巴基斯坦与韩国对比

巴基斯坦与韩国:热带夜

2014 年热带夜:巴基斯坦为 149.9 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 81 夜,是韩国的 2.17 倍。

每年夜数 · CMIP6

巴基斯坦与韩国:热带夜2014 年热带夜:巴基斯坦为 149.9 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 81 夜,是韩国的 2.17 倍。
巴基斯坦韩国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。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴基斯坦为 177.6 夜,韩国为 96.3 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦韩国
2014149.968.9
2013149.169.7
2012149.967.7
201114965.3
2010148.468.3
2009147.165.8
2008147.463.7
2007147.364.2
2006146.764.8
2005146.565.1
2004147.566.8
200314663.2
2002148.363.3
2001145.463.4
2000144.761.7
1999146.964.2
1998144.860.7
1997143.260.4
1996141.261.2
1995141.855.2
1994142.154.8
1993140.449.2
1992139.950.7
1991142.556.9
1990142.658.8
1989142.558.7
1988140.355.6
198714052.6
198614051.4
198514053.1
1984138.950.4
1983136.346.8
1982138.554
1981141.553.9
1980139.551.6
1979139.152.6
197813956.4
1977138.651.8
1976139.252.8
1975136.554.6
1974138.752.7
1973137.850.4
1972137.451.8
197113649.7
1970137.750.4
1969135.955.2
1968136.651.7
1967135.257.3
1966136.952.9
1965138.352.8
1964135.152.2
1963135.757.9
196213753.3
1961138.658.2
196013955.2
1959138.654.8
1958137.756
195714055.8
1956137.859.1
1955137.555.7
1954137.854
1953136.955.4
1952138.157
1951136.754.7
1950139.159.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴基斯坦韩国
2015152.4138.7–163.368.656.8–82
2016150.6139.4–161.770.353.5–81.8
2017151.3138.8–16270.559.5–82.9
2018152.6139.8–161.869.156.9–81.2
2019151.8138.1–163.374.663.1–84.4
2020153.1140.3–164.57157.6–83
2021154.1140.6–165.770.252.7–84.1
2022153.1140.2–165.772.563–81.2
2023155.5141.6–165.974.563.2–84.2
2024156.8143.3–168.773.558.6–87.1
2025155.7141.5–168.675.762.3–87.1
2026155.3142.2–167.97564–88.4
2027156.8140.9–168.974.163.4–88.9
2028156.5143.9–167.677.361.5–87.9
2029155.9141.5–167.775.463.1–86.7
2030156.3143.3–167.675.364.5–87.6
2031157.3144.4–168.176.763.6–87.3
2032157.4142.5–169.676.761–89.2
2033157.7143.6–169.478.860–92.7
2034159.5145.6–173.477.264.7–87.2
2035159.3146.7–170.38168.9–92.1
2036159.1147.5–171.481.964.1–95
2037162.2147.5–175.378.465.8–89.3
2038161.4148.6–171.778.866.9–89.4
2039160148.2–170.477.564.7–89.2
2040160.9147.9–171.380.567.4–92.7
2041160.8146.7–171.780.966.4–97.7
2042162.3149.9–175.682.469.1–95
2043161.1150.3–173.883.268.5–97.9
2044163150.9–173.983.169.3–91.6
2045163149.5–174.88170.4–92.2
2046163.5149.8–177.28668.3–95.2
2047165.2151.8–178.583.469.7–96.7
2048166.4154.1–179.482.769.2–95.2
2049165150.8–178.281.669–96.8
2050166.9153.5–179.381.569.8–93.8
2051165.6150.8–18084.572.7–98.8
2052166.7155.4–179.583.167.8–98.5
2053166.3154.2–178.886.969.8–98.1
2054167.5153.9–18184.773.3–97.5
2055167.8155.8–182.586.570.8–101.3
2056166.3153.6–179.785.874.5–99.8
2057168.3153.9–182.387.976.1–100.7
2058167.5157–179.986.275.2–99.4
2059170.9155.9–183.886.766.9–100.4
2060170.3156.5–181.886.371.9–101.9
2061168.8156.8–179.68974.8–99.5
2062171.6153.5–186.587.772.3–102.2
2063171.3159.5–183.886.774.6–101.2
2064170.2155.3–184.586.673.6–100.3
2065169.7156.4–18591.575.3–102.2
2066172.2157–186.789.272.6–100.5
2067173.2160.2–186.390.372.7–102.6
2068172.6157.7–186.390.473.8–106.4
2069171.8157.3–185.69174.5–102.5
2070171.7158.9–186.789.774.6–107
2071173.4158.7–186.892.674.9–107.9
2072174161.5–186.990.976.6–103.9
2073175.6157.2–187.991.376.2–104
2074173.5160–186.391.974.6–107
2075173161.5–187.894.576.4–103.7
2076172.9158.8–186.793.477.5–105.6
2077175161.3–187.895.776.3–107.2
2078174.4160.9–189.393.576.9–110.5
2079172.5158.3–187.791.179.2–105.7
2080175.1160.7–189.292.481.7–107.1
2081174.9159.2–190.293.878–108.8
2082175.4161.8–190.696.279.9–110.1
2083176.5161.8–190.894.481.1–108
2084176.1160.9–190.591.574.4–107.3
2085176.3161.9–193.69481.4–107.4
2086173.9160–189.193.678.5–111.5
2087176161–193.194.480.9–113.5
2088175.4160.5–195.293.779.8–108.5
2089177.2164.2–191.794.478.9–107
2090177.7163.9–192.297.979.5–109
2091177.8162.8–192.295.280.6–107.7
2092178.7162.9–192.99580–106.3
2093177164–19195.379.5–109.9
2094176.8164.1–190.792.279.8–111
2095178.6163.8–193.194.884–112.2
2096177.8163.7–192.5100.481–113.2
2097177.3160.4–192.597.278.6–108.8
2098178.7162.6–195.797.479.9–110.4
2099176159.9–193.295.879.9–109.3
2100177.6162.2–19396.381.6–113.8

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须知

  • 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 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。

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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