布基纳法索与索马里对比

布基纳法索与索马里:热带夜

2014 年热带夜:布基纳法索为 306.2 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年布基纳法索的数值较高,高出 11 夜,是索马里的 1.04 倍。

每年夜数 · CMIP6

布基纳法索与索马里:热带夜2014 年热带夜:布基纳法索为 306.2 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年布基纳法索的数值较高,高出 11 夜,是索马里的 1.04 倍。
布基纳法索索马里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 1990 年超过索马里以来,布基纳法索的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布基纳法索为 341.5 夜,索马里为 328.2 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索索马里
2014306.2295.2
2013299.1296.8
2012307.8296.7
2011305297.1
2010303.3294.6
2009300.5293.5
2008301292.2
2007299.3293.3
2006298.1292.4
2005296.5292.3
2004294.5293.8
2003300.9293.5
2002297.7292.1
2001301.4292.4
2000295.9290.2
1999291.5288.6
1998290.8289.9
1997291.6288.8
1996287.9285
1995288.6285.2
1994285.2284.2
1993284.9280.2
1992283.1278.1
1991289.7286.6
1990292.7288.5
1989284.6285.1
1988284.4285.6
1987286.1282.5
1986289.8283.4
1985286.2279.6
1984284.2281.4
1983280.7277.1
1982284283.7
1981285.9282.5
1980282.6280
1979283.1280.4
1978283.8280.5
1977288.8282.9
1976280.6278.7
1975282.6276.8
1974280.3279.3
1973282.4280.8
1972280.9278.3
1971279.4278.2
1970283.1278.3
1969276.3276.8
1968279.9276.3
1967279.9274.3
1966276.7275.9
1965279.7275.2
1964277.3275.1
1963277.8272.9
1962283277.9
1961279.6280.3
1960284.1280.8
1959280.9278.8
1958279.2280.9
1957282.7280.3
1956281.5276.1
1955281.1280.1
1954283.2278.2
1953280.3277.2
1952277279.4
1951281.4279
1950276.6278.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布基纳法索索马里
2015301.5278.6–322.3299.3283.7–311
2016301.6278.8–316.1296.8282.3–308.3
2017304.7279.1–320.9299.6284.6–310.1
2018305.6287.7–324.5301.3287.9–310.2
2019299.1275.1–327.4299.1286.1–311.9
2020301.4280.4–326.7299.4285.3–310.3
2021306.3286.3–324.6302.4289.1–313.6
2022309.9284.7–326.3304.5289.7–314.6
2023303.9284.2–324.9304.1290.6–312.4
2024314.6290.4–329.4303.4290.1–317
2025309.1286.3–326.7303.1288.8–317.8
2026308.4284.8–333.8303.2288.7–315.4
2027309.4290.1–329.6303.8287.7–314.9
2028315.7291.3–332.1305.4291.3–316.8
2029312.7293.8–332.6307.8294–317.8
2030314.8294–329.7304.5289.6–314.9
2031318.3294.9–335.1307.4292.3–317.9
2032316.8288.4–334.4308.3292.4–319.6
2033319.5291.6–336.9307.2292–317.6
2034315290.8–331.4305.9292.3–321.2
2035316.3295.4–337308.7293.4–321.1
2036316.2292.5–340.3307.5295.4–317.7
2037320.9298–335.8310.1298.4–319.9
2038321.6302.1–336.1311.1296.4–323.2
2039316.9300.1–335.4308.6295.9–321.9
2040320.6297.4–338.4311.7295.9–324.2
2041319.7303.1–340.8312296.6–321.5
2042319.4297.9–340.3311.7295–325.7
2043319.5297.3–335.6312298–323.1
2044325.1301.2–341.9311.4297.3–323
2045320.6300.1–341.4312.3298.6–323
2046324.4302.8–338314.4299–327.7
2047324304.1–344.8315.8300.2–327.9
2048323.9307–341.3316.9302.8–327.5
2049330.1308–342.5314.9303.2–325.2
2050326.2302.4–342.3315.9300.6–324.5
2051325308.4–342.8314.9301.9–326.9
2052323.3305.7–342.2316.2301.6–329
2053326.1303.8–343.8314.8302.3–326.8
2054329.9306.2–346.3316.2301.5–330.1
2055326.1306.7–341.6317.4302.7–327.8
2056330.4305.8–346.1316.5302.9–332.3
2057332.8310.2–349.5316.8302.5–329.8
2058326.9308.7–346.1316.9300.7–330.9
2059330.9312.9–352.1320.8305.2–332.5
2060329.8309.1–348.3321.3305.7–331.9
2061330.4308.6–349.7317.8304.8–330.3
2062328.9306.7–344.4319.6304.3–336
2063333.4307.6–347.8320.9305.3–332
2064330.5311.7–352.2319.7306.8–330.5
2065331.3316.3–351.2318.3304.6–334.6
2066331.6311.1–348.1321307.9–333.9
2067331.4306.8–349.9320.5304.3–334.4
2068334.9313.7–353.8321.7305.6–336.3
2069332.4314.1–345.4322.3308.6–335.4
2070333.5312–349321.1305.3–335.6
2071335.3312.3–348.8324.5308.4–336.9
2072339.6318.4–350.6324.1308.2–334.1
2073333.6312.8–348323.7308.1–337.9
2074332.2311.4–348.7322306–334.6
2075333.1316.8–350.7323.6307.6–336.4
2076336.1315.6–349.7323.6309–333.3
2077339.7315.9–354.5324.2309.6–335.9
2078338.9318.9–348.4324.7310.1–333.7
2079335.1319.3–350.6323.2307.6–336.3
2080339.1316–355.1324.7310.6–337.8
2081336.1310.9–352.7323.2311.1–335.3
2082336.1315.8–351.3324.3309.4–336.4
2083337.4319.9–355.5323.6308.3–342.4
2084336318.8–355.3326.2309.4–337.5
2085339.7318.5–356.3327.7311.9–339.4
2086338.9318.1–353.1326.6311.1–340.2
2087338.2316.6–354.8327.3311.5–339.1
2088336.6315.1–351.8328.6308.2–341.6
2089335.9318.8–351.7326.7312–340.2
2090337.9315.4–354.2326.5311.7–339.5
2091338.3313.7–354.4328.6311.5–340.9
2092337.5312.4–353.6329.1312.2–341.8
2093341.4319.5–355.1327.3312.1–342.8
2094340.2317–355.9325.6312–336.2
2095338.6317.5–354.7329314–341.2
2096337.1318.6–358.2327.9311.6–341.9
2097336.6312.6–351.9325.6311–340
2098336.1315.6–354.2327.7311.4–341.1
2099337.9322.1–353.7327.3311.9–339.3
2100341.5313.9–356.9328.2313.4–341.2

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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

布基纳法索与索马里对比

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