比利时与俄罗斯对比

比利时与俄罗斯:温度

2025 年温度:比利时为 11.3 °C,俄罗斯为 -2.3 °C(据 ERA5 观测)。 2025 年比利时的数值较高,高出 13.6 °C。

°C · ERA5

比利时与俄罗斯:温度2025 年温度:比利时为 11.3 °C,俄罗斯为 -2.3 °C(据 ERA5 观测)。 2025 年比利时的数值较高,高出 13.6 °C。
比利时俄罗斯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,比利时的数值都更高。
  • 2025 年,在 233 个国家中,比利时排名第 188,俄罗斯排名第 231(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,俄罗斯为 0.1 °C。

逐年数据

°C · ERA5

年份比利时比利时:CMIP6 历史模拟,模型中位数俄罗斯俄罗斯:CMIP6 历史模拟,模型中位数
202511.310.9-2.3-2.7
202411.410.6-2.2-2.8
202311.510.6-2.5-2.9
202211.511.1-2.5-2.7
202110.110.8-3.4-2.9
202011.510.7-1.2-2.9
201910.910.5-2.5-2.9
201811.210.5-3.1-3
201710.710.3-2.5-3.2
201610.310.6-2.8-3.1
201510.710.4-2.6-3
201411.310.2-3.4-3
20139.510.4-3.2-3
20121010.3-3.4-3.3
201110.910.4-2.8-3.5
2010910.5-4-3.4
200910.210.6-4.1-3.4
200810.110.4-2.8-3.2
200710.810.2-2.4-3.4
200610.710.3-4.1-3.5
200510.410.2-2.9-3.4
20041010-4-3.8
200310.510.2-3.3-3.5
200210.79.9-3.7-3.7
200110.29.9-4-3.7
200010.610-4.2-3.8
199910.59.9-4.3-4
1998109.8-4.8-4
199710.19.7-3.9-4.3
19968.59.8-4.4-4.1
199510.49.6-2.7-4.3
199410.79.7-4.4-4.6
19939.69.5-4.1-4.6
1992109.4-4.4-4.7
19919.39.6-3.7-4.3
199010.49.8-3.5-4.2
198910.59.8-3.5-4.2
1988109.7-3.8-4.3
19878.69.5-5.8-4.7
19868.89.3-4.3-4.5
19858.39.6-5-4.4
19849.19.3-4.8-5.1
19839.89.2-3.4-5.1
19829.89.3-4.6-4.7
19819.29.4-3.6-4.9
19808.89.5-4.9-4.8
19798.59.3-5.3-4.7
19788.89.5-4.8-4.6
19779.59.2-5-4.7
19769.99.2-5.4-5.1
19759.69.4-3.6-4.9
19749.69.6-5.1-4.8
19739.39.3-4.3-5.1
19728.89.2-5.2-5
19719.49.1-4.4-5.1
19709.28.9-5-5.1
19699.28.9-6.2-5.1
196899.2-5.1-4.8
19679.69.3-3.8-5
19669.79.1-5.7-5.1
19658.99.3-5.3-5.3
19649.49.1-5.2-4.9
19638.29.4-4.5-5
19628.39.3-3.9-5
196110.39.3-4.4-4.8
19609.79.2-5.4-4.9
195910.39.3-4.2-4.8
19589.49.2-5.5-4.9
19579.89.1-4.6-5.1
19568.19.6-5.2-4.8
19558.69.3-5-4.7
19548.89.2-4.7-4.8
19539.69.3-4.1-4.9
195299.4-5.6-4.9
19519.49.4-4.4-5
19509.39.4-4.9-4.8
  • 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,模型中位数俄罗斯俄罗斯:CMIP6 历史模拟,模型中位数
2026–11.110.1–12.1–-2.5-4–-0.8
2027–10.810.3–11.9–-2.4-4–-0.7
2028–1110.3–12–-2.5-4–-0.8
2029–10.810.1–11.9–-2.3-3.7–-0.8
2030–10.79.9–11.7–-2.3-3.6–-0.8
2031–10.99.9–12.2–-2.3-3.7–-1
2032–11.210–12–-2.2-3.9–-0.7
2033–10.910.1–11.9–-2.2-3.5–-0.6
