孟加拉国与菲律宾对比

孟加拉国与菲律宾:热带夜

2014 年热带夜:孟加拉国为 239.9 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 91.6 夜,是孟加拉国的 1.38 倍。

每年夜数 · CMIP6

孟加拉国与菲律宾:热带夜2014 年热带夜:孟加拉国为 239.9 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 91.6 夜,是孟加拉国的 1.38 倍。
孟加拉国菲律宾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 年孟加拉国为 269.8 夜,菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国菲律宾
2014239.9331.5
2013239330.9
2012240.4331.1
2011240.5329.8
2010241330.6
2009238.6329
2008236.7327.5
2007236.9327.8
2006238.9328.7
2005238.2329.7
2004238.7329.4
2003236.5327.1
2002237.6328.9
2001237.2327.8
2000239.3326.8
1999236.6327.5
1998235.5326.5
1997235.5325.4
1996235.5324.6
1995234.8324.2
1994233.6321.5
1993232.2319.5
1992228318.4
1991233.4324.1
1990234.6323.5
1989235.7322.5
1988235.1324
1987236.4323.1
1986233.8322.1
1985233.6321.4
1984236321.7
1983230319.4
1982232.3320.5
1981235.9320.4
1980233.4322.7
1979234.5321.2
1978231.8320.6
1977232.3319.8
1976232319.6
1975231.3319.6
1974232.9320
1973232.1319.4
1972234.3318.9
1971233.1318.8
1970232.5319
1969231.1318.7
1968229.7317.2
1967231.6317.4
1966232.6318.8
1965232.5317.2
1964229.3314.9
1963233.8317.2
1962231.9318.6
1961236.2319.3
1960232.5318.6
1959234.7320.5
1958233.5321.8
1957232.5319.4
1956234.3320
1955230.2319.3
1954232.9317.7
1953234320
1952230.3319
1951233.5319.8
1950233.9320.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国菲律宾
2015241.2227–252.4333319.8–339.5
2016237.9226.6–249.3334.2322.8–340.7
2017239.8227.5–249.4333.4319.7–339.8
2018242.6227–255333.2320.1–340.1
2019241.2228.5–251.9334.1323.4–341.2
2020242.6229.3–254.4334.6322.6–341.8
2021244.3230.4–254.4335.6323.3–341.1
2022243.8231.5–254.2335.7323.3–342.1
2023243.5229.2–254.5336.7324.8–343.2
2024245.7231.4–257.1337.2325.7–343.9
2025242.5229.4–253.9336.3326.2–342.8
2026243.9227.9–258.1336.5322.9–343
2027247.1232.8–259.3336.2325.7–342.3
2028244.2232.2–254.4337.1325.5–343.8
2029247.3232.7–261.5338.1327.2–344.6
2030243.9232.3–255.2337.7326.2–344.4
2031245.1232.9–262.3337.1325.6–343.8
2032247.6236.6–257.8339.4329.5–346.1
2033245.3231.7–256.6339.7329.6–345.5
2034246.3233.2–260.4338.8328.8–345
2035246.4234.1–260.9338.6327.5–346.4
2036246.2228.6–260.4339.6327.8–346.9
2037247.7235.4–260.2339.8329.1–345.5
2038249232.1–261341.9330.7–347.7
2039250234.4–262.7341.2330.4–346.9
2040248.9235.5–260.5340.4328.1–347.6
2041248.3235.6–261.9341.1329.1–346.7
2042252.5237.8–265.3342331.4–347.7
2043250.8234.7–263.4341.3329–348.1
2044251.8239.1–265.2342.8329.9–349.8
2045250.3239.1–265.6343.4333.8–348.7
2046252.7238.9–267.8342.7330.2–348.7
2047253.9239.4–267.1343.2331.7–350.6
2048254.4242.7–270.5343.3332.7–350.6
2049253.7241.5–266.4343.2332.5–349.5
2050254.6242.5–269.2344.3332.6–349.9
2051254.7242.7–270.1344.4334.9–350.8
2052252.3240.2–264.6344.1333.5–350.9
2053256.9244–272.4344.3333.6–350.3
2054255.9243.5–269.4343.4332–349.9
2055255.2243.8–273.6344.3334.4–350.5
2056259.1243.6–274.7345334.6–352.6
2057257.5243.8–273.7345.5335.1–351.5
2058257.4245.6–274.2345.8334.3–351.3
2059258.3246.4–271.8345.5333.7–351.6
2060259.2246.1–272.6346.8335.5–353.5
2061257.7244.8–270.1345.9335–351.8
2062260.4246.4–274.2346335.2–353.5
2063259.9241.3–272.7346.6336.2–352.8
2064260.2245.9–273.1346.9335.3–353
2065259.8244.1–274.7346.1335.9–351.9
2066260246.6–274.6346.5335.4–352.4
2067261.4246.4–272.3346.1335.4–352
2068260.1245.8–274.8347.1335.1–354.1
2069263.3249.8–276.6347333.8–353.6
2070259.6245.8–272.6346.7336.1–352.7
2071262.2248.7–283.4347.6336.2–353.9
2072259.8248.6–276347334.4–353.8
2073264.1246.6–277.2348.4336.7–355
2074262.6248.3–276.6348.6337–354.9
2075263.6248.5–277.7347.9337.2–354
2076261.6251–276.9348.4337–355.1
2077264251.1–279.8348.7337–354.8
2078265251.6–281.6348.4338.2–354.7
2079263.8248.5–277.2348.8337.6–354.7
2080266.8251.9–280.3349.1338.4–355.9
2081266.5250.7–279.9348.8336.9–355.1
2082264249.6–277.3349.6338–354.9
2083266.6251.8–282.8349.9337.9–356.1
2084264.8253.1–284.2349.5336.7–356.4
2085265.4251.2–283.4349.1338.2–355.4
2086268.2252.8–285.3349.4337.5–354.9
2087265.7251.3–280.8349.7338.7–356
2088267.2252.6–284.4349.9338.9–356.1
2089267.1252.5–286.7350.2339.8–355.2
2090267.9254.9–283.4350.1339.7–355.9
2091267.7254.5–282.2349.5339.5–356.3
2092268.8253.6–281.7350.5339.3–356.1
2093268.1251.7–287350.4337.9–356.5
2094267.4251.3–287.4350.5338.4–355.9
2095270.8253.7–284.9350.5338.3–355.7
2096267.9250.5–285.8351.1339–358
2097269.3254.9–287.3350.2339.3–355.6
2098268.8252.4–284.9350.3337.4–355.2
2099269253–282.3350.6339.3–356.4
2100269.8254.8–284.9351.3340.2–356.3

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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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