伊朗与土库曼斯坦对比

伊朗与土库曼斯坦:35 °C 以上天数

2014 年35 °C 以上天数:伊朗为 78.4 天,土库曼斯坦为 79.2 天(CMIP6 气候模型中位数模拟)。 2014 年土库曼斯坦的数值较高,高出 0.8 天,是伊朗的 1.01 倍。

每年天数 · CMIP6

伊朗与土库曼斯坦:35 °C 以上天数2014 年35 °C 以上天数:伊朗为 78.4 天,土库曼斯坦为 79.2 天(CMIP6 气候模型中位数模拟)。 2014 年土库曼斯坦的数值较高,高出 0.8 天,是伊朗的 1.01 倍。
伊朗土库曼斯坦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 2014 年超过伊朗以来,土库曼斯坦的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伊朗为 110.7 天,土库曼斯坦为 111.1 天。

逐年数据

每年天数 · CMIP6

年份伊朗土库曼斯坦
201478.479.2
201378.177.6
201276.875
201176.674.7
201073.471.7
200974.577.6
200873.571.6
20077473.4
200674.775.5
200574.373.9
200473.273.6
20037372
200274.974.3
200173.573
20007471
199972.270.6
199870.869.4
19977172.5
199670.267.8
199568.666.6
199466.863
199364.659.5
19926359.6
199168.966.4
199070.166.6
198969.165.5
198868.466.7
198767.465.9
198666.960.8
198566.767.3
198466.460.6
19836254.3
198265.763.1
198168.363.9
198067.163.4
197968.265.7
197865.160.9
197764.861.4
197665.360.6
197564.360.4
197463.758.5
197363.758.5
197264.761.1
19716358.2
197062.259.7
196963.260.8
196863.758.8
196764.659.8
196664.158.4
196563.358.6
196462.261.2
196364.160.4
196265.561.1
196166.363.1
196065.860.3
195964.361.1
195866.266.4
19576661.7
195663.862
195564.360.1
195465.463.9
19536559.5
195266.461.5
195165.562.3
195066.663.2
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份伊朗土库曼斯坦
201581.369.5–93.380.369.6–95.4
201681.970.3–9379.667.7–93.9
201781.367.6–92.181.665.5–92.2
201880.569–93.680.165.1–95.3
201982.370.5–92.982.770.7–94
202083.472.3–96.281.870.8–97.3
202182.971.4–96.382.769.4–96.3
202282.672–95.781.870.1–95.2
202386.571–98.98871.5–97.1
202484.771.6–98.385.670.1–99
202586.574.4–98.286.875.3–98.8
202685.773.5–99.384.571.9–98.4
202787.175–98.985.172.6–101.7
202886.871.2–10085.673.7–100.2
202985.773–97.684.671–100.5
203087.375.5–100.785.972.9–99.5
203188.674.7–102.590.177.7–102.9
203288.875.2–102.392.576.1–105.9
20339076–104.790.575.2–104.7
203492.777.2–106.28973.9–103.8
203591.377.9–105.29276.8–103.1
203690.277.4–103.289.573.3–104.3
203792.779.2–107.392.980.2–106.5
203892.778.9–104.89478.1–105.8
20399278.6–105.889.773.7–101.9
204092.779.2–106.893.373.4–106.9
204191.677.9–103.993.579.1–104
204295.780.4–108.493.878.9–106
204393.178.7–107.691.878.8–102.9
204493.180–107.294.278.9–109.4
204596.981.4–111.296.375.6–109.2
204695.182.6–108.495.283–108.4
204797.584.1–111.895.781–110
204897.585–110.197.383–108.6
204997.882–111.697.383.3–109.4
205099.885.2–113.399.686.3–112.8
205199.883.5–112.196.884.4–105.5
205299.383.9–113.998.183.4–111.3
20539883.4–111.898.186.4–109.3
20549983.2–112.3101.284.6–112.9
2055102.486.9–116.399.883.7–115.8
205610086.2–114.2103.287–115.6
2057101.688.8–116.5102.690.7–116.5
2058101.885.4–117100.784.8–115.5
20599985.4–111.198.585.3–110.3
2060103.488.2–117.6103.188.1–115.2
2061103.487.5–116.899.487.1–114.5
2062101.885.5–118.1102.485.7–114.9
2063104.489.9–118.3103.785.8–118.7
2064102.788.3–118.199.983–116.2
2065103.888.1–119.2106.387.7–118.9
2066104.790.8–119.2100.588.5–115.6
2067106.888.7–121.8104.884.9–120.1
206810689.2–118.7103.388.4–115.4
2069105.889–120.410487.7–118.6
2070105.391.5–120.2102.390.6–117.4
207110791.4–122.7104.390.1–118.4
2072106.487–122.7105.984–120.6
2073107.990.9–125105.189.9–122.1
2074106.691.1–121.4107.392.8–118.6
2075106.492.1–121104.391.7–118.8
2076105.689.3–125.6103.687.6–124.5
2077107.389.9–121.910791.7–118.5
2078105.791.4–123.3105.391.4–119.7
2079106.290.6–122104.191.5–121
2080107.593.1–126.4105.793.8–123.3
2081107.991.3–125.2105.790.7–121.2
2082109.294–124.3107.793.8–121.4
2083110.292.8–126.811194.8–123
2084109.895.4–124.3108.492.2–122.7
2085107.593.5–125.4104.191.1–122.3
2086109.693.4–125.6106.890.8–120.9
2087111.295.2–125.7108.296–121.7
2088112.494.1–127109.890.3–123.4
208911196.6–126.2109.291.4–124.5
2090110.192.6–128108.991.2–128.4
2091110.694.3–12711191.5–125.6
2092113.596.8–128.3111.690.5–122.8
2093111.896.7–124.7108.393.6–122.8
2094112.595.8–128.9111.697.6–128.6
2095111.694.6–127111.392–122.9
2096112.595–128.511297.2–126.3
2097110.392.6–127.1111.296.3–125.4
2098111.595.6–128.1111.294.1–126.6
2099110.694–127.5111.197.6–125.8
2100110.793.4–130.1111.193.8–129.1

分别查看各国

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。

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

伊朗与土库曼斯坦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境