巴基斯坦与菲律宾对比

巴基斯坦与菲律宾：热带夜

2014 年热带夜：巴基斯坦为 149.9 夜，菲律宾为 331.5 夜（CMIP6 气候模型中位数模拟）。 2014 年菲律宾的数值较高，高出 181.6 夜，是巴基斯坦的 2.21 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴基斯坦与菲律宾：热带夜2014 年热带夜：巴基斯坦为 149.9 夜，菲律宾为 331.5 夜（CMIP6 气候模型中位数模拟）。 2014 年菲律宾的数值较高，高出 181.6 夜，是巴基斯坦的 2.21 倍。
巴基斯坦菲律宾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，菲律宾的数值都更高。
  • 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，菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份巴基斯坦菲律宾
2014149.9331.5
2013149.1330.9
2012149.9331.1
2011149329.8
2010148.4330.6
2009147.1329
2008147.4327.5
2007147.3327.8
2006146.7328.7
2005146.5329.7
2004147.5329.4
2003146327.1
2002148.3328.9
2001145.4327.8
2000144.7326.8
1999146.9327.5
1998144.8326.5
1997143.2325.4
1996141.2324.6
1995141.8324.2
1994142.1321.5
1993140.4319.5
1992139.9318.4
1991142.5324.1
1990142.6323.5
1989142.5322.5
1988140.3324
1987140323.1
1986140322.1
1985140321.4
1984138.9321.7
1983136.3319.4
1982138.5320.5
1981141.5320.4
1980139.5322.7
1979139.1321.2
1978139320.6
1977138.6319.8
1976139.2319.6
1975136.5319.6
1974138.7320
1973137.8319.4
1972137.4318.9
1971136318.8
1970137.7319
1969135.9318.7
1968136.6317.2
1967135.2317.4
1966136.9318.8
1965138.3317.2
1964135.1314.9
1963135.7317.2
1962137318.6
1961138.6319.3
1960139318.6
1959138.6320.5
1958137.7321.8
1957140319.4
1956137.8320
1955137.5319.3
1954137.8317.7
1953136.9320
1952138.1319
1951136.7319.8
1950139.1320.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴基斯坦菲律宾
2015152.4138.7–163.3333319.8–339.5
2016150.6139.4–161.7334.2322.8–340.7
2017151.3138.8–162333.4319.7–339.8
2018152.6139.8–161.8333.2320.1–340.1
2019151.8138.1–163.3334.1323.4–341.2
2020153.1140.3–164.5334.6322.6–341.8
2021154.1140.6–165.7335.6323.3–341.1
2022153.1140.2–165.7335.7323.3–342.1
2023155.5141.6–165.9336.7324.8–343.2
2024156.8143.3–168.7337.2325.7–343.9
2025155.7141.5–168.6336.3326.2–342.8
2026155.3142.2–167.9336.5322.9–343
2027156.8140.9–168.9336.2325.7–342.3
2028156.5143.9–167.6337.1325.5–343.8
2029155.9141.5–167.7338.1327.2–344.6
2030156.3143.3–167.6337.7326.2–344.4
2031157.3144.4–168.1337.1325.6–343.8
2032157.4142.5–169.6339.4329.5–346.1
2033157.7143.6–169.4339.7329.6–345.5
2034159.5145.6–173.4338.8328.8–345
2035159.3146.7–170.3338.6327.5–346.4
2036159.1147.5–171.4339.6327.8–346.9
2037162.2147.5–175.3339.8329.1–345.5
2038161.4148.6–171.7341.9330.7–347.7
2039160148.2–170.4341.2330.4–346.9
2040160.9147.9–171.3340.4328.1–347.6
2041160.8146.7–171.7341.1329.1–346.7
2042162.3149.9–175.6342331.4–347.7
2043161.1150.3–173.8341.3329–348.1
2044163150.9–173.9342.8329.9–349.8
2045163149.5–174.8343.4333.8–348.7
2046163.5149.8–177.2342.7330.2–348.7
2047165.2151.8–178.5343.2331.7–350.6
2048166.4154.1–179.4343.3332.7–350.6
2049165150.8–178.2343.2332.5–349.5
2050166.9153.5–179.3344.3332.6–349.9
2051165.6150.8–180344.4334.9–350.8
2052166.7155.4–179.5344.1333.5–350.9
2053166.3154.2–178.8344.3333.6–350.3
2054167.5153.9–181343.4332–349.9
2055167.8155.8–182.5344.3334.4–350.5
2056166.3153.6–179.7345334.6–352.6
2057168.3153.9–182.3345.5335.1–351.5
2058167.5157–179.9345.8334.3–351.3
2059170.9155.9–183.8345.5333.7–351.6
2060170.3156.5–181.8346.8335.5–353.5
2061168.8156.8–179.6345.9335–351.8
2062171.6153.5–186.5346335.2–353.5
2063171.3159.5–183.8346.6336.2–352.8
2064170.2155.3–184.5346.9335.3–353
2065169.7156.4–185346.1335.9–351.9
2066172.2157–186.7346.5335.4–352.4
2067173.2160.2–186.3346.1335.4–352
2068172.6157.7–186.3347.1335.1–354.1
2069171.8157.3–185.6347333.8–353.6
2070171.7158.9–186.7346.7336.1–352.7
2071173.4158.7–186.8347.6336.2–353.9
2072174161.5–186.9347334.4–353.8
2073175.6157.2–187.9348.4336.7–355
2074173.5160–186.3348.6337–354.9
2075173161.5–187.8347.9337.2–354
2076172.9158.8–186.7348.4337–355.1
2077175161.3–187.8348.7337–354.8
2078174.4160.9–189.3348.4338.2–354.7
2079172.5158.3–187.7348.8337.6–354.7
2080175.1160.7–189.2349.1338.4–355.9
2081174.9159.2–190.2348.8336.9–355.1
2082175.4161.8–190.6349.6338–354.9
2083176.5161.8–190.8349.9337.9–356.1
2084176.1160.9–190.5349.5336.7–356.4
2085176.3161.9–193.6349.1338.2–355.4
2086173.9160–189.1349.4337.5–354.9
2087176161–193.1349.7338.7–356
2088175.4160.5–195.2349.9338.9–356.1
2089177.2164.2–191.7350.2339.8–355.2
2090177.7163.9–192.2350.1339.7–355.9
2091177.8162.8–192.2349.5339.5–356.3
2092178.7162.9–192.9350.5339.3–356.1
2093177164–191350.4337.9–356.5
2094176.8164.1–190.7350.5338.4–355.9
2095178.6163.8–193.1350.5338.3–355.7
2096177.8163.7–192.5351.1339–358
2097177.3160.4–192.5350.2339.3–355.6
2098178.7162.6–195.7350.3337.4–355.2
2099176159.9–193.2350.6339.3–356.4
2100177.6162.2–193351.3340.2–356.3

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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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