中国与哥伦比亚对比

中国与哥伦比亚:温度

2025 年温度:中国为 8.3 °C,哥伦比亚为 24.3 °C(据 ERA5 观测)。 2025 年哥伦比亚的数值较高,高出 16.1 °C,是中国的 2.95 倍。

°C · ERA5

中国与哥伦比亚:温度2025 年温度:中国为 8.3 °C,哥伦比亚为 24.3 °C(据 ERA5 观测)。 2025 年哥伦比亚的数值较高,高出 16.1 °C,是中国的 2.95 倍。
中国哥伦比亚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,哥伦比亚的数值都更高。
  • 2025 年,在 233 个国家中,中国排名第 212,哥伦比亚排名第 105(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,哥伦比亚为 26.8 °C。

逐年数据

°C · ERA5

年份中国中国:CMIP6 历史模拟,模型中位数哥伦比亚哥伦比亚:CMIP6 历史模拟,模型中位数
20258.37.924.325.1
20248.47.92525.2
202387.824.725.1
20227.87.823.925.1
20217.87.724.125
20207.67.724.524.9
20197.67.724.424.8
20187.57.624.124.9
20177.87.724.324.9
20167.87.524.524.8
20157.77.524.424.8
20147.47.324.224.7
20137.47.52424.7
20126.67.423.924.8
20116.97.423.924.7
20107.27.324.324.7
20097.47.22424.7
20087.27.123.724.6
20077.77.123.924.5
20067.67.223.824.5
200577.32424.6
20047.37.123.824.6
20037.17.123.724.5
20027.37.123.724.5
20017.27.223.524.6
20006.8723.324.4
19997.46.923.124.3
19987.66.92424.4
19976.96.923.824.3
19966.56.823.224.2
19956.86.723.724.1
19947.26.623.424
19936.66.323.424
19926.46.223.623.8
19916.76.723.624.3
199076.823.424.4
19896.66.723.124.2
19886.76.623.524.1
19876.86.623.824.1
19866.36.523.124.2
19856.16.523.224
19846.16.32324
19836.36.123.823.9
19826.66.523.424.1
19816.46.523.524.1
19806.36.523.824
19796.56.423.624.1
19786.56.523.524
19776.26.423.624
19765.96.223.224
19756.66.42323.7
19746.16.523.123.9
19736.56.423.624
19726.16.323.523.9
19716.26.322.923.9
197066.323.523.8
196966.323.823.9
19686.16.323.423.9
19675.86.423.423.8
19666.26.423.623.8
19656.26.223.623.8
19646.36.323.523.7
19636.56.523.623.6
19626.26.523.323.9
19616.56.623.323.9
19606.46.523.324
19596.56.523.423.9
19586.56.423.824
19575.76.623.524
19565.76.622.323.9
19556.26.622.623.9
19546.16.522.724
195376.523.323.9
19526.36.423.124
19516.56.522.824
19506.76.622.623.9
  • 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,模型中位数哥伦比亚哥伦比亚:CMIP6 历史模拟,模型中位数
2026–7.97.1–9–25.124.3–25.8
2027–87.2–8.9–25.124.5–25.7
2028–8.17.1–9.1–25.224.6–25.9
2029–8.17.3–9–25.324.8–25.8
2030–8.17.3–8.9–25.224.6–25.7
2031–8.17.2–9–25.324.6–26.1
2032–8.27.4–9–25.324.9–26
2033–8.37.4–9–25.224.6–25.8
2034–8.37.4–9.3–25.224.7–26.1
2035–8.37.4–9.3–25.324.8–26
2036–8.37.5–9.2–25.324.8–25.9
2037–8.47.5–9.4–25.525–26.1
2038–8.57.6–9.3–25.625.1–26.1
2039–8.57.5–9.5–25.424.9–26.3
2040–8.57.6–9.5–25.424.9–26.5
2041–8.57.6–9.6–25.625–26.2
2042–8.57.5–9.6–25.524.8–26.5
2043–8.57.6–9.7–25.524.9–26.4
2044–8.77.7–9.7–25.524.9–26.5
2045–8.77.8–9.6–25.625.1–26.4
2046–8.87.8–9.7–25.925.1–26.6
2047–8.87.8–9.8–25.825.1–26.4
2048–8.97.9–9.9–25.925.1–26.7
2049–8.87.8–10–25.925.2–26.5
2050–97.8–10.1–25.725.2–26.6
2051–98.1–10–25.825.1–26.7
2052–8.87.9–9.8–25.925.3–26.7
2053–98–10–25.825.1–26.7
2054–98.1–10.1–25.825.2–26.8
2055–98.1–10.1–25.925.3–27.1
2056–9.28.2–10.3–25.925.2–26.9
2057–9.27.8–10.3–2625.2–26.8
2058–9.18.2–10.2–2625.2–27.2
2059–9.28.1–10.4–26.225.3–27.2
2060–9.28.1–10.4–26.325.4–27
2061–9.28.2–10.3–26.125.2–27.1
2062–9.38.3–10.6–26.225.2–27.3
2063–9.38.3–10.4–26.225.3–27
2064–9.28.3–10.3–26.125.4–27
2065–9.38.3–10.4–26.225.5–27.1
2066–9.38.3–10.4–26.225.5–27.1
2067–9.38.3–10.5–26.125.3–27.1
2068–9.68.4–10.7–26.325.4–27.3
2069–9.68.3–10.7–26.225.3–27.3
2070–9.48.3–10.7–26.225.3–27.3
2071–9.58.3–10.9–26.425.4–27.3
2072–9.58.3–10.8–26.425.6–27.4
2073–9.78.5–10.8–26.525.8–27.4
2074–9.78.4–11–26.325.4–27.2
2075–9.68.5–10.9–26.425.4–27.3
2076–9.68.5–10.8–26.525.5–27.4
2077–9.78.7–11–26.425.5–27.5
2078–9.68.6–11–26.225.6–27.5
2079–9.78.5–11–26.425.4–27.5
2080–9.78.6–10.9–26.525.5–27.5
2081–9.68.6–11.1–26.525.6–27.5
2082–9.78.6–11–26.525.5–27.3
2083–9.98.9–11.1–26.425.5–27.8
2084–9.98.5–11.1–26.625.6–27.8
2085–9.88.6–11.3–26.725.6–27.9
2086–9.98.5–11.2–26.525.6–27.7
2087–9.88.7–11.3–26.425.6–27.7
2088–9.88.7–11.3–26.625.5–27.8
2089–9.98.6–11.4–26.625.7–27.8
2090–108.9–11.2–26.625.8–27.8
2091–10.19–11.2–26.725.7–27.9
2092–9.98.7–11.2–26.725.6–27.8
2093–9.98.9–11.2–26.625.6–27.8
2094–108.8–11.2–26.625.7–27.7
2095–108.7–11.3–26.825.6–27.8
2096–10.18.5–11.3–26.525.7–27.9
2097–108.7–11.3–26.725.6–27.9
2098–9.98.9–11.4–26.825.7–28.3
2099–108.7–11.3–26.725.7–27.8
2100–108.9–11.3–26.825.8–27.9

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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