布基纳法索与尼日利亚对比

布基纳法索与尼日利亚:热带夜

2014 年热带夜:布基纳法索为 306.2 夜,尼日利亚为 303.9 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 2.3 夜,是尼日利亚的 1.01 倍。

每年夜数 · CMIP6

布基纳法索与尼日利亚:热带夜2014 年热带夜:布基纳法索为 306.2 夜,尼日利亚为 303.9 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 2.3 夜,是尼日利亚的 1.01 倍。
布基纳法索尼日利亚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 2014 年超过尼日利亚以来,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,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索尼日利亚
2014306.2303.9
2013299.1299.5
2012307.8304.4
2011305301.5
2010303.3301.4
2009300.5297.8
2008301297.4
2007299.3298
2006298.1297.2
2005296.5295.4
2004294.5294.1
2003300.9298.4
2002297.7295.2
2001301.4299.1
2000295.9293.9
1999291.5290.3
1998290.8289.9
1997291.6292.5
1996287.9290
1995288.6289.1
1994285.2287.4
1993284.9284
1992283.1281.6
1991289.7289.1
1990292.7290.6
1989284.6287.2
1988284.4288
1987286.1285.6
1986289.8289.1
1985286.2284.2
1984284.2284.4
1983280.7281.9
1982284283.5
1981285.9286.4
1980282.6282.8
1979283.1283
1978283.8282.8
1977288.8285.9
1976280.6281.7
1975282.6280.4
1974280.3280.7
1973282.4284.3
1972280.9284.1
1971279.4279.3
1970283.1282
1969276.3278.7
1968279.9279.6
1967279.9278.1
1966276.7279.4
1965279.7279
1964277.3276.8
1963277.8275.1
1962283284.1
1961279.6281.9
1960284.1285.9
1959280.9282.8
1958279.2281.4
1957282.7283.3
1956281.5280.8
1955281.1280.4
1954283.2284.1
1953280.3280.4
1952277280.8
1951281.4284.2
1950276.6279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布基纳法索尼日利亚
2015301.5278.6–322.3301.7282.9–317.3
2016301.6278.8–316.1301.4280.8–312.5
2017304.7279.1–320.9302.5284.3–316.3
2018305.6287.7–324.5302.2286.8–316.5
2019299.1275.1–327.4300.1281.2–318
2020301.4280.4–326.7303283.7–318.5
2021306.3286.3–324.6305.1287.1–318.4
2022309.9284.7–326.3305.1286–319.5
2023303.9284.2–324.9305286.4–318.9
2024314.6290.4–329.4310.6295.1–321.5
2025309.1286.3–326.7307.5292–319.4
2026308.4284.8–333.8306.9286.1–322.9
2027309.4290.1–329.6307.4288–321.7
2028315.7291.3–332.1310.7293.4–322.6
2029312.7293.8–332.6311.4293.3–324.4
2030314.8294–329.7310.6294.1–322.5
2031318.3294.9–335.1312.2295–324.8
2032316.8288.4–334.4310290–323.5
2033319.5291.6–336.9313292.9–327
2034315290.8–331.4311.7294.8–325.1
2035316.3295.4–337314.5296.7–327.7
2036316.2292.5–340.3313.5294.1–326.5
2037320.9298–335.8315.6297.9–327.1
2038321.6302.1–336.1316.9301.2–329.6
2039316.9300.1–335.4315.4299.4–328.2
2040320.6297.4–338.4315.6297.9–327.4
2041319.7303.1–340.8316.8300.6–330.2
2042319.4297.9–340.3316.3300.3–330.3
2043319.5297.3–335.6316298.4–326
2044325.1301.2–341.9317.9299.5–329.6
2045320.6300.1–341.4316.6300.5–330.4
2046324.4302.8–338317.8302.2–330.7
2047324304.1–344.8319.8301.5–333
2048323.9307–341.3320.1302.4–331.7
2049330.1308–342.5320.7305.3–331.7
2050326.2302.4–342.3320.9304–335
2051325308.4–342.8321304.1–334.2
2052323.3305.7–342.2320.9303.9–333.5
2053326.1303.8–343.8320.9303.3–334.1
2054329.9306.2–346.3324.5304.5–338.2
2055326.1306.7–341.6322.2308.4–333.7
2056330.4305.8–346.1324.8305.8–336.3
2057332.8310.2–349.5326310.8–337.3
2058326.9308.7–346.1322.9307.4–334.2
2059330.9312.9–352.1325.7308.9–339
2060329.8309.1–348.3323.8307.5–337
2061330.4308.6–349.7324.4307.1–338.2
2062328.9306.7–344.4325.7308–339.3
2063333.4307.6–347.8326.6308.7–337
2064330.5311.7–352.2326.2311–339.8
2065331.3316.3–351.2327.6313.5–339.4
2066331.6311.1–348.1328.4311.3–339.6
2067331.4306.8–349.9326308.4–340.5
2068334.9313.7–353.8329.3311.2–342.9
2069332.4314.1–345.4326.6309.9–338.1
2070333.5312–349327.4312.6–340.7
2071335.3312.3–348.8329.1313–341.1
2072339.6318.4–350.6330.3315.9–342.1
2073333.6312.8–348326.3309.5–341
2074332.2311.4–348.7326.7311.4–341.4
2075333.1316.8–350.7328.9314.5–341.8
2076336.1315.6–349.7329.6313.4–342
2077339.7315.9–354.5332.5314.4–343.3
2078338.9318.9–348.4329.8312.8–342.1
2079335.1319.3–350.6329.6313.8–340.6
2080339.1316–355.1331.7314.1–344.8
2081336.1310.9–352.7329.3311.6–343.7
2082336.1315.8–351.3329.3313.3–341.4
2083337.4319.9–355.5330.4315–342.2
2084336318.8–355.3330.5311.9–344.2
2085339.7318.5–356.3332.7316.6–343.6
2086338.9318.1–353.1331.9316.3–343.6
2087338.2316.6–354.8330.7314.9–342.4
2088336.6315.1–351.8331.7313.2–342.7
2089335.9318.8–351.7331.1318.3–341.9
2090337.9315.4–354.2332.4312.7–343.9
2091338.3313.7–354.4333.3311–345.8
2092337.5312.4–353.6332.7313.8–345.7
2093341.4319.5–355.1334.2318.6–344.9
2094340.2317–355.9334.2317.3–345.6
2095338.6317.5–354.7333.8319.3–346.3
2096337.1318.6–358.2332.5317.4–346.7
2097336.6312.6–351.9331.8312.6–344.6
2098336.1315.6–354.2332.3316–343.7
2099337.9322.1–353.7333316.9–344.2
2100341.5313.9–356.9332.3318.5–345

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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

布基纳法索与尼日利亚对比

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