孟加拉国与肯尼亚对比

孟加拉国与肯尼亚:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 5.7 夜,是孟加拉国的 1.02 倍。

每年夜数 · CMIP6

孟加拉国与肯尼亚:热带夜2014 年热带夜:孟加拉国为 239.9 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 5.7 夜,是孟加拉国的 1.02 倍。
孟加拉国肯尼亚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 1997 年超过孟加拉国以来,肯尼亚的数值一直更高。
  • 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,肯尼亚为 277 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国肯尼亚
2014239.9245.6
2013239245.4
2012240.4244.7
2011240.5245
2010241243.8
2009238.6242.3
2008236.7240.3
2007236.9240.9
2006238.9241.5
2005238.2241.2
2004238.7241.8
2003236.5240.8
2002237.6240.7
2001237.2242
2000239.3239.5
1999236.6237.8
1998235.5239.2
1997235.5236.9
1996235.5234.2
1995234.8232.9
1994233.6231.9
1993232.2227.4
1992228224.8
1991233.4233.8
1990234.6236.4
1989235.7234.5
1988235.1233.1
1987236.4232.6
1986233.8233
1985233.6228.7
1984236230.2
1983230226.7
1982232.3230.6
1981235.9232.9
1980233.4231.3
1979234.5229.6
1978231.8228.7
1977232.3229.9
1976232227.8
1975231.3225.9
1974232.9230.5
1973232.1230.4
1972234.3228.7
1971233.1226
1970232.5226.3
1969231.1225.9
1968229.7222.9
1967231.6224
1966232.6225.2
1965232.5224.2
1964229.3221.8
1963233.8220.2
1962231.9227.2
1961236.2228.3
1960232.5228.8
1959234.7228.3
1958233.5229.1
1957232.5228
1956234.3225.5
1955230.2228.7
1954232.9227.4
1953234227.6
1952230.3228.5
1951233.5228.3
1950233.9226.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国肯尼亚
2015241.2227–252.4246.9232.3–256.1
2016237.9226.6–249.3244.9230.1–255
2017239.8227.5–249.4248.1233.1–257.7
2018242.6227–255248.7237–257.4
2019241.2228.5–251.9247.1234.8–256.7
2020242.6229.3–254.4248.6233.2–259.2
2021244.3230.4–254.4249.5236.3–258.1
2022243.8231.5–254.2251.5239.7–259.5
2023243.5229.2–254.5251.8239–260.8
2024245.7231.4–257.1254.2239.1–263
2025242.5229.4–253.9251.5238.1–261.8
2026243.9227.9–258.1252.2237.2–263.3
2027247.1232.8–259.3252.8238.4–263.8
2028244.2232.2–254.4254.9241.9–264.2
2029247.3232.7–261.5256243.4–264.6
2030243.9232.3–255.2253.6240.6–263.1
2031245.1232.9–262.3256244.7–264.4
2032247.6236.6–257.8257243.8–267.1
2033245.3231.7–256.6256241.8–265.9
2034246.3233.2–260.4256.2241.2–267.9
2035246.4234.1–260.9256.7243.3–266.7
2036246.2228.6–260.4256.2242.4–266.7
2037247.7235.4–260.2258.7245.9–268.4
2038249232.1–261260.3244.5–268.9
2039250234.4–262.7259244.4–268
2040248.9235.5–260.5258.3246.2–269.8
2041248.3235.6–261.9260.7244.8–271.2
2042252.5237.8–265.3260.3246.5–272.7
2043250.8234.7–263.4259246.6–270.5
2044251.8239.1–265.2261.2248.8–270.9
2045250.3239.1–265.6261.8248.7–272.9
2046252.7238.9–267.8264.8249.6–275.3
2047253.9239.4–267.1264.4249.8–275.3
2048254.4242.7–270.5264.2252.3–274.9
2049253.7241.5–266.4265.2252.8–275.6
2050254.6242.5–269.2263.9249.8–275.1
2051254.7242.7–270.1265.4252.1–275.1
2052252.3240.2–264.6266.3252.6–276.2
2053256.9244–272.4265.2251–275.4
2054255.9243.5–269.4265.2250.2–277.2
2055255.2243.8–273.6266.8251.6–277.6
2056259.1243.6–274.7266.2251.2–277.8
2057257.5243.8–273.7266.8253–278
2058257.4245.6–274.2266.7251.5–277.9
2059258.3246.4–271.8269.8254.7–280.5
2060259.2246.1–272.6271.1253.9–280.7
2061257.7244.8–270.1267.5253.9–281.7
2062260.4246.4–274.2268.1254–281.2
2063259.9241.3–272.7268.9255–280.1
2064260.2245.9–273.1270254.1–279.8
2065259.8244.1–274.7269.4255.8–282.3
2066260246.6–274.6270.6258.1–281
2067261.4246.4–272.3270.7256.1–283
2068260.1245.8–274.8270.2256–283
2069263.3249.8–276.6269.8256.1–283.3
2070259.6245.8–272.6270.1255.8–282.6
2071262.2248.7–283.4271.9257.9–284.4
2072259.8248.6–276273.5260.3–283.8
2073264.1246.6–277.2273.1259.9–285.4
2074262.6248.3–276.6271.9257.5–285.4
2075263.6248.5–277.7271.1256.5–284.7
2076261.6251–276.9274.1258.6–285.8
2077264251.1–279.8273.4259–286.6
2078265251.6–281.6273.1260–284.4
2079263.8248.5–277.2273.3258.7–286.6
2080266.8251.9–280.3275.5259.4–286.9
2081266.5250.7–279.9274.7259.8–285.6
2082264249.6–277.3274.8261.3–286.4
2083266.6251.8–282.8274259.6–289.3
2084264.8253.1–284.2276.8259–288.8
2085265.4251.2–283.4276.2261.5–289.1
2086268.2252.8–285.3275.1260–289.1
2087265.7251.3–280.8276.2260.3–288.5
2088267.2252.6–284.4276.8261.6–289.7
2089267.1252.5–286.7275.9260.3–288.8
2090267.9254.9–283.4275.3260.5–290.5
2091267.7254.5–282.2277.7260.4–290.9
2092268.8253.6–281.7276.2261.2–290.7
2093268.1251.7–287276.9262–290.1
2094267.4251.3–287.4277262.8–288.9
2095270.8253.7–284.9278.4262.3–290.4
2096267.9250.5–285.8277.6260.5–292
2097269.3254.9–287.3277261–290.2
2098268.8252.4–284.9277.6262.3–291.5
2099269253–282.3277.9260.8–292.4
2100269.8254.8–284.9277261.8–290.4

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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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