马来西亚与缅甸对比

马来西亚与缅甸：热带夜

2014 年热带夜：马来西亚为 323 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 121.1 夜，是缅甸的 1.6 倍。

在地图上查看其变化

每年夜数 · CMIP6

马来西亚与缅甸：热带夜2014 年热带夜：马来西亚为 323 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 121.1 夜，是缅甸的 1.6 倍。
马来西亚缅甸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，缅甸为 244.5 夜。

逐年数据

每年夜数 · CMIP6

年份马来西亚缅甸
2014323201.9
2013323.9203.1
2012323.3201.1
2011320.9200.9
2010320.9202.1
2009320.3199
2008317.9198.1
2007317.8196.8
2006317.3198.2
2005318.4196.7
2004319.4200.3
2003316195.3
2002316196.6
2001316.5199
2000314.5197.2
1999312.9196.4
1998312.5194.7
1997310.6194.4
1996307.1191.4
1995307.3189.9
1994304.1188.8
1993298.2185
1992293.6180.5
1991308.9191.7
1990310.4191.5
1989306.9190.3
1988306.8190.7
1987306190.8
1986305.5189.7
1985301.7187.4
1984302.1189.1
1983297.2182.3
1982302.6186.7
1981303.7188.4
1980303.3189
1979302.4189.8
1978301186.8
1977301.3187.4
1976298.9185.8
1975297.7183.6
1974298.1185.5
1973299.1187.5
1972297184.8
1971298.3185.2
1970296184.9
1969297.4184.3
1968295.2183.7
1967293.1182.3
1966296.2186.2
1965293.1182.9
1964291.3180.6
1963291.6183.1
1962299.1187.3
1961299.5188.7
1960300.1187.1
1959299.9186.5
1958301.7187.1
1957299186.2
1956298.1187.9
1955299.3185.9
1954296.8185.7
1953298.8185
1952299.4186.1
1951299.1187.1
1950300186.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马来西亚缅甸
2015324.4308.5–333.7205.2186.4–218.9
2016323.8310.5–334.9202.8186.2–218.8
2017325.6309.9–334.4203.4187.3–218.3
2018325.7310.7–335.4205.5190.9–219.9
2019326.4311.9–335.3205.2186.7–222.2
2020328313.4–337.7208.2188.5–223.5
2021328.8314–336.3208.9191.2–224.1
2022329315.3–339209.9192.7–224.9
2023330.1316–340.5210.6195.4–226.3
2024332319.6–340.7210.4193.8–226.6
2025330.3317.7–342209.9190.3–225.2
2026330.2315.1–342.9212.2194.3–229.2
2027331315.2–342.4212195.6–228.6
2028332.4319–341.9213195.7–227.2
2029334.4322.5–344.9215.3193.9–231.9
2030333.4319.2–342.6212.2194.9–228
2031333.8317.1–342.5214.3197.2–230.8
2032336.5323.3–345.9215199.3–229.6
2033336.4322.5–343.3215.5198.5–230.1
2034334.8322.7–344.3214.9198.4–233.5
2035334.7323.3–347.9214.9199.2–236.8
2036336.9320.7–346.2216198.7–234.5
2037338.3325.4–345.3217.2199.6–233.5
2038339.7326.9–347.4220.7204.8–235.1
2039340326–347.4219.7202.4–234.3
2040338.6325.1–349219.2202.9–235
2041340.3326.3–348.1220.7203.9–237.7
2042339.9326.9–349.6221.8206.1–237.2
2043338.3324.3–348.3219.5201.2–237.1
2044340.6326.3–350.4221.4201.6–239.6
2045340.9327.4–349.8223.7204.8–241.5
2046343.3327.6–351.4223.2203.2–240.2
2047343325.3–352.9224.3204.8–241.1
2048342.6329–352.5226.4207.7–243.8
2049343.8331.1–354.1226.5205.6–242.8
2050342.7328.1–353.5227209.3–243.5
2051344.5330.7–354.3229.6212.4–246.4
2052345.1330.3–355227.2208.6–244.2
2053344.2331–353.5227.9208.7–247.7
2054345330.1–354.6227.9209.6–244.8
2055346.1332–354.3229.1209.8–247.5
2056346.5332.2–356.6231.8210.4–252.1
2057347.9332.3–355.4228.6208–249
2058347333.5–355.6228.9208.8–249
2059346.9333.4–356.2230.7212.1–247.5
2060349.7334.9–357.3234.7211.1–251.5
2061348.4334.1–356.1231.9213–247.7
2062348.4331.8–357.7233.6209.9–252.8
2063348.7333.2–357.7233215.4–250.5
2064349.1333.8–357.5233.2214.4–251.3
2065348.6334.6–356.8230.7210.4–250.7
2066349.3335–357.5233.5214.3–251.2
2067349.1334–356.6233211.5–253.3
2068350334.6–358.7233.1212.4–253.7
2069349.5334.2–357.9236.1214.6–253.4
2070349.2336.2–357.7235.9218.1–253.4
2071350.9336.1–358.6235.1213.5–259.6
2072351337.2–357.9234.6216.1–252.6
2073351.1338.7–359.9237.2219.3–257.2
2074350337.8–359.4236.4215.7–254.5
2075350.5335.4–358.1236.7214.4–255.9
2076351.6337.5–359.7237.7216–257
2077352.4336.4–359.9237.5219–258.7
2078351.3338.9–358.8238.5217.3–257.8
2079351.8337.9–359.7238.5219.2–257.2
2080352.4338.8–360.7240.5218.8–258.3
2081352.2337.3–359.7240219.7–260.9
2082352.7336.9–358.9239.4217.1–258.8
2083352.5339.6–360.4239.1220.5–259.2
2084353.5337.9–360.4241.3218.9–260.6
2085352.9340.2–360.2241.7218.8–260.7
2086352.8339.9–360241.7217.4–262.7
2087352.8338.4–361241.4220.5–260.9
2088354340–360.9241.8222.3–261.5
2089353.7339.7–359.9240.7221.2–262.6
2090353.3340.3–360.6241.3224.4–260.9
2091354.7338.9–361242.6220.3–262.5
2092355.3340.4–361.7241.9221.6–263.3
2093353.5339.3–362242.1220.2–260
2094355.4341.2–360.4242.5222.5–261.9
2095355339.4–360.6244.9224–264.4
2096353.6339.6–363.1243.9221.1–266.5
2097354.3339.5–360.6243.6219.6–264.2
2098354.8340.2–360.7243.6222.5–263.9
2099353.7340–361.8244.7221.8–263.5
2100354.8340.4–360.8244.5223.2–261.8

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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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