缅甸与菲律宾对比

缅甸与菲律宾:热带夜

2014 年热带夜:缅甸为 201.9 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 129.6 夜,是缅甸的 1.64 倍。

每年夜数 · CMIP6

缅甸与菲律宾:热带夜2014 年热带夜:缅甸为 201.9 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 129.6 夜,是缅甸的 1.64 倍。
缅甸菲律宾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 年缅甸为 244.5 夜,菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸菲律宾
2014201.9331.5
2013203.1330.9
2012201.1331.1
2011200.9329.8
2010202.1330.6
2009199329
2008198.1327.5
2007196.8327.8
2006198.2328.7
2005196.7329.7
2004200.3329.4
2003195.3327.1
2002196.6328.9
2001199327.8
2000197.2326.8
1999196.4327.5
1998194.7326.5
1997194.4325.4
1996191.4324.6
1995189.9324.2
1994188.8321.5
1993185319.5
1992180.5318.4
1991191.7324.1
1990191.5323.5
1989190.3322.5
1988190.7324
1987190.8323.1
1986189.7322.1
1985187.4321.4
1984189.1321.7
1983182.3319.4
1982186.7320.5
1981188.4320.4
1980189322.7
1979189.8321.2
1978186.8320.6
1977187.4319.8
1976185.8319.6
1975183.6319.6
1974185.5320
1973187.5319.4
1972184.8318.9
1971185.2318.8
1970184.9319
1969184.3318.7
1968183.7317.2
1967182.3317.4
1966186.2318.8
1965182.9317.2
1964180.6314.9
1963183.1317.2
1962187.3318.6
1961188.7319.3
1960187.1318.6
1959186.5320.5
1958187.1321.8
1957186.2319.4
1956187.9320
1955185.9319.3
1954185.7317.7
1953185320
1952186.1319
1951187.1319.8
1950186.9320.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份缅甸菲律宾
2015205.2186.4–218.9333319.8–339.5
2016202.8186.2–218.8334.2322.8–340.7
2017203.4187.3–218.3333.4319.7–339.8
2018205.5190.9–219.9333.2320.1–340.1
2019205.2186.7–222.2334.1323.4–341.2
2020208.2188.5–223.5334.6322.6–341.8
2021208.9191.2–224.1335.6323.3–341.1
2022209.9192.7–224.9335.7323.3–342.1
2023210.6195.4–226.3336.7324.8–343.2
2024210.4193.8–226.6337.2325.7–343.9
2025209.9190.3–225.2336.3326.2–342.8
2026212.2194.3–229.2336.5322.9–343
2027212195.6–228.6336.2325.7–342.3
2028213195.7–227.2337.1325.5–343.8
2029215.3193.9–231.9338.1327.2–344.6
2030212.2194.9–228337.7326.2–344.4
2031214.3197.2–230.8337.1325.6–343.8
2032215199.3–229.6339.4329.5–346.1
2033215.5198.5–230.1339.7329.6–345.5
2034214.9198.4–233.5338.8328.8–345
2035214.9199.2–236.8338.6327.5–346.4
2036216198.7–234.5339.6327.8–346.9
2037217.2199.6–233.5339.8329.1–345.5
2038220.7204.8–235.1341.9330.7–347.7
2039219.7202.4–234.3341.2330.4–346.9
2040219.2202.9–235340.4328.1–347.6
2041220.7203.9–237.7341.1329.1–346.7
2042221.8206.1–237.2342331.4–347.7
2043219.5201.2–237.1341.3329–348.1
2044221.4201.6–239.6342.8329.9–349.8
2045223.7204.8–241.5343.4333.8–348.7
2046223.2203.2–240.2342.7330.2–348.7
2047224.3204.8–241.1343.2331.7–350.6
2048226.4207.7–243.8343.3332.7–350.6
2049226.5205.6–242.8343.2332.5–349.5
2050227209.3–243.5344.3332.6–349.9
2051229.6212.4–246.4344.4334.9–350.8
2052227.2208.6–244.2344.1333.5–350.9
2053227.9208.7–247.7344.3333.6–350.3
2054227.9209.6–244.8343.4332–349.9
2055229.1209.8–247.5344.3334.4–350.5
2056231.8210.4–252.1345334.6–352.6
2057228.6208–249345.5335.1–351.5
2058228.9208.8–249345.8334.3–351.3
2059230.7212.1–247.5345.5333.7–351.6
2060234.7211.1–251.5346.8335.5–353.5
2061231.9213–247.7345.9335–351.8
2062233.6209.9–252.8346335.2–353.5
2063233215.4–250.5346.6336.2–352.8
2064233.2214.4–251.3346.9335.3–353
2065230.7210.4–250.7346.1335.9–351.9
2066233.5214.3–251.2346.5335.4–352.4
2067233211.5–253.3346.1335.4–352
2068233.1212.4–253.7347.1335.1–354.1
2069236.1214.6–253.4347333.8–353.6
2070235.9218.1–253.4346.7336.1–352.7
2071235.1213.5–259.6347.6336.2–353.9
2072234.6216.1–252.6347334.4–353.8
2073237.2219.3–257.2348.4336.7–355
2074236.4215.7–254.5348.6337–354.9
2075236.7214.4–255.9347.9337.2–354
2076237.7216–257348.4337–355.1
2077237.5219–258.7348.7337–354.8
2078238.5217.3–257.8348.4338.2–354.7
2079238.5219.2–257.2348.8337.6–354.7
2080240.5218.8–258.3349.1338.4–355.9
2081240219.7–260.9348.8336.9–355.1
2082239.4217.1–258.8349.6338–354.9
2083239.1220.5–259.2349.9337.9–356.1
2084241.3218.9–260.6349.5336.7–356.4
2085241.7218.8–260.7349.1338.2–355.4
2086241.7217.4–262.7349.4337.5–354.9
2087241.4220.5–260.9349.7338.7–356
2088241.8222.3–261.5349.9338.9–356.1
2089240.7221.2–262.6350.2339.8–355.2
2090241.3224.4–260.9350.1339.7–355.9
2091242.6220.3–262.5349.5339.5–356.3
2092241.9221.6–263.3350.5339.3–356.1
2093242.1220.2–260350.4337.9–356.5
2094242.5222.5–261.9350.5338.4–355.9
2095244.9224–264.4350.5338.3–355.7
2096243.9221.1–266.5351.1339–358
2097243.6219.6–264.2350.2339.3–355.6
2098243.6222.5–263.9350.3337.4–355.2
2099244.7221.8–263.5350.6339.3–356.4
2100244.5223.2–261.8351.3340.2–356.3

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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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