巴基斯坦与泰国对比

巴基斯坦与泰国：热带夜

2014 年热带夜：巴基斯坦为 149.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 136.5 夜，是巴基斯坦的 1.91 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴基斯坦与泰国：热带夜2014 年热带夜：巴基斯坦为 149.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 136.5 夜，是巴基斯坦的 1.91 倍。
巴基斯坦泰国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，泰国的数值都更高。
  • 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，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦泰国
2014149.9286.4
2013149.1289.1
2012149.9286.6
2011149286.4
2010148.4286
2009147.1286.9
2008147.4284.8
2007147.3283.2
2006146.7284.3
2005146.5281.7
2004147.5287.5
2003146279.3
2002148.3280
2001145.4285.5
2000144.7283.4
1999146.9282.5
1998144.8282.7
1997143.2284.8
1996141.2279.8
1995141.8278.7
1994142.1280.8
1993140.4275.6
1992139.9268.8
1991142.5276.7
1990142.6279.2
1989142.5278.4
1988140.3279.6
1987140277.9
1986140277.5
1985140276
1984138.9277.9
1983136.3273.9
1982138.5275.7
1981141.5277.8
1980139.5277.9
1979139.1278
1978139276
1977138.6277.3
1976139.2275.6
1975136.5274.4
1974138.7276
1973137.8280.6
1972137.4273.9
1971136273.2
1970137.7276
1969135.9274.8
1968136.6277
1967135.2270.3
1966136.9274.4
1965138.3275.8
1964135.1271.9
1963135.7274.7
1962137275.4
1961138.6278.5
1960139276.2
1959138.6274.4
1958137.7278.7
1957140277.4
1956137.8277
1955137.5274.6
1954137.8275
1953136.9275.4
1952138.1275.1
1951136.7277.5
1950139.1276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴基斯坦泰国
2015152.4138.7–163.3290.6272.2–305
2016150.6139.4–161.7287.1269.8–306.2
2017151.3138.8–162290273.8–302.8
2018152.6139.8–161.8292.6275.1–308.7
2019151.8138.1–163.3291.2272.8–306.7
2020153.1140.3–164.5292.4272.2–307.8
2021154.1140.6–165.7294.2276.3–308.5
2022153.1140.2–165.7294.8277.2–311.9
2023155.5141.6–165.9296.1281.9–310.2
2024156.8143.3–168.7291.7275.5–307.8
2025155.7141.5–168.6294276.7–306.3
2026155.3142.2–167.9296278–309.3
2027156.8140.9–168.9295.8276.3–311.1
2028156.5143.9–167.6297279.3–315.1
2029155.9141.5–167.7300.3278.7–315
2030156.3143.3–167.6297.7280.2–312.5
2031157.3144.4–168.1300.8282.8–317.1
2032157.4142.5–169.6297.2280.9–311.4
2033157.7143.6–169.4300281.9–315.8
2034159.5145.6–173.4300.8279–318.4
2035159.3146.7–170.3298.6281.5–317.8
2036159.1147.5–171.4300.4279.9–316.9
2037162.2147.5–175.3299.8280–315.1
2038161.4148.6–171.7304.8286.6–319.3
2039160148.2–170.4300.9281.9–317
2040160.9147.9–171.3301.6284.5–315.7
2041160.8146.7–171.7303.1285.1–318.8
2042162.3149.9–175.6303.8290–318.3
2043161.1150.3–173.8302285.8–317.9
2044163150.9–173.9304.3286.3–318.8
2045163149.5–174.8307.1287.7–324.2
2046163.5149.8–177.2305.9285.2–321
2047165.2151.8–178.5306.6289.5–321.5
2048166.4154.1–179.4309.4288.9–325.7
2049165150.8–178.2308.1287.2–324.1
2050166.9153.5–179.3307.5291–321.5
2051165.6150.8–180312.8294.8–326
2052166.7155.4–179.5310.9291.2–323.4
2053166.3154.2–178.8308.3289.5–323.3
2054167.5153.9–181308.8292.8–322.3
2055167.8155.8–182.5308.6290.6–325.1
2056166.3153.6–179.7311.3294.9–326.3
2057168.3153.9–182.3308.5286.7–326.4
2058167.5157–179.9308291.1–325.1
2059170.9155.9–183.8312.7295.8–325.3
2060170.3156.5–181.8313.1294.6–328.6
2061168.8156.8–179.6314.4289.5–331.1
2062171.6153.5–186.5311.4293.4–330.3
2063171.3159.5–183.8314.8296.9–327.3
2064170.2155.3–184.5312.5295.4–330
2065169.7156.4–185309.6293.1–329.3
2066172.2157–186.7312.1292.6–328
2067173.2160.2–186.3311.2289.6–329.4
2068172.6157.7–186.3310.8292.4–330.6
2069171.8157.3–185.6315.5296.1–329.5
2070171.7158.9–186.7314.2292.9–330.7
2071173.4158.7–186.8313.8296.4–330.8
2072174161.5–186.9314.8296–329.6
2073175.6157.2–187.9316.5299.9–332.1
2074173.5160–186.3317.2295–333.8
2075173161.5–187.8317.2295.3–331.4
2076172.9158.8–186.7317.4299.8–335
2077175161.3–187.8317.5297.3–335.9
2078174.4160.9–189.3315.9297.1–331.6
2079172.5158.3–187.7318.5300.5–332.3
2080175.1160.7–189.2319.8297.4–337.5
2081174.9159.2–190.2317.7299.5–334.9
2082175.4161.8–190.6317.9294.8–333
2083176.5161.8–190.8315297.8–332.9
2084176.1160.9–190.5316295.5–330
2085176.3161.9–193.6322.6300.8–334.7
2086173.9160–189.1319.4295.2–335.2
2087176161–193.1320.2302.2–334.7
2088175.4160.5–195.2321.4299.8–334.8
2089177.2164.2–191.7318.9296.4–338.1
2090177.7163.9–192.2317.6304–337.4
2091177.8162.8–192.2320.1299.8–336.1
2092178.7162.9–192.9316.3298–336.4
2093177164–191316.1297.7–333.7
2094176.8164.1–190.7323.4301.8–337.3
2095178.6163.8–193.1322.9302.4–338.9
2096177.8163.7–192.5319.6302.8–336.7
2097177.3160.4–192.5319.8299.1–336
2098178.7162.6–195.7320.5303.9–336
2099176159.9–193.2319.9303.1–334.4
2100177.6162.2–193320.8301.1–336.7

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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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