比利时与伊朗对比

比利时与伊朗：温度

2025 年温度：比利时为 11.3 °C，伊朗为 19.8 °C（据 ERA5 观测）。 2025 年伊朗的数值较高，高出 8.5 °C，是比利时的 1.75 倍。

在地图上查看其变化

°C · ERA5

比利时与伊朗：温度2025 年温度：比利时为 11.3 °C，伊朗为 19.8 °C（据 ERA5 观测）。 2025 年伊朗的数值较高，高出 8.5 °C，是比利时的 1.75 倍。
比利时伊朗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，伊朗的数值都更高。
  • 2025 年，在 233 个国家中，比利时排名第 188，伊朗排名第 151（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，伊朗为 20.7 °C。

逐年数据

°C · ERA5

年份比利时比利时：CMIP6 历史模拟，模型中位数伊朗伊朗：CMIP6 历史模拟，模型中位数
202511.310.919.819
202411.410.619.518.9
202311.510.619.818.9
202211.511.119.618.7
202110.110.819.818.7
202011.510.718.418.6
201910.910.518.818.6
201811.210.519.518.4
201710.710.319.118.5
201610.310.619.218.5
201510.710.419.118.6
201411.310.218.518.3
20139.510.418.818.3
20121010.318.218.2
201110.910.418.418.1
2010910.519.618
200910.210.618.518
200810.110.418.418
200710.810.218.218
200610.710.318.718
200510.410.218.317.9
2004101018.617.9
200310.510.218.417.9
200210.79.918.618.1
200110.29.919.118
200010.61018.417.8
199910.59.918.517.9
1998109.818.517.8
199710.19.717.717.8
19968.59.817.517.6
199510.49.617.917.6
199410.79.717.917.4
19939.69.517.217.1
1992109.416.217.1
19919.39.617.517.5
199010.49.817.817.6
198910.59.817.117.4
1988109.717.617.3
19878.69.517.517.4
19868.89.316.417.4
19858.39.617.117.3
19849.19.316.517.3
19839.89.216.717
19829.89.315.917.2
19819.29.417.317.3
19808.89.517.717.3
19798.59.317.417.3
19788.89.517.617.2
19779.59.217.817.1
19769.99.216.817
19759.69.416.917
19749.69.616.517.1
19739.39.317.417
19728.89.215.817.1
19719.49.117.516.9
19709.28.91816.9
19699.28.917.117
196899.216.917
19679.69.316.717.1
19669.79.117.917
19658.99.317.217
19649.49.116.116.9
19638.29.417.517
19628.39.31717.2
196110.39.316.817.2
19609.79.217.117.3
195910.39.316.817.2
19589.49.217.817
19579.89.115.617.4
19568.19.616.616.9
19558.69.317.417.1
19548.89.216.817.1
19539.69.316.717.1
195299.416.917.2
19519.49.417.117.3
19509.39.416.417.3
  • 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，模型中位数伊朗伊朗：CMIP6 历史模拟，模型中位数
2026–11.110.1–12.1–18.818.2–19.8
2027–10.810.3–11.9–18.918.2–19.9
2028–1110.3–12–18.818.1–19.9
2029–10.810.1–11.9–18.818.1–19.7
2030–10.79.9–11.7–19.118–20.1
2031–10.99.9–12.2–19.118.4–19.9
2032–11.210–12–19.118–19.9
2033–10.910.1–11.9–1918.4–20.3
2034–11.210.1–12.2–19.318.3–20.2
2035–11.210–12.1–19.318.5–20.2
2036–11.310.3–12.5–19.118.4–19.8
2037–119.9–12.1–19.418.3–20.3
2038–1110.3–11.7–19.418.6–20.2
2039–11.110.1–12–19.418.7–20.2
2040–119.8–12.2–19.418.6–20.4
2041–10.910.2–12–19.418.6–20.2
2042–11.210.3–12.2–19.418.5–20.4
2043–11.19.7–12.4–19.318.6–20.4
2044–11.210.1–12.3–19.518.6–20.5
2045–11.110.4–12.3–19.718.7–20.7
2046–1110.2–12–19.818.8–20.5
2047–11.510.5–12–19.818.8–20.5
2048–11.510.8–12.5–19.618.8–20.8
2049–11.310.4–12.9–19.718.8–20.8
2050–11.410.8–12.4–19.919–20.9
2051–11.310–12.7–19.919.1–21
2052–11.410.2–13–2019.1–20.9
2053–11.610.3–12.5–19.919–20.9
2054–11.410.5–12.4–2019–21.2
2055–11.310.4–12.5–20.119.2–21.2
2056–11.510.6–13–19.919.1–20.9
2057–11.410.6–13–2019.1–21.4
2058–11.810.8–12.9–2019.1–20.9
2059–11.610.3–12.6–2018.8–21.1
2060–11.810.8–12.7–19.919–21.3
2061–11.811–12.6–20.119.3–21.1
2062–11.910.9–12.6–20.219.1–21.5
2063–11.910.7–12.8–20.119.3–21.2
2064–11.310.5–12.4–2019.1–21.5
2065–11.610.5–13–20.219.3–21.3
2066–11.710.4–12.9–20.319.7–21.6
2067–1210.7–13–20.419.5–21.5
2068–11.810.7–13–20.319.4–21.5
2069–12.110.7–13–20.419.4–21.6
2070–11.710.7–13.5–20.419.6–21.3
2071–11.710.4–13.3–20.419.5–21.6
2072–11.811.1–13.3–20.419.2–21.8
2073–11.911–12.9–20.619.5–21.8
2074–12.110.8–13.1–20.519.4–21.9
2075–11.310.5–13–20.619.6–21.8
2076–11.710.8–13.7–20.319.3–21.8
2077–11.610.8–13–20.819.4–21.9
2078–11.810.7–13.6–20.419.5–21.8
2079–11.810.6–13.2–20.519.5–21.7
2080–11.711–13.3–20.519.5–22
2081–12.110.8–13.5–20.519.5–22.1
2082–11.910.7–13.5–20.719.9–21.7
2083–11.810.9–13.1–20.719.9–22
2084–1210.9–13.1–20.819.8–22.1
2085–12.411.1–13.2–20.619.8–22.3
2086–12.211–13.6–20.819.6–22.2
2087–12.211.2–13.8–20.819.6–22.4
2088–12.511.1–13.7–20.719.5–22.2
2089–12.111–13.2–20.919.8–22.1
2090–12.310.9–13.4–20.819.7–22.1
2091–12.211–13.6–20.819.9–22.1
2092–12.311.1–13.7–20.920–22.1
2093–12.110.9–13.3–20.920–21.8
2094–1211–13.7–20.920–22.3
2095–12.210.9–13.6–20.919.7–22.2
2096–12.410.8–13.6–2119.7–22.1
2097–1210.9–13.7–20.819.7–22.4
2098–12.211–13.5–2119.9–22.4
2099–12.611–13.3–20.919.5–22.1
2100–12.211.1–13.6–20.719.8–22.3

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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