巴基斯坦与韩国对比

巴基斯坦与韩国:温度

2025 年温度:巴基斯坦为 21.6 °C,韩国为 13.5 °C(据 ERA5 观测)。 2025 年巴基斯坦的数值较高,高出 8.1 °C,是韩国的 1.6 倍。

°C · ERA5

巴基斯坦与韩国:温度2025 年温度:巴基斯坦为 21.6 °C,韩国为 13.5 °C(据 ERA5 观测)。 2025 年巴基斯坦的数值较高,高出 8.1 °C,是韩国的 1.6 倍。
巴基斯坦韩国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,巴基斯坦排名第 135,韩国排名第 171(从高到低)。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴基斯坦为 23.4 °C,韩国为 15.3 °C。

逐年数据

°C · ERA5

年份巴基斯坦巴基斯坦:CMIP6 历史模拟,模型中位数韩国韩国:CMIP6 历史模拟,模型中位数
202521.621.513.513.4
202421.321.514.213.5
20232121.413.613.6
202221.421.312.913.4
202121.321.213.313.1
202020.521.412.913.1
201920.621.113.213.2
201821.421.112.713.2
201721.321.212.813.2
201621.52113.312.9
201520.621.213.213
201420.42112.812.7
201320.720.912.613.1
201220.220.91213.1
201120.820.91212.9
201021.220.812.312.9
200920.920.812.712.8
200820.620.612.712.8
200720.820.71312.6
200621.220.612.712.9
200520.120.71212.8
200421.320.71312.6
200320.620.612.212.7
200221.220.812.412.7
20012120.612.512.7
200020.820.512.212.6
199920.820.712.612.5
199820.720.513.212.5
199719.520.412.412.4
19962020.311.712.4
19952020.311.912.2
19942020.213.112.2
199320.62011.611.9
199219.62012.211.9
199119.920.411.912.2
199020.620.312.812.4
198919.820.312.612.3
198821.120.111.812.2
198720.620.311.912
198619.820.211.112.1
198520.420.211.612
19842020.111.311.7
198319.619.911.911.5
198219.520.112.111.9
198120.420.211.112
198020.620.110.812
197919.920.112.211.9
197820.120.112.512
197720.62012.111.9
197619.72011.311.7
197519.52012.212
197419.920.11112
197320.1201211.8
197219.52011.811.8
197120.419.911.511.7
197020.519.911.311.8
196920.419.91111.9
196819.719.811.611.8
196719.62011.612
196620.119.911.612
196520.219.911.411.9
196419.519.812.312
196320.519.811.112.2
196219.620.111.712
196119.520.112.512.1
19602020.112.212.1
19592020.212.412
195820.52011.912
195719.220.310.912.2
195619.72010.512.3
19552020.111.812.1
195420.12011.912.2
195319.619.911.612.1
1952202011.612.1
195120.120.111.712.1
195019.220.211.412.3
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份巴基斯坦巴基斯坦:CMIP6 历史模拟,模型中位数韩国韩国:CMIP6 历史模拟,模型中位数
2026–21.420.6–22.2–13.512.7–14.2
2027–21.420.6–22.2–13.612.9–14.5
2028–21.420.7–22.3–13.712.9–14.4
2029–21.520.6–22.4–13.713.1–14.6
2030–21.520.7–22.2–13.512.9–14.3
2031–21.520.8–22.2–13.712.9–14.6
2032–21.620.8–22.5–13.813.1–14.4
2033–21.520.9–22.6–1413.1–14.6
2034–21.721–22.6–13.913–14.6
2035–21.721–22.5–13.913–14.7
2036–21.721.1–22.3–13.712.8–14.7
2037–21.921.1–22.7–1413.1–14.6
2038–2221–22.6–14.113.2–14.6
2039–21.821.2–22.5–1413–14.8
2040–21.921.2–22.7–1413.1–14.8
2041–21.821.1–22.7–1413–15.2
2042–2221.2–23.1–13.912.6–15
2043–21.821.1–22.9–14.213–15.2
2044–2221.2–22.8–14.113.4–15
2045–22.121.3–22.8–1413.2–15.2
2046–22.321.3–23.2–14.113–15.1
2047–22.221.1–23.2–14.213.5–15.1
2048–22.321.5–23.1–14.513.4–15.2
2049–22.121.4–23.3–14.413.2–15.4
2050–22.521.6–23.5–14.413.4–15.3
2051–22.421.5–23.5–14.613.2–15.3
2052–22.421.6–23.2–14.213.3–14.9
2053–22.321.6–23.4–14.513.8–15.2
2054–22.421.5–23.5–14.413.9–15.3
2055–22.521.8–23.5–14.613.5–15.5
2056–22.321.6–23.5–14.813.7–15.6
2057–22.621.6–23.7–14.613.1–15.6
2058–22.421.7–23.5–14.513.7–15.5
2059–22.721.7–23.8–14.713.3–15.4
2060–22.621.8–23.7–14.813.8–15.6
2061–22.621.9–23.6–14.613.8–15.7
2062–22.721.7–24–14.613.7–16
2063–22.722–23.8–14.813.7–15.7
2064–22.721.7–24.1–14.613.5–15.3
2065–22.721.9–23.9–14.813.6–15.7
2066–22.822–24.2–14.613.5–15.4
2067–22.822.2–24–14.713.7–15.7
2068–22.921.9–24.1–14.713.6–16.1
2069–2321.9–23.9–1513.8–16
2070–22.922.1–24–14.813.8–16.1
2071–22.822–24.1–14.813.6–16.2
2072–22.922–24.2–14.813.6–16
2073–23.221.9–24.1–15.113.9–15.9
2074–23.122.2–24.1–14.913.7–16.1
2075–2322.2–24.2–14.913.8–15.9
2076–22.922–24.1–15.114.1–15.8
2077–23.122–24.3–15.114.1–16.2
2078–2322.1–24.4–15.113.9–16.3
2079–2322–24.1–1513.9–16.3
2080–2322–24.3–1514–16.3
2081–23.122.2–24.3–1514.2–16.2
2082–23.122.2–24.4–15.114–16.2
2083–23.322.5–24.4–15.214.3–16.3
2084–23.322.3–24.4–15.213.6–16.5
2085–23.322.3–24.8–15.314.2–16.4
2086–23.222.1–24.5–15.114.1–16.4
2087–23.322.2–24.6–15.113.8–16.7
2088–23.222.2–24.7–15.114.2–16.7
2089–23.422.5–24.5–15.214.2–16.3
2090–23.422.5–24.4–15.614.1–16.3
2091–23.522.4–24.5–15.414.4–16.4
2092–23.322.4–24.5–15.114.2–16.1
2093–23.522.6–24.4–15.414.4–16.2
2094–23.522.5–24.5–15.313.9–16.3
2095–23.522.3–24.6–15.314.3–16.2
2096–23.322.3–24.5–15.413.8–16.5
2097–23.322.3–24.4–15.414.3–16.2
2098–23.522.3–24.6–15.214.6–16.5
2099–23.522.1–24.9–15.414.2–16.5
2100–23.422.4–24.7–15.314.3–16.7

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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