马来西亚与菲律宾对比

马来西亚与菲律宾:热带夜

2014 年热带夜:马来西亚为 323 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 8.5 夜,是马来西亚的 1.03 倍。

每年夜数 · CMIP6

马来西亚与菲律宾:热带夜2014 年热带夜:马来西亚为 323 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 8.5 夜,是马来西亚的 1.03 倍。
马来西亚菲律宾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 年马来西亚为 354.8 夜,菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份马来西亚菲律宾
2014323331.5
2013323.9330.9
2012323.3331.1
2011320.9329.8
2010320.9330.6
2009320.3329
2008317.9327.5
2007317.8327.8
2006317.3328.7
2005318.4329.7
2004319.4329.4
2003316327.1
2002316328.9
2001316.5327.8
2000314.5326.8
1999312.9327.5
1998312.5326.5
1997310.6325.4
1996307.1324.6
1995307.3324.2
1994304.1321.5
1993298.2319.5
1992293.6318.4
1991308.9324.1
1990310.4323.5
1989306.9322.5
1988306.8324
1987306323.1
1986305.5322.1
1985301.7321.4
1984302.1321.7
1983297.2319.4
1982302.6320.5
1981303.7320.4
1980303.3322.7
1979302.4321.2
1978301320.6
1977301.3319.8
1976298.9319.6
1975297.7319.6
1974298.1320
1973299.1319.4
1972297318.9
1971298.3318.8
1970296319
1969297.4318.7
1968295.2317.2
1967293.1317.4
1966296.2318.8
1965293.1317.2
1964291.3314.9
1963291.6317.2
1962299.1318.6
1961299.5319.3
1960300.1318.6
1959299.9320.5
1958301.7321.8
1957299319.4
1956298.1320
1955299.3319.3
1954296.8317.7
1953298.8320
1952299.4319
1951299.1319.8
1950300320.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马来西亚菲律宾
2015324.4308.5–333.7333319.8–339.5
2016323.8310.5–334.9334.2322.8–340.7
2017325.6309.9–334.4333.4319.7–339.8
2018325.7310.7–335.4333.2320.1–340.1
2019326.4311.9–335.3334.1323.4–341.2
2020328313.4–337.7334.6322.6–341.8
2021328.8314–336.3335.6323.3–341.1
2022329315.3–339335.7323.3–342.1
2023330.1316–340.5336.7324.8–343.2
2024332319.6–340.7337.2325.7–343.9
2025330.3317.7–342336.3326.2–342.8
2026330.2315.1–342.9336.5322.9–343
2027331315.2–342.4336.2325.7–342.3
2028332.4319–341.9337.1325.5–343.8
2029334.4322.5–344.9338.1327.2–344.6
2030333.4319.2–342.6337.7326.2–344.4
2031333.8317.1–342.5337.1325.6–343.8
2032336.5323.3–345.9339.4329.5–346.1
2033336.4322.5–343.3339.7329.6–345.5
2034334.8322.7–344.3338.8328.8–345
2035334.7323.3–347.9338.6327.5–346.4
2036336.9320.7–346.2339.6327.8–346.9
2037338.3325.4–345.3339.8329.1–345.5
2038339.7326.9–347.4341.9330.7–347.7
2039340326–347.4341.2330.4–346.9
2040338.6325.1–349340.4328.1–347.6
2041340.3326.3–348.1341.1329.1–346.7
2042339.9326.9–349.6342331.4–347.7
2043338.3324.3–348.3341.3329–348.1
2044340.6326.3–350.4342.8329.9–349.8
2045340.9327.4–349.8343.4333.8–348.7
2046343.3327.6–351.4342.7330.2–348.7
2047343325.3–352.9343.2331.7–350.6
2048342.6329–352.5343.3332.7–350.6
2049343.8331.1–354.1343.2332.5–349.5
2050342.7328.1–353.5344.3332.6–349.9
2051344.5330.7–354.3344.4334.9–350.8
2052345.1330.3–355344.1333.5–350.9
2053344.2331–353.5344.3333.6–350.3
2054345330.1–354.6343.4332–349.9
2055346.1332–354.3344.3334.4–350.5
2056346.5332.2–356.6345334.6–352.6
2057347.9332.3–355.4345.5335.1–351.5
2058347333.5–355.6345.8334.3–351.3
2059346.9333.4–356.2345.5333.7–351.6
2060349.7334.9–357.3346.8335.5–353.5
2061348.4334.1–356.1345.9335–351.8
2062348.4331.8–357.7346335.2–353.5
2063348.7333.2–357.7346.6336.2–352.8
2064349.1333.8–357.5346.9335.3–353
2065348.6334.6–356.8346.1335.9–351.9
2066349.3335–357.5346.5335.4–352.4
2067349.1334–356.6346.1335.4–352
2068350334.6–358.7347.1335.1–354.1
2069349.5334.2–357.9347333.8–353.6
2070349.2336.2–357.7346.7336.1–352.7
2071350.9336.1–358.6347.6336.2–353.9
2072351337.2–357.9347334.4–353.8
2073351.1338.7–359.9348.4336.7–355
2074350337.8–359.4348.6337–354.9
2075350.5335.4–358.1347.9337.2–354
2076351.6337.5–359.7348.4337–355.1
2077352.4336.4–359.9348.7337–354.8
2078351.3338.9–358.8348.4338.2–354.7
2079351.8337.9–359.7348.8337.6–354.7
2080352.4338.8–360.7349.1338.4–355.9
2081352.2337.3–359.7348.8336.9–355.1
2082352.7336.9–358.9349.6338–354.9
2083352.5339.6–360.4349.9337.9–356.1
2084353.5337.9–360.4349.5336.7–356.4
2085352.9340.2–360.2349.1338.2–355.4
2086352.8339.9–360349.4337.5–354.9
2087352.8338.4–361349.7338.7–356
2088354340–360.9349.9338.9–356.1
2089353.7339.7–359.9350.2339.8–355.2
2090353.3340.3–360.6350.1339.7–355.9
2091354.7338.9–361349.5339.5–356.3
2092355.3340.4–361.7350.5339.3–356.1
2093353.5339.3–362350.4337.9–356.5
2094355.4341.2–360.4350.5338.4–355.9
2095355339.4–360.6350.5338.3–355.7
2096353.6339.6–363.1351.1339–358
2097354.3339.5–360.6350.2339.3–355.6
2098354.8340.2–360.7350.3337.4–355.2
2099353.7340–361.8350.6339.3–356.4
2100354.8340.4–360.8351.3340.2–356.3

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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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