布基纳法索与马达加斯加对比

布基纳法索与马达加斯加：热带夜

2014 年热带夜：布基纳法索为 306.2 夜，马达加斯加为 138.3 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 167.9 夜，是马达加斯加的 2.21 倍。

在地图上查看其变化

每年夜数 · CMIP6

布基纳法索与马达加斯加：热带夜2014 年热带夜：布基纳法索为 306.2 夜，马达加斯加为 138.3 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 167.9 夜，是马达加斯加的 2.21 倍。
布基纳法索马达加斯加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，马达加斯加为 198.5 夜。

逐年数据

每年夜数 · CMIP6

年份布基纳法索马达加斯加
2014306.2138.3
2013299.1138
2012307.8138.3
2011305136.8
2010303.3134.2
2009300.5133.5
2008301132.3
2007299.3133.1
2006298.1131.6
2005296.5130.3
2004294.5133.5
2003300.9131
2002297.7131.8
2001301.4131.7
2000295.9127.4
1999291.5128.4
1998290.8128.6
1997291.6125.3
1996287.9121.8
1995288.6123.3
1994285.2121.8
1993284.9116
1992283.1116.6
1991289.7124.9
1990292.7126.2
1989284.6124
1988284.4123.8
1987286.1122.8
1986289.8123.8
1985286.2120
1984284.2118.6
1983280.7116.5
1982284121.8
1981285.9122.1
1980282.6120.3
1979283.1120.7
1978283.8119.3
1977288.8119
1976280.6117.4
1975282.6116.5
1974280.3119.5
1973282.4119
1972280.9117
1971279.4116.3
1970283.1117
1969276.3116.3
1968279.9113.1
1967279.9113
1966276.7114.1
1965279.7112.2
1964277.3109.6
1963277.8109.7
1962283115.3
1961279.6118.5
1960284.1118.2
1959280.9119
1958279.2118.7
1957282.7117.6
1956281.5115.5
1955281.1116.6
1954283.2115.9
1953280.3116.4
1952277117.4
1951281.4116
1950276.6116.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份布基纳法索马达加斯加
2015301.5278.6–322.3142.8126.7–159.3
2016301.6278.8–316.1137.8122.2–156
2017304.7279.1–320.9143.1125.6–159.4
2018305.6287.7–324.5143.7125.9–160.3
2019299.1275.1–327.4143.4124.4–162.3
2020301.4280.4–326.7143.4125.2–159
2021306.3286.3–324.6145.4128.8–160.4
2022309.9284.7–326.3150.4133.4–165.2
2023303.9284.2–324.9149.7132.1–166
2024314.6290.4–329.4150.7131.4–167.9
2025309.1286.3–326.7149128.8–169.1
2026308.4284.8–333.8150.1127.4–169.9
2027309.4290.1–329.6151.8131.9–170.8
2028315.7291.3–332.1154.9137.7–173.1
2029312.7293.8–332.6155.7135.2–173.8
2030314.8294–329.7154.8136.4–171.3
2031318.3294.9–335.1158.1141.3–174.8
2032316.8288.4–334.4157.9136.2–178.4
2033319.5291.6–336.9158.9136.7–177.8
2034315290.8–331.4158.6140.6–179.6
2035316.3295.4–337161.1140.2–181.6
2036316.2292.5–340.3159.5139.4–177.1
2037320.9298–335.8165.8144.7–182.8
2038321.6302.1–336.1166.5149.3–183.9
2039316.9300.1–335.4164.1145.1–183.9
2040320.6297.4–338.4162.8144.5–184.8
2041319.7303.1–340.8165.8143.5–183.9
2042319.4297.9–340.3165.1144.3–188.4
2043319.5297.3–335.6165.6148.5–184.7
2044325.1301.2–341.9167.3145.8–187
2045320.6300.1–341.4166.9147.1–187.1
2046324.4302.8–338171.4149.6–193
2047324304.1–344.8171.7148.8–193.4
2048323.9307–341.3173.7151.7–193.6
2049330.1308–342.5172.2151.4–192.9
2050326.2302.4–342.3174.4150.5–193.6
2051325308.4–342.8175154.3–195.1
2052323.3305.7–342.2176153.8–196.7
2053326.1303.8–343.8176.6151.1–197.8
2054329.9306.2–346.3175.5152.8–199.2
2055326.1306.7–341.6179.2157.3–196.8
2056330.4305.8–346.1178.8156.5–199.7
2057332.8310.2–349.5177.7155.5–201
2058326.9308.7–346.1180.5158.9–202.4
2059330.9312.9–352.1181.8158.3–202.5
2060329.8309.1–348.3185.1159.5–207.8
2061330.4308.6–349.7180.6157.6–203.8
2062328.9306.7–344.4180.6157.1–205.6
2063333.4307.6–347.8185156.8–210.7
2064330.5311.7–352.2184.7159.1–205.7
2065331.3316.3–351.2183.8157.1–208.5
2066331.6311.1–348.1187.3159.6–211
2067331.4306.8–349.9184.9155.9–208.9
2068334.9313.7–353.8187.5161.7–211.1
2069332.4314.1–345.4187.5162–211.3
2070333.5312–349187.8160.4–213.6
2071335.3312.3–348.8190.7162.7–216.6
2072339.6318.4–350.6191.8168.2–215.8
2073333.6312.8–348191.4168.7–214.5
2074332.2311.4–348.7189.4162.6–217.7
2075333.1316.8–350.7189.3163.8–214.2
2076336.1315.6–349.7191.1164.3–214
2077339.7315.9–354.5191.9168.8–217.1
2078338.9318.9–348.4190.1166.5–219.3
2079335.1319.3–350.6190.1163.7–216.2
2080339.1316–355.1194.8167.7–219.4
2081336.1310.9–352.7191.7166.7–218.1
2082336.1315.8–351.3193.8169.2–216.7
2083337.4319.9–355.5194.6166.1–218.1
2084336318.8–355.3197.9170–219.7
2085339.7318.5–356.3197.8172.3–223.7
2086338.9318.1–353.1192.9169.6–220
2087338.2316.6–354.8195.2170.4–220.1
2088336.6315.1–351.8198.1165.1–225.5
2089335.9318.8–351.7196.3167.9–227.6
2090337.9315.4–354.2197.5172.4–228.1
2091338.3313.7–354.4199.2172.7–226.7
2092337.5312.4–353.6202.4170.7–226.6
2093341.4319.5–355.1202.1172.3–230.5
2094340.2317–355.9198.3168.6–224
2095338.6317.5–354.7200.7171.7–225.1
2096337.1318.6–358.2199.8173.6–226.3
2097336.6312.6–351.9201.2170–227.6
2098336.1315.6–354.2201.1170.7–227.2
2099337.9322.1–353.7198.3173.8–225.8
2100341.5313.9–356.9198.5173.3–227.7

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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