布基纳法索与南苏丹对比

布基纳法索与南苏丹：热带夜

2014 年热带夜：布基纳法索为 306.2 夜，南苏丹为 343.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 37.5 夜，是布基纳法索的 1.12 倍。

在地图上查看其变化

每年夜数 · CMIP6

布基纳法索与南苏丹：热带夜2014 年热带夜：布基纳法索为 306.2 夜，南苏丹为 343.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 37.5 夜，是布基纳法索的 1.12 倍。
布基纳法索南苏丹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，南苏丹的数值都更高。
  • 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，南苏丹为 361.1 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索南苏丹
2014306.2343.7
2013299.1342.1
2012307.8342.8
2011305343.3
2010303.3341.9
2009300.5338.8
2008301339.8
2007299.3336.9
2006298.1339
2005296.5336.8
2004294.5336.6
2003300.9338.9
2002297.7336.6
2001301.4338.7
2000295.9334.6
1999291.5331.8
1998290.8333.6
1997291.6334.5
1996287.9330.7
1995288.6329.6
1994285.2328.2
1993284.9321.9
1992283.1321.5
1991289.7329.1
1990292.7332.6
1989284.6329
1988284.4330.5
1987286.1328.8
1986289.8330.4
1985286.2327.1
1984284.2324.1
1983280.7322.8
1982284322.8
1981285.9329.9
1980282.6326.5
1979283.1325.3
1978283.8324.1
1977288.8325
1976280.6322.6
1975282.6320.8
1974280.3320.1
1973282.4325.4
1972280.9324.7
1971279.4319.9
1970283.1322.3
1969276.3318.5
1968279.9318.3
1967279.9315.6
1966276.7317.2
1965279.7316.5
1964277.3312.9
1963277.8309.8
1962283323.9
1961279.6323.3
1960284.1324.8
1959280.9321.5
1958279.2320.2
1957282.7322.1
1956281.5319.5
1955281.1317
1954283.2322.4
1953280.3321.6
1952277322.4
1951281.4323.9
1950276.6318.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份布基纳法索南苏丹
2015301.5278.6–322.3342.7327.5–353.3
2016301.6278.8–316.1342.1325.1–351.1
2017304.7279.1–320.9344.5326.9–353.7
2018305.6287.7–324.5344.1324.9–353.7
2019299.1275.1–327.4344.5324–354.2
2020301.4280.4–326.7344.9326.9–355.6
2021306.3286.3–324.6347.3329.2–355.3
2022309.9284.7–326.3344.5326.1–355.5
2023303.9284.2–324.9347.2329.2–357
2024314.6290.4–329.4350.4331.6–357.9
2025309.1286.3–326.7347.1330.2–357.7
2026308.4284.8–333.8347.6329.5–356.7
2027309.4290.1–329.6346327.1–356.1
2028315.7291.3–332.1349.4333.5–357.3
2029312.7293.8–332.6348.6337.5–355.6
2030314.8294–329.7349.3335.5–357.2
2031318.3294.9–335.1351.3336.3–357.6
2032316.8288.4–334.4348.6333.6–357.7
2033319.5291.6–336.9350.8336.7–359.4
2034315290.8–331.4350.2337.5–358.3
2035316.3295.4–337352.3331–359.5
2036316.2292.5–340.3352340.8–359.1
2037320.9298–335.8351.9337.4–359.5
2038321.6302.1–336.1354.3341.9–359.6
2039316.9300.1–335.4353.8340.6–360
2040320.6297.4–338.4353.5338.7–360.2
2041319.7303.1–340.8353.2336.9–360.2
2042319.4297.9–340.3351.9336.9–360.3
2043319.5297.3–335.6353.2336.2–359.5
2044325.1301.2–341.9353.7339.9–361.1
2045320.6300.1–341.4353.7342.2–360.6
2046324.4302.8–338355.4342.2–361
2047324304.1–344.8355.7344–361.2
2048323.9307–341.3354.7342.5–361.6
2049330.1308–342.5356.7346.4–361.1
2050326.2302.4–342.3356.8345.6–361.7
2051325308.4–342.8356345.4–361.8
2052323.3305.7–342.2355.3343.8–362.2
2053326.1303.8–343.8355.5343.4–361.7
2054329.9306.2–346.3356.9345.2–362.1
2055326.1306.7–341.6356.9345–361.7
2056330.4305.8–346.1356.7345.7–363.1
2057332.8310.2–349.5358.4349.2–362.6
2058326.9308.7–346.1357.7345–361.8
2059330.9312.9–352.1358.6348.4–362.6
2060329.8309.1–348.3357.7344.7–363.8
2061330.4308.6–349.7358.2345.8–362.7
2062328.9306.7–344.4357.4345.2–363.1
2063333.4307.6–347.8358.8347.3–362.6
2064330.5311.7–352.2358.9348.4–363.3
2065331.3316.3–351.2359.1351.1–362.9
2066331.6311.1–348.1359.2350.6–363.1
2067331.4306.8–349.9358.6347.6–363.3
2068334.9313.7–353.8359.9350.3–364.4
2069332.4314.1–345.4357.6347–363.1
2070333.5312–349359.5350.4–363
2071335.3312.3–348.8359.6350.5–363.2
2072339.6318.4–350.6360.2348.4–364.2
2073333.6312.8–348359.3350.3–363.5
2074332.2311.4–348.7359.5348–363.3
2075333.1316.8–350.7359.9348.5–363.4
2076336.1315.6–349.7359.4350.5–364
2077339.7315.9–354.5359.9352.2–363.7
2078338.9318.9–348.4360351.2–363.4
2079335.1319.3–350.6359.8350.9–363.3
2080339.1316–355.1361.3349.8–364.6
2081336.1310.9–352.7360.4350.5–363.9
2082336.1315.8–351.3360.3351–363.3
2083337.4319.9–355.5360351.1–363.8
2084336318.8–355.3360.8350.8–364.9
2085339.7318.5–356.3361352.3–363.7
2086338.9318.1–353.1360.4352.5–364.1
2087338.2316.6–354.8359.7347.8–363.8
2088336.6315.1–351.8360.3352.2–364.7
2089335.9318.8–351.7360.2352.3–363.8
2090337.9315.4–354.2360.2351.3–363.9
2091338.3313.7–354.4360.9351.6–364.1
2092337.5312.4–353.6360.7352.4–364.7
2093341.4319.5–355.1361.6354.1–363.9
2094340.2317–355.9361.3353.8–364.3
2095338.6317.5–354.7361.5353.2–364
2096337.1318.6–358.2361.1352.8–365.1
2097336.6312.6–351.9360.7351.9–364.2
2098336.1315.6–354.2361.5352.6–364.1
2099337.9322.1–353.7361.2352.4–364.1
2100341.5313.9–356.9361.1352.6–364.2

分别查看各国

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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