马来西亚与越南对比

马来西亚与越南：热带夜

2014 年热带夜：马来西亚为 323 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 80.4 夜，是越南的 1.33 倍。

在地图上查看其变化

每年夜数 · CMIP6

马来西亚与越南：热带夜2014 年热带夜：马来西亚为 323 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 80.4 夜，是越南的 1.33 倍。
马来西亚越南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，马来西亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马来西亚为 354.8 夜，越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份马来西亚越南
2014323242.6
2013323.9243.6
2012323.3242.4
2011320.9241.9
2010320.9240.9
2009320.3240
2008317.9238.7
2007317.8238
2006317.3239.1
2005318.4238.3
2004319.4241.8
2003316235.9
2002316236.3
2001316.5241.3
2000314.5237
1999312.9236
1998312.5236.8
1997310.6237.1
1996307.1231.4
1995307.3229.9
1994304.1231.2
1993298.2225.3
1992293.6221.9
1991308.9229.8
1990310.4233.1
1989306.9229.2
1988306.8231.7
1987306230.3
1986305.5230.9
1985301.7228
1984302.1230.2
1983297.2224.9
1982302.6227.5
1981303.7229.7
1980303.3228.1
1979302.4228.9
1978301227.5
1977301.3229
1976298.9225.8
1975297.7225.8
1974298.1225.7
1973299.1230.3
1972297225.6
1971298.3225.5
1970296226.1
1969297.4227
1968295.2227.1
1967293.1222.9
1966296.2226.8
1965293.1225.4
1964291.3222.6
1963291.6224.3
1962299.1227.8
1961299.5229.4
1960300.1228.5
1959299.9226.2
1958301.7230.9
1957299228.4
1956298.1228.7
1955299.3227.5
1954296.8226.3
1953298.8228.2
1952299.4228.5
1951299.1229.2
1950300228.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马来西亚越南
2015324.4308.5–333.7245.8228.2–261.9
2016323.8310.5–334.9243.7226.1–259.4
2017325.6309.9–334.4247229.6–260.7
2018325.7310.7–335.4248.3228.8–263.3
2019326.4311.9–335.3248.1229.2–262.8
2020328313.4–337.7248.8229.6–262.9
2021328.8314–336.3251.1233.1–266.7
2022329315.3–339252.4234.3–266.8
2023330.1316–340.5253.4235.4–266.6
2024332319.6–340.7251.3236.7–264.6
2025330.3317.7–342252.4234.1–266.2
2026330.2315.1–342.9252.8232.9–268.5
2027331315.2–342.4253.2237–268.8
2028332.4319–341.9254.3237.7–272
2029334.4322.5–344.9258.1238.5–273.7
2030333.4319.2–342.6256.4240.9–270.1
2031333.8317.1–342.5255.9241.2–270.9
2032336.5323.3–345.9257.4239.1–269.9
2033336.4322.5–343.3258.3241.7–273.2
2034334.8322.7–344.3258.8240.7–275.8
2035334.7323.3–347.9258.6242.5–275.4
2036336.9320.7–346.2258.3239.1–273.8
2037338.3325.4–345.3258.7242.4–272.4
2038339.7326.9–347.4263.4247.6–277.3
2039340326–347.4260.2243.7–275.9
2040338.6325.1–349260.1242.8–274.8
2041340.3326.3–348.1263.1245.9–279
2042339.9326.9–349.6263.6246.5–279
2043338.3324.3–348.3261.4245.5–279.6
2044340.6326.3–350.4263.2245.2–277.6
2045340.9327.4–349.8265.5249.6–281.4
2046343.3327.6–351.4264.9246.8–278.1
2047343325.3–352.9266.9250.4–282.9
2048342.6329–352.5268250.5–283.8
2049343.8331.1–354.1267.8251.2–284.8
2050342.7328.1–353.5268251.2–283.5
2051344.5330.7–354.3270.9254.3–285.4
2052345.1330.3–355268.3253.3–282.8
2053344.2331–353.5268.5250.1–283.2
2054345330.1–354.6269.1250.8–283.6
2055346.1332–354.3270249.8–284.2
2056346.5332.2–356.6271.7254.8–290.1
2057347.9332.3–355.4270253–285.7
2058347333.5–355.6270.7252.9–286.5
2059346.9333.4–356.2273257.6–286.6
2060349.7334.9–357.3275.7255.6–290.6
2061348.4334.1–356.1273.5254.6–289.5
2062348.4331.8–357.7271.4253.1–290.2
2063348.7333.2–357.7272.9252.7–288.1
2064349.1333.8–357.5273.8254.4–288.1
2065348.6334.6–356.8272255.8–286.3
2066349.3335–357.5271.8254.4–287.3
2067349.1334–356.6270.8252.1–287.6
2068350334.6–358.7275.6256.9–292.4
2069349.5334.2–357.9276.4258.5–292
2070349.2336.2–357.7274.6257.8–292.8
2071350.9336.1–358.6276.2255.2–294.1
2072351337.2–357.9277256.8–291.4
2073351.1338.7–359.9278.5262.7–293.4
2074350337.8–359.4277.6259.2–295.8
2075350.5335.4–358.1276.4258.7–294.4
2076351.6337.5–359.7279.2258.5–296.6
2077352.4336.4–359.9280264.9–294.7
2078351.3338.9–358.8278.4258.6–295.5
2079351.8337.9–359.7279.3263.4–293.6
2080352.4338.8–360.7280261.4–296.5
2081352.2337.3–359.7280.4261.2–297.9
2082352.7336.9–358.9280.9258.9–296
2083352.5339.6–360.4278.4261.6–295
2084353.5337.9–360.4279257.4–293.8
2085352.9340.2–360.2281.3265–297.8
2086352.8339.9–360282.3260.2–297.5
2087352.8338.4–361281.9261.3–300.7
2088354340–360.9283.1265.7–301.5
2089353.7339.7–359.9280.8261.2–301.6
2090353.3340.3–360.6280.5264.5–297.6
2091354.7338.9–361283.3264.3–298.9
2092355.3340.4–361.7281.1261.5–299.4
2093353.5339.3–362280.5263.4–296.1
2094355.4341.2–360.4283264.5–300
2095355339.4–360.6285.5264.5–302.9
2096353.6339.6–363.1281.8264.8–299.8
2097354.3339.5–360.6281.5263.3–299
2098354.8340.2–360.7282.5263.9–301.5
2099353.7340–361.8282.7265.1–298
2100354.8340.4–360.8282.7261–298.2

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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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