伊朗与泰国对比

伊朗与泰国:35 °C 以上天数

2014 年35 °C 以上天数:伊朗为 78.4 天,泰国为 39.9 天(CMIP6 气候模型中位数模拟)。 2014 年伊朗的数值较高,高出 38.5 天,是泰国的 1.96 倍。

每年天数 · CMIP6

伊朗与泰国:35 °C 以上天数2014 年35 °C 以上天数:伊朗为 78.4 天,泰国为 39.9 天(CMIP6 气候模型中位数模拟)。 2014 年伊朗的数值较高,高出 38.5 天,是泰国的 1.96 倍。
伊朗泰国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,伊朗的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伊朗为 110.7 天,泰国为 95.9 天。

逐年数据

每年天数 · CMIP6

年份伊朗泰国
201478.439.9
201378.142.1
201276.840.1
201176.639.9
201073.439.8
200974.537.9
200873.536
20077433
200674.739.2
200574.334.9
200473.239.4
20037334.1
200274.936.3
200173.537.8
20007432.5
199972.229.7
199870.833.3
19977133.7
199670.231.3
199568.633.5
199466.833.5
199364.630.4
19926325.5
199168.935.4
199070.137.7
198969.129.3
198868.430.6
198767.431.2
198666.934.3
198566.729.3
198466.432.4
19836230.4
198265.733.1
198168.329.5
198067.128.8
197968.232.4
197865.126.1
197764.831.5
197665.329.7
197564.325
197463.731.5
197363.734.5
197264.730.3
19716327.1
197062.228.7
196963.229.9
196863.729.4
196764.628.3
196664.125.4
196563.327.1
196462.226.6
196364.126
196265.528.7
196166.331.1
196065.832.9
195964.324.4
195866.233
19576627.8
195663.827.1
195564.331.2
195465.430.3
19536528.2
195266.434.1
195165.533
195066.628.5
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份伊朗泰国
201581.369.5–93.341.123.5–66.3
201681.970.3–9338.915.7–61.2
201781.367.6–92.141.420.8–64.9
201880.569–93.643.521.7–65.5
201982.370.5–92.940.916.5–61.9
202083.472.3–96.245.617.3–66.6
202182.971.4–96.343.720.7–70.7
202282.672–95.747.826.4–73.3
202386.571–98.941.822.3–67.2
202484.771.6–98.344.726.9–70.9
202586.574.4–98.250.227.3–77
202685.773.5–99.344.425.2–80.5
202787.175–98.947.126.2–75.6
202886.871.2–10051.123.1–73.3
202985.773–97.656.733.9–84.7
203087.375.5–100.750.726.1–78.9
203188.674.7–102.550.531.5–81.2
203288.875.2–102.349.823.6–85.7
20339076–104.753.432–73.7
203492.777.2–106.251.531.6–83.4
203591.377.9–105.252.228.9–89.2
203690.277.4–103.253.335.2–77.4
203792.779.2–107.357.632–82.5
203892.778.9–104.862.238.5–91.5
20399278.6–105.855.127.8–78.8
204092.779.2–106.853.728.4–91.3
204191.677.9–103.96337.5–86.6
204295.780.4–108.454.826.4–94.7
204393.178.7–107.657.129.8–85.3
204493.180–107.257.336.7–95.7
204596.981.4–111.254.934.2–90.2
204695.182.6–108.462.736.4–102.1
204797.584.1–111.863.635–98.5
204897.585–110.172.237.4–110.4
204997.882–111.666.240.8–98.3
205099.885.2–113.364.536.9–95.3
205199.883.5–112.166.135.5–97.1
205299.383.9–113.974.339.3–108.1
20539883.4–111.864.635–106.7
20549983.2–112.369.144.2–112.1
2055102.486.9–116.371.445.3–107.6
205610086.2–114.270.536.5–117.7
2057101.688.8–116.57240–104.6
2058101.885.4–11773.140.6–107.3
20599985.4–111.177.251.2–121.4
2060103.488.2–117.680.946–117
2061103.487.5–116.877.335.3–117.8
2062101.885.5–118.173.535.5–125.8
2063104.489.9–118.383.640.3–122.6
2064102.788.3–118.174.746.9–111.8
2065103.888.1–119.269.939.5–124.8
2066104.790.8–119.280.250.7–122.7
2067106.888.7–121.869.437.9–116
206810689.2–118.776.445.8–131.7
2069105.889–120.477.747.4–128.7
2070105.391.5–120.273.839.2–129.5
207110791.4–122.780.642.2–131.6
2072106.487–122.781.347.5–135.3
2073107.990.9–12588.854.2–133.4
2074106.691.1–121.48444.3–128.1
2075106.492.1–12182.838.3–123.9
2076105.689.3–125.682.937.1–132.9
2077107.389.9–121.98849.4–132.4
2078105.791.4–123.391.252–137
2079106.290.6–12285.749.5–144.4
2080107.593.1–126.488.552.7–143.6
2081107.991.3–125.287.150.9–135.1
2082109.294–124.389.953.5–133.6
2083110.292.8–126.887.145.8–149.7
2084109.895.4–124.38447.7–131
2085107.593.5–125.493.853.8–141.8
2086109.693.4–125.687.745.8–139.2
2087111.295.2–125.786.447.4–139.2
2088112.494.1–12790.441.7–153.2
208911196.6–126.290.149–151.2
2090110.192.6–12887.853.3–154.1
2091110.694.3–1278648.2–148.6
2092113.596.8–128.392.650.2–149.9
2093111.896.7–124.789.854.6–159
2094112.595.8–128.995.549.6–143.6
2095111.694.6–127103.458.2–156.3
2096112.595–128.589.951.3–155.4
2097110.392.6–127.194.550.2–142.6
2098111.595.6–128.189.851.6–149.6
2099110.694–127.588.244.7–147.4
2100110.793.4–130.195.951.1–153.3

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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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