泰国与阿拉伯联合酋长国对比

泰国与阿拉伯联合酋长国:35 °C 以上天数

2014 年35 °C 以上天数:泰国为 39.9 天,阿拉伯联合酋长国为 188.2 天(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 148.3 天,是泰国的 4.71 倍。

泰国阿拉伯联合酋长国
在地图上查看其变化
泰国与阿拉伯联合酋长国:35 °C 以上天数2014 年35 °C 以上天数:泰国为 39.9 天,阿拉伯联合酋长国为 188.2 天(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 148.3 天,是泰国的 4.71 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

最新数据

每年天数 · CMIP6

国家最新10 年前预测值
泰国39.9 201439.495.9 2100
阿拉伯联合酋长国188.2 2014183211.7 2100

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 年泰国为 95.9 天,阿拉伯联合酋长国为 211.7 天。

逐年数据

每年天数 · CMIP6

年份泰国阿拉伯联合酋长国
201439.9188.2
201342.1186.1
201240.1186.5
201139.9186.2
201039.8184.6
200937.9182.8
200836184.9
200733183.2
200639.2182.4
200534.9184
200439.4183
200334.1181.2
200236.3184.4
200137.8185.8
200032.5183.5
199929.7182.7
199833.3179.4
199733.7180.6
199631.3177.8
199533.5178.9
199433.5179.9
199330.4173.8
199225.5173.5
199135.4176.1
199037.7179.8
198929.3176.8
198830.6177.1
198731.2176.2
198634.3177
198529.3174.6
198432.4176.3
198330.4170.9
198233.1174.8
198129.5177.2
198028.8178.3
197932.4174.3
197826.1175.3
197731.5173.8
197629.7176.1
197525171.8
197431.5173.4
197334.5175
197230.3172.7
197127.1170
197028.7172.4
196929.9172.3
196829.4172.5
196728.3169.7
196625.4172.2
196527.1170.5
196426.6171.1
196326172.1
196228.7174.7
196131.1174.7
196032.9175.7
195924.4175.1
195833177.7
195727.8176.8
195627.1174.3
195531.2174
195430.3173.4
195328.2174.2
195234.1175.2
195133174.5
195028.5173.6
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
201541.123.5–66.3191.2179.8–204.4
201638.915.7–61.2189.6178.1–197.4
201741.420.8–64.9188171.7–199.5
201843.521.7–65.5189.4176.5–202.3
201940.916.5–61.9188.9176.5–199.6
202045.617.3–66.6191.1179.6–203.2
202143.720.7–70.7189.5176.6–201.4
202247.826.4–73.3189.6170.9–200.8
202341.822.3–67.2190.8179–205.1
202444.726.9–70.9192.5179.6–206
202550.227.3–77190.7180.4–202.7
202644.425.2–80.5195.8183.5–207.4
202747.126.2–75.6194.4181.1–206.7
202851.123.1–73.3194.9182.7–205.4
202956.733.9–84.7192.1179.1–205.4
203050.726.1–78.9196.6182.9–206.4
203150.531.5–81.2196.3182.6–206.8
203249.823.6–85.7194.1182.4–203
203353.432–73.7197.4184.9–212.1
203451.531.6–83.4203.2184.1–214.6
203552.228.9–89.2197.7184–208.1
203653.335.2–77.4196.3179.4–207.3
203757.632–82.5196.4187.8–208.6
203862.238.5–91.5199.4181.9–210
203955.127.8–78.8199.8185.5–210.9
204053.728.4–91.3199.6182.7–208.1
20416337.5–86.6198.1183.2–210.9
204254.826.4–94.7199.2184.4–211.7
204357.129.8–85.3201.1183.5–212.8
204457.336.7–95.7201.1188.2–208.5
204554.934.2–90.2202189.1–212.7
204662.736.4–102.1199.2188.6–214.5
204763.635–98.5201.6193.4–213.9
204872.237.4–110.4204.3189.9–219.4
204966.240.8–98.3202.4187.6–213.8
205064.536.9–95.3206.3191–216.8
205166.135.5–97.1205.6193–217.4
205274.339.3–108.1204.2190.8–217.7
205364.635–106.7204.1189.3–214.8
205469.144.2–112.1201.8189.2–219.8
205571.445.3–107.6207.2190.6–220.1
205670.536.5–117.7204.4189.9–217.7
20577240–104.6208.6196.9–223
205873.140.6–107.3204.4194.1–215.5
205977.251.2–121.4205.3186.3–217.3
206080.946–117208.1195–218.2
206177.335.3–117.8206.4193.8–215.8
206273.535.5–125.8209.9192.6–220.5
206383.640.3–122.6207.6195.5–221.1
206474.746.9–111.8205.1189–222.7
206569.939.5–124.8206.2190.5–221.6
206680.250.7–122.7209.6192.6–225.1
206769.437.9–116210.1197.6–223.1
206876.445.8–131.7205194.4–216.7
206977.747.4–128.7209192.1–222.3
207073.839.2–129.5209.4198.4–224
207180.642.2–131.6214.1194.6–225.3
207281.347.5–135.3210.3194–222.6
207388.854.2–133.4211.9196.4–224.7
20748444.3–128.1211.3194.9–225.3
207582.838.3–123.9209.5194.1–226.1
207682.937.1–132.9208.3195–226.6
20778849.4–132.4212.1197.6–223.3
207891.252–137211.5198.5–223.7
207985.749.5–144.4207.9195.3–223.5
208088.552.7–143.6209.5195.7–225.6
208187.150.9–135.1211.3191.2–224.7
208289.953.5–133.6211196.8–227.8
208387.145.8–149.7214.3198.3–225.1
20848447.7–131212.4201.1–226.6
208593.853.8–141.8212.3198.9–229.9
208687.745.8–139.2213.2196.1–230.7
208786.447.4–139.2213.3201.4–225.1
208890.441.7–153.2213.1201.1–229.8
208990.149–151.2214.3201.6–225.4
209087.853.3–154.1213.9200.9–226.3
20918648.2–148.6211.5201.4–224.6
209292.650.2–149.9212.1200.8–225.7
209389.854.6–159212.2197.4–229.7
209495.549.6–143.6213.7198.4–226.1
2095103.458.2–156.3215204.2–226.4
209689.951.3–155.4215.8198.9–226.3
209794.550.2–142.6213196.7–228
209889.851.6–149.6214.6200.6–230.3
209988.244.7–147.4215203.6–229.1
210095.951.1–153.3211.7198.7–224.8

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须知

  • 一年中最高气温超过 35 °C 的天数,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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