柬埔寨与印度尼西亚对比

柬埔寨与印度尼西亚：热带夜

2014 年热带夜：柬埔寨为 337.4 夜，印度尼西亚为 306.5 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 30.9 夜，是印度尼西亚的 1.1 倍。

在地图上查看其变化

每年夜数 · CMIP6

柬埔寨与印度尼西亚：热带夜2014 年热带夜：柬埔寨为 337.4 夜，印度尼西亚为 306.5 夜（CMIP6 气候模型中位数模拟）。 2014 年柬埔寨的数值较高，高出 30.9 夜，是印度尼西亚的 1.1 倍。
柬埔寨印度尼西亚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，印度尼西亚为 334.7 夜。

逐年数据

每年夜数 · CMIP6

年份柬埔寨印度尼西亚
2014337.4306.5
2013342.5306.4
2012340.1306.3
2011338.3304.6
2010338.2305.6
2009339.2303.9
2008334.9303.4
2007336.1302.8
2006336302.8
2005334303.1
2004338.1303.8
2003332.9301.9
2002333.3301.5
2001337.1302.5
2000335.9300.9
1999335.1300.4
1998334.8299.1
1997336.8297.9
1996330.5296.9
1995328.7296.7
1994334.3294.6
1993329.9291.6
1992321.5288.5
1991328.1297.5
1990333.3298.6
1989330.3296
1988332296.5
1987329.7295.6
1986330.9295.8
1985330.8292.8
1984331.2293.4
1983328.7290.1
1982329.3294.4
1981331.2294.8
1980329.9294.5
1979330.4294.1
1978327.5292.4
1977331.6293.4
1976329.2290.8
1975328.1290.7
1974326.8291.5
1973331.2293
1972327.1290.7
1971327.4291.2
1970327.9288.9
1969327.4290.4
1968327.6289.1
1967323.9288.4
1966326.4290.5
1965329.8288.1
1964327.1286.2
1963328.6286.4
1962326.2291.2
1961332.3292.9
1960329292.8
1959328.5291.9
1958332.7293.3
1957331.1290.8
1956330291.5
1955326.8292.4
1954329290
1953329.6291.4
1952329.2291.7
1951330.9291.7
1950328.6291.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份柬埔寨印度尼西亚
2015340323.1–351.2308295.7–315.1
2016339.6325.3–352.5307.5296.9–315.6
2017341.9327.4–350.7308.4295.5–315.6
2018343.5320.1–353.1308.9296.4–316.6
2019340.8327.2–352.1309.9297.8–316.7
2020343325.7–352.6310.9299–318.6
2021345.2328.4–353310.4298.7–316.4
2022344.4332.5–353.4311.4300–319.6
2023344.7333.7–355.1311.4300.1–320.6
2024342.1327.5–352.9313.2302–321.2
2025343.4332.6–351312300.2–321.9
2026343.9324.7–353.4312.6299.9–322.8
2027345.3330.6–354.2312.7301–321.6
2028346.5331–356.9313.8302.4–321.9
2029346.5330.1–357.3315.5303.9–324.1
2030346.7332.4–355.4314.2303.1–322.6
2031347.7332.3–356.7314.4301.6–321.9
2032347.5332.3–354.7316.9304.8–325.8
2033346.5331.7–358.1316.6305.4–323.3
2034348.1335.3–357315.4303.9–323.9
2035347.7330.1–357.7316.3305.6–327.9
2036348.2329.7–355.8317.7305.2–326.2
2037347.4334.6–355.4318.1306.6–325.2
2038348.9335.4–357.3319.3307.6–326.7
2039349.3335.7–358.3319.4307.7–326.7
2040348.9339.2–356.6318.5306.5–329
2041349.9337.3–358.1320.2308.3–328
2042348.1336.5–357.9320308.7–329.2
2043348.4336.5–357.3318.6306.6–327.8
2044348.6337.6–357.8321309–329.6
2045349.4335.2–360.2320.8308.6–329.8
2046351.3337.9–359.4322.8308.8–331
2047352.1341.4–359.4323.2308.8–333
2048351.1338.7–360.6322.3310.5–332.3
2049352.5339.7–360323.8311.6–334.1
2050352.6340.1–359.7323.3310.3–333.5
2051354.4343.2–360.9323.6311.2–334.4
2052353.3343.5–359.5325.1311.7–334.7
2053351.8340.5–358.9323.9310.9–333.8
2054352343.5–359.3324.4311.9–335.4
2055352.8339.5–359.2325.3312.6–335
2056353.4339.8–360.9325.9312.4–337.2
2057352.1338.8–359.4326.9311.9–335.2
2058353.3343–360.6326.4313–336.3
2059355341.5–359.7326.4313.9–337.8
2060354344.1–362329.5314.9–338.2
2061355338.3–361327.9313.6–336.9
2062352.2341.4–361327.6312.4–339.1
2063356344–360.6327.6313.9–339.4
2064354.4341.4–361.7328.8314.4–338.6
2065352.7343.4–359.8327.6314.3–337.9
2066353.7341.8–360.2328.6314.7–338.5
2067352.9341.2–360.3328.8314.3–338
2068354.6343.6–361.1329.8314.4–339.9
2069355.6344.7–361.2329.5315.5–339.3
2070355343.5–361.4328.6315.1–338.8
2071356346.1–361.1331.4315.5–340.4
2072356.6345.8–361.5330.3315.9–339.4
2073357.1347.3–362331.4317.7–341
2074356.1341.9–362.3329.9316.8–341.1
2075354.9340.7–361.9330.5315.2–340.2
2076357.6347.1–362.9331.5316.2–341.2
2077356.7345.6–362.3332315.9–341.8
2078355345.5–361.7331.4318.2–340.9
2079356.5347.1–361.5331.5316.6–341.5
2080358347.4–363.9332.4317.4–343.2
2081355.8345.5–362.5332.3318.4–341.8
2082354.6345.1–360.9332.8317.8–340.4
2083355.2345.7–361.7333.1318.7–342.6
2084355.7343.4–361.6333317.8–342.7
2085358.4350–362.5332.6318.1–342.7
2086356.6345.5–361.8333.1318.9–342.3
2087357.5346.7–362.5332.6318–343.2
2088357347.6–362.4334.5319.5–343.1
2089357.2346.7–361.8333.6319–342.6
2090355.7347.6–362.1333.3319.6–343.3
2091357.8345.5–362.6334.5318.2–343.9
2092355.5343.9–362.3335.1319.7–343.6
2093355.6344.4–361.2333.9320–344.9
2094359.2347.3–362.9335.6320.4–342.8
2095358.6347.7–362.8335.4319.7–343
2096357.8348.4–363.2334.3319.4–346.1
2097356.8346.5–362.4334.2319.5–343.3
2098356.2346.9–362.6334.9319.4–343.4
2099356.8346.4–362.7334.4319.4–344.6
2100357.6347.9–363.1334.7318.7–343.3

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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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