布基纳法索与马拉维对比

布基纳法索与马拉维：热带夜

2014 年热带夜：布基纳法索为 306.2 夜，马拉维为 138.1 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 168.1 夜，是马拉维的 2.22 倍。

在地图上查看其变化

每年夜数 · CMIP6

布基纳法索与马拉维：热带夜2014 年热带夜：布基纳法索为 306.2 夜，马拉维为 138.1 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 168.1 夜，是马拉维的 2.22 倍。
布基纳法索马拉维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，马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索马拉维
2014306.2138.1
2013299.1138.9
2012307.8137.4
2011305136.6
2010303.3132.4
2009300.5131.4
2008301130.8
2007299.3132.8
2006298.1129.8
2005296.5129.5
2004294.5133.4
2003300.9132.5
2002297.7130.3
2001301.4134
2000295.9126.6
1999291.5124.8
1998290.8127.1
1997291.6124.2
1996287.9121.3
1995288.6120.9
1994285.2118.4
1993284.9113.8
1992283.1114.1
1991289.7120.9
1990292.7123.8
1989284.6120.5
1988284.4120.8
1987286.1118.8
1986289.8121.1
1985286.2115.7
1984284.2116.2
1983280.7115.5
1982284115.1
1981285.9119
1980282.6116.9
1979283.1117.7
1978283.8114.8
1977288.8117.2
1976280.6114
1975282.6114
1974280.3115.2
1973282.4114.7
1972280.9113.8
1971279.4114.1
1970283.1115.8
1969276.3114.3
1968279.9110
1967279.9109.8
1966276.7111
1965279.7111.5
1964277.3106.3
1963277.8107.5
1962283114.7
1961279.6116
1960284.1117.4
1959280.9115.6
1958279.2116.4
1957282.7114.6
1956281.5111.4
1955281.1115.2
1954283.2113.9
1953280.3113
1952277113.5
1951281.4113.5
1950276.6112.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份布基纳法索马拉维
2015301.5278.6–322.3145.7126.7–164.3
2016301.6278.8–316.1139.8122.6–157.4
2017304.7279.1–320.9143.6127–161.8
2018305.6287.7–324.5143.1124.6–162.6
2019299.1275.1–327.4143.8128.3–161.4
2020301.4280.4–326.7145127.3–165.8
2021306.3286.3–324.6145.3128–163.6
2022309.9284.7–326.3151130.1–169.1
2023303.9284.2–324.9149.2129.5–171.2
2024314.6290.4–329.4152.4130–172.6
2025309.1286.3–326.7151.1129.7–170.4
2026308.4284.8–333.8151.1126.2–173.8
2027309.4290.1–329.6154.4135.1–173.1
2028315.7291.3–332.1155.5134.6–174
2029312.7293.8–332.6159.8139.2–178.5
2030314.8294–329.7155.6138.7–174.5
2031318.3294.9–335.1161.1143.4–177.6
2032316.8288.4–334.4160.8141.3–181.3
2033319.5291.6–336.9161.3135.6–179.2
2034315290.8–331.4160.9138.9–185
2035316.3295.4–337164.3140.4–189.5
2036316.2292.5–340.3163.8137.6–182.5
2037320.9298–335.8166.9144.6–189.2
2038321.6302.1–336.1172.2148.4–191.2
2039316.9300.1–335.4164.8147.3–188.2
2040320.6297.4–338.4164.4146.4–189.7
2041319.7303.1–340.8169.3143.7–192.5
2042319.4297.9–340.3169.8146.3–197.8
2043319.5297.3–335.6167.5147.1–193.2
2044325.1301.2–341.9172.6148.3–197
2045320.6300.1–341.4170.4153.1–194.7
2046324.4302.8–338176.3151.2–203.1
2047324304.1–344.8178.7157.8–200.9
2048323.9307–341.3180.7158.9–204.1
2049330.1308–342.5176.7154–205.4
2050326.2302.4–342.3180.4155.2–204.9
2051325308.4–342.8182.9162.1–207.4
2052323.3305.7–342.2184.9163.2–209.6
2053326.1303.8–343.8177.2149.6–207.4
2054329.9306.2–346.3185.1157.1–208
2055326.1306.7–341.6186.1159.2–212.6
2056330.4305.8–346.1184.6158.5–214.3
2057332.8310.2–349.5184.7159.3–212.3
2058326.9308.7–346.1188.5163.8–214.7
2059330.9312.9–352.1189.8166.9–218.5
2060329.8309.1–348.3192.6163.4–218.1
2061330.4308.6–349.7186.4158.8–216.8
2062328.9306.7–344.4192.3163.9–218.6
2063333.4307.6–347.8189.2165.2–220.3
2064330.5311.7–352.2197161.3–218
2065331.3316.3–351.2193.1165.8–225.2
2066331.6311.1–348.1201170.1–224.7
2067331.4306.8–349.9193.1164.2–223.7
2068334.9313.7–353.8198.6163.7–227.1
2069332.4314.1–345.4199.4165.8–225
2070333.5312–349198.7168–226.7
2071335.3312.3–348.8199.3167.9–233.5
2072339.6318.4–350.6202.3173.2–226.2
2073333.6312.8–348205.4168.2–233.4
2074332.2311.4–348.7198.2175.4–227.7
2075333.1316.8–350.7199.6168.9–228.3
2076336.1315.6–349.7198.8169.8–225.2
2077339.7315.9–354.5202172.2–231.2
2078338.9318.9–348.4203.5175.8–232.1
2079335.1319.3–350.6203.6172.2–236.1
2080339.1316–355.1204.7172.2–234.3
2081336.1310.9–352.7202.2174.9–231.3
2082336.1315.8–351.3204.3178.3–228.6
2083337.4319.9–355.5205.8170.7–238.3
2084336318.8–355.3208.1175.9–235.6
2085339.7318.5–356.3211.1179.4–241
2086338.9318.1–353.1203.3175.4–237
2087338.2316.6–354.8205.3181.2–237.7
2088336.6315.1–351.8211.6174.7–240.6
2089335.9318.8–351.7208.9180.5–237.8
2090337.9315.4–354.2209.4173.4–243
2091338.3313.7–354.4214.3179.7–244.8
2092337.5312.4–353.6213.2176.8–242.3
2093341.4319.5–355.1212.5177.8–242.2
2094340.2317–355.9211.8179.7–241.5
2095338.6317.5–354.7216.9185–243.8
2096337.1318.6–358.2213.1182–247.6
2097336.6312.6–351.9210.8174.9–242.1
2098336.1315.6–354.2214.4181.5–242.2
2099337.9322.1–353.7213.5181.9–244.1
2100341.5313.9–356.9213.3181.5–246.3

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

布基纳法索与马拉维对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境