智利与海地对比

智利与海地:温度

2025 年温度:智利为 9.4 °C,海地为 26 °C(据 ERA5 观测)。 2025 年海地的数值较高,高出 16.6 °C,是智利的 2.77 倍。

°C · ERA5

智利与海地:温度2025 年温度:智利为 9.4 °C,海地为 26 °C(据 ERA5 观测)。 2025 年海地的数值较高,高出 16.6 °C,是智利的 2.77 倍。
智利海地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,海地的数值都更高。
  • 2025 年,在 233 个国家中,智利排名第 204,海地排名第 74(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,海地为 27.5 °C。

逐年数据

°C · ERA5

年份智利智利:CMIP6 历史模拟,模型中位数海地海地:CMIP6 历史模拟,模型中位数
20259.49.72625.9
20249.39.726.126
20239.59.62625.9
20228.79.625.425.9
20219.49.625.525.9
20209.49.625.825.8
20199.49.525.725.8
20189.19.525.425.8
20179.29.425.425.8
20169.79.425.525.7
20159.49.425.925.7
201499.325.625.5
20139.29.325.425.5
20129.19.325.125.5
20118.89.32525.5
20108.69.225.325.5
20098.99.225.125.5
200899.224.925.4
20078.59.225.325.4
20069.29.225.225.4
20058.89.125.125.4
20049.39.124.825.4
20039.29.225.225.4
20028.59.125.225.4
20018.79.12525.4
20008.4924.725.3
19998.9924.525.3
19989.5925.425.3
19979925.425.3
19968.78.924.425.2
19958.88.824.925.1
19949.18.824.825.1
19938.88.724.825
19928.38.824.924.9
19918.58.925.125.2
19908.7925.225.3
19898.7924.825.2
19888.68.92525.1
19878.98.925.225.1
19868.58.924.725.1
19858.88.924.725.1
19848.28.824.624.9
19838.98.825.124.9
19828.98.924.525
19818.88.924.425.1
19808.78.824.925.1
197998.824.425
197898.824.625
19778.98.824.825
197688.724.325
19758.18.724.324.9
19748.28.824.225
19738.48.724.525
19728.48.724.525
197188.724.125
19708.48.724.724.9
19698.68.72524.9
19688.78.724.425
19678.28.724.524.9
19668.38.724.525
19658.48.724.424.9
19648.48.524.524.9
19638.58.524.424.9
19628.98.724.525
19618.78.824.425
19608.88.724.525
19598.38.72525
19588.68.825.125
19578.48.724.725
19567.98.724.225
19557.68.72425
19547.58.724.225
19538.28.724.625
19528.48.824.625
19518.18.724.425
19507.88.82425
  • 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,模型中位数海地海地:CMIP6 历史模拟,模型中位数
2026–9.89.2–10.2–2625.5–26.5
2027–9.89.2–10.2–2625.5–26.6
2028–9.89.3–10.3–26.125.7–26.7
2029–9.89.2–10.3–26.125.7–26.7
2030–9.89.3–10.3–26.125.8–26.5
2031–9.99.4–10.4–26.125.9–26.6
2032–9.89.4–10.5–26.325.8–26.7
2033–9.89.4–10.4–26.225.8–26.6
2034–9.89.3–10.4–26.225.7–26.8
2035–9.89.4–10.4–26.325.9–26.7
2036–109.5–10.4–26.326–26.6
2037–109.5–10.5–26.426–26.9
2038–10.19.6–10.5–26.426–26.8
2039–109.4–10.6–26.325.9–26.8
2040–10.19.6–10.7–26.326–26.9
2041–10.19.5–10.7–26.426–26.9
2042–109.5–10.7–26.426–27
2043–109.5–10.7–26.426–27.1
2044–10.19.6–10.8–26.425.9–27.1
2045–10.29.7–10.8–26.526.1–27
2046–10.39.7–11–26.626–27.1
2047–10.39.7–10.9–26.526.1–27.3
2048–10.39.8–11–26.626.1–27.2
2049–10.39.7–10.9–26.726.2–27.2
2050–10.39.8–10.9–26.726.1–27.3
2051–10.39.8–10.9–26.726.3–27.2
2052–10.49.9–11–26.726.2–27.3
2053–10.39.8–11–26.726.2–27.3
2054–10.49.8–11.2–26.826.3–27.3
2055–10.59.8–11.2–26.826.3–27.3
2056–10.59.8–11.1–26.726.3–27.3
2057–10.59.9–11.2–26.826.1–27.4
2058–10.59.9–11.2–26.826.2–27.5
2059–10.610–11.3–26.926.4–27.6
2060–10.610–11.3–2726.3–27.5
2061–10.59.9–11.4–2726.3–27.6
2062–10.69.9–11.3–26.926.1–27.6
2063–10.69.9–11.4–2726.3–27.7
2064–10.69.9–11.4–26.926.4–27.5
2065–10.79.9–11.3–26.926.4–27.6
2066–10.69.9–11.4–2726.5–27.6
2067–10.710–11.5–2726.4–27.6
2068–10.810–11.5–27.226.5–27.6
2069–10.810–11.5–27.126.5–27.6
2070–10.69.9–11.5–27.126.4–27.8
2071–10.910.2–11.5–27.126.4–27.7
2072–10.910.1–11.6–27.326.4–27.7
2073–10.910.2–11.6–27.326.5–27.7
2074–10.910.2–11.7–27.126.5–27.8
2075–10.810.1–11.6–27.226.5–27.7
2076–10.810.2–11.6–27.326.4–27.8
2077–10.910.1–11.6–27.226.5–27.8
2078–10.910.1–11.6–27.226.6–27.9
2079–10.910.2–11.6–27.426.5–27.8
2080–1110.2–11.8–27.226.5–27.9
2081–10.910.1–11.8–27.226.5–27.9
2082–10.910.2–11.7–27.326.5–27.9
2083–10.910.3–11.8–27.426.6–27.8
2084–10.910.2–11.8–27.426.7–28
2085–1110.4–11.9–27.426.7–28.1
2086–11.110.2–11.9–27.326.6–28
2087–10.910.2–11.9–27.426.6–28
2088–1110.3–12.1–27.526.6–28.2
2089–1110.2–12–27.326.7–28.2
2090–1110.3–11.9–27.426.7–28.2
2091–11.110.4–11.9–27.626.6–28.1
2092–11.110.4–12–27.526.7–28.1
2093–11.110.3–12.1–27.426.7–28.2
2094–11.110.3–11.9–27.426.8–28.1
2095–11.110.4–12–27.626.7–28.2
2096–1110.3–12.1–27.426.7–28.1
2097–1110.2–12–27.426.7–28.2
2098–11.110.3–12.1–27.526.6–28.2
2099–11.110.4–12.1–27.526.6–28.3
2100–11.110.3–12–27.526.7–28.1

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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