孟加拉国与阿拉伯联合酋长国对比

孟加拉国与阿拉伯联合酋长国:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,阿拉伯联合酋长国为 215.2 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 24.7 夜,是阿拉伯联合酋长国的 1.11 倍。

每年夜数 · CMIP6

孟加拉国与阿拉伯联合酋长国:热带夜2014 年热带夜:孟加拉国为 239.9 夜,阿拉伯联合酋长国为 215.2 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 24.7 夜,是阿拉伯联合酋长国的 1.11 倍。
孟加拉国阿拉伯联合酋长国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,阿拉伯联合酋长国为 252 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国阿拉伯联合酋长国
2014239.9215.2
2013239215.5
2012240.4219.6
2011240.5218
2010241213.7
2009238.6212
2008236.7214.8
2007236.9215.8
2006238.9215.4
2005238.2212.2
2004238.7212.4
2003236.5213.4
2002237.6211.6
2001237.2211.6
2000239.3212.5
1999236.6211.7
1998235.5209.4
1997235.5210.8
1996235.5207.8
1995234.8206.6
1994233.6206.8
1993232.2204.2
1992228204.3
1991233.4206.7
1990234.6208.5
1989235.7205.9
1988235.1204
1987236.4203.6
1986233.8206.2
1985233.6204.1
1984236202.6
1983230200.4
1982232.3203.2
1981235.9205.1
1980233.4202.8
1979234.5203.2
1978231.8201.5
1977232.3202.2
1976232202.3
1975231.3199.3
1974232.9202
1973232.1200.9
1972234.3199.4
1971233.1197
1970232.5201.3
1969231.1199.8
1968229.7202.3
1967231.6197.7
1966232.6198
1965232.5200.5
1964229.3199.6
1963233.8197.9
1962231.9201.1
1961236.2200.6
1960232.5204.3
1959234.7202.6
1958233.5202.7
1957232.5203.2
1956234.3202.6
1955230.2201
1954232.9200.2
1953234200
1952230.3200.2
1951233.5198.9
1950233.9201.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国阿拉伯联合酋长国
2015241.2227–252.4221.6206.4–232
2016237.9226.6–249.3218.7207.6–229.7
2017239.8227.5–249.4218.3203.9–232.7
2018242.6227–255221.4209.2–237.6
2019241.2228.5–251.9218.7202.8–232.2
2020242.6229.3–254.4221.7206.9–233.5
2021244.3230.4–254.4224.6210.5–236.3
2022243.8231.5–254.2225.3206.9–235.7
2023243.5229.2–254.5225209.1–236.4
2024245.7231.4–257.1223.8205.2–240
2025242.5229.4–253.9226.3210.1–245
2026243.9227.9–258.1227.7214.2–244.9
2027247.1232.8–259.3227.6208.2–241.5
2028244.2232.2–254.4229.9210.9–241.3
2029247.3232.7–261.5225.1211–240
2030243.9232.3–255.2227.6216.2–240.9
2031245.1232.9–262.3229.3215.4–238.4
2032247.6236.6–257.8225.5211.9–240.5
2033245.3231.7–256.6224.2211.4–241.3
2034246.3233.2–260.4230.4213–245
2035246.4234.1–260.9231.6214.2–246.5
2036246.2228.6–260.4230217.2–247.1
2037247.7235.4–260.2232.6220.2–244.5
2038249232.1–261233.6213.5–248.4
2039250234.4–262.7231.4218.1–245.6
2040248.9235.5–260.5232.5214–246.4
2041248.3235.6–261.9230.4214.9–244.7
2042252.5237.8–265.3232.6213.3–249.6
2043250.8234.7–263.4233.9220.3–250.1
2044251.8239.1–265.2236.3223.3–250
2045250.3239.1–265.6236217.2–252
2046252.7238.9–267.8237.5219.3–255
2047253.9239.4–267.1240.9222.1–253
2048254.4242.7–270.5241.8226.1–256.9
2049253.7241.5–266.4233.7215.7–249.4
2050254.6242.5–269.2240.1226.8–250.9
2051254.7242.7–270.1240.9227.2–254.5
2052252.3240.2–264.6239.2228.3–256.1
2053256.9244–272.4241.4221.7–257.4
2054255.9243.5–269.4241.3223.5–256.1
2055255.2243.8–273.6240.5223.3–259.3
2056259.1243.6–274.7239.3220.5–258.9
2057257.5243.8–273.7242.2226.6–260.2
2058257.4245.6–274.2238.9224.7–255.4
2059258.3246.4–271.8244.2226.6–262.6
2060259.2246.1–272.6241227.4–255.2
2061257.7244.8–270.1239.9227.9–253.1
2062260.4246.4–274.2243.2227.3–264.4
2063259.9241.3–272.7245.3229.1–264.6
2064260.2245.9–273.1241.1225.2–258.6
2065259.8244.1–274.7244.3225.3–260.5
2066260246.6–274.6246230.8–261.7
2067261.4246.4–272.3245.4223–265.8
2068260.1245.8–274.8245.4232.6–266.7
2069263.3249.8–276.6244.6227.4–262.2
2070259.6245.8–272.6248.1225.9–266.5
2071262.2248.7–283.4248.6231–266
2072259.8248.6–276247.9230.2–267
2073264.1246.6–277.2247.9227.6–261.8
2074262.6248.3–276.6247.5227.3–270.8
2075263.6248.5–277.7251.8234.3–269.8
2076261.6251–276.9247.5228.7–266.1
2077264251.1–279.8252.9233.3–269.1
2078265251.6–281.6249.9234.1–264.7
2079263.8248.5–277.2247.6227.4–265.8
2080266.8251.9–280.3248232–267.9
2081266.5250.7–279.9250.7231–267.6
2082264249.6–277.3248.9235.3–266.8
2083266.6251.8–282.8248.6234.2–273.1
2084264.8253.1–284.2248.9228.9–268.2
2085265.4251.2–283.4253236.8–270.7
2086268.2252.8–285.3253.4234.9–273.3
2087265.7251.3–280.8252.9236.9–274.1
2088267.2252.6–284.4252.1231.1–276.1
2089267.1252.5–286.7253.4234.1–271.9
2090267.9254.9–283.4251.9236.4–274.5
2091267.7254.5–282.2254.8240.7–274.4
2092268.8253.6–281.7254.6232.1–275.1
2093268.1251.7–287250.9233.5–268.9
2094267.4251.3–287.4251.6236.6–270.8
2095270.8253.7–284.9252.4238.2–272
2096267.9250.5–285.8254.6236–272.6
2097269.3254.9–287.3251.4227.8–278
2098268.8252.4–284.9257.8237.5–278.8
2099269253–282.3252.5233.5–276.1
2100269.8254.8–284.9252236.2–276

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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

孟加拉国与阿拉伯联合酋长国对比

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