孟加拉国与巴西对比

孟加拉国与巴西：热带夜

2014 年热带夜：孟加拉国为 239.9 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 42.1 夜，是孟加拉国的 1.18 倍。

在地图上查看其变化

每年夜数 · CMIP6

孟加拉国与巴西：热带夜2014 年热带夜：孟加拉国为 239.9 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 42.1 夜，是孟加拉国的 1.18 倍。
孟加拉国巴西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，巴西的数值都更高。
  • 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，巴西为 317.3 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国巴西
2014239.9282
2013239282.5
2012240.4283.6
2011240.5281.8
2010241280.2
2009238.6279.2
2008236.7277.8
2007236.9275.9
2006238.9275.4
2005238.2275.8
2004238.7278.5
2003236.5276.7
2002237.6276.2
2001237.2277.7
2000239.3273.3
1999236.6271
1998235.5273.6
1997235.5270.9
1996235.5264.7
1995234.8263.8
1994233.6263.6
1993232.2258.3
1992228252.8
1991233.4269.7
1990234.6272.5
1989235.7267.1
1988235.1264.7
1987236.4265.9
1986233.8265.7
1985233.6260.6
1984236261.1
1983230255.9
1982232.3264.8
1981235.9265.3
1980233.4262
1979234.5261.2
1978231.8259.7
1977232.3261.8
1976232258.4
1975231.3252.4
1974232.9258.7
1973232.1261
1972234.3258.1
1971233.1256.5
1970232.5254.5
1969231.1255.1
1968229.7254.9
1967231.6250.3
1966232.6254.5
1965232.5250.8
1964229.3246.2
1963233.8241.9
1962231.9257.9
1961236.2258.2
1960232.5260.3
1959234.7255.7
1958233.5258.1
1957232.5256.6
1956234.3251.2
1955230.2257.2
1954232.9258
1953234255.2
1952230.3255.8
1951233.5256.3
1950233.9254.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份孟加拉国巴西
2015241.2227–252.4284257.6–299.5
2016237.9226.6–249.3281.5261.4–296.3
2017239.8227.5–249.4284.1263.2–297.8
2018242.6227–255283.4263.1–298.8
2019241.2228.5–251.9283.7262.9–302.4
2020242.6229.3–254.4286.3264.2–303.6
2021244.3230.4–254.4287.9266.9–302.3
2022243.8231.5–254.2289.6270.7–303.9
2023243.5229.2–254.5287.3270.5–303
2024245.7231.4–257.1291.5268.2–304.6
2025242.5229.4–253.9289.6269.1–304.8
2026243.9227.9–258.1289.7266.2–305.1
2027247.1232.8–259.3289.5269.1–303.7
2028244.2232.2–254.4291.2271.9–306
2029247.3232.7–261.5295.5276.3–309.6
2030243.9232.3–255.2292.2269.1–306.9
2031245.1232.9–262.3295.3274–308.9
2032247.6236.6–257.8296.8280.1–310.9
2033245.3231.7–256.6295.4273.3–308.5
2034246.3233.2–260.4294.3273.5–311.8
2035246.4234.1–260.9295.2274.4–310.9
2036246.2228.6–260.4295.1278.2–307.8
2037247.7235.4–260.2299.9283.7–311.3
2038249232.1–261299.6283.5–312.1
2039250234.4–262.7296.9279.9–311
2040248.9235.5–260.5298.5279.4–311.9
2041248.3235.6–261.9301.4282.2–314.1
2042252.5237.8–265.3300.6277.8–314.7
2043250.8234.7–263.4298.2279.8–312.7
2044251.8239.1–265.2300.3281.2–315.6
2045250.3239.1–265.6299.9279.7–313.1
2046252.7238.9–267.8302.8285.8–316.6
2047253.9239.4–267.1303.3285–316.4
2048254.4242.7–270.5304.4287.3–317.3
2049253.7241.5–266.4305.4288.4–318.5
2050254.6242.5–269.2303.9283.9–316.2
2051254.7242.7–270.1305.7287.5–317.5
2052252.3240.2–264.6305.9290.6–318.8
2053256.9244–272.4305.3285.9–317.5
2054255.9243.5–269.4306.1288.4–319.3
2055255.2243.8–273.6306.4290.8–319.8
2056259.1243.6–274.7306.7288.3–321.1
2057257.5243.8–273.7306.4287.6–321.1
2058257.4245.6–274.2309291–321.4
2059258.3246.4–271.8310.4290.7–322.8
2060259.2246.1–272.6311.6294.4–325.1
2061257.7244.8–270.1307.5290.3–321.2
2062260.4246.4–274.2309291.5–322.8
2063259.9241.3–272.7310.8290.6–322.8
2064260.2245.9–273.1309.6290.2–321.1
2065259.8244.1–274.7311.1291.6–323.1
2066260246.6–274.6312.2294.2–324.2
2067261.4246.4–272.3310.9291.5–323.3
2068260.1245.8–274.8311.5293–324.5
2069263.3249.8–276.6310.6292.2–323.6
2070259.6245.8–272.6312.7293–325.3
2071262.2248.7–283.4311.5292.1–323.9
2072259.8248.6–276313.3297.8–325.5
2073264.1246.6–277.2313.8298.6–327.2
2074262.6248.3–276.6311.4292.4–323.5
2075263.6248.5–277.7310.9291.5–324.5
2076261.6251–276.9314.2294.4–327.7
2077264251.1–279.8315.1295.6–326.8
2078265251.6–281.6314.9296.3–327.1
2079263.8248.5–277.2313292.8–326.8
2080266.8251.9–280.3311.9294.7–325.4
2081266.5250.7–279.9313.5295.5–325.6
2082264249.6–277.3315296.8–327.1
2083266.6251.8–282.8315.7295.3–328.7
2084264.8253.1–284.2316.6298.5–327.9
2085265.4251.2–283.4317.4299.3–329.8
2086268.2252.8–285.3315.8294–328
2087265.7251.3–280.8316.5297.9–328.5
2088267.2252.6–284.4315.6297.3–328.8
2089267.1252.5–286.7315296.6–327.9
2090267.9254.9–283.4316298.9–330.3
2091267.7254.5–282.2317298.1–330.6
2092268.8253.6–281.7317.6298.7–330.7
2093268.1251.7–287316.3297.5–328.6
2094267.4251.3–287.4316.4300.2–327.5
2095270.8253.7–284.9319299.8–330.7
2096267.9250.5–285.8317.7299.5–330.8
2097269.3254.9–287.3316.9297.8–329
2098268.8252.4–284.9318.6299.9–331.9
2099269253–282.3318.1300–330.2
2100269.8254.8–284.9317.3298.4–330.3

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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。

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