德国与韩国对比

德国与韩国：温度

2025 年温度：德国为 10.1 °C，韩国为 13.5 °C（据 ERA5 观测）。 2025 年韩国的数值较高，高出 3.4 °C，是德国的 1.34 倍。

在地图上查看其变化

°C · ERA5

德国与韩国：温度2025 年温度：德国为 10.1 °C，韩国为 13.5 °C（据 ERA5 观测）。 2025 年韩国的数值较高，高出 3.4 °C，是德国的 1.34 倍。
德国韩国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，韩国的数值都更高。
  • 2025 年，在 233 个国家中，德国排名第 200，韩国排名第 171（从高到低）。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年德国为 11.8 °C，韩国为 15.3 °C。

逐年数据

°C · ERA5

年份德国德国：CMIP6 历史模拟，模型中位数韩国韩国：CMIP6 历史模拟，模型中位数
202510.110.113.513.4
2024119.914.213.5
202310.81013.613.6
202210.710.412.913.4
20219.310.113.313.1
202010.61012.913.1
201910.49.813.213.2
201810.79.812.713.2
20179.89.612.813.2
20169.79.713.312.9
201510.19.713.213
201410.59.512.812.7
20138.99.612.613.1
20129.39.61213.1
20119.89.61212.9
201089.612.312.9
20099.49.712.712.8
20089.79.812.712.8
200710.19.51312.6
20069.89.512.712.9
20059.29.61212.8
20049.19.21312.6
20039.59.412.212.7
20029.69.212.412.7
20019.19.212.512.7
20009.99.312.212.6
19999.6912.612.5
19989.19.113.212.5
199798.912.412.4
19967.29.111.712.4
199598.711.912.2
19949.88.913.112.2
19938.58.511.611.9
19929.38.412.211.9
19918.48.811.912.2
19909.58.912.812.4
19899.6912.612.3
19889.18.711.812.2
19877.58.711.912
198688.411.112.1
19857.58.811.612
198488.411.311.7
19839.18.411.911.5
198298.412.111.9
19818.48.411.112
19807.88.510.812
19797.98.512.211.9
197888.612.512
19778.98.312.111.9
19768.78.311.311.7
19759.18.312.212
19749.18.61112
19738.58.41211.8
19728.18.211.811.8
19718.88.311.511.7
197088.111.311.8
196988.21111.9
19688.48.311.611.8
19679.28.311.612
19668.88.211.612
19657.88.311.411.9
19648.48.212.312
19637.48.511.112.2
19627.58.311.712
19619.28.412.512.1
19608.78.412.212.1
19599.28.512.412
19588.48.411.912
19578.78.210.912.2
19566.98.610.512.3
19557.68.511.812.1
19547.88.211.912.2
19539.18.311.612.1
195288.611.612.1
19518.98.411.712.1
19508.88.511.412.3
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份德国德国：CMIP6 历史模拟，模型中位数韩国韩国：CMIP6 历史模拟，模型中位数
2026–10.49.4–11.3–13.512.7–14.2
2027–10.29.5–11.1–13.612.9–14.5
2028–10.39.5–11.4–13.712.9–14.4
2029–10.29.4–11.3–13.713.1–14.6
2030–10.19.2–11.2–13.512.9–14.3
2031–10.18.9–11.6–13.712.9–14.6
2032–10.69.1–11.3–13.813.1–14.4
2033–10.29.5–11.5–1413.1–14.6
2034–10.59.4–11.6–13.913–14.6
2035–10.49.2–11.5–13.913–14.7
2036–10.69.5–11.9–13.712.8–14.7
2037–10.39.3–11.6–1413.1–14.6
2038–10.39.5–11.3–14.113.2–14.6
2039–10.49.3–11.4–1413–14.8
2040–10.49.4–11.8–1413.1–14.8
2041–10.39.5–11.3–1413–15.2
2042–10.79.5–11.4–13.912.6–15
2043–10.69.3–11.7–14.213–15.2
2044–10.49.2–11.9–14.113.4–15
2045–10.59.6–11.6–1413.2–15.2
2046–10.39.4–11.4–14.113–15.1
2047–10.89.8–11.6–14.213.5–15.1
2048–1110.1–12–14.513.4–15.2
2049–10.79.7–12.2–14.413.2–15.4
2050–10.910–11.9–14.413.4–15.3
2051–10.79.3–12.2–14.613.2–15.3
2052–10.99.3–12.4–14.213.3–14.9
2053–10.99.7–11.9–14.513.8–15.2
2054–10.89.7–11.9–14.413.9–15.3
2055–10.89.6–11.9–14.613.5–15.5
2056–10.99.7–12.4–14.813.7–15.6
2057–10.89.9–12.5–14.613.1–15.6
2058–11.310.1–12.5–14.513.7–15.5
2059–10.99.6–12.2–14.713.3–15.4
2060–11.210–12–14.813.8–15.6
2061–11.210.3–11.9–14.613.8–15.7
2062–11.210.3–12.3–14.613.7–16
2063–11.210–12.5–14.813.7–15.7
2064–10.910–11.8–14.613.5–15.3
2065–119.7–12.3–14.813.6–15.7
2066–11.29.7–12.2–14.613.5–15.4
2067–11.410.1–12.4–14.713.7–15.7
2068–11.210.1–12.5–14.713.6–16.1
2069–11.510–12.6–1513.8–16
2070–11.19.9–12.9–14.813.8–16.1
2071–11.39.6–12.8–14.813.6–16.2
2072–11.210.3–12.5–14.813.6–16
2073–11.310.3–12.2–15.113.9–15.9
2074–11.410.2–12.6–14.913.7–16.1
2075–10.89.9–12.6–14.913.8–15.9
2076–11.210.3–13.1–15.114.1–15.8
2077–11.110.1–12.6–15.114.1–16.2
2078–11.210.2–13–15.113.9–16.3
2079–11.210.1–12.8–1513.9–16.3
2080–11.210.3–12.6–1514–16.3
2081–11.510.2–12.9–1514.2–16.2
2082–11.410.3–12.9–15.114–16.2
2083–11.210.1–12.7–15.214.3–16.3
2084–11.510.2–12.7–15.213.6–16.5
2085–11.610.5–12.9–15.314.2–16.4
2086–11.710.4–13.1–15.114.1–16.4
2087–11.610.3–13.2–15.113.8–16.7
2088–11.710.5–13–15.114.2–16.7
2089–11.710.5–12.7–15.214.2–16.3
2090–11.810.1–13–15.614.1–16.3
2091–11.710.2–13.1–15.414.4–16.4
2092–11.810.2–13–15.114.2–16.1
2093–11.510–13–15.414.4–16.2
2094–11.510.2–13.2–15.313.9–16.3
2095–11.510.2–13–15.314.3–16.2
2096–11.810–13.1–15.413.8–16.5
2097–11.510.4–13.2–15.414.3–16.2
2098–11.610.6–13–15.214.6–16.5
2099–1210.4–12.7–15.414.2–16.5
2100–11.810.4–12.8–15.314.3–16.7

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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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