泰国与阿拉伯联合酋长国对比

泰国与阿拉伯联合酋长国：热带夜

2014 年热带夜：泰国为 286.4 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 71.2 夜，是阿拉伯联合酋长国的 1.33 倍。

在地图上查看其变化

每年夜数 · CMIP6

泰国与阿拉伯联合酋长国：热带夜2014 年热带夜：泰国为 286.4 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 71.2 夜，是阿拉伯联合酋长国的 1.33 倍。
泰国阿拉伯联合酋长国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 年泰国为 320.8 夜，阿拉伯联合酋长国为 252 夜。

逐年数据

每年夜数 · CMIP6

年份泰国阿拉伯联合酋长国
2014286.4215.2
2013289.1215.5
2012286.6219.6
2011286.4218
2010286213.7
2009286.9212
2008284.8214.8
2007283.2215.8
2006284.3215.4
2005281.7212.2
2004287.5212.4
2003279.3213.4
2002280211.6
2001285.5211.6
2000283.4212.5
1999282.5211.7
1998282.7209.4
1997284.8210.8
1996279.8207.8
1995278.7206.6
1994280.8206.8
1993275.6204.2
1992268.8204.3
1991276.7206.7
1990279.2208.5
1989278.4205.9
1988279.6204
1987277.9203.6
1986277.5206.2
1985276204.1
1984277.9202.6
1983273.9200.4
1982275.7203.2
1981277.8205.1
1980277.9202.8
1979278203.2
1978276201.5
1977277.3202.2
1976275.6202.3
1975274.4199.3
1974276202
1973280.6200.9
1972273.9199.4
1971273.2197
1970276201.3
1969274.8199.8
1968277202.3
1967270.3197.7
1966274.4198
1965275.8200.5
1964271.9199.6
1963274.7197.9
1962275.4201.1
1961278.5200.6
1960276.2204.3
1959274.4202.6
1958278.7202.7
1957277.4203.2
1956277202.6
1955274.6201
1954275200.2
1953275.4200
1952275.1200.2
1951277.5198.9
1950276.2201.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份泰国阿拉伯联合酋长国
2015290.6272.2–305221.6206.4–232
2016287.1269.8–306.2218.7207.6–229.7
2017290273.8–302.8218.3203.9–232.7
2018292.6275.1–308.7221.4209.2–237.6
2019291.2272.8–306.7218.7202.8–232.2
2020292.4272.2–307.8221.7206.9–233.5
2021294.2276.3–308.5224.6210.5–236.3
2022294.8277.2–311.9225.3206.9–235.7
2023296.1281.9–310.2225209.1–236.4
2024291.7275.5–307.8223.8205.2–240
2025294276.7–306.3226.3210.1–245
2026296278–309.3227.7214.2–244.9
2027295.8276.3–311.1227.6208.2–241.5
2028297279.3–315.1229.9210.9–241.3
2029300.3278.7–315225.1211–240
2030297.7280.2–312.5227.6216.2–240.9
2031300.8282.8–317.1229.3215.4–238.4
2032297.2280.9–311.4225.5211.9–240.5
2033300281.9–315.8224.2211.4–241.3
2034300.8279–318.4230.4213–245
2035298.6281.5–317.8231.6214.2–246.5
2036300.4279.9–316.9230217.2–247.1
2037299.8280–315.1232.6220.2–244.5
2038304.8286.6–319.3233.6213.5–248.4
2039300.9281.9–317231.4218.1–245.6
2040301.6284.5–315.7232.5214–246.4
2041303.1285.1–318.8230.4214.9–244.7
2042303.8290–318.3232.6213.3–249.6
2043302285.8–317.9233.9220.3–250.1
2044304.3286.3–318.8236.3223.3–250
2045307.1287.7–324.2236217.2–252
2046305.9285.2–321237.5219.3–255
2047306.6289.5–321.5240.9222.1–253
2048309.4288.9–325.7241.8226.1–256.9
2049308.1287.2–324.1233.7215.7–249.4
2050307.5291–321.5240.1226.8–250.9
2051312.8294.8–326240.9227.2–254.5
2052310.9291.2–323.4239.2228.3–256.1
2053308.3289.5–323.3241.4221.7–257.4
2054308.8292.8–322.3241.3223.5–256.1
2055308.6290.6–325.1240.5223.3–259.3
2056311.3294.9–326.3239.3220.5–258.9
2057308.5286.7–326.4242.2226.6–260.2
2058308291.1–325.1238.9224.7–255.4
2059312.7295.8–325.3244.2226.6–262.6
2060313.1294.6–328.6241227.4–255.2
2061314.4289.5–331.1239.9227.9–253.1
2062311.4293.4–330.3243.2227.3–264.4
2063314.8296.9–327.3245.3229.1–264.6
2064312.5295.4–330241.1225.2–258.6
2065309.6293.1–329.3244.3225.3–260.5
2066312.1292.6–328246230.8–261.7
2067311.2289.6–329.4245.4223–265.8
2068310.8292.4–330.6245.4232.6–266.7
2069315.5296.1–329.5244.6227.4–262.2
2070314.2292.9–330.7248.1225.9–266.5
2071313.8296.4–330.8248.6231–266
2072314.8296–329.6247.9230.2–267
2073316.5299.9–332.1247.9227.6–261.8
2074317.2295–333.8247.5227.3–270.8
2075317.2295.3–331.4251.8234.3–269.8
2076317.4299.8–335247.5228.7–266.1
2077317.5297.3–335.9252.9233.3–269.1
2078315.9297.1–331.6249.9234.1–264.7
2079318.5300.5–332.3247.6227.4–265.8
2080319.8297.4–337.5248232–267.9
2081317.7299.5–334.9250.7231–267.6
2082317.9294.8–333248.9235.3–266.8
2083315297.8–332.9248.6234.2–273.1
2084316295.5–330248.9228.9–268.2
2085322.6300.8–334.7253236.8–270.7
2086319.4295.2–335.2253.4234.9–273.3
2087320.2302.2–334.7252.9236.9–274.1
2088321.4299.8–334.8252.1231.1–276.1
2089318.9296.4–338.1253.4234.1–271.9
2090317.6304–337.4251.9236.4–274.5
2091320.1299.8–336.1254.8240.7–274.4
2092316.3298–336.4254.6232.1–275.1
2093316.1297.7–333.7250.9233.5–268.9
2094323.4301.8–337.3251.6236.6–270.8
2095322.9302.4–338.9252.4238.2–272
2096319.6302.8–336.7254.6236–272.6
2097319.8299.1–336251.4227.8–278
2098320.5303.9–336257.8237.5–278.8
2099319.9303.1–334.4252.5233.5–276.1
2100320.8301.1–336.7252236.2–276

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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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