巴基斯坦与叙利亚对比

巴基斯坦与叙利亚:热带夜

2014 年热带夜:巴基斯坦为 149.9 夜,叙利亚为 89.6 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 60.3 夜,是叙利亚的 1.67 倍。

每年夜数 · CMIP6

巴基斯坦与叙利亚:热带夜2014 年热带夜:巴基斯坦为 149.9 夜,叙利亚为 89.6 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 60.3 夜,是叙利亚的 1.67 倍。
巴基斯坦叙利亚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,叙利亚为 133.8 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦叙利亚
2014149.989.6
2013149.190.8
2012149.991.2
201114989.6
2010148.488.1
2009147.186.2
2008147.487.9
2007147.385
2006146.787.3
2005146.585.3
2004147.586.7
200314686.7
2002148.384.3
2001145.485.9
2000144.783.2
1999146.982.1
1998144.880.5
1997143.280.5
1996141.278.1
1995141.875.8
1994142.176.7
1993140.471.5
1992139.971.3
1991142.575.5
1990142.679.3
1989142.575.7
1988140.376.2
198714073
198614076
198514072.6
1984138.969.6
1983136.367.9
1982138.572
1981141.572
1980139.575
1979139.167.7
197813970.2
1977138.670.1
1976139.273.4
1975136.569
1974138.770
1973137.870.7
1972137.470.1
197113670.7
1970137.770.9
1969135.971.3
1968136.668.7
1967135.268.8
1966136.968.8
1965138.364.3
1964135.166.4
1963135.769.1
196213771.5
1961138.670.8
196013971.7
1959138.672.7
1958137.772.8
195714072.6
1956137.872.2
1955137.570.3
1954137.868.9
1953136.972.2
1952138.170.8
1951136.772.4
1950139.168.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴基斯坦叙利亚
2015152.4138.7–163.396.981.9–110.9
2016150.6139.4–161.793.581.2–108.2
2017151.3138.8–1629782.1–109.5
2018152.6139.8–161.897.785.9–111
2019151.8138.1–163.398.983.7–111.2
2020153.1140.3–164.598.683.7–112.6
2021154.1140.6–165.710087.1–110.7
2022153.1140.2–165.7101.684.9–113.2
2023155.5141.6–165.9101.988.3–115.3
2024156.8143.3–168.7102.790.7–113.8
2025155.7141.5–168.6102.988.6–114.2
2026155.3142.2–167.9103.389.5–116.1
2027156.8140.9–168.9103.886.7–116.5
2028156.5143.9–167.6103.589.2–116.4
2029155.9141.5–167.7105.694–116.3
2030156.3143.3–167.6105.991.3–119.2
2031157.3144.4–168.1105.190.7–116
2032157.4142.5–169.6107.893.2–119.4
2033157.7143.6–169.4108.796.6–119.1
2034159.5145.6–173.4107.593.9–119
2035159.3146.7–170.3108.596.3–118.3
2036159.1147.5–171.4105.793.2–118.7
2037162.2147.5–175.3109.294.8–121.9
2038161.4148.6–171.7111.897.8–125.5
2039160148.2–170.4112.398.9–128
2040160.9147.9–171.3111.898.5–127.5
2041160.8146.7–171.7110.799.1–124.5
2042162.3149.9–175.6112.996.4–126.5
2043161.1150.3–173.8113.199.7–127.3
2044163150.9–173.9112.599.8–128.8
2045163149.5–174.8118.4105.5–131.3
2046163.5149.8–177.2117.2104.7–129
2047165.2151.8–178.5114.9100.6–129.1
2048166.4154.1–179.4114.3101.2–130.8
2049165150.8–178.211499.3–128.9
2050166.9153.5–179.3116.8104.6–132.7
2051165.6150.8–180117.7105.5–129
2052166.7155.4–179.5116.2103.9–128.2
2053166.3154.2–178.8119.1105.2–131.3
2054167.5153.9–181119.7102.7–135.5
2055167.8155.8–182.5120.8104.3–134.2
2056166.3153.6–179.7119.799.9–132.9
2057168.3153.9–182.3120.6102.3–137.1
2058167.5157–179.9120.1103.1–136.5
2059170.9155.9–183.8123.5107.4–137.2
2060170.3156.5–181.8119.6106.4–140.3
2061168.8156.8–179.6122.8103.9–136.1
2062171.6153.5–186.5121.8104.3–136.5
2063171.3159.5–183.8122.1106.2–136.7
2064170.2155.3–184.5124.3108.4–136.6
2065169.7156.4–185123.7108.9–138.7
2066172.2157–186.7122.1104.4–136.2
2067173.2160.2–186.3126111.1–142.7
2068172.6157.7–186.3126.8112.1–140.3
2069171.8157.3–185.6123107.9–137.3
2070171.7158.9–186.7126.5110.3–139.4
2071173.4158.7–186.8126109.5–142.8
2072174161.5–186.9128111.8–141.9
2073175.6157.2–187.9127.6108–143.7
2074173.5160–186.3124.2107–139.7
2075173161.5–187.8124.7109.2–140.6
2076172.9158.8–186.7126.6109.8–140.8
2077175161.3–187.8127.5109–143.3
2078174.4160.9–189.3127.2113.3–141.8
2079172.5158.3–187.7132.9116–146.9
2080175.1160.7–189.2129111.8–144.3
2081174.9159.2–190.2127.6112.5–145.6
2082175.4161.8–190.6129.1111.3–143.8
2083176.5161.8–190.8133.2110.3–144.1
2084176.1160.9–190.5132.2111–145.1
2085176.3161.9–193.6130.9112.7–143.3
2086173.9160–189.1130.9112.6–146.5
2087176161–193.1129.6109.8–148.7
2088175.4160.5–195.2132.5116.9–146.5
2089177.2164.2–191.7130.4115.3–148.4
2090177.7163.9–192.2128.9115–145.8
2091177.8162.8–192.2133.4116–150.3
2092178.7162.9–192.9131.6115.3–149
2093177164–191135119.8–151
2094176.8164.1–190.7134118–148.5
2095178.6163.8–193.1134.3117.3–148.9
2096177.8163.7–192.5131.5113.7–148.7
2097177.3160.4–192.5136.2112.7–154.1
2098178.7162.6–195.7131.5115.2–152.2
2099176159.9–193.2132.8116–145.1
2100177.6162.2–193133.8113.2–152.2

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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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