中国与西班牙对比

中国与西班牙:温度

2025 年温度:中国为 8.3 °C,西班牙为 15.1 °C(据 ERA5 观测)。 2025 年西班牙的数值较高,高出 6.9 °C,是中国的 1.83 倍。

°C · ERA5

中国与西班牙:温度2025 年温度:中国为 8.3 °C,西班牙为 15.1 °C(据 ERA5 观测)。 2025 年西班牙的数值较高,高出 6.9 °C,是中国的 1.83 倍。
中国西班牙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,西班牙的数值都更高。
  • 2025 年,在 233 个国家中,中国排名第 212,西班牙排名第 166(从高到低)。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 10 °C,西班牙为 16.6 °C。

逐年数据

°C · ERA5

年份中国中国:CMIP6 历史模拟,模型中位数西班牙西班牙:CMIP6 历史模拟,模型中位数
20258.37.915.114.8
20248.47.915.114.8
202387.815.314.8
20227.87.815.514.9
20217.87.714.314.8
20207.67.714.714.7
20197.67.714.614.8
20187.57.614.214.6
20177.87.715.114.6
20167.87.514.614.6
20157.77.514.914.6
20147.47.314.714.2
20137.47.513.814.3
20126.67.414.214.1
20116.97.414.714.2
20107.27.313.714.2
20097.47.214.514.2
20087.27.113.714.3
20077.77.113.814.1
20067.67.214.714.2
200577.313.914.1
20047.37.11414.2
20037.17.114.614.1
20027.37.114.314
20017.27.214.214.1
20006.8714.114
19997.46.91413.9
19987.66.914.113.8
19976.96.914.713.7
19966.56.813.713.7
19956.86.714.813.6
19947.26.614.313.6
19936.66.312.913.5
19926.46.213.313.2
19916.76.713.413.8
199076.814.113.9
19896.66.714.413.6
19886.76.613.613.6
19876.86.613.913.7
19866.36.513.313.2
19856.16.513.613.4
19846.16.312.713.4
19836.36.113.713.3
19826.66.513.613.5
19816.46.513.713.5
19806.36.51313.5
19796.56.41313.4
19786.56.512.713.4
19776.26.412.913.3
19765.96.212.713.1
19756.66.412.713.4
19746.16.512.713.3
19736.56.412.813.2
19726.16.312.113.4
19716.26.312.413.1
197066.313.213.1
196966.312.513.2
19686.16.313.313.1
19675.86.41313.3
19666.26.41313.2
19656.26.212.713
19646.36.313.113.3
19636.56.512.313.3
19626.26.51313.4
19616.56.613.913.3
19606.46.512.913.2
19596.56.513.113.5
19586.56.413.113.3
19575.76.612.713.2
19565.76.611.813.4
19556.26.613.713.5
19546.16.512.713.3
195376.51313.3
19526.36.412.813.3
19516.56.512.513.3
19506.76.613.513.5
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份中国中国:CMIP6 历史模拟,模型中位数西班牙西班牙:CMIP6 历史模拟,模型中位数
2026–7.97.1–9–14.814.3–15.9
2027–87.2–8.9–1514.4–15.9
2028–8.17.1–9.1–1514–16.1
2029–8.17.3–9–14.914.1–15.8
2030–8.17.3–8.9–1514–15.8
2031–8.17.2–9–1514.2–15.7
2032–8.27.4–9–15.314.3–15.9
2033–8.37.4–9–15.114.3–15.9
2034–8.37.4–9.3–15.214.5–16.1
2035–8.37.4–9.3–15.314.3–16.1
2036–8.37.5–9.2–15.314.6–16.3
2037–8.47.5–9.4–15.314.5–15.9
2038–8.57.6–9.3–15.414.8–16.1
2039–8.57.5–9.5–15.314.5–16.1
2040–8.57.6–9.5–15.214.4–16.3
2041–8.57.6–9.6–15.314.4–16
2042–8.57.5–9.6–15.214.6–16.2
2043–8.57.6–9.7–15.414.2–16.4
2044–8.77.7–9.7–15.314.6–16.3
2045–8.77.8–9.6–15.514.8–16.2
2046–8.87.8–9.7–15.414.5–16.3
2047–8.87.8–9.8–15.614.6–16.3
2048–8.97.9–9.9–15.414.8–16.4
2049–8.87.8–10–15.714.7–16.9
2050–97.8–10.1–15.714.9–16.6
2051–98.1–10–15.614.6–16.7
2052–8.87.9–9.8–15.614.9–16.6
2053–98–10–15.714.7–16.8
2054–98.1–10.1–15.814.7–16.7
2055–98.1–10.1–15.814.9–16.7
2056–9.28.2–10.3–15.714.9–16.7
2057–9.27.8–10.3–15.914.7–16.9
2058–9.18.2–10.2–15.914.9–17.1
2059–9.28.1–10.4–15.814.9–17
2060–9.28.1–10.4–15.915.3–16.8
2061–9.28.2–10.3–16.215.1–17.1
2062–9.38.3–10.6–16.114.7–17
2063–9.38.3–10.4–16.315.1–17
2064–9.28.3–10.3–15.814.8–17
2065–9.38.3–10.4–15.914.7–17.2
2066–9.38.3–10.4–1615–16.9
2067–9.38.3–10.5–1615–17.1
2068–9.68.4–10.7–1615.3–17.2
2069–9.68.3–10.7–16.415.2–17.1
2070–9.48.3–10.7–16.215.1–17.4
2071–9.58.3–10.9–16.315.2–17.3
2072–9.58.3–10.8–16.215.1–17.4
2073–9.78.5–10.8–16.415.1–17.4
2074–9.78.4–11–16.315.2–17.5
2075–9.68.5–10.9–16.115.1–17.3
2076–9.68.5–10.8–16.315.2–17.5
2077–9.78.7–11–16.114.9–17.4
2078–9.68.6–11–16.115.1–17.6
2079–9.78.5–11–16.115.2–17.6
2080–9.78.6–10.9–16.315.3–17.4
2081–9.68.6–11.1–16.115.2–17.6
2082–9.78.6–11–16.315.3–17.5
2083–9.98.9–11.1–16.515.4–17.5
2084–9.98.5–11.1–16.415.5–17.5
2085–9.88.6–11.3–16.515.6–17.6
2086–9.98.5–11.2–16.415.4–17.7
2087–9.88.7–11.3–16.715.8–18
2088–9.88.7–11.3–16.715.7–18.2
2089–9.98.6–11.4–16.515.6–17.6
2090–108.9–11.2–16.815.6–17.8
2091–10.19–11.2–16.715.4–17.8
2092–9.98.7–11.2–16.515.4–17.6
2093–9.98.9–11.2–16.515.5–17.6
2094–108.8–11.2–16.415.2–17.9
2095–108.7–11.3–16.615.3–17.8
2096–10.18.5–11.3–16.815–18
2097–108.7–11.3–16.615.5–17.9
2098–9.98.9–11.4–16.715.4–17.8
2099–108.7–11.3–16.715.6–17.9
2100–108.9–11.3–16.615.3–17.8

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。

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

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