比利时与韩国对比

比利时与韩国：温度

2025 年温度：比利时为 11.3 °C，韩国为 13.5 °C（据 ERA5 观测）。 2025 年韩国的数值较高，高出 2.2 °C，是比利时的 1.2 倍。

在地图上查看其变化

°C · ERA5

比利时与韩国：温度2025 年温度：比利时为 11.3 °C，韩国为 13.5 °C（据 ERA5 观测）。 2025 年韩国的数值较高，高出 2.2 °C，是比利时的 1.2 倍。
比利时韩国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，比利时排名第 188，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 年比利时为 12.2 °C，韩国为 15.3 °C。

逐年数据

°C · ERA5

年份比利时比利时：CMIP6 历史模拟，模型中位数韩国韩国：CMIP6 历史模拟，模型中位数
202511.310.913.513.4
202411.410.614.213.5
202311.510.613.613.6
202211.511.112.913.4
202110.110.813.313.1
202011.510.712.913.1
201910.910.513.213.2
201811.210.512.713.2
201710.710.312.813.2
201610.310.613.312.9
201510.710.413.213
201411.310.212.812.7
20139.510.412.613.1
20121010.31213.1
201110.910.41212.9
2010910.512.312.9
200910.210.612.712.8
200810.110.412.712.8
200710.810.21312.6
200610.710.312.712.9
200510.410.21212.8
200410101312.6
200310.510.212.212.7
200210.79.912.412.7
200110.29.912.512.7
200010.61012.212.6
199910.59.912.612.5
1998109.813.212.5
199710.19.712.412.4
19968.59.811.712.4
199510.49.611.912.2
199410.79.713.112.2
19939.69.511.611.9
1992109.412.211.9
19919.39.611.912.2
199010.49.812.812.4
198910.59.812.612.3
1988109.711.812.2
19878.69.511.912
19868.89.311.112.1
19858.39.611.612
19849.19.311.311.7
19839.89.211.911.5
19829.89.312.111.9
19819.29.411.112
19808.89.510.812
19798.59.312.211.9
19788.89.512.512
19779.59.212.111.9
19769.99.211.311.7
19759.69.412.212
19749.69.61112
19739.39.31211.8
19728.89.211.811.8
19719.49.111.511.7
19709.28.911.311.8
19699.28.91111.9
196899.211.611.8
19679.69.311.612
19669.79.111.612
19658.99.311.411.9
19649.49.112.312
19638.29.411.112.2
19628.39.311.712
196110.39.312.512.1
19609.79.212.212.1
195910.39.312.412
19589.49.211.912
19579.89.110.912.2
19568.19.610.512.3
19558.69.311.812.1
19548.89.211.912.2
19539.69.311.612.1
195299.411.612.1
19519.49.411.712.1
19509.39.411.412.3
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份比利时比利时：CMIP6 历史模拟，模型中位数韩国韩国：CMIP6 历史模拟，模型中位数
2026–11.110.1–12.1–13.512.7–14.2
2027–10.810.3–11.9–13.612.9–14.5
2028–1110.3–12–13.712.9–14.4
2029–10.810.1–11.9–13.713.1–14.6
2030–10.79.9–11.7–13.512.9–14.3
2031–10.99.9–12.2–13.712.9–14.6
2032–11.210–12–13.813.1–14.4
2033–10.910.1–11.9–1413.1–14.6
2034–11.210.1–12.2–13.913–14.6
2035–11.210–12.1–13.913–14.7
2036–11.310.3–12.5–13.712.8–14.7
2037–119.9–12.1–1413.1–14.6
2038–1110.3–11.7–14.113.2–14.6
2039–11.110.1–12–1413–14.8
2040–119.8–12.2–1413.1–14.8
2041–10.910.2–12–1413–15.2
2042–11.210.3–12.2–13.912.6–15
2043–11.19.7–12.4–14.213–15.2
2044–11.210.1–12.3–14.113.4–15
2045–11.110.4–12.3–1413.2–15.2
2046–1110.2–12–14.113–15.1
2047–11.510.5–12–14.213.5–15.1
2048–11.510.8–12.5–14.513.4–15.2
2049–11.310.4–12.9–14.413.2–15.4
2050–11.410.8–12.4–14.413.4–15.3
2051–11.310–12.7–14.613.2–15.3
2052–11.410.2–13–14.213.3–14.9
2053–11.610.3–12.5–14.513.8–15.2
2054–11.410.5–12.4–14.413.9–15.3
2055–11.310.4–12.5–14.613.5–15.5
2056–11.510.6–13–14.813.7–15.6
2057–11.410.6–13–14.613.1–15.6
2058–11.810.8–12.9–14.513.7–15.5
2059–11.610.3–12.6–14.713.3–15.4
2060–11.810.8–12.7–14.813.8–15.6
2061–11.811–12.6–14.613.8–15.7
2062–11.910.9–12.6–14.613.7–16
2063–11.910.7–12.8–14.813.7–15.7
2064–11.310.5–12.4–14.613.5–15.3
2065–11.610.5–13–14.813.6–15.7
2066–11.710.4–12.9–14.613.5–15.4
2067–1210.7–13–14.713.7–15.7
2068–11.810.7–13–14.713.6–16.1
2069–12.110.7–13–1513.8–16
2070–11.710.7–13.5–14.813.8–16.1
2071–11.710.4–13.3–14.813.6–16.2
2072–11.811.1–13.3–14.813.6–16
2073–11.911–12.9–15.113.9–15.9
2074–12.110.8–13.1–14.913.7–16.1
2075–11.310.5–13–14.913.8–15.9
2076–11.710.8–13.7–15.114.1–15.8
2077–11.610.8–13–15.114.1–16.2
2078–11.810.7–13.6–15.113.9–16.3
2079–11.810.6–13.2–1513.9–16.3
2080–11.711–13.3–1514–16.3
2081–12.110.8–13.5–1514.2–16.2
2082–11.910.7–13.5–15.114–16.2
2083–11.810.9–13.1–15.214.3–16.3
2084–1210.9–13.1–15.213.6–16.5
2085–12.411.1–13.2–15.314.2–16.4
2086–12.211–13.6–15.114.1–16.4
2087–12.211.2–13.8–15.113.8–16.7
2088–12.511.1–13.7–15.114.2–16.7
2089–12.111–13.2–15.214.2–16.3
2090–12.310.9–13.4–15.614.1–16.3
2091–12.211–13.6–15.414.4–16.4
2092–12.311.1–13.7–15.114.2–16.1
2093–12.110.9–13.3–15.414.4–16.2
2094–1211–13.7–15.313.9–16.3
2095–12.210.9–13.6–15.314.3–16.2
2096–12.410.8–13.6–15.413.8–16.5
2097–1210.9–13.7–15.414.3–16.2
2098–12.211–13.5–15.214.6–16.5
2099–12.611–13.3–15.414.2–16.5
2100–12.211.1–13.6–15.314.3–16.7

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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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