法国与伊朗对比

法国与伊朗:温度

2025 年温度:法国为 12.3 °C,伊朗为 19.8 °C(据 ERA5 观测)。 2025 年伊朗的数值较高,高出 7.5 °C,是法国的 1.6 倍。

°C · ERA5

法国与伊朗:温度2025 年温度:法国为 12.3 °C,伊朗为 19.8 °C(据 ERA5 观测)。 2025 年伊朗的数值较高,高出 7.5 °C,是法国的 1.6 倍。
法国伊朗CMIP6 历史模拟,模型中位数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 年法国为 13.7 °C,伊朗为 20.7 °C。

逐年数据

°C · ERA5

年份法国法国:CMIP6 历史模拟,模型中位数伊朗伊朗:CMIP6 历史模拟,模型中位数
202512.312.119.819
202412.211.919.518.9
202312.811.919.818.9
20221312.319.618.7
202111.412.119.818.7
202012.61218.418.6
201912.21218.818.6
201812.411.919.518.4
201711.811.619.118.5
201611.611.919.218.5
201512.111.719.118.6
201412.311.518.518.3
201310.911.718.818.3
201211.311.418.218.2
201112.211.618.418.1
201010.411.619.618
200911.511.618.518
200811.111.618.418
200711.511.518.218
200611.811.618.718
200511.211.518.317.9
200411.211.418.617.9
20031211.418.417.9
200211.711.218.618.1
200111.311.319.118
200011.611.318.417.8
199911.511.118.517.9
19981111.118.517.8
199711.71117.717.8
199610.41117.517.6
199511.410.917.917.6
199411.910.917.917.4
199310.610.617.217.1
199210.910.616.217.1
199110.51117.517.5
199011.61117.817.6
198911.71117.117.4
198811.110.817.617.3
198710.310.917.517.4
198610.310.516.417.4
19859.910.617.117.3
198410.210.816.517.3
198310.910.616.717
198211.210.615.917.2
198110.610.717.317.3
19809.810.817.717.3
197910.110.617.417.3
197810.110.717.617.2
197710.610.417.817.1
197610.910.316.817
197510.510.616.917
197410.610.816.517.1
197310.310.617.417
19721010.515.817.1
197110.310.417.516.9
197010.410.31816.9
196910.310.417.117
196810.410.416.917
196710.610.516.717.1
196610.810.517.917
19651010.417.217
196410.510.416.116.9
19639.510.617.517
19621010.61717.2
196111.610.616.817.2
196010.710.517.117.3
195911.510.716.817.2
195810.710.617.817
195710.810.515.617.4
19569.510.716.616.9
195510.810.717.417.1
19549.910.516.817.1
195310.510.516.717.1
195210.510.716.917.2
195110.310.617.117.3
195010.710.716.417.3
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份法国法国:CMIP6 历史模拟,模型中位数伊朗伊朗:CMIP6 历史模拟,模型中位数
2026–12.311.4–13.4–18.818.2–19.8
2027–12.211.6–13.3–18.918.2–19.9
2028–12.211.5–13.5–18.818.1–19.9
2029–12.211.4–13.1–18.818.1–19.7
2030–12.111.3–13–19.118–20.1
2031–12.111.3–13.2–19.118.4–19.9
2032–12.511.5–13.4–19.118–19.9
2033–12.311.3–13.3–1918.4–20.3
2034–12.511.4–13.5–19.318.3–20.2
2035–12.411.4–13.5–19.318.5–20.2
2036–12.511.7–13.7–19.118.4–19.8
2037–12.411.5–13.2–19.418.3–20.3
2038–12.411.7–13.2–19.418.6–20.2
2039–12.411.5–13.2–19.418.7–20.2
2040–12.311.5–13.6–19.418.6–20.4
2041–12.311.7–13.3–19.418.6–20.2
2042–12.411.7–13.5–19.418.5–20.4
2043–12.511.3–13.7–19.318.6–20.4
2044–12.511.4–13.7–19.518.6–20.5
2045–12.612–13.5–19.718.7–20.7
2046–12.511.5–13.4–19.818.8–20.5
2047–12.811.7–13.5–19.818.8–20.5
2048–12.712.1–13.7–19.618.8–20.8
2049–12.611.9–14.2–19.718.8–20.8
2050–12.912.2–13.7–19.919–20.9
2051–12.811.5–13.9–19.919.1–21
2052–12.811.7–14–2019.1–20.9
2053–12.911.7–13.8–19.919–20.9
2054–12.811.9–13.8–2019–21.2
2055–12.911.9–14–20.119.2–21.2
2056–12.811.6–14.3–19.919.1–20.9
2057–12.911.8–14.3–2019.1–21.4
2058–13.112.3–14.4–2019.1–20.9
2059–1311.8–14.1–2018.8–21.1
2060–13.212.3–13.8–19.919–21.3
2061–13.312.3–14.1–20.119.3–21.1
2062–13.212–14.2–20.219.1–21.5
2063–13.412.2–14.2–20.119.3–21.2
2064–12.812–13.9–2019.1–21.5
2065–13.111.7–14.5–20.219.3–21.3
2066–13.112.1–14.4–20.319.7–21.6
2067–13.412–14.5–20.419.5–21.5
2068–13.212.4–14.6–20.319.4–21.5
2069–13.512.3–14.5–20.419.4–21.6
2070–13.112.1–14.8–20.419.6–21.3
2071–13.312–14.7–20.419.5–21.6
2072–13.312.5–14.6–20.419.2–21.8
2073–13.312.4–14.5–20.619.5–21.8
2074–13.412.2–14.6–20.519.4–21.9
2075–1312.1–14.4–20.619.6–21.8
2076–13.312.2–14.9–20.319.3–21.8
2077–13.112–14.4–20.819.4–21.9
2078–13.212.3–15–20.419.5–21.8
2079–13.212.1–14.8–20.519.5–21.7
2080–13.312.4–14.7–20.519.5–22
2081–13.312.3–14.8–20.519.5–22.1
2082–13.412.3–14.8–20.719.9–21.7
2083–13.412.4–14.5–20.719.9–22
2084–13.512.4–14.5–20.819.8–22.1
2085–13.712.6–14.5–20.619.8–22.3
2086–13.612.4–14.9–20.819.6–22.2
2087–13.712.7–15.2–20.819.6–22.4
2088–13.812.6–15.3–20.719.5–22.2
2089–13.712.5–14.8–20.919.8–22.1
2090–13.912.6–14.9–20.819.7–22.1
2091–13.612.6–15–20.819.9–22.1
2092–13.612.5–14.8–20.920–22.1
2093–13.412.5–14.7–20.920–21.8
2094–13.512.4–15.2–20.920–22.3
2095–13.512.3–15.1–20.919.7–22.2
2096–13.912.2–15–2119.7–22.1
2097–13.412.5–15.1–20.819.7–22.4
2098–13.812.5–14.9–2119.9–22.4
2099–13.912.5–14.9–20.919.5–22.1
2100–13.712.5–14.9–20.719.8–22.3

分别查看各国

须知

  • 全国范围、全年平均的近地面气温。
  • 来源:ERA5 reanalysis (Copernicus, ECMWF) and CMIP6, via the World Bank Climate Change Knowledge Portal。
  • 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。
  • 排名基于 2025 年有数值的 233 个国家,从高到低排列。

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