巴基斯坦与越南对比

巴基斯坦与越南：热带夜

2014 年热带夜：巴基斯坦为 149.9 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年越南的数值较高，高出 92.7 夜，是巴基斯坦的 1.62 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴基斯坦与越南：热带夜2014 年热带夜：巴基斯坦为 149.9 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年越南的数值较高，高出 92.7 夜，是巴基斯坦的 1.62 倍。
巴基斯坦越南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，越南的数值都更高。
  • 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，越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦越南
2014149.9242.6
2013149.1243.6
2012149.9242.4
2011149241.9
2010148.4240.9
2009147.1240
2008147.4238.7
2007147.3238
2006146.7239.1
2005146.5238.3
2004147.5241.8
2003146235.9
2002148.3236.3
2001145.4241.3
2000144.7237
1999146.9236
1998144.8236.8
1997143.2237.1
1996141.2231.4
1995141.8229.9
1994142.1231.2
1993140.4225.3
1992139.9221.9
1991142.5229.8
1990142.6233.1
1989142.5229.2
1988140.3231.7
1987140230.3
1986140230.9
1985140228
1984138.9230.2
1983136.3224.9
1982138.5227.5
1981141.5229.7
1980139.5228.1
1979139.1228.9
1978139227.5
1977138.6229
1976139.2225.8
1975136.5225.8
1974138.7225.7
1973137.8230.3
1972137.4225.6
1971136225.5
1970137.7226.1
1969135.9227
1968136.6227.1
1967135.2222.9
1966136.9226.8
1965138.3225.4
1964135.1222.6
1963135.7224.3
1962137227.8
1961138.6229.4
1960139228.5
1959138.6226.2
1958137.7230.9
1957140228.4
1956137.8228.7
1955137.5227.5
1954137.8226.3
1953136.9228.2
1952138.1228.5
1951136.7229.2
1950139.1228.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴基斯坦越南
2015152.4138.7–163.3245.8228.2–261.9
2016150.6139.4–161.7243.7226.1–259.4
2017151.3138.8–162247229.6–260.7
2018152.6139.8–161.8248.3228.8–263.3
2019151.8138.1–163.3248.1229.2–262.8
2020153.1140.3–164.5248.8229.6–262.9
2021154.1140.6–165.7251.1233.1–266.7
2022153.1140.2–165.7252.4234.3–266.8
2023155.5141.6–165.9253.4235.4–266.6
2024156.8143.3–168.7251.3236.7–264.6
2025155.7141.5–168.6252.4234.1–266.2
2026155.3142.2–167.9252.8232.9–268.5
2027156.8140.9–168.9253.2237–268.8
2028156.5143.9–167.6254.3237.7–272
2029155.9141.5–167.7258.1238.5–273.7
2030156.3143.3–167.6256.4240.9–270.1
2031157.3144.4–168.1255.9241.2–270.9
2032157.4142.5–169.6257.4239.1–269.9
2033157.7143.6–169.4258.3241.7–273.2
2034159.5145.6–173.4258.8240.7–275.8
2035159.3146.7–170.3258.6242.5–275.4
2036159.1147.5–171.4258.3239.1–273.8
2037162.2147.5–175.3258.7242.4–272.4
2038161.4148.6–171.7263.4247.6–277.3
2039160148.2–170.4260.2243.7–275.9
2040160.9147.9–171.3260.1242.8–274.8
2041160.8146.7–171.7263.1245.9–279
2042162.3149.9–175.6263.6246.5–279
2043161.1150.3–173.8261.4245.5–279.6
2044163150.9–173.9263.2245.2–277.6
2045163149.5–174.8265.5249.6–281.4
2046163.5149.8–177.2264.9246.8–278.1
2047165.2151.8–178.5266.9250.4–282.9
2048166.4154.1–179.4268250.5–283.8
2049165150.8–178.2267.8251.2–284.8
2050166.9153.5–179.3268251.2–283.5
2051165.6150.8–180270.9254.3–285.4
2052166.7155.4–179.5268.3253.3–282.8
2053166.3154.2–178.8268.5250.1–283.2
2054167.5153.9–181269.1250.8–283.6
2055167.8155.8–182.5270249.8–284.2
2056166.3153.6–179.7271.7254.8–290.1
2057168.3153.9–182.3270253–285.7
2058167.5157–179.9270.7252.9–286.5
2059170.9155.9–183.8273257.6–286.6
2060170.3156.5–181.8275.7255.6–290.6
2061168.8156.8–179.6273.5254.6–289.5
2062171.6153.5–186.5271.4253.1–290.2
2063171.3159.5–183.8272.9252.7–288.1
2064170.2155.3–184.5273.8254.4–288.1
2065169.7156.4–185272255.8–286.3
2066172.2157–186.7271.8254.4–287.3
2067173.2160.2–186.3270.8252.1–287.6
2068172.6157.7–186.3275.6256.9–292.4
2069171.8157.3–185.6276.4258.5–292
2070171.7158.9–186.7274.6257.8–292.8
2071173.4158.7–186.8276.2255.2–294.1
2072174161.5–186.9277256.8–291.4
2073175.6157.2–187.9278.5262.7–293.4
2074173.5160–186.3277.6259.2–295.8
2075173161.5–187.8276.4258.7–294.4
2076172.9158.8–186.7279.2258.5–296.6
2077175161.3–187.8280264.9–294.7
2078174.4160.9–189.3278.4258.6–295.5
2079172.5158.3–187.7279.3263.4–293.6
2080175.1160.7–189.2280261.4–296.5
2081174.9159.2–190.2280.4261.2–297.9
2082175.4161.8–190.6280.9258.9–296
2083176.5161.8–190.8278.4261.6–295
2084176.1160.9–190.5279257.4–293.8
2085176.3161.9–193.6281.3265–297.8
2086173.9160–189.1282.3260.2–297.5
2087176161–193.1281.9261.3–300.7
2088175.4160.5–195.2283.1265.7–301.5
2089177.2164.2–191.7280.8261.2–301.6
2090177.7163.9–192.2280.5264.5–297.6
2091177.8162.8–192.2283.3264.3–298.9
2092178.7162.9–192.9281.1261.5–299.4
2093177164–191280.5263.4–296.1
2094176.8164.1–190.7283264.5–300
2095178.6163.8–193.1285.5264.5–302.9
2096177.8163.7–192.5281.8264.8–299.8
2097177.3160.4–192.5281.5263.3–299
2098178.7162.6–195.7282.5263.9–301.5
2099176159.9–193.2282.7265.1–298
2100177.6162.2–193282.7261–298.2

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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。

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