菲律宾与新加坡对比

菲律宾与新加坡：热带夜

2014 年热带夜：菲律宾为 331.5 夜，新加坡为 365 夜（CMIP6 气候模型中位数模拟）。 2014 年新加坡的数值较高，高出 33.5 夜，是菲律宾的 1.1 倍。

在地图上查看其变化

每年夜数 · CMIP6

菲律宾与新加坡：热带夜2014 年热带夜：菲律宾为 331.5 夜，新加坡为 365 夜（CMIP6 气候模型中位数模拟）。 2014 年新加坡的数值较高，高出 33.5 夜，是菲律宾的 1.1 倍。
菲律宾新加坡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，新加坡的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年菲律宾为 351.3 夜，新加坡为 365 夜。

逐年数据

每年夜数 · CMIP6

年份菲律宾新加坡
2014331.5365
2013330.9365
2012331.1365
2011329.8365
2010330.6365
2009329365
2008327.5365
2007327.8365
2006328.7365
2005329.7365
2004329.4365
2003327.1365
2002328.9365
2001327.8365
2000326.8365
1999327.5365
1998326.5365
1997325.4365
1996324.6365
1995324.2365
1994321.5365
1993319.5365
1992318.4365
1991324.1365
1990323.5365
1989322.5365
1988324365
1987323.1365
1986322.1365
1985321.4365
1984321.7365
1983319.4365
1982320.5365
1981320.4365
1980322.7365
1979321.2365
1978320.6365
1977319.8365
1976319.6365
1975319.6365
1974320365
1973319.4365
1972318.9365
1971318.8365
1970319365
1969318.7365
1968317.2365
1967317.4365
1966318.8365
1965317.2365
1964314.9365
1963317.2365
1962318.6365
1961319.3365
1960318.6365
1959320.5365
1958321.8365
1957319.4365
1956320365
1955319.3365
1954317.7365
1953320365
1952319365
1951319.8365
1950320.4365
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份菲律宾新加坡
2015333319.8–339.5365360–365
2016334.2322.8–340.7365360–366
2017333.4319.7–339.8365360–365
2018333.2320.1–340.1365360–365
2019334.1323.4–341.2365360–365
2020334.6322.6–341.8365360–366
2021335.6323.3–341.1365360–365
2022335.7323.3–342.1365360–365
2023336.7324.8–343.2365360–365
2024337.2325.7–343.9365360–366
2025336.3326.2–342.8365360–365
2026336.5322.9–343365360–365
2027336.2325.7–342.3365360–365
2028337.1325.5–343.8365360–366
2029338.1327.2–344.6365360–365
2030337.7326.2–344.4365360–365
2031337.1325.6–343.8365360–365
2032339.4329.5–346.1365360–366
2033339.7329.6–345.5365360–365
2034338.8328.8–345365360–365
2035338.6327.5–346.4365360–365
2036339.6327.8–346.9365360–366
2037339.8329.1–345.5365360–365
2038341.9330.7–347.7365360–365
2039341.2330.4–346.9365360–365
2040340.4328.1–347.6365360–366
2041341.1329.1–346.7365360–365
2042342331.4–347.7365360–365
2043341.3329–348.1365360–365
2044342.8329.9–349.8365360–366
2045343.4333.8–348.7365360–365
2046342.7330.2–348.7365360–365
2047343.2331.7–350.6365360–365
2048343.3332.7–350.6365360–366
2049343.2332.5–349.5365360–365
2050344.3332.6–349.9365360–365
2051344.4334.9–350.8365360–365
2052344.1333.5–350.9365360–366
2053344.3333.6–350.3365360–365
2054343.4332–349.9365360–365
2055344.3334.4–350.5365360–365
2056345334.6–352.6365360–366
2057345.5335.1–351.5365360–365
2058345.8334.3–351.3365360–365
2059345.5333.7–351.6365360–365
2060346.8335.5–353.5365360–366
2061345.9335–351.8365360–365
2062346335.2–353.5365360–365
2063346.6336.2–352.8365360–365
2064346.9335.3–353365360–366
2065346.1335.9–351.9365360–365
2066346.5335.4–352.4365360–365
2067346.1335.4–352365360–365
2068347.1335.1–354.1365360–366
2069347333.8–353.6365360–365
2070346.7336.1–352.7365360–365
2071347.6336.2–353.9365360–365
2072347334.4–353.8365360–366
2073348.4336.7–355365360–365
2074348.6337–354.9365360–365
2075347.9337.2–354365360–365
2076348.4337–355.1365360–366
2077348.7337–354.8365360–365
2078348.4338.2–354.7365360–365
2079348.8337.6–354.7365360–365
2080349.1338.4–355.9365360–366
2081348.8336.9–355.1365360–365
2082349.6338–354.9365360–365
2083349.9337.9–356.1365360–365
2084349.5336.7–356.4365360–366
2085349.1338.2–355.4365360–365
2086349.4337.5–354.9365360–365
2087349.7338.7–356365360–365
2088349.9338.9–356.1365360–366
2089350.2339.8–355.2365360–365
2090350.1339.7–355.9365360–365
2091349.5339.5–356.3365360–365
2092350.5339.3–356.1365360–366
2093350.4337.9–356.5365360–365
2094350.5338.4–355.9365360–365
2095350.5338.3–355.7365360–365
2096351.1339–358365360–366
2097350.2339.3–355.6365360–365
2098350.3337.4–355.2365360–365
2099350.6339.3–356.4365360–365
2100351.3340.2–356.3365360–365

分别查看各国

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

菲律宾与新加坡对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境