菲律宾与泰国对比

菲律宾与泰国：热带夜

2014 年热带夜：菲律宾为 331.5 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年菲律宾的数值较高，高出 45.1 夜，是泰国的 1.16 倍。

在地图上查看其变化

每年夜数 · CMIP6

菲律宾与泰国：热带夜2014 年热带夜：菲律宾为 331.5 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年菲律宾的数值较高，高出 45.1 夜，是泰国的 1.16 倍。
菲律宾泰国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，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 年菲律宾为 351.3 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份菲律宾泰国
2014331.5286.4
2013330.9289.1
2012331.1286.6
2011329.8286.4
2010330.6286
2009329286.9
2008327.5284.8
2007327.8283.2
2006328.7284.3
2005329.7281.7
2004329.4287.5
2003327.1279.3
2002328.9280
2001327.8285.5
2000326.8283.4
1999327.5282.5
1998326.5282.7
1997325.4284.8
1996324.6279.8
1995324.2278.7
1994321.5280.8
1993319.5275.6
1992318.4268.8
1991324.1276.7
1990323.5279.2
1989322.5278.4
1988324279.6
1987323.1277.9
1986322.1277.5
1985321.4276
1984321.7277.9
1983319.4273.9
1982320.5275.7
1981320.4277.8
1980322.7277.9
1979321.2278
1978320.6276
1977319.8277.3
1976319.6275.6
1975319.6274.4
1974320276
1973319.4280.6
1972318.9273.9
1971318.8273.2
1970319276
1969318.7274.8
1968317.2277
1967317.4270.3
1966318.8274.4
1965317.2275.8
1964314.9271.9
1963317.2274.7
1962318.6275.4
1961319.3278.5
1960318.6276.2
1959320.5274.4
1958321.8278.7
1957319.4277.4
1956320277
1955319.3274.6
1954317.7275
1953320275.4
1952319275.1
1951319.8277.5
1950320.4276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份菲律宾泰国
2015333319.8–339.5290.6272.2–305
2016334.2322.8–340.7287.1269.8–306.2
2017333.4319.7–339.8290273.8–302.8
2018333.2320.1–340.1292.6275.1–308.7
2019334.1323.4–341.2291.2272.8–306.7
2020334.6322.6–341.8292.4272.2–307.8
2021335.6323.3–341.1294.2276.3–308.5
2022335.7323.3–342.1294.8277.2–311.9
2023336.7324.8–343.2296.1281.9–310.2
2024337.2325.7–343.9291.7275.5–307.8
2025336.3326.2–342.8294276.7–306.3
2026336.5322.9–343296278–309.3
2027336.2325.7–342.3295.8276.3–311.1
2028337.1325.5–343.8297279.3–315.1
2029338.1327.2–344.6300.3278.7–315
2030337.7326.2–344.4297.7280.2–312.5
2031337.1325.6–343.8300.8282.8–317.1
2032339.4329.5–346.1297.2280.9–311.4
2033339.7329.6–345.5300281.9–315.8
2034338.8328.8–345300.8279–318.4
2035338.6327.5–346.4298.6281.5–317.8
2036339.6327.8–346.9300.4279.9–316.9
2037339.8329.1–345.5299.8280–315.1
2038341.9330.7–347.7304.8286.6–319.3
2039341.2330.4–346.9300.9281.9–317
2040340.4328.1–347.6301.6284.5–315.7
2041341.1329.1–346.7303.1285.1–318.8
2042342331.4–347.7303.8290–318.3
2043341.3329–348.1302285.8–317.9
2044342.8329.9–349.8304.3286.3–318.8
2045343.4333.8–348.7307.1287.7–324.2
2046342.7330.2–348.7305.9285.2–321
2047343.2331.7–350.6306.6289.5–321.5
2048343.3332.7–350.6309.4288.9–325.7
2049343.2332.5–349.5308.1287.2–324.1
2050344.3332.6–349.9307.5291–321.5
2051344.4334.9–350.8312.8294.8–326
2052344.1333.5–350.9310.9291.2–323.4
2053344.3333.6–350.3308.3289.5–323.3
2054343.4332–349.9308.8292.8–322.3
2055344.3334.4–350.5308.6290.6–325.1
2056345334.6–352.6311.3294.9–326.3
2057345.5335.1–351.5308.5286.7–326.4
2058345.8334.3–351.3308291.1–325.1
2059345.5333.7–351.6312.7295.8–325.3
2060346.8335.5–353.5313.1294.6–328.6
2061345.9335–351.8314.4289.5–331.1
2062346335.2–353.5311.4293.4–330.3
2063346.6336.2–352.8314.8296.9–327.3
2064346.9335.3–353312.5295.4–330
2065346.1335.9–351.9309.6293.1–329.3
2066346.5335.4–352.4312.1292.6–328
2067346.1335.4–352311.2289.6–329.4
2068347.1335.1–354.1310.8292.4–330.6
2069347333.8–353.6315.5296.1–329.5
2070346.7336.1–352.7314.2292.9–330.7
2071347.6336.2–353.9313.8296.4–330.8
2072347334.4–353.8314.8296–329.6
2073348.4336.7–355316.5299.9–332.1
2074348.6337–354.9317.2295–333.8
2075347.9337.2–354317.2295.3–331.4
2076348.4337–355.1317.4299.8–335
2077348.7337–354.8317.5297.3–335.9
2078348.4338.2–354.7315.9297.1–331.6
2079348.8337.6–354.7318.5300.5–332.3
2080349.1338.4–355.9319.8297.4–337.5
2081348.8336.9–355.1317.7299.5–334.9
2082349.6338–354.9317.9294.8–333
2083349.9337.9–356.1315297.8–332.9
2084349.5336.7–356.4316295.5–330
2085349.1338.2–355.4322.6300.8–334.7
2086349.4337.5–354.9319.4295.2–335.2
2087349.7338.7–356320.2302.2–334.7
2088349.9338.9–356.1321.4299.8–334.8
2089350.2339.8–355.2318.9296.4–338.1
2090350.1339.7–355.9317.6304–337.4
2091349.5339.5–356.3320.1299.8–336.1
2092350.5339.3–356.1316.3298–336.4
2093350.4337.9–356.5316.1297.7–333.7
2094350.5338.4–355.9323.4301.8–337.3
2095350.5338.3–355.7322.9302.4–338.9
2096351.1339–358319.6302.8–336.7
2097350.2339.3–355.6319.8299.1–336
2098350.3337.4–355.2320.5303.9–336
2099350.6339.3–356.4319.9303.1–334.4
2100351.3340.2–356.3320.8301.1–336.7

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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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