孟加拉国与刚果(金)对比

孟加拉国与刚果(金):热带夜

2014 年热带夜:孟加拉国为 239.9 夜,刚果(金)为 248.5 夜(CMIP6 气候模型中位数模拟)。 2014 年刚果(金)的数值较高,高出 8.6 夜,是孟加拉国的 1.04 倍。

每年夜数 · CMIP6

孟加拉国与刚果(金):热带夜2014 年热带夜:孟加拉国为 239.9 夜,刚果(金)为 248.5 夜(CMIP6 气候模型中位数模拟)。 2014 年刚果(金)的数值较高,高出 8.6 夜,是孟加拉国的 1.04 倍。
孟加拉国刚果(金)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 2006 年超过孟加拉国以来,刚果(金)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,刚果(金)为 324.1 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国刚果(金)
2014239.9248.5
2013239249.2
2012240.4250.9
2011240.5248.7
2010241243.5
2009238.6243
2008236.7239.7
2007236.9237.7
2006238.9239
2005238.2237.3
2004238.7238.5
2003236.5239.3
2002237.6236.5
2001237.2242.5
2000239.3233.5
1999236.6226.2
1998235.5230.6
1997235.5226.6
1996235.5218.6
1995234.8217.2
1994233.6211.9
1993232.2201.5
1992228197.6
1991233.4220.1
1990234.6225.4
1989235.7218.4
1988235.1216.7
1987236.4216.6
1986233.8216.8
1985233.6206.1
1984236205.9
1983230204.3
1982232.3204.5
1981235.9215.2
1980233.4211.4
1979234.5208.5
1978231.8202.6
1977232.3206.5
1976232201.9
1975231.3199
1974232.9204
1973232.1208.4
1972234.3202.5
1971233.1196.3
1970232.5201.7
1969231.1197.3
1968229.7199
1967231.6188.8
1966232.6194.7
1965232.5189
1964229.3177.3
1963233.8178.5
1962231.9203.2
1961236.2203.9
1960232.5209.8
1959234.7203.3
1958233.5204.3
1957232.5204
1956234.3197.6
1955230.2200.5
1954232.9201
1953234204.6
1952230.3201.9
1951233.5204.8
1950233.9200.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国刚果(金)
2015241.2227–252.4256.6217.3–277.7
2016237.9226.6–249.3247.7213.3–269.3
2017239.8227.5–249.4257.4226.6–278.3
2018242.6227–255258.8228.1–276.8
2019241.2228.5–251.9255.8222.6–278.7
2020242.6229.3–254.4259.4227.4–282.3
2021244.3230.4–254.4262.6234.7–283.8
2022243.8231.5–254.2264.8235.1–288.5
2023243.5229.2–254.5263.9236.8–287.2
2024245.7231.4–257.1270.9237.9–290
2025242.5229.4–253.9266.1230.6–292.2
2026243.9227.9–258.1267.4226.8–294.5
2027247.1232.8–259.3268.6230.6–293.6
2028244.2232.2–254.4271.7239.7–295.9
2029247.3232.7–261.5275.9249.3–296.6
2030243.9232.3–255.2270.4241.7–296.1
2031245.1232.9–262.3279.4246.6–297.5
2032247.6236.6–257.8277.9249.4–302.3
2033245.3231.7–256.6276.9245.9–301.6
2034246.3233.2–260.4276.7247.4–305.6
2035246.4234.1–260.9281243.7–305.1
2036246.2228.6–260.4278.3244.7–304.9
2037247.7235.4–260.2286.9256.1–308.6
2038249232.1–261289261.5–307.1
2039250234.4–262.7284.7253.4–307.3
2040248.9235.5–260.5284.5254.7–311.5
2041248.3235.6–261.9289.9258.4–310.8
2042252.5237.8–265.3286.9254.1–314.3
2043250.8234.7–263.4285.9253–313
2044251.8239.1–265.2288.3253.6–312.5
2045250.3239.1–265.6289.4260.1–314.1
2046252.7238.9–267.8298.3261.3–317.3
2047253.9239.4–267.1298.5268.2–317.8
2048254.4242.7–270.5299.1268–320.8
2049253.7241.5–266.4300.3269.6–320.4
2050254.6242.5–269.2297.8267.2–320.6
2051254.7242.7–270.1298.4272.3–323.1
2052252.3240.2–264.6300.2271.5–324
2053256.9244–272.4298.7265.5–322.6
2054255.9243.5–269.4300.6269.6–322.8
2055255.2243.8–273.6301.9274.9–325.6
2056259.1243.6–274.7302.1266.2–328.3
2057257.5243.8–273.7305.1274.4–326.5
2058257.4245.6–274.2305.3274.1–327.1
2059258.3246.4–271.8305.4279–329.6
2060259.2246.1–272.6310.7273.5–330.2
2061257.7244.8–270.1307266.1–329.8
2062260.4246.4–274.2308.8269.1–332
2063259.9241.3–272.7308.4277.6–328.4
2064260.2245.9–273.1310.6278.4–329.6
2065259.8244.1–274.7311.9282.4–331.2
2066260246.6–274.6310.4284.2–330.3
2067261.4246.4–272.3308.8275.9–334
2068260.1245.8–274.8313.9280.8–334.6
2069263.3249.8–276.6312.1270.6–332.7
2070259.6245.8–272.6309.6278–334
2071262.2248.7–283.4312.6285–336.5
2072259.8248.6–276317287.7–334.6
2073264.1246.6–277.2316.2291.2–337.1
2074262.6248.3–276.6311.6284.5–334.9
2075263.6248.5–277.7312.3279.3–335.2
2076261.6251–276.9315.9288.7–337.1
2077264251.1–279.8318.5292.6–338.2
2078265251.6–281.6315287.3–337.1
2079263.8248.5–277.2314.8286.3–336
2080266.8251.9–280.3318.5286.8–337.8
2081266.5250.7–279.9318.4287.8–336.7
2082264249.6–277.3318.7289.8–336.5
2083266.6251.8–282.8317.4290.6–340.9
2084264.8253.1–284.2321.6293.8–339.8
2085265.4251.2–283.4324.4294.3–341.4
2086268.2252.8–285.3319290.7–340.7
2087265.7251.3–280.8318.3291.9–339.6
2088267.2252.6–284.4320.9292.9–340
2089267.1252.5–286.7322.1293.9–339.8
2090267.9254.9–283.4320.4295.5–341.7
2091267.7254.5–282.2325.4294.3–343.3
2092268.8253.6–281.7321.5294.4–342.4
2093268.1251.7–287323.1297.8–341.2
2094267.4251.3–287.4323.1296.5–341.1
2095270.8253.7–284.9325.6299.1–343.7
2096267.9250.5–285.8321.8296.2–344.1
2097269.3254.9–287.3321.5292.6–342
2098268.8252.4–284.9324.2295.1–342.8
2099269253–282.3322.8293.7–344.6
2100269.8254.8–284.9324.1292.1–344.1

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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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