孟加拉国与沙特阿拉伯对比

孟加拉国与沙特阿拉伯:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,沙特阿拉伯为 181.5 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 58.4 夜,是沙特阿拉伯的 1.32 倍。

每年夜数 · CMIP6

孟加拉国与沙特阿拉伯:热带夜2014 年热带夜:孟加拉国为 239.9 夜,沙特阿拉伯为 181.5 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 58.4 夜,是沙特阿拉伯的 1.32 倍。
孟加拉国沙特阿拉伯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,沙特阿拉伯为 218.7 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国沙特阿拉伯
2014239.9181.5
2013239180.4
2012240.4182.8
2011240.5182.7
2010241179.2
2009238.6177.1
2008236.7180.3
2007236.9178.9
2006238.9177.5
2005238.2177.9
2004238.7177.6
2003236.5177.4
2002237.6175.6
2001237.2178.1
2000239.3176.4
1999236.6173.2
1998235.5173.4
1997235.5173.8
1996235.5172
1995234.8169.2
1994233.6170.4
1993232.2164.6
1992228165.9
1991233.4169.2
1990234.6172.7
1989235.7168.9
1988235.1166.8
1987236.4167.3
1986233.8169.4
1985233.6166
1984236165
1983230163.5
1982232.3164.7
1981235.9168.9
1980233.4166.8
1979234.5165.3
1978231.8164.8
1977232.3165.6
1976232165.9
1975231.3161.2
1974232.9162.9
1973232.1163.7
1972234.3163.7
1971233.1160.4
1970232.5162.5
1969231.1161.3
1968229.7162.7
1967231.6159.5
1966232.6159.5
1965232.5159.5
1964229.3159.9
1963233.8160.2
1962231.9163.2
1961236.2163.7
1960232.5165.7
1959234.7164.4
1958233.5164.1
1957232.5165.5
1956234.3163.6
1955230.2162
1954232.9161.2
1953234162.5
1952230.3163.4
1951233.5161.2
1950233.9161.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国沙特阿拉伯
2015241.2227–252.4184.9169.4–198.7
2016237.9226.6–249.3183167.7–195.7
2017239.8227.5–249.4182.6168.1–196.7
2018242.6227–255186.8173.1–199.4
2019241.2228.5–251.9184.1168.8–199.1
2020242.6229.3–254.4185.3171.8–198.9
2021244.3230.4–254.4188.6173.6–202.8
2022243.8231.5–254.2187.6170.7–202
2023243.5229.2–254.5188.6173–203.8
2024245.7231.4–257.1187.1172.9–203.9
2025242.5229.4–253.9191.5176–206.1
2026243.9227.9–258.1191.8177.1–205.5
2027247.1232.8–259.3191.2176.6–206.8
2028244.2232.2–254.4191.9175.5–205.1
2029247.3232.7–261.5192.2176.6–205.7
2030243.9232.3–255.2193.3178.4–206.3
2031245.1232.9–262.3194.7179.1–207.6
2032247.6236.6–257.8192.2175.2–206
2033245.3231.7–256.6192.6177.5–206.9
2034246.3233.2–260.4196.7181.6–213
2035246.4234.1–260.9196.5179.9–211.6
2036246.2228.6–260.4194.1180–209.7
2037247.7235.4–260.2197183.7–209.9
2038249232.1–261198.4182.3–213.3
2039250234.4–262.7198184.4–213.6
2040248.9235.5–260.5199.2182.1–212.7
2041248.3235.6–261.9197.7181.4–211.7
2042252.5237.8–265.3198.3181.2–217
2043250.8234.7–263.4198.2182.3–215.3
2044251.8239.1–265.2199.2185.5–213.5
2045250.3239.1–265.6202187.1–216.8
2046252.7238.9–267.8204.1185.3–219.4
2047253.9239.4–267.1204.1187.4–220
2048254.4242.7–270.5206.1190.7–220
2049253.7241.5–266.4201.6187.7–216.2
2050254.6242.5–269.2205.7190.2–219.3
2051254.7242.7–270.1204.3188.8–222.1
2052252.3240.2–264.6203.8189.6–218
2053256.9244–272.4203.8186.3–218.8
2054255.9243.5–269.4207.6188.3–222.3
2055255.2243.8–273.6207.8190.8–221
2056259.1243.6–274.7203.7186.6–220.1
2057257.5243.8–273.7207.5188.8–224.2
2058257.4245.6–274.2205.9189.2–221.4
2059258.3246.4–271.8207.3191.6–226.9
2060259.2246.1–272.6206.9192.7–222.8
2061257.7244.8–270.1206.5190.4–220.9
2062260.4246.4–274.2208.1189.4–228.3
2063259.9241.3–272.7210.4193–227.1
2064260.2245.9–273.1207.5191.9–223.3
2065259.8244.1–274.7208.9193.9–226.1
2066260246.6–274.6210.3194.9–228
2067261.4246.4–272.3210.9193.1–228.6
2068260.1245.8–274.8209.8194.6–228.6
2069263.3249.8–276.6208.9194.5–226.3
2070259.6245.8–272.6211.2191.2–229
2071262.2248.7–283.4215.1196.3–233.3
2072259.8248.6–276213.6195.3–229.3
2073264.1246.6–277.2213.7194.1–231.6
2074262.6248.3–276.6210.5191.9–229.3
2075263.6248.5–277.7212.1196.6–231.8
2076261.6251–276.9212.8194.8–230.3
2077264251.1–279.8215.1196.6–233.9
2078265251.6–281.6215.5197.6–230.7
2079263.8248.5–277.2213.6197–229
2080266.8251.9–280.3213.6197.1–233.9
2081266.5250.7–279.9214.7194.4–231.6
2082264249.6–277.3214198.9–230.9
2083266.6251.8–282.8214.2198.5–238
2084264.8253.1–284.2217.4197.4–233.1
2085265.4251.2–283.4217.4199.6–237.9
2086268.2252.8–285.3217197.4–237.4
2087265.7251.3–280.8217.3199.7–238.7
2088267.2252.6–284.4216.1198.2–243.1
2089267.1252.5–286.7217.6199.5–239
2090267.9254.9–283.4217.3198.5–239.2
2091267.7254.5–282.2218.5202.8–238.4
2092268.8253.6–281.7218.5198.5–241.6
2093268.1251.7–287216.6197.8–236.3
2094267.4251.3–287.4218.8202–236.9
2095270.8253.7–284.9219.4204.2–237.4
2096267.9250.5–285.8219.9197.7–239.6
2097269.3254.9–287.3216.7196.8–239.7
2098268.8252.4–284.9219.7199.6–241.3
2099269253–282.3216.8200.8–236.8
2100269.8254.8–284.9218.7202.3–241

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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

孟加拉国与沙特阿拉伯对比

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