339.9–360
2087357.5346.7–362.5352.8338.4–361
2088357347.6–362.4354340–360.9
2089357.2346.7–361.8353.7339.7–359.9
2090355.7347.6–362.1353.3340.3–360.6
2091357.8345.5–362.6354.7338.9–361
2092355.5343.9–362.3355.3340.4–361.7
2093355.6344.4–361.2353.5339.3–362
2094359.2347.3–362.9355.4341.2–360.4
2095358.6347.7–362.8355339.4–360.6
2096357.8348.4–363.2353.6339.6–363.1
2097356.8346.5–362.4354.3339.5–360.6
2098356.2346.9–362.6354.8340.2–360.7
2099356.8346.4–362.7353.7340–361.8
2100357.6347.9–363.1354.8340.4–360.8

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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。

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