印度与菲律宾对比

印度与菲律宾：热带夜

2014 年热带夜：印度为 215.5 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 116 夜，是印度的 1.54 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与菲律宾：热带夜2014 年热带夜：印度为 215.5 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 116 夜，是印度的 1.54 倍。
印度菲律宾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 年印度为 250.4 夜，菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份印度菲律宾
2014215.5331.5
2013216330.9
2012217.4331.1
2011215.5329.8
2010215.2330.6
2009213.7329
2008213.7327.5
2007213.3327.8
2006212.5328.7
2005212.9329.7
2004214.9329.4
2003212.1327.1
2002213328.9
2001212.2327.8
2000210.8326.8
1999211.9327.5
1998210.3326.5
1997209.5325.4
1996207324.6
1995208.8324.2
1994207.1321.5
1993206319.5
1992203.5318.4
1991208324.1
1990209.9323.5
1989208322.5
1988207.3324
1987207.2323.1
1986207.2322.1
1985205.9321.4
1984206.7321.7
1983203.3319.4
1982205.7320.5
1981208.4320.4
1980205.3322.7
1979205.5321.2
1978204.1320.6
1977205.9319.8
1976204.6319.6
1975202.6319.6
1974205.3320
1973205.6319.4
1972203.8318.9
1971203.6318.8
1970202.6319
1969203.6318.7
1968201.7317.2
1967201.6317.4
1966203.9318.8
1965202.4317.2
1964201.2314.9
1963201.8317.2
1962203.8318.6
1961206.3319.3
1960206318.6
1959206.1320.5
1958204321.8
1957206.5319.4
1956204320
1955203.2319.3
1954206317.7
1953204320
1952204.4319
1951204.3319.8
1950206.3320.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度菲律宾
2015216.9202.1–228.4333319.8–339.5
2016215202.5–227.6334.2322.8–340.7
2017216.2202.1–228.5333.4319.7–339.8
2018218.3204.5–231.4333.2320.1–340.1
2019217.4202.3–230.4334.1323.4–341.2
2020217.6203.1–232334.6322.6–341.8
2021219.7204.5–233.2335.6323.3–341.1
2022220.5205.8–233335.7323.3–342.1
2023220.4206.4–233.7336.7324.8–343.2
2024222.6208.1–236.3337.2325.7–343.9
2025219.7202.7–236.2336.3326.2–342.8
2026220.2204.2–236.8336.5322.9–343
2027223.6207.1–239336.2325.7–342.3
2028222.1205.1–235.7337.1325.5–343.8
2029225.4210–240.3338.1327.2–344.6
2030222.7207.3–235.6337.7326.2–344.4
2031223.8207.1–237.8337.1325.6–343.8
2032225.9210–240.5339.4329.5–346.1
2033223.8209.3–235.4339.7329.6–345.5
2034225.8210–242.7338.8328.8–345
2035224.9210.6–240.9338.6327.5–346.4
2036224.2210.4–240.3339.6327.8–346.9
2037228.3213.6–242.6339.8329.1–345.5
2038228.1212.6–241.4341.9330.7–347.7
2039227.4211.9–242.8341.2330.4–346.9
2040227212.2–242340.4328.1–347.6
2041227.1210.7–240.5341.1329.1–346.7
2042229.1214.8–244.2342331.4–347.7
2043228.9214.5–244341.3329–348.1
2044229.7214.7–244.2342.8329.9–349.8
2045231.2216.6–246.1343.4333.8–348.7
2046232.6216.2–248.6342.7330.2–348.7
2047232.4215.5–250343.2331.7–350.6
2048235.6218.5–254.3343.3332.7–350.6
2049235.3218.3–249.9343.2332.5–349.5
2050233.5216.6–253.4344.3332.6–349.9
2051234.9218.6–249.9344.4334.9–350.8
2052234219.4–249.3344.1333.5–350.9
2053234.9219.5–252.5344.3333.6–350.3
2054237.2219.4–253.1343.4332–349.9
2055237.2220.7–256.6344.3334.4–350.5
2056238.8221.2–254.9345334.6–352.6
2057235.7218.5–253.8345.5335.1–351.5
2058238.8222.8–254.1345.8334.3–351.3
2059241.1224.9–256.2345.5333.7–351.6
2060240.9225.6–255.6346.8335.5–353.5
2061237.9220.6–253.7345.9335–351.8
2062239.9221.2–259.7346335.2–353.5
2063239.9222.3–256.1346.6336.2–352.8
2064240223.8–256.3346.9335.3–353
2065240.9222.9–257.3346.1335.9–351.9
2066241.5224.1–258.6346.5335.4–352.4
2067241.6224.8–257.9346.1335.4–352
2068242.3224.6–262.1347.1335.1–354.1
2069242.8225.4–259.1347333.8–353.6
2070240.1225.3–257.1346.7336.1–352.7
2071241.8223.7–260.2347.6336.2–353.9
2072242.6225.4–259.2347334.4–353.8
2073243.8228–259.3348.4336.7–355
2074241.6226.9–258.4348.6337–354.9
2075243.5226.4–258.2347.9337.2–354
2076243.2224.6–259.9348.4337–355.1
2077243.7226.6–264.6348.7337–354.8
2078246.7230.1–261.5348.4338.2–354.7
2079244.9226.4–261.3348.8337.6–354.7
2080246.7227–263.7349.1338.4–355.9
2081247.5230.4–264.8348.8336.9–355.1
2082244.6227.9–262.3349.6338–354.9
2083247.5227.8–265.1349.9337.9–356.1
2084247.3228.3–266.8349.5336.7–356.4
2085246.5227.5–267.1349.1338.2–355.4
2086245.6227.7–266.5349.4337.5–354.9
2087245.5226.7–266.2349.7338.7–356
2088247229.4–266.9349.9338.9–356.1
2089248.1230–266.3350.2339.8–355.2
2090249228.9–266.4350.1339.7–355.9
2091248.9230–266.5349.5339.5–356.3
2092249.8232.3–267.8350.5339.3–356.1
2093248.1229–266.5350.4337.9–356.5
2094249.1230.6–268.4350.5338.4–355.9
2095251233.2–270350.5338.3–355.7
2096247.8231.4–269.3351.1339–358
2097251.1231.4–268350.2339.3–355.6
2098252.3230.8–268.3350.3337.4–355.2
2099248.7230.1–268.3350.6339.3–356.4
2100250.4232.9–266.7351.3340.2–356.3

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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。

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