安哥拉与刚果（金）对比

安哥拉与刚果（金）：热带夜

2014 年热带夜：安哥拉为 61.1 夜，刚果（金）为 248.5 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 187.5 夜，是安哥拉的 4.07 倍。

在地图上查看其变化

每年夜数 · CMIP6

安哥拉与刚果（金）：热带夜2014 年热带夜：安哥拉为 61.1 夜，刚果（金）为 248.5 夜（CMIP6 气候模型中位数模拟）。 2014 年刚果（金）的数值较高，高出 187.5 夜，是安哥拉的 4.07 倍。
安哥拉刚果（金）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，刚果（金）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，刚果（金）为 324.1 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉刚果（金）
201461.1248.5
201362.3249.2
201263.6250.9
201159.9248.7
201058.9243.5
200956.9243
200854.5239.7
200754.6237.7
200654239
200553.8237.3
200455.8238.5
200355.3239.3
200253.2236.5
200155242.5
200051.4233.5
199948.1226.2
199850.5230.6
199747.9226.6
199643.2218.6
199543217.2
199441.6211.9
199335.9201.5
199235.3197.6
199145.5220.1
199046.7225.4
198943.8218.4
198842.7216.7
198742.7216.6
198642.7216.8
198539.3206.1
198438.2205.9
198337.8204.3
198240.8204.5
198142215.2
198039.9211.4
197939.1208.5
197838.6202.6
197738.6206.5
197636.8201.9
197538.1199
197437.4204
197338.7208.4
197236.6202.5
197136196.3
197036.6201.7
196936.5197.3
196834.5199
196732.4188.8
196634.3194.7
196534.2189
196431.5177.3
196330.5178.5
196237.6203.2
196137.3203.9
196038.7209.8
195938203.3
195837.3204.3
195738204
195635.1197.6
195537.5200.5
195436.5201
195336.2204.6
195237.3201.9
195137.4204.8
195036.5200.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份安哥拉刚果（金）
201567.946.7–89.4256.6217.3–277.7
201663.143.9–82.7247.7213.3–269.3
201768.248.7–87.9257.4226.6–278.3
201869.250.6–90.9258.8228.1–276.8
201969.547.5–97.7255.8222.6–278.7
20207351.1–97.1259.4227.4–282.3
202175.654.9–97.2262.6234.7–283.8
202278.758–105.7264.8235.1–288.5
202378.357.5–103.3263.9236.8–287.2
202483.457.6–108.1270.9237.9–290
202579.154–111.7266.1230.6–292.2
202682.455.4–117.5267.4226.8–294.5
202784.157.6–115.3268.6230.6–293.6
202885.862.6–117.4271.7239.7–295.9
20299165.8–120275.9249.3–296.6
203087.661.6–119.2270.4241.7–296.1
203192.363.9–122.5279.4246.6–297.5
20329566.1–124.5277.9249.4–302.3
203392.766.8–125276.9245.9–301.6
203491.466.7–131.8276.7247.4–305.6
203596.364.7–131.8281243.7–305.1
203695.964.2–129278.3244.7–304.9
2037103.870.4–136.7286.9256.1–308.6
2038105.376.7–136.8289261.5–307.1
203999.367–137.4284.7253.4–307.3
2040100.569.2–143.1284.5254.7–311.5
2041109.975.5–145.2289.9258.4–310.8
204210775.4–153.1286.9254.1–314.3
2043102.572.6–148.6285.9253–313
2044106.872.1–147.2288.3253.6–312.5
2045107.276.5–148.5289.4260.1–314.1
2046119.383.6–159.4298.3261.3–317.3
2047123.483.9–157.3298.5268.2–317.8
2048121.483.1–161.4299.1268–320.8
2049122.883.6–165.9300.3269.6–320.4
2050124.786.1–168.1297.8267.2–320.6
2051122.389.3–169.4298.4272.3–323.1
2052127.289.2–173.9300.2271.5–324
2053124.885.7–169.4298.7265.5–322.6
2054129.386.8–169.7300.6269.6–322.8
2055127.194.6–174.1301.9274.9–325.6
2056130.688.2–184.1302.1266.2–328.3
2057137.790.4–179.2305.1274.4–326.5
2058134.592.1–179.4305.3274.1–327.1
2059136.698.3–189.8305.4279–329.6
2060145.896.6–186.9310.7273.5–330.2
2061136.989.6–192.5307266.1–329.8
2062140.689.9–190308.8269.1–332
2063142.592.2–189.4308.4277.6–328.4
2064142.295.4–186.9310.6278.4–329.6
2065144.2101–193.2311.9282.4–331.2
2066144.2100.5–193.3310.4284.2–330.3
2067142.496.2–194.4308.8275.9–334
2068150.1103.4–196.7313.9280.8–334.6
2069145.898.5–197.6312.1270.6–332.7
2070143.196.6–202.5309.6278–334
2071151.7103.6–205.4312.6285–336.5
2072158.8110.5–197.3317287.7–334.6
2073159.8114–208.3316.2291.2–337.1
2074151.1103.1–205.9311.6284.5–334.9
2075148.7100.3–201.6312.3279.3–335.2
2076157.3106.3–204.8315.9288.7–337.1
2077161.8115.3–206.2318.5292.6–338.2
2078158.1114–211.5315287.3–337.1
2079158.3109.9–212.9314.8286.3–336
2080162.8109.6–212.5318.5286.8–337.8
2081161.1112.7–207.9318.4287.8–336.7
2082161.2114.4–207.5318.7289.8–336.5
2083159.9106–216.6317.4290.6–340.9
2084169.2117.7–215.2321.6293.8–339.8
2085175118.5–226324.4294.3–341.4
2086160.3115.4–221.3319290.7–340.7
2087162.4118.5–223.3318.3291.9–339.6
2088169.9116–218.4320.9292.9–340
2089166.9119.1–220322.1293.9–339.8
2090165.8119.6–223.4320.4295.5–341.7
2091175.2120.2–229.1325.4294.3–343.3
2092172.5119.9–228.5321.5294.4–342.4
2093169.9116.3–228.6323.1297.8–341.2
2094172.3118.2–221323.1296.5–341.1
2095179122.5–229.5325.6299.1–343.7
2096170.5117.6–228.9321.8296.2–344.1
2097169.6116.1–222.1321.5292.6–342
2098174.6115.2–234.3324.2295.1–342.8
2099170.7118.3–232.7322.8293.7–344.6
2100173.4123.5–231324.1292.1–344.1

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

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