孟加拉国与越南对比

孟加拉国与越南:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 2.7 夜,是孟加拉国的 1.01 倍。

每年夜数 · CMIP6

孟加拉国与越南:热带夜2014 年热带夜:孟加拉国为 239.9 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 2.7 夜,是孟加拉国的 1.01 倍。
孟加拉国越南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 2011 年超过孟加拉国以来,越南的数值一直更高。
  • 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,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国越南
2014239.9242.6
2013239243.6
2012240.4242.4
2011240.5241.9
2010241240.9
2009238.6240
2008236.7238.7
2007236.9238
2006238.9239.1
2005238.2238.3
2004238.7241.8
2003236.5235.9
2002237.6236.3
2001237.2241.3
2000239.3237
1999236.6236
1998235.5236.8
1997235.5237.1
1996235.5231.4
1995234.8229.9
1994233.6231.2
1993232.2225.3
1992228221.9
1991233.4229.8
1990234.6233.1
1989235.7229.2
1988235.1231.7
1987236.4230.3
1986233.8230.9
1985233.6228
1984236230.2
1983230224.9
1982232.3227.5
1981235.9229.7
1980233.4228.1
1979234.5228.9
1978231.8227.5
1977232.3229
1976232225.8
1975231.3225.8
1974232.9225.7
1973232.1230.3
1972234.3225.6
1971233.1225.5
1970232.5226.1
1969231.1227
1968229.7227.1
1967231.6222.9
1966232.6226.8
1965232.5225.4
1964229.3222.6
1963233.8224.3
1962231.9227.8
1961236.2229.4
1960232.5228.5
1959234.7226.2
1958233.5230.9
1957232.5228.4
1956234.3228.7
1955230.2227.5
1954232.9226.3
1953234228.2
1952230.3228.5
1951233.5229.2
1950233.9228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国越南
2015241.2227–252.4245.8228.2–261.9
2016237.9226.6–249.3243.7226.1–259.4
2017239.8227.5–249.4247229.6–260.7
2018242.6227–255248.3228.8–263.3
2019241.2228.5–251.9248.1229.2–262.8
2020242.6229.3–254.4248.8229.6–262.9
2021244.3230.4–254.4251.1233.1–266.7
2022243.8231.5–254.2252.4234.3–266.8
2023243.5229.2–254.5253.4235.4–266.6
2024245.7231.4–257.1251.3236.7–264.6
2025242.5229.4–253.9252.4234.1–266.2
2026243.9227.9–258.1252.8232.9–268.5
2027247.1232.8–259.3253.2237–268.8
2028244.2232.2–254.4254.3237.7–272
2029247.3232.7–261.5258.1238.5–273.7
2030243.9232.3–255.2256.4240.9–270.1
2031245.1232.9–262.3255.9241.2–270.9
2032247.6236.6–257.8257.4239.1–269.9
2033245.3231.7–256.6258.3241.7–273.2
2034246.3233.2–260.4258.8240.7–275.8
2035246.4234.1–260.9258.6242.5–275.4
2036246.2228.6–260.4258.3239.1–273.8
2037247.7235.4–260.2258.7242.4–272.4
2038249232.1–261263.4247.6–277.3
2039250234.4–262.7260.2243.7–275.9
2040248.9235.5–260.5260.1242.8–274.8
2041248.3235.6–261.9263.1245.9–279
2042252.5237.8–265.3263.6246.5–279
2043250.8234.7–263.4261.4245.5–279.6
2044251.8239.1–265.2263.2245.2–277.6
2045250.3239.1–265.6265.5249.6–281.4
2046252.7238.9–267.8264.9246.8–278.1
2047253.9239.4–267.1266.9250.4–282.9
2048254.4242.7–270.5268250.5–283.8
2049253.7241.5–266.4267.8251.2–284.8
2050254.6242.5–269.2268251.2–283.5
2051254.7242.7–270.1270.9254.3–285.4
2052252.3240.2–264.6268.3253.3–282.8
2053256.9244–272.4268.5250.1–283.2
2054255.9243.5–269.4269.1250.8–283.6
2055255.2243.8–273.6270249.8–284.2
2056259.1243.6–274.7271.7254.8–290.1
2057257.5243.8–273.7270253–285.7
2058257.4245.6–274.2270.7252.9–286.5
2059258.3246.4–271.8273257.6–286.6
2060259.2246.1–272.6275.7255.6–290.6
2061257.7244.8–270.1273.5254.6–289.5
2062260.4246.4–274.2271.4253.1–290.2
2063259.9241.3–272.7272.9252.7–288.1
2064260.2245.9–273.1273.8254.4–288.1
2065259.8244.1–274.7272255.8–286.3
2066260246.6–274.6271.8254.4–287.3
2067261.4246.4–272.3270.8252.1–287.6
2068260.1245.8–274.8275.6256.9–292.4
2069263.3249.8–276.6276.4258.5–292
2070259.6245.8–272.6274.6257.8–292.8
2071262.2248.7–283.4276.2255.2–294.1
2072259.8248.6–276277256.8–291.4
2073264.1246.6–277.2278.5262.7–293.4
2074262.6248.3–276.6277.6259.2–295.8
2075263.6248.5–277.7276.4258.7–294.4
2076261.6251–276.9279.2258.5–296.6
2077264251.1–279.8280264.9–294.7
2078265251.6–281.6278.4258.6–295.5
2079263.8248.5–277.2279.3263.4–293.6
2080266.8251.9–280.3280261.4–296.5
2081266.5250.7–279.9280.4261.2–297.9
2082264249.6–277.3280.9258.9–296
2083266.6251.8–282.8278.4261.6–295
2084264.8253.1–284.2279257.4–293.8
2085265.4251.2–283.4281.3265–297.8
2086268.2252.8–285.3282.3260.2–297.5
2087265.7251.3–280.8281.9261.3–300.7
2088267.2252.6–284.4283.1265.7–301.5
2089267.1252.5–286.7280.8261.2–301.6
2090267.9254.9–283.4280.5264.5–297.6
2091267.7254.5–282.2283.3264.3–298.9
2092268.8253.6–281.7281.1261.5–299.4
2093268.1251.7–287280.5263.4–296.1
2094267.4251.3–287.4283264.5–300
2095270.8253.7–284.9285.5264.5–302.9
2096267.9250.5–285.8281.8264.8–299.8
2097269.3254.9–287.3281.5263.3–299
2098268.8252.4–284.9282.5263.9–301.5
2099269253–282.3282.7265.1–298
2100269.8254.8–284.9282.7261–298.2

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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。

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