布基纳法索与马里对比

布基纳法索与马里：热带夜

2014 年热带夜：布基纳法索为 306.2 夜，马里为 250.2 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 56 夜，是马里的 1.22 倍。

在地图上查看其变化

每年夜数 · CMIP6

布基纳法索与马里：热带夜2014 年热带夜：布基纳法索为 306.2 夜，马里为 250.2 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 56 夜，是马里的 1.22 倍。
布基纳法索马里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 1950 年以来，在两国都有数据的每一年，布基纳法索的数值都更高。
  • 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，马里为 283.6 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索马里
2014306.2250.2
2013299.1247.3
2012307.8253.1
2011305251.9
2010303.3250.4
2009300.5248
2008301247.8
2007299.3248.1
2006298.1245.5
2005296.5244.3
2004294.5243.9
2003300.9247.1
2002297.7245.8
2001301.4245.6
2000295.9243.2
1999291.5242.4
1998290.8240.6
1997291.6240.7
1996287.9236.4
1995288.6238
1994285.2236.2
1993284.9235.1
1992283.1232
1991289.7238.7
1990292.7241
1989284.6236.3
1988284.4234.7
1987286.1236.1
1986289.8237.1
1985286.2235.3
1984284.2233
1983280.7231.2
1982284234.9
1981285.9233.9
1980282.6231.5
1979283.1233.8
1978283.8234.8
1977288.8233.6
1976280.6231.7
1975282.6232.4
1974280.3229.7
1973282.4230.3
1972280.9230.7
1971279.4229.5
1970283.1229.9
1969276.3227.3
1968279.9230.5
1967279.9229
1966276.7228.1
1965279.7230.2
1964277.3228.9
1963277.8228.2
1962283231.7
1961279.6231.6
1960284.1235.1
1959280.9231.8
1958279.2231.8
1957282.7233.3
1956281.5230.7
1955281.1230.6
1954283.2232
1953280.3228.3
1952277229.2
1951281.4231.4
1950276.6228.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份布基纳法索马里
2015301.5278.6–322.3247.9231.5–264.7
2016301.6278.8–316.1248231.3–262.6
2017304.7279.1–320.9252.7233.6–268.2
2018305.6287.7–324.5254.2236.4–269
2019299.1275.1–327.4251.6233.5–272.3
2020301.4280.4–326.7251.3231.2–270.7
2021306.3286.3–324.6254.8238.5–270
2022309.9284.7–326.3257237.8–275.3
2023303.9284.2–324.9254.2239.6–269.2
2024314.6290.4–329.4259.3242.3–276.8
2025309.1286.3–326.7256.2239.2–272.3
2026308.4284.8–333.8256.8237.2–277.8
2027309.4290.1–329.6258.5240.3–273.1
2028315.7291.3–332.1259.7243.6–273.9
2029312.7293.8–332.6260.8240.3–275.3
2030314.8294–329.7258.1237.5–272.6
2031318.3294.9–335.1262.2243.4–280.6
2032316.8288.4–334.4260.5242.1–278.2
2033319.5291.6–336.9262.1241.7–280.3
2034315290.8–331.4260.7242–275.3
2035316.3295.4–337261.5244.8–283.6
2036316.2292.5–340.3262.5244.6–281.1
2037320.9298–335.8264.5245.2–279.6
2038321.6302.1–336.1266246.7–283.2
2039316.9300.1–335.4262.3245–281.6
2040320.6297.4–338.4263.6247.5–279.6
2041319.7303.1–340.8264.6250.8–283.1
2042319.4297.9–340.3265.7245.9–283.5
2043319.5297.3–335.6264.8246.9–278.8
2044325.1301.2–341.9269.3247.4–284.7
2045320.6300.1–341.4265.6248.9–283.7
2046324.4302.8–338269.8247.5–286.4
2047324304.1–344.8271.9251.2–290.3
2048323.9307–341.3270.4254.4–288.2
2049330.1308–342.5272252.1–288.2
2050326.2302.4–342.3269.5250.6–286.4
2051325308.4–342.8268.8251.7–286.9
2052323.3305.7–342.2270.1252.7–292.1
2053326.1303.8–343.8269.3249.2–288.8
2054329.9306.2–346.3270.3251.7–290.6
2055326.1306.7–341.6270.9252.7–288.1
2056330.4305.8–346.1273248.6–291.4
2057332.8310.2–349.5275.5255.2–295
2058326.9308.7–346.1271252.7–293.2
2059330.9312.9–352.1274.5259.3–299.6
2060329.8309.1–348.3273.5258–293.7
2061330.4308.6–349.7275.4257–298
2062328.9306.7–344.4270.8251.7–291.8
2063333.4307.6–347.8275.9256.6–292.2
2064330.5311.7–352.2276.4256.6–298.4
2065331.3316.3–351.2275.3256–295.1
2066331.6311.1–348.1276.9260–296.5
2067331.4306.8–349.9272.6255.4–293.3
2068334.9313.7–353.8277.5258.1–296.5
2069332.4314.1–345.4276.1257.7–293.3
2070333.5312–349277.2256.6–296.6
2071335.3312.3–348.8277.2258.4–295.6
2072339.6318.4–350.6281.9263.8–298.9
2073333.6312.8–348276.8257.9–296.8
2074332.2311.4–348.7277.7258.7–295.9
2075333.1316.8–350.7278.5260.1–298.5
2076336.1315.6–349.7278.1261.1–294.2
2077339.7315.9–354.5283.8263.1–302.3
2078338.9318.9–348.4283.8263.5–299.4
2079335.1319.3–350.6278.9259.2–300.6
2080339.1316–355.1281.2262.1–299.4
2081336.1310.9–352.7279.1259.3–301.8
2082336.1315.8–351.3280.2260.2–298.4
2083337.4319.9–355.5280.8260.8–302.3
2084336318.8–355.3280.4263.8–301
2085339.7318.5–356.3284.6259.2–303
2086338.9318.1–353.1281.9262.8–302.4
2087338.2316.6–354.8279.7258.8–302.8
2088336.6315.1–351.8282.3260.7–303.3
2089335.9318.8–351.7283.4262.4–300.5
2090337.9315.4–354.2283.9259.8–301.9
2091338.3313.7–354.4283.1260.4–304.8
2092337.5312.4–353.6281.6259.7–303.1
2093341.4319.5–355.1284.8265.8–305.4
2094340.2317–355.9284.6262.8–305.6
2095338.6317.5–354.7283.6262–304.6
2096337.1318.6–358.2284.9263.3–306.3
2097336.6312.6–351.9280261–300.5
2098336.1315.6–354.2282.5262–302.1
2099337.9322.1–353.7285.3266.2–305.4
2100341.5313.9–356.9283.6262.8–304.1

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

布基纳法索与马里对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境