巴基斯坦与沙特阿拉伯对比

巴基斯坦与沙特阿拉伯：热带夜

2014 年热带夜：巴基斯坦为 149.9 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年沙特阿拉伯的数值较高，高出 31.6 夜，是巴基斯坦的 1.21 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴基斯坦与沙特阿拉伯：热带夜2014 年热带夜：巴基斯坦为 149.9 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年沙特阿拉伯的数值较高，高出 31.6 夜，是巴基斯坦的 1.21 倍。
巴基斯坦沙特阿拉伯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，沙特阿拉伯的数值都更高。
  • 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，沙特阿拉伯为 218.7 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦沙特阿拉伯
2014149.9181.5
2013149.1180.4
2012149.9182.8
2011149182.7
2010148.4179.2
2009147.1177.1
2008147.4180.3
2007147.3178.9
2006146.7177.5
2005146.5177.9
2004147.5177.6
2003146177.4
2002148.3175.6
2001145.4178.1
2000144.7176.4
1999146.9173.2
1998144.8173.4
1997143.2173.8
1996141.2172
1995141.8169.2
1994142.1170.4
1993140.4164.6
1992139.9165.9
1991142.5169.2
1990142.6172.7
1989142.5168.9
1988140.3166.8
1987140167.3
1986140169.4
1985140166
1984138.9165
1983136.3163.5
1982138.5164.7
1981141.5168.9
1980139.5166.8
1979139.1165.3
1978139164.8
1977138.6165.6
1976139.2165.9
1975136.5161.2
1974138.7162.9
1973137.8163.7
1972137.4163.7
1971136160.4
1970137.7162.5
1969135.9161.3
1968136.6162.7
1967135.2159.5
1966136.9159.5
1965138.3159.5
1964135.1159.9
1963135.7160.2
1962137163.2
1961138.6163.7
1960139165.7
1959138.6164.4
1958137.7164.1
1957140165.5
1956137.8163.6
1955137.5162
1954137.8161.2
1953136.9162.5
1952138.1163.4
1951136.7161.2
1950139.1161.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴基斯坦沙特阿拉伯
2015152.4138.7–163.3184.9169.4–198.7
2016150.6139.4–161.7183167.7–195.7
2017151.3138.8–162182.6168.1–196.7
2018152.6139.8–161.8186.8173.1–199.4
2019151.8138.1–163.3184.1168.8–199.1
2020153.1140.3–164.5185.3171.8–198.9
2021154.1140.6–165.7188.6173.6–202.8
2022153.1140.2–165.7187.6170.7–202
2023155.5141.6–165.9188.6173–203.8
2024156.8143.3–168.7187.1172.9–203.9
2025155.7141.5–168.6191.5176–206.1
2026155.3142.2–167.9191.8177.1–205.5
2027156.8140.9–168.9191.2176.6–206.8
2028156.5143.9–167.6191.9175.5–205.1
2029155.9141.5–167.7192.2176.6–205.7
2030156.3143.3–167.6193.3178.4–206.3
2031157.3144.4–168.1194.7179.1–207.6
2032157.4142.5–169.6192.2175.2–206
2033157.7143.6–169.4192.6177.5–206.9
2034159.5145.6–173.4196.7181.6–213
2035159.3146.7–170.3196.5179.9–211.6
2036159.1147.5–171.4194.1180–209.7
2037162.2147.5–175.3197183.7–209.9
2038161.4148.6–171.7198.4182.3–213.3
2039160148.2–170.4198184.4–213.6
2040160.9147.9–171.3199.2182.1–212.7
2041160.8146.7–171.7197.7181.4–211.7
2042162.3149.9–175.6198.3181.2–217
2043161.1150.3–173.8198.2182.3–215.3
2044163150.9–173.9199.2185.5–213.5
2045163149.5–174.8202187.1–216.8
2046163.5149.8–177.2204.1185.3–219.4
2047165.2151.8–178.5204.1187.4–220
2048166.4154.1–179.4206.1190.7–220
2049165150.8–178.2201.6187.7–216.2
2050166.9153.5–179.3205.7190.2–219.3
2051165.6150.8–180204.3188.8–222.1
2052166.7155.4–179.5203.8189.6–218
2053166.3154.2–178.8203.8186.3–218.8
2054167.5153.9–181207.6188.3–222.3
2055167.8155.8–182.5207.8190.8–221
2056166.3153.6–179.7203.7186.6–220.1
2057168.3153.9–182.3207.5188.8–224.2
2058167.5157–179.9205.9189.2–221.4
2059170.9155.9–183.8207.3191.6–226.9
2060170.3156.5–181.8206.9192.7–222.8
2061168.8156.8–179.6206.5190.4–220.9
2062171.6153.5–186.5208.1189.4–228.3
2063171.3159.5–183.8210.4193–227.1
2064170.2155.3–184.5207.5191.9–223.3
2065169.7156.4–185208.9193.9–226.1
2066172.2157–186.7210.3194.9–228
2067173.2160.2–186.3210.9193.1–228.6
2068172.6157.7–186.3209.8194.6–228.6
2069171.8157.3–185.6208.9194.5–226.3
2070171.7158.9–186.7211.2191.2–229
2071173.4158.7–186.8215.1196.3–233.3
2072174161.5–186.9213.6195.3–229.3
2073175.6157.2–187.9213.7194.1–231.6
2074173.5160–186.3210.5191.9–229.3
2075173161.5–187.8212.1196.6–231.8
2076172.9158.8–186.7212.8194.8–230.3
2077175161.3–187.8215.1196.6–233.9
2078174.4160.9–189.3215.5197.6–230.7
2079172.5158.3–187.7213.6197–229
2080175.1160.7–189.2213.6197.1–233.9
2081174.9159.2–190.2214.7194.4–231.6
2082175.4161.8–190.6214198.9–230.9
2083176.5161.8–190.8214.2198.5–238
2084176.1160.9–190.5217.4197.4–233.1
2085176.3161.9–193.6217.4199.6–237.9
2086173.9160–189.1217197.4–237.4
2087176161–193.1217.3199.7–238.7
2088175.4160.5–195.2216.1198.2–243.1
2089177.2164.2–191.7217.6199.5–239
2090177.7163.9–192.2217.3198.5–239.2
2091177.8162.8–192.2218.5202.8–238.4
2092178.7162.9–192.9218.5198.5–241.6
2093177164–191216.6197.8–236.3
2094176.8164.1–190.7218.8202–236.9
2095178.6163.8–193.1219.4204.2–237.4
2096177.8163.7–192.5219.9197.7–239.6
2097177.3160.4–192.5216.7196.8–239.7
2098178.7162.6–195.7219.7199.6–241.3
2099176159.9–193.2216.8200.8–236.8
2100177.6162.2–193218.7202.3–241

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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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