缅甸与泰国对比

缅甸与泰国：热带夜

2014 年热带夜：缅甸为 201.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 84.5 夜，是缅甸的 1.42 倍。

在地图上查看其变化

每年夜数 · CMIP6

缅甸与泰国：热带夜2014 年热带夜：缅甸为 201.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 84.5 夜，是缅甸的 1.42 倍。
缅甸泰国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，泰国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年缅甸为 244.5 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸泰国
2014201.9286.4
2013203.1289.1
2012201.1286.6
2011200.9286.4
2010202.1286
2009199286.9
2008198.1284.8
2007196.8283.2
2006198.2284.3
2005196.7281.7
2004200.3287.5
2003195.3279.3
2002196.6280
2001199285.5
2000197.2283.4
1999196.4282.5
1998194.7282.7
1997194.4284.8
1996191.4279.8
1995189.9278.7
1994188.8280.8
1993185275.6
1992180.5268.8
1991191.7276.7
1990191.5279.2
1989190.3278.4
1988190.7279.6
1987190.8277.9
1986189.7277.5
1985187.4276
1984189.1277.9
1983182.3273.9
1982186.7275.7
1981188.4277.8
1980189277.9
1979189.8278
1978186.8276
1977187.4277.3
1976185.8275.6
1975183.6274.4
1974185.5276
1973187.5280.6
1972184.8273.9
1971185.2273.2
1970184.9276
1969184.3274.8
1968183.7277
1967182.3270.3
1966186.2274.4
1965182.9275.8
1964180.6271.9
1963183.1274.7
1962187.3275.4
1961188.7278.5
1960187.1276.2
1959186.5274.4
1958187.1278.7
1957186.2277.4
1956187.9277
1955185.9274.6
1954185.7275
1953185275.4
1952186.1275.1
1951187.1277.5
1950186.9276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份缅甸泰国
2015205.2186.4–218.9290.6272.2–305
2016202.8186.2–218.8287.1269.8–306.2
2017203.4187.3–218.3290273.8–302.8
2018205.5190.9–219.9292.6275.1–308.7
2019205.2186.7–222.2291.2272.8–306.7
2020208.2188.5–223.5292.4272.2–307.8
2021208.9191.2–224.1294.2276.3–308.5
2022209.9192.7–224.9294.8277.2–311.9
2023210.6195.4–226.3296.1281.9–310.2
2024210.4193.8–226.6291.7275.5–307.8
2025209.9190.3–225.2294276.7–306.3
2026212.2194.3–229.2296278–309.3
2027212195.6–228.6295.8276.3–311.1
2028213195.7–227.2297279.3–315.1
2029215.3193.9–231.9300.3278.7–315
2030212.2194.9–228297.7280.2–312.5
2031214.3197.2–230.8300.8282.8–317.1
2032215199.3–229.6297.2280.9–311.4
2033215.5198.5–230.1300281.9–315.8
2034214.9198.4–233.5300.8279–318.4
2035214.9199.2–236.8298.6281.5–317.8
2036216198.7–234.5300.4279.9–316.9
2037217.2199.6–233.5299.8280–315.1
2038220.7204.8–235.1304.8286.6–319.3
2039219.7202.4–234.3300.9281.9–317
2040219.2202.9–235301.6284.5–315.7
2041220.7203.9–237.7303.1285.1–318.8
2042221.8206.1–237.2303.8290–318.3
2043219.5201.2–237.1302285.8–317.9
2044221.4201.6–239.6304.3286.3–318.8
2045223.7204.8–241.5307.1287.7–324.2
2046223.2203.2–240.2305.9285.2–321
2047224.3204.8–241.1306.6289.5–321.5
2048226.4207.7–243.8309.4288.9–325.7
2049226.5205.6–242.8308.1287.2–324.1
2050227209.3–243.5307.5291–321.5
2051229.6212.4–246.4312.8294.8–326
2052227.2208.6–244.2310.9291.2–323.4
2053227.9208.7–247.7308.3289.5–323.3
2054227.9209.6–244.8308.8292.8–322.3
2055229.1209.8–247.5308.6290.6–325.1
2056231.8210.4–252.1311.3294.9–326.3
2057228.6208–249308.5286.7–326.4
2058228.9208.8–249308291.1–325.1
2059230.7212.1–247.5312.7295.8–325.3
2060234.7211.1–251.5313.1294.6–328.6
2061231.9213–247.7314.4289.5–331.1
2062233.6209.9–252.8311.4293.4–330.3
2063233215.4–250.5314.8296.9–327.3
2064233.2214.4–251.3312.5295.4–330
2065230.7210.4–250.7309.6293.1–329.3
2066233.5214.3–251.2312.1292.6–328
2067233211.5–253.3311.2289.6–329.4
2068233.1212.4–253.7310.8292.4–330.6
2069236.1214.6–253.4315.5296.1–329.5
2070235.9218.1–253.4314.2292.9–330.7
2071235.1213.5–259.6313.8296.4–330.8
2072234.6216.1–252.6314.8296–329.6
2073237.2219.3–257.2316.5299.9–332.1
2074236.4215.7–254.5317.2295–333.8
2075236.7214.4–255.9317.2295.3–331.4
2076237.7216–257317.4299.8–335
2077237.5219–258.7317.5297.3–335.9
2078238.5217.3–257.8315.9297.1–331.6
2079238.5219.2–257.2318.5300.5–332.3
2080240.5218.8–258.3319.8297.4–337.5
2081240219.7–260.9317.7299.5–334.9
2082239.4217.1–258.8317.9294.8–333
2083239.1220.5–259.2315297.8–332.9
2084241.3218.9–260.6316295.5–330
2085241.7218.8–260.7322.6300.8–334.7
2086241.7217.4–262.7319.4295.2–335.2
2087241.4220.5–260.9320.2302.2–334.7
2088241.8222.3–261.5321.4299.8–334.8
2089240.7221.2–262.6318.9296.4–338.1
2090241.3224.4–260.9317.6304–337.4
2091242.6220.3–262.5320.1299.8–336.1
2092241.9221.6–263.3316.3298–336.4
2093242.1220.2–260316.1297.7–333.7
2094242.5222.5–261.9323.4301.8–337.3
2095244.9224–264.4322.9302.4–338.9
2096243.9221.1–266.5319.6302.8–336.7
2097243.6219.6–264.2319.8299.1–336
2098243.6222.5–263.9320.5303.9–336
2099244.7221.8–263.5319.9303.1–334.4
2100244.5223.2–261.8320.8301.1–336.7

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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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