比利时与尼日利亚对比

比利时与尼日利亚:温度

2025 年温度:比利时为 11.3 °C,尼日利亚为 27.8 °C(据 ERA5 观测)。 2025 年尼日利亚的数值较高,高出 16.5 °C,是比利时的 2.46 倍。

°C · ERA5

比利时与尼日利亚:温度2025 年温度:比利时为 11.3 °C,尼日利亚为 27.8 °C(据 ERA5 观测)。 2025 年尼日利亚的数值较高,高出 16.5 °C,是比利时的 2.46 倍。
比利时尼日利亚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,尼日利亚的数值都更高。
  • 2025 年,在 233 个国家中,比利时排名第 188,尼日利亚排名第 16(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,尼日利亚为 29.6 °C。

逐年数据

°C · ERA5

年份比利时比利时:CMIP6 历史模拟,模型中位数尼日利亚尼日利亚:CMIP6 历史模拟,模型中位数
202511.310.927.827.9
202411.410.627.828
202311.510.627.627.8
202211.511.12727.9
202110.110.827.527.8
202011.510.727.327.7
201910.910.527.327.7
201811.210.527.227.7
201710.710.327.427.7
201610.310.627.427.6
201510.710.427.327.7
201411.310.227.127.7
20139.510.427.327.7
20121010.32727.7
201110.910.427.227.6
2010910.527.727.6
200910.210.627.527.5
200810.110.426.827.5
200710.810.22727.4
200610.710.327.527.5
200510.410.227.527.4
2004101027.127.4
200310.510.227.127.5
200210.79.926.927.4
200110.29.926.727.6
200010.61026.727.4
199910.59.926.927.3
1998109.827.427.3
199710.19.726.827.3
19968.59.826.827.2
199510.49.626.727.2
199410.79.726.527.1
19939.69.526.826.9
1992109.426.226.9
19919.39.626.727.2
199010.49.82727.3
198910.59.826.227.1
1988109.726.827.2
19878.69.527.427.1
19868.89.326.827.2
19858.39.626.627
19849.19.326.827.1
19839.89.226.927
19829.89.326.627.1
19819.29.426.427.1
19808.89.526.727.1
19798.59.326.627.1
19788.89.526.327
19779.59.226.527.1
19769.99.226.226.9
19759.69.42627
19749.69.626.127
19739.39.327.127.1
19728.89.226.727
19719.49.126.426.9
19709.28.926.527
19699.28.926.627
196899.226.327
19679.69.326.226.9
19669.79.126.826.9
19658.99.326.626.9
19649.49.126.726.7
19638.29.426.626.7
19628.39.326.327.1
196110.39.326.227
19609.79.226.627.1
195910.39.326.527
19589.49.226.527
19579.89.125.527.1
19568.19.625.826.9
19558.69.325.827
19548.89.22627
19539.69.325.927
195299.425.927
19519.49.425.927.1
19509.39.425.827
  • 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,模型中位数尼日利亚尼日利亚:CMIP6 历史模拟,模型中位数
2026–11.110.1–12.1–2827.1–28.5
2027–10.810.3–11.9–2827.2–28.6
2028–1110.3–12–2827.5–28.6
2029–10.810.1–11.9–28.227.6–28.6
2030–10.79.9–11.7–28.127.4–28.7
2031–10.99.9–12.2–28.127.5–28.8
2032–11.210–12–28.127.6–28.7
2033–10.910.1–11.9–28.227.5–28.8
2034–11.210.1–12.2–28.127.5–28.7
2035–11.210–12.1–28.327.5–28.8
2036–11.310.3–12.5–28.227.5–28.8
2037–119.9–12.1–28.427.8–28.9
2038–1110.3–11.7–28.527.9–29
2039–11.110.1–12–28.427.7–28.8
2040–119.8–12.2–28.327.8–29
2041–10.910.2–12–28.427.9–29.1
2042–11.210.3–12.2–28.527.8–29.1
2043–11.19.7–12.4–28.427.8–28.9
2044–11.210.1–12.3–28.427.8–29.2
2045–11.110.4–12.3–28.527.8–29.1
2046–1110.2–12–28.727.9–29.3
2047–11.510.5–12–28.727.9–29.3
2048–11.510.8–12.5–28.728–29.3
2049–11.310.4–12.9–28.728–29.4
2050–11.410.8–12.4–28.628.1–29.5
2051–11.310–12.7–28.728.1–29.5
2052–11.410.2–13–28.928–29.5
2053–11.610.3–12.5–28.827.9–29.5
2054–11.410.5–12.4–28.928–29.6
2055–11.310.4–12.5–28.928.3–29.6
2056–11.510.6–13–28.928.1–29.7
2057–11.410.6–13–2928.2–29.8
2058–11.810.8–12.9–28.928.2–29.7
2059–11.610.3–12.6–2928.4–29.8
2060–11.810.8–12.7–2928.4–29.8
2061–11.811–12.6–29.128.1–29.9
2062–11.910.9–12.6–29.128.2–30
2063–11.910.7–12.8–29.128.3–29.9
2064–11.310.5–12.4–2928.3–29.9
2065–11.610.5–13–29.228.5–29.9
2066–11.710.4–12.9–29.228.4–30.1
2067–1210.7–13–2928.3–30.2
2068–11.810.7–13–29.228.4–30.1
2069–12.110.7–13–29.228.3–30.1
2070–11.710.7–13.5–29.228.5–30.2
2071–11.710.4–13.3–29.328.5–30.3
2072–11.811.1–13.3–29.328.5–30.2
2073–11.911–12.9–29.428.5–30.4
2074–12.110.8–13.1–29.228.3–30.4
2075–11.310.5–13–29.428.4–30.1
2076–11.710.8–13.7–29.428.6–30.3
2077–11.610.8–13–29.628.6–30.6
2078–11.810.7–13.6–29.428.5–30.4
2079–11.810.6–13.2–29.428.7–30.2
2080–11.711–13.3–29.528.5–30.4
2081–12.110.8–13.5–29.528.5–30.4
2082–11.910.7–13.5–29.428.6–30.5
2083–11.810.9–13.1–29.528.6–30.6
2084–1210.9–13.1–29.428.6–30.6
2085–12.411.1–13.2–29.628.7–30.6
2086–12.211–13.6–29.628.6–30.6
2087–12.211.2–13.8–29.528.6–30.6
2088–12.511.1–13.7–29.528.6–30.7
2089–12.111–13.2–29.528.7–30.7
2090–12.310.9–13.4–29.628.7–30.6
2091–12.211–13.6–29.728.7–30.7
2092–12.311.1–13.7–29.828.7–30.7
2093–12.110.9–13.3–29.728.8–30.7
2094–1211–13.7–29.728.9–30.7
2095–12.210.9–13.6–29.928.8–30.9
2096–12.410.8–13.6–29.528.9–30.8
2097–1210.9–13.7–29.528.7–30.7
2098–12.211–13.5–29.828.7–30.7
2099–12.611–13.3–29.728.8–30.8
2100–12.211.1–13.6–29.628.9–30.8

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。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

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