安哥拉与布基纳法索对比

安哥拉与布基纳法索：热带夜

2014 年热带夜：安哥拉为 61.1 夜，布基纳法索为 306.2 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 245.1 夜，是安哥拉的 5.02 倍。

安哥拉布基纳法索
在地图上查看其变化

每年夜数 · CMIP6

全部年份自 1990 年以来自 2010 年以来
数值变化
线性对数
预测
安哥拉与布基纳法索：热带夜2014 年热带夜：安哥拉为 61.1 夜，布基纳法索为 306.2 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 245.1 夜，是安哥拉的 5.02 倍。
安哥拉布基纳法索CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

最新数据

每年夜数 · CMIP6

国家最新10 年前预测值
安哥拉61.1 201455.8173.4 2100
布基纳法索306.2 2014294.5341.5 2100

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 年安哥拉为 173.4 夜，布基纳法索为 341.5 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉布基纳法索
201461.1306.2
201362.3299.1
201263.6307.8
201159.9305
201058.9303.3
200956.9300.5
200854.5301
200754.6299.3
200654298.1
200553.8296.5
200455.8294.5
200355.3300.9
200253.2297.7
200155301.4
200051.4295.9
199948.1291.5
199850.5290.8
199747.9291.6
199643.2287.9
199543288.6
199441.6285.2
199335.9284.9
199235.3283.1
199145.5289.7
199046.7292.7
198943.8284.6
198842.7284.4
198742.7286.1
198642.7289.8
198539.3286.2
198438.2284.2
198337.8280.7
198240.8284
198142285.9
198039.9282.6
197939.1283.1
197838.6283.8
197738.6288.8
197636.8280.6
197538.1282.6
197437.4280.3
197338.7282.4
197236.6280.9
197136279.4
197036.6283.1
196936.5276.3
196834.5279.9
196732.4279.9
196634.3276.7
196534.2279.7
196431.5277.3
196330.5277.8
196237.6283
196137.3279.6
196038.7284.1
195938280.9
195837.3279.2
195738282.7
195635.1281.5
195537.5281.1
195436.5283.2
195336.2280.3
195237.3277
195137.4281.4
195036.5276.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份安哥拉布基纳法索
201567.946.7–89.4301.5278.6–322.3
201663.143.9–82.7301.6278.8–316.1
201768.248.7–87.9304.7279.1–320.9
201869.250.6–90.9305.6287.7–324.5
201969.547.5–97.7299.1275.1–327.4
20207351.1–97.1301.4280.4–326.7
202175.654.9–97.2306.3286.3–324.6
202278.758–105.7309.9284.7–326.3
202378.357.5–103.3303.9284.2–324.9
202483.457.6–108.1314.6290.4–329.4
202579.154–111.7309.1286.3–326.7
202682.455.4–117.5308.4284.8–333.8
202784.157.6–115.3309.4290.1–329.6
202885.862.6–117.4315.7291.3–332.1
20299165.8–120312.7293.8–332.6
203087.661.6–119.2314.8294–329.7
203192.363.9–122.5318.3294.9–335.1
20329566.1–124.5316.8288.4–334.4
203392.766.8–125319.5291.6–336.9
203491.466.7–131.8315290.8–331.4
203596.364.7–131.8316.3295.4–337
203695.964.2–129316.2292.5–340.3
2037103.870.4–136.7320.9298–335.8
2038105.376.7–136.8321.6302.1–336.1
203999.367–137.4316.9300.1–335.4
2040100.569.2–143.1320.6297.4–338.4
2041109.975.5–145.2319.7303.1–340.8
204210775.4–153.1319.4297.9–340.3
2043102.572.6–148.6319.5297.3–335.6
2044106.872.1–147.2325.1301.2–341.9
2045107.276.5–148.5320.6300.1–341.4
2046119.383.6–159.4324.4302.8–338
2047123.483.9–157.3324304.1–344.8
2048121.483.1–161.4323.9307–341.3
2049122.883.6–165.9330.1308–342.5
2050124.786.1–168.1326.2302.4–342.3
2051122.389.3–169.4325308.4–342.8
2052127.289.2–173.9323.3305.7–342.2
2053124.885.7–169.4326.1303.8–343.8
2054129.386.8–169.7329.9306.2–346.3
2055127.194.6–174.1326.1306.7–341.6
2056130.688.2–184.1330.4305.8–346.1
2057137.790.4–179.2332.8310.2–349.5
2058134.592.1–179.4326.9308.7–346.1
2059136.698.3–189.8330.9312.9–352.1
2060145.896.6–186.9329.8309.1–348.3
2061136.989.6–192.5330.4308.6–349.7
2062140.689.9–190328.9306.7–344.4
2063142.592.2–189.4333.4307.6–347.8
2064142.295.4–186.9330.5311.7–352.2
2065144.2101–193.2331.3316.3–351.2
2066144.2100.5–193.3331.6311.1–348.1
2067142.496.2–194.4331.4306.8–349.9
2068150.1103.4–196.7334.9313.7–353.8
2069145.898.5–197.6332.4314.1–345.4
2070143.196.6–202.5333.5312–349
2071151.7103.6–205.4335.3312.3–348.8
2072158.8110.5–197.3339.6318.4–350.6
2073159.8114–208.3333.6312.8–348
2074151.1103.1–205.9332.2311.4–348.7
2075148.7100.3–201.6333.1316.8–350.7
2076157.3106.3–204.8336.1315.6–349.7
2077161.8115.3–206.2339.7315.9–354.5
2078158.1114–211.5338.9318.9–348.4
2079158.3109.9–212.9335.1319.3–350.6
2080162.8109.6–212.5339.1316–355.1
2081161.1112.7–207.9336.1310.9–352.7
2082161.2114.4–207.5336.1315.8–351.3
2083159.9106–216.6337.4319.9–355.5
2084169.2117.7–215.2336318.8–355.3
2085175118.5–226339.7318.5–356.3
2086160.3115.4–221.3338.9318.1–353.1
2087162.4118.5–223.3338.2316.6–354.8
2088169.9116–218.4336.6315.1–351.8
2089166.9119.1–220335.9318.8–351.7
2090165.8119.6–223.4337.9315.4–354.2
2091175.2120.2–229.1338.3313.7–354.4
2092172.5119.9–228.5337.5312.4–353.6
2093169.9116.3–228.6341.4319.5–355.1
2094172.3118.2–221340.2317–355.9
2095179122.5–229.5338.6317.5–354.7
2096170.5117.6–228.9337.1318.6–358.2
2097169.6116.1–222.1336.6312.6–351.9
2098174.6115.2–234.3336.1315.6–354.2
2099170.7118.3–232.7337.9322.1–353.7
2100173.4123.5–231341.5313.9–356.9

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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