智利与哥伦比亚对比

智利与哥伦比亚:温度

2025 年温度:智利为 9.4 °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 15 °C,是智利的 2.6 倍。

°C · ERA5

智利与哥伦比亚:温度2025 年温度:智利为 9.4 °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 15 °C,是智利的 2.6 倍。
智利哥伦比亚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,智利排名第 204,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 年智利为 11.1 °C,哥伦比亚为 26.8 °C。

逐年数据

°C · ERA5

年份智利智利: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
20259.49.724.325.1
20249.39.72525.2
20239.59.624.725.1
20228.79.623.925.1
20219.49.624.125
20209.49.624.524.9
20199.49.524.424.8
20189.19.524.124.9
20179.29.424.324.9
20169.79.424.524.8
20159.49.424.424.8
201499.324.224.7
20139.29.32424.7
20129.19.323.924.8
20118.89.323.924.7
20108.69.224.324.7
20098.99.22424.7
200899.223.724.6
20078.59.223.924.5
20069.29.223.824.5
20058.89.12424.6
20049.39.123.824.6
20039.29.223.724.5
20028.59.123.724.5
20018.79.123.524.6
20008.4923.324.4
19998.9923.124.3
19989.592424.4
19979923.824.3
19968.78.923.224.2
19958.88.823.724.1
19949.18.823.424
19938.88.723.424
19928.38.823.623.8
19918.58.923.624.3
19908.7923.424.4
19898.7923.124.2
19888.68.923.524.1
19878.98.923.824.1
19868.58.923.124.2
19858.88.923.224
19848.28.82324
19838.98.823.823.9
19828.98.923.424.1
19818.88.923.524.1
19808.78.823.824
197998.823.624.1
197898.823.524
19778.98.823.624
197688.723.224
19758.18.72323.7
19748.28.823.123.9
19738.48.723.624
19728.48.723.523.9
197188.722.923.9
19708.48.723.523.8
19698.68.723.823.9
19688.78.723.423.9
19678.28.723.423.8
19668.38.723.623.8
19658.48.723.623.8
19648.48.523.523.7
19638.58.523.623.6
19628.98.723.323.9
19618.78.823.323.9
19608.88.723.324
19598.38.723.423.9
19588.68.823.824
19578.48.723.524
19567.98.722.323.9
19557.68.722.623.9
19547.58.722.724
19538.28.723.323.9
19528.48.823.124
19518.18.722.824
19507.88.822.623.9
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份智利智利: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
2026–9.89.2–10.2–25.124.3–25.8
2027–9.89.2–10.2–25.124.5–25.7
2028–9.89.3–10.3–25.224.6–25.9
2029–9.89.2–10.3–25.324.8–25.8
2030–9.89.3–10.3–25.224.6–25.7
2031–9.99.4–10.4–25.324.6–26.1
2032–9.89.4–10.5–25.324.9–26
2033–9.89.4–10.4–25.224.6–25.8
2034–9.89.3–10.4–25.224.7–26.1
2035–9.89.4–10.4–25.324.8–26
2036–109.5–10.4–25.324.8–25.9
2037–109.5–10.5–25.525–26.1
2038–10.19.6–10.5–25.625.1–26.1
2039–109.4–10.6–25.424.9–26.3
2040–10.19.6–10.7–25.424.9–26.5
2041–10.19.5–10.7–25.625–26.2
2042–109.5–10.7–25.524.8–26.5
2043–109.5–10.7–25.524.9–26.4
2044–10.19.6–10.8–25.524.9–26.5
2045–10.29.7–10.8–25.625.1–26.4
2046–10.39.7–11–25.925.1–26.6
2047–10.39.7–10.9–25.825.1–26.4
2048–10.39.8–11–25.925.1–26.7
2049–10.39.7–10.9–25.925.2–26.5
2050–10.39.8–10.9–25.725.2–26.6
2051–10.39.8–10.9–25.825.1–26.7
2052–10.49.9–11–25.925.3–26.7
2053–10.39.8–11–25.825.1–26.7
2054–10.49.8–11.2–25.825.2–26.8
2055–10.59.8–11.2–25.925.3–27.1
2056–10.59.8–11.1–25.925.2–26.9
2057–10.59.9–11.2–2625.2–26.8
2058–10.59.9–11.2–2625.2–27.2
2059–10.610–11.3–26.225.3–27.2
2060–10.610–11.3–26.325.4–27
2061–10.59.9–11.4–26.125.2–27.1
2062–10.69.9–11.3–26.225.2–27.3
2063–10.69.9–11.4–26.225.3–27
2064–10.69.9–11.4–26.125.4–27
2065–10.79.9–11.3–26.225.5–27.1
2066–10.69.9–11.4–26.225.5–27.1
2067–10.710–11.5–26.125.3–27.1
2068–10.810–11.5–26.325.4–27.3
2069–10.810–11.5–26.225.3–27.3
2070–10.69.9–11.5–26.225.3–27.3
2071–10.910.2–11.5–26.425.4–27.3
2072–10.910.1–11.6–26.425.6–27.4
2073–10.910.2–11.6–26.525.8–27.4
2074–10.910.2–11.7–26.325.4–27.2
2075–10.810.1–11.6–26.425.4–27.3
2076–10.810.2–11.6–26.525.5–27.4
2077–10.910.1–11.6–26.425.5–27.5
2078–10.910.1–11.6–26.225.6–27.5
2079–10.910.2–11.6–26.425.4–27.5
2080–1110.2–11.8–26.525.5–27.5
2081–10.910.1–11.8–26.525.6–27.5
2082–10.910.2–11.7–26.525.5–27.3
2083–10.910.3–11.8–26.425.5–27.8
2084–10.910.2–11.8–26.625.6–27.8
2085–1110.4–11.9–26.725.6–27.9
2086–11.110.2–11.9–26.525.6–27.7
2087–10.910.2–11.9–26.425.6–27.7
2088–1110.3–12.1–26.625.5–27.8
2089–1110.2–12–26.625.7–27.8
2090–1110.3–11.9–26.625.8–27.8
2091–11.110.4–11.9–26.725.7–27.9
2092–11.110.4–12–26.725.6–27.8
2093–11.110.3–12.1–26.625.6–27.8
2094–11.110.3–11.9–26.625.7–27.7
2095–11.110.4–12–26.825.6–27.8
2096–1110.3–12.1–26.525.7–27.9
2097–1110.2–12–26.725.6–27.9
2098–11.110.3–12.1–26.825.7–28.3
2099–11.110.4–12.1–26.725.7–27.8
2100–11.110.3–12–26.825.8–27.9

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。

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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