瑞典与阿拉伯联合酋长国对比

瑞典与阿拉伯联合酋长国：热带夜

2014 年热带夜：瑞典为 0.1 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年阿拉伯联合酋长国的数值较高，高出 215.1 夜，是瑞典的 4,300 倍。

在地图上查看其变化

每年夜数 · CMIP6

瑞典与阿拉伯联合酋长国：热带夜2014 年热带夜：瑞典为 0.1 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年阿拉伯联合酋长国的数值较高，高出 215.1 夜，是瑞典的 4,300 倍。
瑞典阿拉伯联合酋长国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，阿拉伯联合酋长国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年瑞典为 0.7 夜，阿拉伯联合酋长国为 252 夜。

逐年数据

每年夜数 · CMIP6

年份瑞典阿拉伯联合酋长国
20140.1215.2
20130.1215.5
20120219.6
20110218
20100213.7
20090212
20080214.8
20070215.8
20060215.4
20050212.2
20040212.4
20030213.4
20020211.6
20010211.6
20000212.5
19990211.7
19980209.4
19970210.8
19960207.8
19950206.6
19940206.8
19930204.2
19920204.3
19910206.7
19900208.5
19890205.9
19880204
19870203.6
19860206.2
19850204.1
19840202.6
19830200.4
19820203.2
19810205.1
19800202.8
19790203.2
19780201.5
19770202.2
19760202.3
19750199.3
19740202
19730200.9
19720199.4
19710197
19700201.3
19690199.8
19680202.3
19670197.7
19660198
19650200.5
19640199.6
19630197.9
19620201.1
19610200.6
19600204.3
19590202.6
19580202.7
19570203.2
19560202.6
19550201
19540200.2
19530200
19520200.2
19510198.9
19500201.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份瑞典阿拉伯联合酋长国
20150.10–0.3221.6206.4–232
201600–0.3218.7207.6–229.7
201700–0.4218.3203.9–232.7
201800–0.3221.4209.2–237.6
20190.10–0.5218.7202.8–232.2
202000–0.3221.7206.9–233.5
202100–0.3224.6210.5–236.3
20220.10–0.5225.3206.9–235.7
20230.10–0.6225209.1–236.4
202400–0.4223.8205.2–240
20250.10–1226.3210.1–245
20260.10–1227.7214.2–244.9
20270.10–0.3227.6208.2–241.5
20280.10–0.6229.9210.9–241.3
20290.10–0.8225.1211–240
20300.10–0.5227.6216.2–240.9
20310.10–0.4229.3215.4–238.4
20320.10–0.8225.5211.9–240.5
20330.10–0.8224.2211.4–241.3
20340.10–0.7230.4213–245
20350.20–0.8231.6214.2–246.5
20360.10–0.8230217.2–247.1
20370.10–1232.6220.2–244.5
20380.10–1.2233.6213.5–248.4
20390.10–0.8231.4218.1–245.6
20400.10–0.8232.5214–246.4
20410.10–1.2230.4214.9–244.7
20420.20–1.2232.6213.3–249.6
20430.20–1.1233.9220.3–250.1
20440.10–1.1236.3223.3–250
20450.10–0.6236217.2–252
20460.20–1.3237.5219.3–255
20470.30–2.1240.9222.1–253
20480.30–1.8241.8226.1–256.9
20490.20–1.6233.7215.7–249.4
20500.20–1.8240.1226.8–250.9
20510.20–1.7240.9227.2–254.5
20520.20–2239.2228.3–256.1
20530.10–1.3241.4221.7–257.4
20540.20–1.1241.3223.5–256.1
20550.20–1.6240.5223.3–259.3
20560.20–1.5239.3220.5–258.9
20570.20–1.4242.2226.6–260.2
20580.30–2.3238.9224.7–255.4
20590.30–1.7244.2226.6–262.6
20600.20–1.4241227.4–255.2
20610.40–1.6239.9227.9–253.1
20620.30.1–1.7243.2227.3–264.4
20630.20–2.1245.3229.1–264.6
20640.20–1.6241.1225.2–258.6
20650.30–3244.3225.3–260.5
20660.20–2.8246230.8–261.7
20670.30–2245.4223–265.8
20680.20–1.5245.4232.6–266.7
20690.60.1–3.1244.6227.4–262.2
20700.30–2248.1225.9–266.5
20710.30–2.7248.6231–266
20720.20–2247.9230.2–267
20730.40–4.6247.9227.6–261.8
20740.20–2.8247.5227.3–270.8
20750.30–2.9251.8234.3–269.8
20760.40–2.4247.5228.7–266.1
20770.40–2.2252.9233.3–269.1
20780.50–3.1249.9234.1–264.7
20790.40–3.1247.6227.4–265.8
20800.30–2.1248232–267.9
20810.30–3250.7231–267.6
20820.40–4.4248.9235.3–266.8
20830.50.1–3248.6234.2–273.1
20840.30–2.4248.9228.9–268.2
20850.40–3.3253236.8–270.7
20860.70–4253.4234.9–273.3
20870.60–6252.9236.9–274.1
20880.50–2.7252.1231.1–276.1
20890.50.1–3.4253.4234.1–271.9
20900.40–2.9251.9236.4–274.5
20910.60–3.9254.8240.7–274.4
20920.80–4.2254.6232.1–275.1
20930.70.1–4.8250.9233.5–268.9
20940.50–2.6251.6236.6–270.8
20950.50.1–4.3252.4238.2–272
20960.50–3.7254.6236–272.6
20970.50–4.5251.4227.8–278
20980.50.1–3.7257.8237.5–278.8
20990.30–3.2252.5233.5–276.1
21000.70–4.4252236.2–276

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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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