布基纳法索与塞内加尔对比

布基纳法索与塞内加尔:热带夜

2014 年热带夜:布基纳法索为 306.2 夜,塞内加尔为 302.1 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 4.1 夜,是塞内加尔的 1.01 倍。

每年夜数 · CMIP6

布基纳法索与塞内加尔:热带夜2014 年热带夜:布基纳法索为 306.2 夜,塞内加尔为 302.1 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 4.1 夜,是塞内加尔的 1.01 倍。
布基纳法索塞内加尔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 年超过塞内加尔以来,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,塞内加尔为 347.3 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索塞内加尔
2014306.2302.1
2013299.1300.9
2012307.8304.1
2011305302.1
2010303.3301.5
2009300.5302.1
2008301298.3
2007299.3298.5
2006298.1298.6
2005296.5298.1
2004294.5294.7
2003300.9296.1
2002297.7296
2001301.4298.9
2000295.9295
1999291.5293.2
1998290.8292.5
1997291.6288.5
1996287.9285.1
1995288.6285.9
1994285.2283.7
1993284.9282
1992283.1277.6
1991289.7286.7
1990292.7292.5
1989284.6282.1
1988284.4282.4
1987286.1281.8
1986289.8283
1985286.2278.1
1984284.2274.6
1983280.7276.3
1982284281.3
1981285.9277.9
1980282.6277.6
1979283.1281
1978283.8280.7
1977288.8278
1976280.6274.4
1975282.6278.4
1974280.3273.8
1973282.4274.5
1972280.9273.5
1971279.4273.4
1970283.1271.3
1969276.3271.6
1968279.9272.6
1967279.9275.4
1966276.7273.3
1965279.7272.8
1964277.3271.8
1963277.8272.8
1962283280.2
1961279.6276.9
1960284.1279.2
1959280.9277.4
1958279.2278.8
1957282.7274.4
1956281.5273.2
1955281.1273.4
1954283.2275
1953280.3271.7
1952277271
1951281.4272.9
1950276.6270.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布基纳法索塞内加尔
2015301.5278.6–322.3298.9275.9–321
2016301.6278.8–316.1302.7276.5–319
2017304.7279.1–320.9302.9285.4–318.6
2018305.6287.7–324.5305.6289.2–321.5
2019299.1275.1–327.4307.6280.6–328.1
2020301.4280.4–326.7305.2276.2–322.9
2021306.3286.3–324.6307.6286–325.6
2022309.9284.7–326.3312.9289.6–334.3
2023303.9284.2–324.9307.5292.2–328.6
2024314.6290.4–329.4313.2294.6–326.9
2025309.1286.3–326.7311.8289–329.4
2026308.4284.8–333.8308.3285.2–328.6
2027309.4290.1–329.6310.7287.8–330
2028315.7291.3–332.1316.3289.2–331.6
2029312.7293.8–332.6315.7291.2–334.2
2030314.8294–329.7311.5289.1–329.1
2031318.3294.9–335.1318.8296.3–335
2032316.8288.4–334.4316295.7–332.4
2033319.5291.6–336.9316.7289.6–336.4
2034315290.8–331.4315.4291.6–335.1
2035316.3295.4–337316.8291.1–335.3
2036316.2292.5–340.3320.8298.5–335.3
2037320.9298–335.8324.5303.1–337.7
2038321.6302.1–336.1323.5304.2–339.7
2039316.9300.1–335.4323.3300.9–337
2040320.6297.4–338.4322.4298.9–339.5
2041319.7303.1–340.8320.2300.1–343.6
2042319.4297.9–340.3320302.1–339.9
2043319.5297.3–335.6320.4303.7–340.4
2044325.1301.2–341.9326.9301.5–340.9
2045320.6300.1–341.4324.1304.1–340
2046324.4302.8–338325.9304.7–340.6
2047324304.1–344.8329301.4–347
2048323.9307–341.3331.1314.3–344.8
2049330.1308–342.5331.3308.3–343.7
2050326.2302.4–342.3327.6306.5–341.9
2051325308.4–342.8328307.1–344
2052323.3305.7–342.2325.4308.1–344.2
2053326.1303.8–343.8331.8304.9–347.2
2054329.9306.2–346.3330.1310.8–345.2
2055326.1306.7–341.6330.1305.5–344
2056330.4305.8–346.1331.4307.4–349.8
2057332.8310.2–349.5337306.4–351.5
2058326.9308.7–346.1333313.2–350.2
2059330.9312.9–352.1334315.6–353.5
2060329.8309.1–348.3334.5316.4–351.1
2061330.4308.6–349.7333.7307.5–352.9
2062328.9306.7–344.4333.3312.4–350.2
2063333.4307.6–347.8335.4313.2–352.8
2064330.5311.7–352.2335.4307.1–351.1
2065331.3316.3–351.2334.8314.1–352.8
2066331.6311.1–348.1337.3312.9–351
2067331.4306.8–349.9335.5309.9–349.9
2068334.9313.7–353.8335.5313.5–354
2069332.4314.1–345.4336.1316.9–351.8
2070333.5312–349333.3312.9–352.9
2071335.3312.3–348.8335.7321.1–351.9
2072339.6318.4–350.6342.3321–354.6
2073333.6312.8–348339.4320.1–356.1
2074332.2311.4–348.7335.9317.1–351.8
2075333.1316.8–350.7338.4320.7–354.1
2076336.1315.6–349.7338.7321.9–352
2077339.7315.9–354.5342.8314.8–357.3
2078338.9318.9–348.4343325.8–355.4
2079335.1319.3–350.6341.2322.3–357.6
2080339.1316–355.1340.9317.7–358.1
2081336.1310.9–352.7339.8315.5–357.1
2082336.1315.8–351.3341.6316.4–354.9
2083337.4319.9–355.5340.8324.8–356.9
2084336318.8–355.3340.4322.8–354.9
2085339.7318.5–356.3346.8325.6–357
2086338.9318.1–353.1341.7324.4–357.6
2087338.2316.6–354.8343.9325.9–357.7
2088336.6315.1–351.8341.5321.6–358.2
2089335.9318.8–351.7343.2324.3–355.2
2090337.9315.4–354.2342320.6–356
2091338.3313.7–354.4341.7319.8–356.4
2092337.5312.4–353.6339.7318.4–357.7
2093341.4319.5–355.1345326.8–356.4
2094340.2317–355.9344.4324.3–357.6
2095338.6317.5–354.7346.3320.6–359.4
2096337.1318.6–358.2344.4323.1–359.2
2097336.6312.6–351.9341.4321.3–353.8
2098336.1315.6–354.2345322.3–357
2099337.9322.1–353.7344.6322.7–357.5
2100341.5313.9–356.9347.3323.6–359.2

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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

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