孟加拉国与伊朗对比

孟加拉国与伊朗：热带夜

2014 年热带夜：孟加拉国为 239.9 夜，伊朗为 90.8 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 149.1 夜，是伊朗的 2.64 倍。

在地图上查看其变化

每年夜数 · CMIP6

孟加拉国与伊朗：热带夜2014 年热带夜：孟加拉国为 239.9 夜，伊朗为 90.8 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 149.1 夜，是伊朗的 2.64 倍。
孟加拉国伊朗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，孟加拉国的数值都更高。
  • 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，伊朗为 124.4 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国伊朗
2014239.990.8
201323990.6
2012240.490.3
2011240.589.8
201024187
2009238.687.2
2008236.788
2007236.987.9
2006238.988.2
2005238.287.1
2004238.786.4
2003236.585.9
2002237.687.7
2001237.286.6
2000239.386.5
1999236.685.1
1998235.583.8
1997235.584.3
1996235.582.4
1995234.881.6
1994233.680.6
1993232.277.7
199222877
1991233.481.9
1990234.683.1
1989235.781.7
1988235.180.4
1987236.479.8
1986233.880.1
1985233.679.7
198423678.8
198323075.5
1982232.377.9
1981235.980.2
1980233.479.4
1979234.580.2
1978231.878.1
1977232.377.8
197623277.2
1975231.376.6
1974232.976.4
1973232.176.9
1972234.377.4
1971233.175
1970232.575.3
1969231.175.6
1968229.776.3
1967231.676.1
1966232.675.5
1965232.575.3
1964229.375.3
1963233.876.4
1962231.977.5
1961236.277.7
1960232.577.6
1959234.776.8
1958233.578.4
1957232.578.2
1956234.376.2
1955230.276.5
1954232.977.6
195323477.3
1952230.378.2
1951233.576.6
1950233.977.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份孟加拉国伊朗
2015241.2227–252.494.482.7–106
2016237.9226.6–249.394.183.1–105.3
2017239.8227.5–249.493.981.7–104
2018242.6227–25594.183–106.3
2019241.2228.5–251.995.183.4–105.8
2020242.6229.3–254.495.985.5–107.5
2021244.3230.4–254.497.286–107.7
2022243.8231.5–254.296.285.2–108.3
2023243.5229.2–254.598.485.7–110.6
2024245.7231.4–257.19885.1–110.5
2025242.5229.4–253.998.787.2–110.5
2026243.9227.9–258.199.186.7–111.7
2027247.1232.8–259.3100.288.7–112.1
2028244.2232.2–254.499.686.2–111.6
2029247.3232.7–261.599.386.7–109.9
2030243.9232.3–255.2100.889.8–111.6
2031245.1232.9–262.3102.990.1–114.8
2032247.6236.6–257.8101.289–113.9
2033245.3231.7–256.6102.889.9–115.1
2034246.3233.2–260.4104.690.7–117.3
2035246.4234.1–260.910592.1–116.2
2036246.2228.6–260.4103.591.4–115.2
2037247.7235.4–260.210693.1–119.4
2038249232.1–261105.993.2–116.5
2039250234.4–262.7104.392.9–116.6
2040248.9235.5–260.5105.592.3–118.4
2041248.3235.6–261.9104.892.5–116.4
2042252.5237.8–265.3107.793.4–120.7
2043250.8234.7–263.410692.9–118.8
2044251.8239.1–265.2106.893.6–121.2
2045250.3239.1–265.6108.795.1–121.8
2046252.7238.9–267.8109.296.1–121.9
2047253.9239.4–267.1110.596.9–123.3
2048254.4242.7–270.5111.498.6–124
2049253.7241.5–266.411095.7–123.4
2050254.6242.5–269.2112.199.6–125.1
2051254.7242.7–270.1111.797.6–124.1
2052252.3240.2–264.611298.3–126
2053256.9244–272.4111.597.5–124
2054255.9243.5–269.4111.899–126.3
2055255.2243.8–273.6114.6101.4–128
2056259.1243.6–274.7113.1100.2–126.2
2057257.5243.8–273.7113.899.9–128.9
2058257.4245.6–274.2114.2100–127.7
2059258.3246.4–271.8113.498.9–126.3
2060259.2246.1–272.6116.3100.3–129.5
2061257.7244.8–270.1115100.5–127.6
2062260.4246.4–274.2115.799.7–131.1
2063259.9241.3–272.7117103.7–130.3
2064260.2245.9–273.1115.1101.7–130.3
2065259.8244.1–274.7117.3102.8–132.3
2066260246.6–274.6117.7103.7–132.1
2067261.4246.4–272.3119103–133.5
2068260.1245.8–274.8118.1104.3–131.4
2069263.3249.8–276.6118.4103.8–133.2
2070259.6245.8–272.6118.2104.9–132.9
2071262.2248.7–283.4119.3105.1–135.3
2072259.8248.6–276119103.2–135.1
2073264.1246.6–277.2120.6104.9–137.7
2074262.6248.3–276.6119.1104.4–134.5
2075263.6248.5–277.7119.7105.9–135.5
2076261.6251–276.9118.9102.6–137
2077264251.1–279.8120.3104.3–135.3
2078265251.6–281.6119.2105.3–136
2079263.8248.5–277.2120.1103.2–135.6
2080266.8251.9–280.3120.4106.1–139.5
2081266.5250.7–279.9120.5104.3–137.1
2082264249.6–277.3122.5107.5–137.7
2083266.6251.8–282.8122.6105.8–140.4
2084264.8253.1–284.2123.7107.6–139.1
2085265.4251.2–283.4121.3106.6–140.6
2086268.2252.8–285.3122.1107.9–139.8
2087265.7251.3–280.8123.7108–140.7
2088267.2252.6–284.4124106.5–142.2
2089267.1252.5–286.7124.1109–139.7
2090267.9254.9–283.4122.5105.4–141.9
2091267.7254.5–282.2124.3108–140.5
2092268.8253.6–281.7125.5110.1–140
2093268.1251.7–287124.5109–139.3
2094267.4251.3–287.4125108.7–142.9
2095270.8253.7–284.9125.3108.5–141
2096267.9250.5–285.8125.8109–142.4
2097269.3254.9–287.3123.6106.9–141.8
2098268.8252.4–284.9125.8109.4–143.8
2099269253–282.3123.1107.8–140.1
2100269.8254.8–284.9124.4107.9–143.7

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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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