孟加拉国与坦桑尼亚对比

孟加拉国与坦桑尼亚:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 133.6 夜,是坦桑尼亚的 2.26 倍。

每年夜数 · CMIP6

孟加拉国与坦桑尼亚:热带夜2014 年热带夜:孟加拉国为 239.9 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 133.6 夜,是坦桑尼亚的 2.26 倍。
孟加拉国坦桑尼亚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,坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国坦桑尼亚
2014239.9106.3
2013239105.5
2012240.4108.4
2011240.5109
2010241103.9
2009238.6101.1
2008236.7100.3
2007236.999.5
2006238.9100.4
2005238.298.7
2004238.7100.4
2003236.599.6
2002237.698.4
2001237.2101.5
2000239.394.9
1999236.694.2
1998235.596.8
1997235.593.5
1996235.589.6
1995234.888.5
1994233.685.4
1993232.281.2
199222880.1
1991233.489.6
1990234.691.1
1989235.789.1
1988235.187.6
1987236.488.5
1986233.889.4
1985233.683
198423683.1
198323082.1
1982232.384.8
1981235.988
1980233.485
1979234.585.5
1978231.882.9
1977232.384.1
197623281
1975231.380.8
1974232.982.2
1973232.183.6
1972234.381.4
1971233.180.7
1970232.581.8
1969231.179.5
1968229.779.1
1967231.677.5
1966232.678.1
1965232.578
1964229.373.8
1963233.873.1
1962231.981.1
1961236.282.6
1960232.583.9
1959234.781.4
1958233.582.1
1957232.580.9
1956234.380
1955230.281.6
1954232.981.4
195323480.6
1952230.381.4
1951233.582.1
1950233.980.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国坦桑尼亚
2015241.2227–252.4114.895.2–137.4
2016237.9226.6–249.3108.391.6–125.6
2017239.8227.5–249.4114.893.6–137.8
2018242.6227–255116.497.4–137.1
2019241.2228.5–251.9113.495.2–133.2
2020242.6229.3–254.4119.396.2–143.5
2021244.3230.4–254.4119.5100.9–147.1
2022243.8231.5–254.2124.4105.3–147.4
2023243.5229.2–254.5122.1102.1–147.8
2024245.7231.4–257.1126.2100–150.1
2025242.5229.4–253.9124.6100.9–154
2026243.9227.9–258.1126.999.1–155.6
2027247.1232.8–259.3128102.9–147.7
2028244.2232.2–254.4129.9106.4–152.1
2029247.3232.7–261.5134.1111–156.5
2030243.9232.3–255.2129.4106.4–151.1
2031245.1232.9–262.3136.4115.9–158.4
2032247.6236.6–257.8135.1114–166.8
2033245.3231.7–256.6135.2110.9–161.9
2034246.3233.2–260.4134.7112.5–166.3
2035246.4234.1–260.9140.2114.6–165
2036246.2228.6–260.4137.8113.3–165.5
2037247.7235.4–260.2142.9121.5–168.9
2038249232.1–261147.9124.3–169.3
2039250234.4–262.7144.3117.6–171.3
2040248.9235.5–260.5140.5117–178
2041248.3235.6–261.9149.1121.7–175.6
2042252.5237.8–265.3146.3120.5–185.3
2043250.8234.7–263.4144.6117–173
2044251.8239.1–265.2147.7121.2–175.8
2045250.3239.1–265.6150.1125.2–183.4
2046252.7238.9–267.8161.5128.6–192.2
2047253.9239.4–267.1160.2129.7–194.4
2048254.4242.7–270.5158.8132.7–193.1
2049253.7241.5–266.4157.6131.1–196
2050254.6242.5–269.2159.7127.8–192
2051254.7242.7–270.1163.2135.5–197.8
2052252.3240.2–264.6161.9136.2–199.1
2053256.9244–272.4160.6127.5–197.7
2054255.9243.5–269.4163.2131.5–200.2
2055255.2243.8–273.6167.4137–208.3
2056259.1243.6–274.7166.4130.8–209.7
2057257.5243.8–273.7168134.6–208.3
2058257.4245.6–274.2168.7134.9–210.3
2059258.3246.4–271.8174.7144.9–219.5
2060259.2246.1–272.6181.7138.1–219.8
2061257.7244.8–270.1171.8135.5–218.1
2062260.4246.4–274.2177.5139.9–224
2063259.9241.3–272.7181.4140.1–213.8
2064260.2245.9–273.1185.3140.1–215.2
2065259.8244.1–274.7183.5141.1–221.8
2066260246.6–274.6181.9146.3–219.3
2067261.4246.4–272.3178.8138.8–229.2
2068260.1245.8–274.8186144.2–228.4
2069263.3249.8–276.6183.7141.7–225.3
2070259.6245.8–272.6180.7140.4–228.2
2071262.2248.7–283.4184.9146.9–235.2
2072259.8248.6–276191.3155–226.1
2073264.1246.6–277.2191.6152.4–235.6
2074262.6248.3–276.6183.3149.7–231.7
2075263.6248.5–277.7183.8144.8–233
2076261.6251–276.9191.1150.9–233.2
2077264251.1–279.8191.3152.6–238.2
2078265251.6–281.6189156.6–233.8
2079263.8248.5–277.2190.5147–237.3
2080266.8251.9–280.3197.3150.7–241.2
2081266.5250.7–279.9195.6153.4–237.4
2082264249.6–277.3194.5157.3–237.3
2083266.6251.8–282.8193.2151–249.8
2084264.8253.1–284.2201.1152.2–246.7
2085265.4251.2–283.4204.2162.3–252.3
2086268.2252.8–285.3195156–248.7
2087265.7251.3–280.8196.7160.8–244.5
2088267.2252.6–284.4208.4154.7–246.9
2089267.1252.5–286.7201.3158.6–248.2
2090267.9254.9–283.4197.9160.7–253.6
2091267.7254.5–282.2210161.6–256
2092268.8253.6–281.7205.8158.3–253.6
2093268.1251.7–287207.2161.2–251.9
2094267.4251.3–287.4207.9161.3–250.6
2095270.8253.7–284.9214.2166.4–258.5
2096267.9250.5–285.8205.3159.8–257.4
2097269.3254.9–287.3206.6158.4–256.8
2098268.8252.4–284.9209.1161–258.3
2099269253–282.3208.5160.1–256
2100269.8254.8–284.9208158.6–258.6

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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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