巴基斯坦与突尼斯对比

巴基斯坦与突尼斯:热带夜

2014 年热带夜:巴基斯坦为 149.9 夜,突尼斯为 110.5 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 39.4 夜,是突尼斯的 1.36 倍。

每年夜数 · CMIP6

巴基斯坦与突尼斯:热带夜2014 年热带夜:巴基斯坦为 149.9 夜,突尼斯为 110.5 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 39.4 夜,是突尼斯的 1.36 倍。
巴基斯坦突尼斯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,突尼斯为 143.8 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦突尼斯
2014149.9110.5
2013149.1110.7
2012149.9110
2011149108.9
2010148.4109.6
2009147.1106.1
2008147.4108.6
2007147.3106.6
2006146.7107.6
2005146.5105.6
2004147.5105
2003146105.5
2002148.3103.8
2001145.4101.8
2000144.7104.5
1999146.9100.1
1998144.8100.1
1997143.2100.1
1996141.299.1
1995141.895.9
1994142.195
1993140.491.3
1992139.989.9
1991142.598.2
1990142.698.6
1989142.594.7
1988140.394.2
198714092.7
198614093.7
198514090.6
1984138.991.8
1983136.390
1982138.593.9
1981141.593.3
1980139.592.5
1979139.193.8
197813990.2
1977138.688.3
1976139.290.5
1975136.588.6
1974138.788.3
1973137.890.5
1972137.491
197113688.8
1970137.787.3
1969135.990.1
1968136.688.9
1967135.287.6
1966136.987.5
1965138.384.5
1964135.185.7
1963135.788
196213792.7
1961138.688.3
196013990.7
1959138.692.2
1958137.791.8
195714092.3
1956137.890
1955137.592.7
1954137.889.9
1953136.989.4
1952138.191.8
1951136.791.6
1950139.189.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴基斯坦突尼斯
2015152.4138.7–163.3110.796.9–126.1
2016150.6139.4–161.7111.596.6–130.1
2017151.3138.8–162116.5102.4–131.8
2018152.6139.8–161.8115.999.4–131.9
2019151.8138.1–163.3116.598.5–129.5
2020153.1140.3–164.5113.899.9–130.1
2021154.1140.6–165.7117.4104.1–129.3
2022153.1140.2–165.7119.7103–137.3
2023155.5141.6–165.9118.7102.2–131.9
2024156.8143.3–168.7121107.5–132.6
2025155.7141.5–168.6120.2100–134
2026155.3142.2–167.9122.1110.1–134.5
2027156.8140.9–168.9119103.6–134.1
2028156.5143.9–167.6121.1104.5–135.4
2029155.9141.5–167.7121.5110.2–135.8
2030156.3143.3–167.6121.6104–133.4
2031157.3144.4–168.1121.8105.7–134.9
2032157.4142.5–169.6125.2111.6–138.9
2033157.7143.6–169.4124.7107.6–137.5
2034159.5145.6–173.4124.6107–141.7
2035159.3146.7–170.3126.3115.5–142.6
2036159.1147.5–171.4126112.5–141.9
2037162.2147.5–175.3126.5110–140
2038161.4148.6–171.7126.2111.1–139.1
2039160148.2–170.4127112.5–142.3
2040160.9147.9–171.3127.5112.8–144.3
2041160.8146.7–171.7125.5109.1–140.4
2042162.3149.9–175.6129.9114.8–145.8
2043161.1150.3–173.8129.1111.6–142
2044163150.9–173.9127.1112.8–141.8
2045163149.5–174.8128.5113.8–140.8
2046163.5149.8–177.2128.3109.9–144
2047165.2151.8–178.5131.2113.6–147.5
2048166.4154.1–179.4129.9114.9–142.3
2049165150.8–178.2130115.4–143.5
2050166.9153.5–179.3132.3117.6–147.6
2051165.6150.8–180130.1112.6–148.6
2052166.7155.4–179.5132.7116.8–146.7
2053166.3154.2–178.8132.5119.5–149.8
2054167.5153.9–181135.2118.4–148.8
2055167.8155.8–182.5135.1119.2–151.6
2056166.3153.6–179.7134.8119.6–149.5
2057168.3153.9–182.3131.9118.5–148.6
2058167.5157–179.9137.8122.5–156.5
2059170.9155.9–183.8134.9117.1–152.5
2060170.3156.5–181.8136.2120.5–150.1
2061168.8156.8–179.6139119.4–154
2062171.6153.5–186.5134.9119.1–155.9
2063171.3159.5–183.8138.6119.2–152.5
2064170.2155.3–184.5134.9121.1–152.7
2065169.7156.4–185137.1123.3–150.5
2066172.2157–186.7136.6119.2–155.1
2067173.2160.2–186.3138.9124.4–154.3
2068172.6157.7–186.3141.7124.8–159.2
2069171.8157.3–185.6140.3123.5–154.1
2070171.7158.9–186.7137123.6–155.3
2071173.4158.7–186.8140.5123.1–156.1
2072174161.5–186.9142.6128–154.3
2073175.6157.2–187.9139.3124.7–154.6
2074173.5160–186.3140.1123–156.5
2075173161.5–187.8139.6124.5–157.1
2076172.9158.8–186.7143.4125.2–158.8
2077175161.3–187.8141.3119.1–158.3
2078174.4160.9–189.3143127.2–155.9
2079172.5158.3–187.7144.7123.9–158.5
2080175.1160.7–189.2143.6123.6–158.7
2081174.9159.2–190.2139.9126.3–158.8
2082175.4161.8–190.6145.5125.9–158.1
2083176.5161.8–190.8143.4124.3–158.7
2084176.1160.9–190.5144.8129.6–159.7
2085176.3161.9–193.6145.3124.7–159.5
2086173.9160–189.1144.7129.5–162.7
2087176161–193.1144125.7–159.2
2088175.4160.5–195.2147.3127.2–165.4
2089177.2164.2–191.7142.7125.3–164.8
2090177.7163.9–192.2145.2126.3–165.1
2091177.8162.8–192.2144.9127.4–164.4
2092178.7162.9–192.9148.2126.3–161.1
2093177164–191146.9127.2–165.6
2094176.8164.1–190.7145.7126.8–160.4
2095178.6163.8–193.1145.5125.4–161.5
2096177.8163.7–192.5146.3130–169.4
2097177.3160.4–192.5144.6125.7–160.6
2098178.7162.6–195.7147129.6–161.9
2099176159.9–193.2145.8130.3–163.7
2100177.6162.2–193143.8124.8–163.8

分别查看各国

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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