2034–11.210.1–12.2–-2.1-3.6–-0.8
2035–11.210–12.1–-2.2-3.7–-0.7
2036–11.310.3–12.5–-2-3.7–-0.3
2037–119.9–12.1–-1.9-3.4–-0.5
2038–1110.3–11.7–-2.1-3.6–-0.3
2039–11.110.1–12–-1.9-3.3–-0.4
2040–119.8–12.2–-1.9-3.3–0.1
2041–10.910.2–12–-1.9-3.6–-0.3
2042–11.210.3–12.2–-1.9-3.6–-0.3
2043–11.19.7–12.4–-1.5-3.3–0.1
2044–11.210.1–12.3–-1.8-3.6–0.2
2045–11.110.4–12.3–-1.8-3.3–0.2
2046–1110.2–12–-1.7-3.2–0.3
2047–11.510.5–12–-1.3-3.2–0.3
2048–11.510.8–12.5–-1.4-3–0.3
2049–11.310.4–12.9–-1.2-2.7–0.9
2050–11.410.8–12.4–-1.3-2.9–0.6
2051–11.310–12.7–-1.4-3.1–0.6
2052–11.410.2–13–-1.4-2.9–0.4
2053–11.610.3–12.5–-1.1-2.7–0.8
2054–11.410.5–12.4–-1.3-3–0.7
2055–11.310.4–12.5–-1.4-3–0.9
2056–11.510.6–13–-1.2-2.8–0.7
2057–11.410.6–13–-1.1-3.4–1.1
2058–11.810.8–12.9–-1.1-2.7–1.2
2059–11.610.3–12.6–-1-2.8–1.3
2060–11.810.8–12.7–-1-2.4–0.9
2061–11.811–12.6–-1.1-2.7–1.1
2062–11.910.9–12.6–-0.9-2.7–1.3
2063–11.910.7–12.8–-0.7-2.7–1.4
2064–11.310.5–12.4–-0.8-2.5–1
2065–11.610.5–13–-0.8-2.8–1.3
2066–11.710.4–12.9–-0.6-2.3–1.2
2067–1210.7–13–-0.7-2.3–1.5
2068–11.810.7–13–-0.9-2.8–1.1
2069–12.110.7–13–-0.6-2.4–1.7
2070–11.710.7–13.5–-0.5-2.3–1.6
2071–11.710.4–13.3–-0.6-2.6–1.7
2072–11.811.1–13.3–-0.6-2.3–1.6
2073–11.911–12.9–-0.7-2.5–1.7
2074–12.110.8–13.1–-0.4-2–1.4
2075–11.310.5–13–-0.6-2.6–1.6
2076–11.710.8–13.7–-0.4-2.4–1.5
2077–11.610.8–13–-0.4-1.7–1.3
2078–11.810.7–13.6–-0.5-2.4–1.7
2079–11.810.6–13.2–-0.4-2.1–2
2080–11.711–13.3–-0.3-2.3–1.5
2081–12.110.8–13.5–-0.4-2.1–1.6
2082–11.910.7–13.5–-0.2-2.1–2.1
2083–11.810.9–13.1–-0.2-2.1–1.8
2084–1210.9–13.1–-0.2-2.1–1.8
2085–12.411.1–13.2–-0.2-2.1–1.9
2086–12.211–13.6–-0-2–2.2
2087–12.211.2–13.8–0.1-1.9–2.2
2088–12.511.1–13.7–-0.1-2.1–2
2089–12.111–13.2–-0.1-2–2.1
2090–12.310.9–13.4–-0.2-2.3–2.1
2091–12.211–13.6–0.2-1.8–2
2092–12.311.1–13.7–0.2-1.9–2.4
2093–12.110.9–13.3–0.3-1.8–2.5
2094–1211–13.7–0.1-1.9–2.8
2095–12.210.9–13.6–0.2-1.6–2.2
2096–12.410.8–13.6–0.2-2–2.3
2097–1210.9–13.7–0.2-1.6–2.6
2098–12.211–13.5–0-1.9–2.3
2099–12.611–13.3–0.1-2.1–2.6
2100–12.211.1–13.6–0.1-1.7–2.3

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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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