法国与肯尼亚对比

法国与肯尼亚:温度

2025 年温度:法国为 12.3 °C,肯尼亚为 25.9 °C(据 ERA5 观测)。 2025 年肯尼亚的数值较高,高出 13.5 °C,是法国的 2.1 倍。

°C · ERA5

法国与肯尼亚:温度2025 年温度:法国为 12.3 °C,肯尼亚为 25.9 °C(据 ERA5 观测)。 2025 年肯尼亚的数值较高,高出 13.5 °C,是法国的 2.1 倍。
法国肯尼亚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,肯尼亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年法国为 13.7 °C,肯尼亚为 27.4 °C。

逐年数据

°C · ERA5

年份法国法国:CMIP6 历史模拟,模型中位数肯尼亚肯尼亚:CMIP6 历史模拟,模型中位数
202512.312.125.926
202412.211.926.126.2
202312.811.925.726
20221312.325.725.9
202111.412.125.825.9
202012.61225.525.9
201912.21225.925.8
201812.411.925.125.9
201711.811.625.925.8
201611.611.925.825.7
201512.111.725.825.8
201412.311.525.525.7
201310.911.725.225.6
201211.311.425.425.6
201112.211.625.525.7
201010.411.625.525.6
200911.511.625.825.6
200811.111.625.325.5
200711.511.525.425.4
200611.811.625.425.5
200511.211.525.625.5
200411.211.425.325.5
20031211.425.325.5
200211.711.225.125.5
200111.311.32525.6
200011.611.325.225.4
199911.511.12525.4
19981111.124.825.4
199711.71124.925.3
199610.41125.125.3
199511.410.925.125.2
199411.910.92525.1
199310.610.624.725
199210.910.624.824.9
199110.51124.825.2
199011.61124.625.3
198911.71124.425.2
198811.110.82525.2
198710.310.925.325.2
198610.310.524.625.2
19859.910.624.525
198410.210.824.725.1
198310.910.625.225
198211.210.624.625.1
198110.610.724.625.2
19809.810.82525.2
197910.110.624.225.1
197810.110.724.125.1
197710.610.424.325.1
197610.910.324.625
197510.510.624.425
197410.610.824.525
197310.310.625.125.1
19721010.524.725
197110.310.424.325
197010.410.324.524.9
196910.310.424.624.9
196810.410.423.724.9
196710.610.524.224.8
196610.810.524.724.9
19651010.424.324.9
196410.510.42424.7
19639.510.623.924.8
19621010.62425
196111.610.624.325
196010.710.524.425
195911.510.724.625
195810.710.624.425
195710.810.524.125
19569.510.724.225
195510.810.724.325
19549.910.52425
195310.510.523.125
195210.510.723.525
195110.310.623.525
195010.710.723.525
  • 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,模型中位数肯尼亚肯尼亚:CMIP6 历史模拟,模型中位数
2026–12.311.4–13.4–2625.4–26.7
2027–12.211.6–13.3–2625.4–26.6
2028–12.211.5–13.5–26.125.6–26.6
2029–12.211.4–13.1–26.225.6–26.7
2030–12.111.3–13–26.125.7–26.6
2031–12.111.3–13.2–26.225.8–26.7
2032–12.511.5–13.4–26.225.8–26.8
2033–12.311.3–13.3–26.325.7–26.8
2034–12.511.4–13.5–26.225.7–26.8
2035–12.411.4–13.5–26.325.7–26.8
2036–12.511.7–13.7–26.225.7–26.8
2037–12.411.5–13.2–26.325.8–26.9
2038–12.411.7–13.2–26.425.7–26.9
2039–12.411.5–13.2–26.425.8–26.8
2040–12.311.5–13.6–26.325.9–26.9
2041–12.311.7–13.3–26.525.8–27.2
2042–12.411.7–13.5–26.525.9–27.1
2043–12.511.3–13.7–26.325.8–27
2044–12.511.4–13.7–26.525.9–27
2045–12.612–13.5–26.526–27.2
2046–12.511.5–13.4–26.626–27.4
2047–12.811.7–13.5–26.726–27.3
2048–12.712.1–13.7–26.626.1–27.4
2049–12.611.9–14.2–26.826.1–27.4
2050–12.912.2–13.7–26.626.1–27.4
2051–12.811.5–13.9–26.826.1–27.4
2052–12.811.7–14–26.826.2–27.4
2053–12.911.7–13.8–26.726–27.3
2054–12.811.9–13.8–26.726–27.3
2055–12.911.9–14–26.826.1–27.4
2056–12.811.6–14.3–26.826–27.5
2057–12.911.8–14.3–26.826.3–27.6
2058–13.112.3–14.4–26.926.1–27.6
2059–1311.8–14.1–26.926.2–27.7
2060–13.212.3–13.8–27.126.1–27.7
2061–13.312.3–14.1–2726.2–27.7
2062–13.212–14.2–26.926.2–27.8
2063–13.412.2–14.2–2726.4–27.6
2064–12.812–13.9–27.126.2–27.6
2065–13.111.7–14.5–2726.4–27.8
2066–13.112.1–14.4–2726.4–27.7
2067–13.412–14.5–27.126.3–27.8
2068–13.212.4–14.6–27.126.3–27.8
2069–13.512.3–14.5–2726.3–27.9
2070–13.112.1–14.8–2726.3–27.8
2071–13.312–14.7–27.226.4–28
2072–13.312.5–14.6–27.226.5–27.8
2073–13.312.4–14.5–27.226.5–28
2074–13.412.2–14.6–27.126.4–28
2075–1312.1–14.4–27.126.3–28
2076–13.312.2–14.9–27.326.5–28.1
2077–13.112–14.4–27.326.5–28.1
2078–13.212.3–15–27.126.5–27.9
2079–13.212.1–14.8–27.326.5–28.1
2080–13.312.4–14.7–27.326.5–28.1
2081–13.312.3–14.8–27.326.6–28.1
2082–13.412.3–14.8–27.426.5–28.1
2083–13.412.4–14.5–27.326.6–28.4
2084–13.512.4–14.5–27.426.6–28.2
2085–13.712.6–14.5–27.326.6–28.3
2086–13.612.4–14.9–27.526.5–28.3
2087–13.712.7–15.2–27.426.6–28.3
2088–13.812.6–15.3–27.426.6–28.3
2089–13.712.5–14.8–27.426.7–28.1
2090–13.912.6–14.9–27.426.7–28.4
2091–13.612.6–15–27.626.6–28.4
2092–13.612.5–14.8–27.426.6–28.3
2093–13.412.5–14.7–27.526.7–28.3
2094–13.512.4–15.2–27.526.8–28.3
2095–13.512.3–15.1–27.626.7–28.4
2096–13.912.2–15–27.526.5–28.5
2097–13.412.5–15.1–27.526.5–28.3
2098–13.812.5–14.9–27.626.7–28.4
2099–13.912.5–14.9–27.526.5–28.6
2100–13.712.5–14.9–27.426.5–28.4

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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