德国与尼日利亚对比

德国与尼日利亚：温度

2025 年温度：德国为 10.1 °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 17.7 °C，是德国的 2.74 倍。

在地图上查看其变化

°C · ERA5

德国与尼日利亚：温度2025 年温度：德国为 10.1 °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 17.7 °C，是德国的 2.74 倍。
德国尼日利亚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，德国排名第 200，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 年德国为 11.8 °C，尼日利亚为 29.6 °C。

逐年数据

°C · ERA5

年份德国德国：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
202510.110.127.827.9
2024119.927.828
202310.81027.627.8
202210.710.42727.9
20219.310.127.527.8
202010.61027.327.7
201910.49.827.327.7
201810.79.827.227.7
20179.89.627.427.7
20169.79.727.427.6
201510.19.727.327.7
201410.59.527.127.7
20138.99.627.327.7
20129.39.62727.7
20119.89.627.227.6
201089.627.727.6
20099.49.727.527.5
20089.79.826.827.5
200710.19.52727.4
20069.89.527.527.5
20059.29.627.527.4
20049.19.227.127.4
20039.59.427.127.5
20029.69.226.927.4
20019.19.226.727.6
20009.99.326.727.4
19999.6926.927.3
19989.19.127.427.3
199798.926.827.3
19967.29.126.827.2
199598.726.727.2
19949.88.926.527.1
19938.58.526.826.9
19929.38.426.226.9
19918.48.826.727.2
19909.58.92727.3
19899.6926.227.1
19889.18.726.827.2
19877.58.727.427.1
198688.426.827.2
19857.58.826.627
198488.426.827.1
19839.18.426.927
198298.426.627.1
19818.48.426.427.1
19807.88.526.727.1
19797.98.526.627.1
197888.626.327
19778.98.326.527.1
19768.78.326.226.9
19759.18.32627
19749.18.626.127
19738.58.427.127.1
19728.18.226.727
19718.88.326.426.9
197088.126.527
196988.226.627
19688.48.326.327
19679.28.326.226.9
19668.88.226.826.9
19657.88.326.626.9
19648.48.226.726.7
19637.48.526.626.7
19627.58.326.327.1
19619.28.426.227
19608.78.426.627.1
19599.28.526.527
19588.48.426.527
19578.78.225.527.1
19566.98.625.826.9
19557.68.525.827
19547.88.22627
19539.18.325.927
195288.625.927
19518.98.425.927.1
19508.88.525.827
  • 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，模型中位数尼日利亚尼日利亚：CMIP6 历史模拟，模型中位数
2026–10.49.4–11.3–2827.1–28.5
2027–10.29.5–11.1–2827.2–28.6
2028–10.39.5–11.4–2827.5–28.6
2029–10.29.4–11.3–28.227.6–28.6
2030–10.19.2–11.2–28.127.4–28.7
2031–10.18.9–11.6–28.127.5–28.8
2032–10.69.1–11.3–28.127.6–28.7
2033–10.29.5–11.5–28.227.5–28.8
2034–10.59.4–11.6–28.127.5–28.7
2035–10.49.2–11.5–28.327.5–28.8
2036–10.69.5–11.9–28.227.5–28.8
2037–10.39.3–11.6–28.427.8–28.9
2038–10.39.5–11.3–28.527.9–29
2039–10.49.3–11.4–28.427.7–28.8
2040–10.49.4–11.8–28.327.8–29
2041–10.39.5–11.3–28.427.9–29.1
2042–10.79.5–11.4–28.527.8–29.1
2043–10.69.3–11.7–28.427.8–28.9
2044–10.49.2–11.9–28.427.8–29.2
2045–10.59.6–11.6–28.527.8–29.1
2046–10.39.4–11.4–28.727.9–29.3
2047–10.89.8–11.6–28.727.9–29.3
2048–1110.1–12–28.728–29.3
2049–10.79.7–12.2–28.728–29.4
2050–10.910–11.9–28.628.1–29.5
2051–10.79.3–12.2–28.728.1–29.5
2052–10.99.3–12.4–28.928–29.5
2053–10.99.7–11.9–28.827.9–29.5
2054–10.89.7–11.9–28.928–29.6
2055–10.89.6–11.9–28.928.3–29.6
2056–10.99.7–12.4–28.928.1–29.7
2057–10.89.9–12.5–2928.2–29.8
2058–11.310.1–12.5–28.928.2–29.7
2059–10.99.6–12.2–2928.4–29.8
2060–11.210–12–2928.4–29.8
2061–11.210.3–11.9–29.128.1–29.9
2062–11.210.3–12.3–29.128.2–30
2063–11.210–12.5–29.128.3–29.9
2064–10.910–11.8–2928.3–29.9
2065–119.7–12.3–29.228.5–29.9
2066–11.29.7–12.2–29.228.4–30.1
2067–11.410.1–12.4–2928.3–30.2
2068–11.210.1–12.5–29.228.4–30.1
2069–11.510–12.6–29.228.3–30.1
2070–11.19.9–12.9–29.228.5–30.2
2071–11.39.6–12.8–29.328.5–30.3
2072–11.210.3–12.5–29.328.5–30.2
2073–11.310.3–12.2–29.428.5–30.4
2074–11.410.2–12.6–29.228.3–30.4
2075–10.89.9–12.6–29.428.4–30.1
2076–11.210.3–13.1–29.428.6–30.3
2077–11.110.1–12.6–29.628.6–30.6
2078–11.210.2–13–29.428.5–30.4
2079–11.210.1–12.8–29.428.7–30.2
2080–11.210.3–12.6–29.528.5–30.4
2081–11.510.2–12.9–29.528.5–30.4
2082–11.410.3–12.9–29.428.6–30.5
2083–11.210.1–12.7–29.528.6–30.6
2084–11.510.2–12.7–29.428.6–30.6
2085–11.610.5–12.9–29.628.7–30.6
2086–11.710.4–13.1–29.628.6–30.6
2087–11.610.3–13.2–29.528.6–30.6
2088–11.710.5–13–29.528.6–30.7
2089–11.710.5–12.7–29.528.7–30.7
2090–11.810.1–13–29.628.7–30.6
2091–11.710.2–13.1–29.728.7–30.7
2092–11.810.2–13–29.828.7–30.7
2093–11.510–13–29.728.8–30.7
2094–11.510.2–13.2–29.728.9–30.7
2095–11.510.2–13–29.928.8–30.9
2096–11.810–13.1–29.528.9–30.8
2097–11.510.4–13.2–29.528.7–30.7
2098–11.610.6–13–29.828.7–30.7
2099–1210.4–12.7–29.728.8–30.8
2100–11.810.4–12.8–29.628.9–30.8

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

德国与尼日利亚对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境