菲律宾与越南对比

菲律宾与越南:热带夜

2014 年热带夜:菲律宾为 331.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 88.9 夜,是越南的 1.37 倍。

每年夜数 · CMIP6

菲律宾与越南:热带夜2014 年热带夜:菲律宾为 331.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 88.9 夜,是越南的 1.37 倍。
菲律宾越南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,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份菲律宾越南
2014331.5242.6
2013330.9243.6
2012331.1242.4
2011329.8241.9
2010330.6240.9
2009329240
2008327.5238.7
2007327.8238
2006328.7239.1
2005329.7238.3
2004329.4241.8
2003327.1235.9
2002328.9236.3
2001327.8241.3
2000326.8237
1999327.5236
1998326.5236.8
1997325.4237.1
1996324.6231.4
1995324.2229.9
1994321.5231.2
1993319.5225.3
1992318.4221.9
1991324.1229.8
1990323.5233.1
1989322.5229.2
1988324231.7
1987323.1230.3
1986322.1230.9
1985321.4228
1984321.7230.2
1983319.4224.9
1982320.5227.5
1981320.4229.7
1980322.7228.1
1979321.2228.9
1978320.6227.5
1977319.8229
1976319.6225.8
1975319.6225.8
1974320225.7
1973319.4230.3
1972318.9225.6
1971318.8225.5
1970319226.1
1969318.7227
1968317.2227.1
1967317.4222.9
1966318.8226.8
1965317.2225.4
1964314.9222.6
1963317.2224.3
1962318.6227.8
1961319.3229.4
1960318.6228.5
1959320.5226.2
1958321.8230.9
1957319.4228.4
1956320228.7
1955319.3227.5
1954317.7226.3
1953320228.2
1952319228.5
1951319.8229.2
1950320.4228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份菲律宾越南
2015333319.8–339.5245.8228.2–261.9
2016334.2322.8–340.7243.7226.1–259.4
2017333.4319.7–339.8247229.6–260.7
2018333.2320.1–340.1248.3228.8–263.3
2019334.1323.4–341.2248.1229.2–262.8
2020334.6322.6–341.8248.8229.6–262.9
2021335.6323.3–341.1251.1233.1–266.7
2022335.7323.3–342.1252.4234.3–266.8
2023336.7324.8–343.2253.4235.4–266.6
2024337.2325.7–343.9251.3236.7–264.6
2025336.3326.2–342.8252.4234.1–266.2
2026336.5322.9–343252.8232.9–268.5
2027336.2325.7–342.3253.2237–268.8
2028337.1325.5–343.8254.3237.7–272
2029338.1327.2–344.6258.1238.5–273.7
2030337.7326.2–344.4256.4240.9–270.1
2031337.1325.6–343.8255.9241.2–270.9
2032339.4329.5–346.1257.4239.1–269.9
2033339.7329.6–345.5258.3241.7–273.2
2034338.8328.8–345258.8240.7–275.8
2035338.6327.5–346.4258.6242.5–275.4
2036339.6327.8–346.9258.3239.1–273.8
2037339.8329.1–345.5258.7242.4–272.4
2038341.9330.7–347.7263.4247.6–277.3
2039341.2330.4–346.9260.2243.7–275.9
2040340.4328.1–347.6260.1242.8–274.8
2041341.1329.1–346.7263.1245.9–279
2042342331.4–347.7263.6246.5–279
2043341.3329–348.1261.4245.5–279.6
2044342.8329.9–349.8263.2245.2–277.6
2045343.4333.8–348.7265.5249.6–281.4
2046342.7330.2–348.7264.9246.8–278.1
2047343.2331.7–350.6266.9250.4–282.9
2048343.3332.7–350.6268250.5–283.8
2049343.2332.5–349.5267.8251.2–284.8
2050344.3332.6–349.9268251.2–283.5
2051344.4334.9–350.8270.9254.3–285.4
2052344.1333.5–350.9268.3253.3–282.8
2053344.3333.6–350.3268.5250.1–283.2
2054343.4332–349.9269.1250.8–283.6
2055344.3334.4–350.5270249.8–284.2
2056345334.6–352.6271.7254.8–290.1
2057345.5335.1–351.5270253–285.7
2058345.8334.3–351.3270.7252.9–286.5
2059345.5333.7–351.6273257.6–286.6
2060346.8335.5–353.5275.7255.6–290.6
2061345.9335–351.8273.5254.6–289.5
2062346335.2–353.5271.4253.1–290.2
2063346.6336.2–352.8272.9252.7–288.1
2064346.9335.3–353273.8254.4–288.1
2065346.1335.9–351.9272255.8–286.3
2066346.5335.4–352.4271.8254.4–287.3
2067346.1335.4–352270.8252.1–287.6
2068347.1335.1–354.1275.6256.9–292.4
2069347333.8–353.6276.4258.5–292
2070346.7336.1–352.7274.6257.8–292.8
2071347.6336.2–353.9276.2255.2–294.1
2072347334.4–353.8277256.8–291.4
2073348.4336.7–355278.5262.7–293.4
2074348.6337–354.9277.6259.2–295.8
2075347.9337.2–354276.4258.7–294.4
2076348.4337–355.1279.2258.5–296.6
2077348.7337–354.8280264.9–294.7
2078348.4338.2–354.7278.4258.6–295.5
2079348.8337.6–354.7279.3263.4–293.6
2080349.1338.4–355.9280261.4–296.5
2081348.8336.9–355.1280.4261.2–297.9
2082349.6338–354.9280.9258.9–296
2083349.9337.9–356.1278.4261.6–295
2084349.5336.7–356.4279257.4–293.8
2085349.1338.2–355.4281.3265–297.8
2086349.4337.5–354.9282.3260.2–297.5
2087349.7338.7–356281.9261.3–300.7
2088349.9338.9–356.1283.1265.7–301.5
2089350.2339.8–355.2280.8261.2–301.6
2090350.1339.7–355.9280.5264.5–297.6
2091349.5339.5–356.3283.3264.3–298.9
2092350.5339.3–356.1281.1261.5–299.4
2093350.4337.9–356.5280.5263.4–296.1
2094350.5338.4–355.9283264.5–300
2095350.5338.3–355.7285.5264.5–302.9
2096351.1339–358281.8264.8–299.8
2097350.2339.3–355.6281.5263.3–299
2098350.3337.4–355.2282.5263.9–301.5
2099350.6339.3–356.4282.7265.1–298
2100351.3340.2–356.3282.7261–298.2

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

菲律宾与越南对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境