文莱与马来西亚对比

文莱与马来西亚：热带夜

2014 年热带夜：文莱为 359.3 夜，马来西亚为 323 夜（CMIP6 气候模型中位数模拟）。 2014 年文莱的数值较高，高出 36.3 夜，是马来西亚的 1.11 倍。

在地图上查看其变化

每年夜数 · CMIP6

文莱与马来西亚：热带夜2014 年热带夜：文莱为 359.3 夜，马来西亚为 323 夜（CMIP6 气候模型中位数模拟）。 2014 年文莱的数值较高，高出 36.3 夜，是马来西亚的 1.11 倍。
文莱马来西亚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，文莱的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年文莱为 364.9 夜，马来西亚为 354.8 夜。

逐年数据

每年夜数 · CMIP6

年份文莱马来西亚
2014359.3323
2013359.3323.9
2012359323.3
2011358.5320.9
2010358.6320.9
2009358.6320.3
2008357.6317.9
2007357.7317.8
2006357317.3
2005357.9318.4
2004357.4319.4
2003357.1316
2002356.9316
2001357.2316.5
2000356.5314.5
1999356.3312.9
1998355.4312.5
1997354.7310.6
1996353.4307.1
1995352.8307.3
1994352.1304.1
1993348.3298.2
1992346293.6
1991353.9308.9
1990355310.4
1989353.9306.9
1988353.3306.8
1987353306
1986352.5305.5
1985350.1301.7
1984350.8302.1
1983349.2297.2
1982351302.6
1981351.1303.7
1980352.1303.3
1979351.3302.4
1978350.1301
1977350.5301.3
1976348.9298.9
1975348.6297.7
1974348.9298.1
1973349.5299.1
1972348.4297
1971348.5298.3
1970347.6296
1969348.2297.4
1968347.5295.2
1967345.4293.1
1966348296.2
1965345.5293.1
1964344.6291.3
1963346.1291.6
1962349.2299.1
1961349.5299.5
1960350.2300.1
1959350.1299.9
1958350.6301.7
1957348.6299
1956348.4298.1
1955350.1299.3
1954348.6296.8
1953348.9298.8
1952349.5299.4
1951349.2299.1
1950350.7300
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份文莱马来西亚
2015359.8352.1–361.6324.4308.5–333.7
2016360352.2–362.5323.8310.5–334.9
2017359.9352.8–362.1325.6309.9–334.4
2018359.8352.3–361.8325.7310.7–335.4
2019360.3352.3–362.2326.4311.9–335.3
2020360.6352.6–363.6328313.4–337.7
2021360.7353.6–362.2328.8314–336.3
2022360.9354.4–362.9329315.3–339
2023361.1353.2–363.2330.1316–340.5
2024361.6354.7–364.1332319.6–340.7
2025361.4354.2–363.7330.3317.7–342
2026360.9353.1–363.8330.2315.1–342.9
2027361.7353.2–363.7331315.2–342.4
2028361.8354.7–364.7332.4319–341.9
2029362.4355.3–364.3334.4322.5–344.9
2030362354.4–363.6333.4319.2–342.6
2031362353.6–363.9333.8317.1–342.5
2032362.6355.8–365.1336.5323.3–345.9
2033362.6355.4–363.9336.4322.5–343.3
2034362.2355.9–364334.8322.7–344.3
2035362.2355.9–364.4334.7323.3–347.9
2036362.6355.2–365336.9320.7–346.2
2037362.8356.6–364.3338.3325.4–345.3
2038363.3355.9–364.5339.7326.9–347.4
2039363355.8–364.5340326–347.4
2040363.1356.4–365.4338.6325.1–349
2041363.3356.7–364.5340.3326.3–348.1
2042363.3356.8–364.7339.9326.9–349.6
2043363356.2–364.6338.3324.3–348.3
2044363.6356.5–365.6340.6326.3–350.4
2045363.3356.7–364.7340.9327.4–349.8
2046363.8356.9–364.7343.3327.6–351.4
2047363.6356.7–364.9343325.3–352.9
2048363.6357–365.8342.6329–352.5
2049363.9357.4–364.9343.8331.1–354.1
2050363.6357–364.9342.7328.1–353.5
2051364.1357.3–364.9344.5330.7–354.3
2052364.1358–365.9345.1330.3–355
2053363.9357.7–364.9344.2331–353.5
2054364.1357.8–364.9345330.1–354.6
2055364.2357.9–364.9346.1332–354.3
2056364.3358–365.9346.5332.2–356.6
2057364.4358–364.9347.9332.3–355.4
2058364.3358.4–364.9347333.5–355.6
2059364.5358.4–364.9346.9333.4–356.2
2060364.6358.6–365.9349.7334.9–357.3
2061364.4358.5–364.9348.4334.1–356.1
2062364.6357.9–364.9348.4331.8–357.7
2063364.4358–364.9348.7333.2–357.7
2064364.7358.1–365.9349.1333.8–357.5
2065364.6358.6–364.9348.6334.6–356.8
2066364.5358.7–364.9349.3335–357.5
2067364.6358.1–364.9349.1334–356.6
2068364.6358.5–365.9350334.6–358.7
2069364.6357.7–364.9349.5334.2–357.9
2070364.7358.7–364.9349.2336.2–357.7
2071364.6358.8–364.9350.9336.1–358.6
2072364.7358.8–365.9351337.2–357.9
2073364.8359.1–364.9351.1338.7–359.9
2074364.6358.9–364.9350337.8–359.4
2075364.7358.7–364.9350.5335.4–358.1
2076364.7359.1–365.9351.6337.5–359.7
2077364.9358.9–365352.4336.4–359.9
2078364.8359.2–364.9351.3338.9–358.8
2079364.8358.8–365351.8337.9–359.7
2080364.8359.1–366352.4338.8–360.7
2081364.8358.9–365352.2337.3–359.7
2082364.9358.9–365352.7336.9–358.9
2083364.8359.2–365352.5339.6–360.4
2084364.9359–366353.5337.9–360.4
2085364.9359.3–365352.9340.2–360.2
2086364.8359.2–365352.8339.9–360
2087364.8359–365352.8338.4–361
2088364.9359.5–366354340–360.9
2089364.8359.1–365353.7339.7–359.9
2090364.8359.4–365353.3340.3–360.6
2091364.9359.3–365354.7338.9–361
2092364.9359.1–366355.3340.4–361.7
2093364.9359.4–365353.5339.3–362
2094364.9359.3–365355.4341.2–360.4
2095364.9359.1–365355339.4–360.6
2096364.9359.1–366353.6339.6–363.1
2097364.9359.1–365354.3339.5–360.6
2098364.9359.1–365354.8340.2–360.7
2099364.9359.2–365353.7340–361.8
2100364.9359.2–365354.8340.4–360.8

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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。

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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