柬埔寨与泰国对比

柬埔寨与泰国：热带夜

2014 年热带夜：柬埔寨为 337.4 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 51 夜，是泰国的 1.18 倍。

在地图上查看其变化

每年夜数 · CMIP6

柬埔寨与泰国：热带夜2014 年热带夜：柬埔寨为 337.4 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 51 夜，是泰国的 1.18 倍。
柬埔寨泰国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，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，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份柬埔寨泰国
2014337.4286.4
2013342.5289.1
2012340.1286.6
2011338.3286.4
2010338.2286
2009339.2286.9
2008334.9284.8
2007336.1283.2
2006336284.3
2005334281.7
2004338.1287.5
2003332.9279.3
2002333.3280
2001337.1285.5
2000335.9283.4
1999335.1282.5
1998334.8282.7
1997336.8284.8
1996330.5279.8
1995328.7278.7
1994334.3280.8
1993329.9275.6
1992321.5268.8
1991328.1276.7
1990333.3279.2
1989330.3278.4
1988332279.6
1987329.7277.9
1986330.9277.5
1985330.8276
1984331.2277.9
1983328.7273.9
1982329.3275.7
1981331.2277.8
1980329.9277.9
1979330.4278
1978327.5276
1977331.6277.3
1976329.2275.6
1975328.1274.4
1974326.8276
1973331.2280.6
1972327.1273.9
1971327.4273.2
1970327.9276
1969327.4274.8
1968327.6277
1967323.9270.3
1966326.4274.4
1965329.8275.8
1964327.1271.9
1963328.6274.7
1962326.2275.4
1961332.3278.5
1960329276.2
1959328.5274.4
1958332.7278.7
1957331.1277.4
1956330277
1955326.8274.6
1954329275
1953329.6275.4
1952329.2275.1
1951330.9277.5
1950328.6276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份柬埔寨泰国
2015340323.1–351.2290.6272.2–305
2016339.6325.3–352.5287.1269.8–306.2
2017341.9327.4–350.7290273.8–302.8
2018343.5320.1–353.1292.6275.1–308.7
2019340.8327.2–352.1291.2272.8–306.7
2020343325.7–352.6292.4272.2–307.8
2021345.2328.4–353294.2276.3–308.5
2022344.4332.5–353.4294.8277.2–311.9
2023344.7333.7–355.1296.1281.9–310.2
2024342.1327.5–352.9291.7275.5–307.8
2025343.4332.6–351294276.7–306.3
2026343.9324.7–353.4296278–309.3
2027345.3330.6–354.2295.8276.3–311.1
2028346.5331–356.9297279.3–315.1
2029346.5330.1–357.3300.3278.7–315
2030346.7332.4–355.4297.7280.2–312.5
2031347.7332.3–356.7300.8282.8–317.1
2032347.5332.3–354.7297.2280.9–311.4
2033346.5331.7–358.1300281.9–315.8
2034348.1335.3–357300.8279–318.4
2035347.7330.1–357.7298.6281.5–317.8
2036348.2329.7–355.8300.4279.9–316.9
2037347.4334.6–355.4299.8280–315.1
2038348.9335.4–357.3304.8286.6–319.3
2039349.3335.7–358.3300.9281.9–317
2040348.9339.2–356.6301.6284.5–315.7
2041349.9337.3–358.1303.1285.1–318.8
2042348.1336.5–357.9303.8290–318.3
2043348.4336.5–357.3302285.8–317.9
2044348.6337.6–357.8304.3286.3–318.8
2045349.4335.2–360.2307.1287.7–324.2
2046351.3337.9–359.4305.9285.2–321
2047352.1341.4–359.4306.6289.5–321.5
2048351.1338.7–360.6309.4288.9–325.7
2049352.5339.7–360308.1287.2–324.1
2050352.6340.1–359.7307.5291–321.5
2051354.4343.2–360.9312.8294.8–326
2052353.3343.5–359.5310.9291.2–323.4
2053351.8340.5–358.9308.3289.5–323.3
2054352343.5–359.3308.8292.8–322.3
2055352.8339.5–359.2308.6290.6–325.1
2056353.4339.8–360.9311.3294.9–326.3
2057352.1338.8–359.4308.5286.7–326.4
2058353.3343–360.6308291.1–325.1
2059355341.5–359.7312.7295.8–325.3
2060354344.1–362313.1294.6–328.6
2061355338.3–361314.4289.5–331.1
2062352.2341.4–361311.4293.4–330.3
2063356344–360.6314.8296.9–327.3
2064354.4341.4–361.7312.5295.4–330
2065352.7343.4–359.8309.6293.1–329.3
2066353.7341.8–360.2312.1292.6–328
2067352.9341.2–360.3311.2289.6–329.4
2068354.6343.6–361.1310.8292.4–330.6
2069355.6344.7–361.2315.5296.1–329.5
2070355343.5–361.4314.2292.9–330.7
2071356346.1–361.1313.8296.4–330.8
2072356.6345.8–361.5314.8296–329.6
2073357.1347.3–362316.5299.9–332.1
2074356.1341.9–362.3317.2295–333.8
2075354.9340.7–361.9317.2295.3–331.4
2076357.6347.1–362.9317.4299.8–335
2077356.7345.6–362.3317.5297.3–335.9
2078355345.5–361.7315.9297.1–331.6
2079356.5347.1–361.5318.5300.5–332.3
2080358347.4–363.9319.8297.4–337.5
2081355.8345.5–362.5317.7299.5–334.9
2082354.6345.1–360.9317.9294.8–333
2083355.2345.7–361.7315297.8–332.9
2084355.7343.4–361.6316295.5–330
2085358.4350–362.5322.6300.8–334.7
2086356.6345.5–361.8319.4295.2–335.2
2087357.5346.7–362.5320.2302.2–334.7
2088357347.6–362.4321.4299.8–334.8
2089357.2346.7–361.8318.9296.4–338.1
2090355.7347.6–362.1317.6304–337.4
2091357.8345.5–362.6320.1299.8–336.1
2092355.5343.9–362.3316.3298–336.4
2093355.6344.4–361.2316.1297.7–333.7
2094359.2347.3–362.9323.4301.8–337.3
2095358.6347.7–362.8322.9302.4–338.9
2096357.8348.4–363.2319.6302.8–336.7
2097356.8346.5–362.4319.8299.1–336
2098356.2346.9–362.6320.5303.9–336
2099356.8346.4–362.7319.9303.1–334.4
2100357.6347.9–363.1320.8301.1–336.7

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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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