奥地利与巴基斯坦对比

奥地利与巴基斯坦:温度

2025 年温度:奥地利为 7.9 °C,巴基斯坦为 21.6 °C(据 ERA5 观测)。 2025 年巴基斯坦的数值较高,高出 13.8 °C,是奥地利的 2.75 倍。

°C · ERA5

奥地利与巴基斯坦:温度2025 年温度:奥地利为 7.9 °C,巴基斯坦为 21.6 °C(据 ERA5 观测)。 2025 年巴基斯坦的数值较高,高出 13.8 °C,是奥地利的 2.75 倍。
奥地利巴基斯坦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,巴基斯坦的数值都更高。
  • 2025 年,在 233 个国家中,奥地利排名第 216,巴基斯坦排名第 135(从高到低)。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年奥地利为 9.5 °C,巴基斯坦为 23.4 °C。

逐年数据

°C · ERA5

年份奥地利奥地利:CMIP6 历史模拟,模型中位数巴基斯坦巴基斯坦:CMIP6 历史模拟,模型中位数
20257.97.721.621.5
20248.87.321.321.5
20238.47.72121.4
20228.27.921.421.3
20216.97.721.321.2
20207.77.620.521.4
20198.17.320.621.1
20188.27.321.421.1
20177.37.121.321.2
20167.57.221.521
201587.220.621.2
20148.1720.421
20137720.720.9
20127.1720.220.9
20117.47.120.820.9
20106.17.121.220.8
200977.120.920.8
20087.37.120.620.6
20077.56.920.820.7
20066.86.921.220.6
20056.1720.120.7
20046.46.721.320.7
20036.96.820.620.6
20027.46.521.220.8
20016.46.52120.6
20007.26.820.820.5
19996.46.420.820.7
19986.46.520.720.5
19976.46.319.520.4
19965.26.52020.3
19956.26.12020.3
19947.66.32020.2
19936.1620.620
19926.65.619.620
19915.26.219.920.4
19906.26.420.620.3
19896.36.419.820.3
19886.25.921.120.1
19875.4620.620.3
19865.55.919.820.2
19855.15.920.420.2
19845.25.82020.1
19836.45.719.619.9
19826.15.819.520.1
19815.75.820.420.2
19804.85.920.620.1
19795.45.719.920.1
197855.920.120.1
197765.620.620
19765.65.519.720
197565.619.520
197465.919.920.1
19735.45.920.120
19725.45.619.520
19715.85.720.419.9
19705.35.520.519.9
19695.45.720.419.9
19685.55.719.719.8
196765.719.620
19666.15.420.119.9
19654.95.420.219.9
19645.55.719.519.8
19635.15.720.519.8
19624.75.719.620.1
19616.45.819.520.1
19605.85.92020.1
19596.162020.2
19585.85.920.520
19575.95.519.220.3
19564.35.919.720
195555.92020.1
195455.620.120
19536.25.819.619.9
19525.45.92020
19516.45.720.120.1
19506.35.819.220.2
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份奥地利奥地利:CMIP6 历史模拟,模型中位数巴基斯坦巴基斯坦:CMIP6 历史模拟,模型中位数
2026–7.96.9–8.9–21.420.6–22.2
2027–7.77.2–8.7–21.420.6–22.2
2028–7.87.2–9–21.420.7–22.3
2029–7.96.7–8.8–21.520.6–22.4
2030–7.76.7–9.1–21.520.7–22.2
2031–7.66.4–9.1–21.520.8–22.2
2032–8.16.8–8.9–21.620.8–22.5
2033–7.87–8.8–21.520.9–22.6
2034–7.96.9–9–21.721–22.6
2035–87.1–9.2–21.721–22.5
2036–8.27–9.5–21.721.1–22.3
2037–87–8.9–21.921.1–22.7
2038–87.1–9.2–2221–22.6
2039–8.17.1–9–21.821.2–22.5
2040–8.27–9.2–21.921.2–22.7
2041–7.87.3–8.9–21.821.1–22.7
2042–8.26.9–9.1–2221.2–23.1
2043–8.37–9.2–21.821.1–22.9
2044–8.16.7–9.3–2221.2–22.8
2045–8.27.3–9.2–22.121.3–22.8
2046–8.16.9–9.2–22.321.3–23.2
2047–8.47–9.3–22.221.1–23.2
2048–8.67.5–9.5–22.321.5–23.1
2049–8.37.4–9.8–22.121.4–23.3
2050–8.47.5–9.4–22.521.6–23.5
2051–8.26.8–9.7–22.421.5–23.5
2052–8.57.1–9.9–22.421.6–23.2
2053–8.67.6–9.6–22.321.6–23.4
2054–8.37.4–9.6–22.421.5–23.5
2055–8.37.4–9.6–22.521.8–23.5
2056–8.37.4–9.7–22.321.6–23.5
2057–8.57.5–10.1–22.621.6–23.7
2058–8.97.7–10.2–22.421.7–23.5
2059–8.77.1–9.9–22.721.7–23.8
2060–8.87.6–9.7–22.621.8–23.7
2061–8.77.8–9.6–22.621.9–23.6
2062–8.87.9–10.1–22.721.7–24
2063–8.97.8–10.1–22.722–23.8
2064–8.67.8–9.6–22.721.7–24.1
2065–8.97.4–10.1–22.721.9–23.9
2066–8.87.3–9.9–22.822–24.2
2067–97.8–10–22.822.2–24
2068–8.98.1–10.2–22.921.9–24.1
2069–97.8–10.1–2321.9–23.9
2070–8.77.6–10.7–22.922.1–24
2071–96.9–10.4–22.822–24.1
2072–98.2–10.3–22.922–24.2
2073–97.7–10.1–23.221.9–24.1
2074–9.37.9–10.3–23.122.2–24.1
2075–8.67.6–10.5–2322.2–24.2
2076–8.97.9–10.6–22.922–24.1
2077–8.97.7–10.1–23.122–24.3
2078–8.97.8–10.8–2322.1–24.4
2079–98–10.7–2322–24.1
2080–9.18.2–10.5–2322–24.3
2081–98.1–10.5–23.122.2–24.3
2082–9.18.3–10.5–23.122.2–24.4
2083–97.9–10.4–23.322.5–24.4
2084–9.38–10.7–23.322.3–24.4
2085–9.38.2–10.4–23.322.3–24.8
2086–9.48.1–10.8–23.222.1–24.5
2087–9.48–10.7–23.322.2–24.6
2088–9.48.5–11–23.222.2–24.7
2089–9.48.2–10.4–23.422.5–24.5
2090–9.68.1–10.7–23.422.5–24.4
2091–9.38.2–10.7–23.522.4–24.5
2092–9.58–10.6–23.322.4–24.5
2093–9.17.8–10.9–23.522.6–24.4
2094–9.37.8–11.1–23.522.5–24.5
2095–9.27.6–10.7–23.522.3–24.6
2096–9.47.9–11–23.322.3–24.5
2097–9.48.3–10.8–23.322.3–24.4
2098–9.38.3–10.7–23.522.3–24.6
2099–9.88.2–10.5–23.522.1–24.9
2100–9.58–10.5–23.422.4–24.7

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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