安哥拉与喀麦隆对比

安哥拉与喀麦隆:热带夜

2014 年热带夜:安哥拉为 61.1 夜,喀麦隆为 238.7 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 177.6 夜,是安哥拉的 3.91 倍。

每年夜数 · CMIP6

安哥拉与喀麦隆:热带夜2014 年热带夜:安哥拉为 61.1 夜,喀麦隆为 238.7 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 177.6 夜,是安哥拉的 3.91 倍。
安哥拉喀麦隆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,喀麦隆的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,喀麦隆为 324.2 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉喀麦隆
201461.1238.7
201362.3236.7
201263.6242.2
201159.9237.6
201058.9230.4
200956.9226.6
200854.5223.1
200754.6222.1
200654220.1
200553.8216.1
200455.8217.6
200355.3221
200253.2215.5
200155223
200051.4210
199948.1200.5
199850.5203.5
199747.9202
199643.2190
199543187.3
199441.6183.1
199335.9165.2
199235.3156.7
199145.5192.6
199046.7200.7
198943.8187.5
198842.7185.8
198742.7182.7
198642.7188.9
198539.3173.2
198438.2172.9
198337.8165.5
198240.8176.3
198142182.6
198039.9173.6
197939.1175.8
197838.6172.8
197738.6175.7
197636.8164.5
197538.1159.5
197437.4166.8
197338.7170.4
197236.6165.2
197136161.3
197036.6164.4
196936.5160
196834.5157.8
196732.4147.9
196634.3156.5
196534.2151.6
196431.5143.1
196330.5145.9
196237.6171.8
196137.3167.2
196038.7176.2
195938166.5
195837.3169.2
195738168.2
195635.1160
195537.5163.7
195436.5167.6
195336.2168.2
195237.3165.7
195137.4172.8
195036.5162.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份安哥拉喀麦隆
201567.946.7–89.4242.2196.9–270.8
201663.143.9–82.7237.7192.1–259.9
201768.248.7–87.9245.8205.7–271.3
201869.250.6–90.9245.7208–270.5
201969.547.5–97.7243.7200.2–275.6
20207351.1–97.1246.4210.4–278
202175.654.9–97.2255.2220.2–279.6
202278.758–105.7255.8221–285.7
202378.357.5–103.3254.5221.7–284.1
202483.457.6–108.1263225.8–286.8
202579.154–111.7257.3222.7–293.9
202682.455.4–117.5260.4211.9–292
202784.157.6–115.3258.5223.8–291.5
202885.862.6–117.4266.9235.5–294.7
20299165.8–120269.9242.3–293.5
203087.661.6–119.2266.6229–293.5
203192.363.9–122.5273.2229.9–298.5
20329566.1–124.5269.8240.6–296.2
203392.766.8–125271.8235.6–303.4
203491.466.7–131.8268.1239.2–299.1
203596.364.7–131.8277.5241.5–302.7
203695.964.2–129275.7235.1–301.3
2037103.870.4–136.7283.5252.3–305.9
2038105.376.7–136.8285.8258–307.9
203999.367–137.4280.9250.4–305.8
2040100.569.2–143.1279.5252.1–310.6
2041109.975.5–145.2284.5254.6–309.9
204210775.4–153.1284.8253.6–313.2
2043102.572.6–148.6281.2251.4–309.8
2044106.872.1–147.2283.8244.4–312.3
2045107.276.5–148.5286.8253.7–311.4
2046119.383.6–159.4296.1260.6–318.1
2047123.483.9–157.3294.3260.7–316.6
2048121.483.1–161.4297.3265.6–318.1
2049122.883.6–165.9298.3267.8–318.1
2050124.786.1–168.1296.9267.9–322.7
2051122.389.3–169.4297.8266.7–319.9
2052127.289.2–173.9298.7270.1–322.3
2053124.885.7–169.4297.7261.3–321.7
2054129.386.8–169.7301.2268.2–324.6
2055127.194.6–174.1301.3276.5–324.3
2056130.688.2–184.1302.1270.4–329.2
2057137.790.4–179.2305.4277.7–327.4
2058134.592.1–179.4302.6272.1–325.2
2059136.698.3–189.8306.2279.6–330.1
2060145.896.6–186.9306.1276.1–331.1
2061136.989.6–192.5304.4267.2–329.7
2062140.689.9–190307.6266.2–332.2
2063142.592.2–189.4309.1272.5–328.8
2064142.295.4–186.9308.5278.7–331
2065144.2101–193.2311.3284.1–329.6
2066144.2100.5–193.3311.9284–332.7
2067142.496.2–194.4310.1271.7–335.6
2068150.1103.4–196.7312.9278.7–335
2069145.898.5–197.6310.4278.4–333.4
2070143.196.6–202.5309.8281.2–334.9
2071151.7103.6–205.4316.4282.3–336
2072158.8110.5–197.3315.4289.2–335.3
2073159.8114–208.3314282.6–339.5
2074151.1103.1–205.9311.7281.9–336.8
2075148.7100.3–201.6314.8285.3–335.3
2076157.3106.3–204.8315.2284.7–338.4
2077161.8115.3–206.2318.2289.7–341.4
2078158.1114–211.5315.8286.4–338.5
2079158.3109.9–212.9317.7287.8–337.5
2080162.8109.6–212.5321.5285.9–341.7
2081161.1112.7–207.9318.7290–339
2082161.2114.4–207.5316.2289–337.7
2083159.9106–216.6317.7288.2–341.6
2084169.2117.7–215.2318.5284.5–342.1
2085175118.5–226323.4294–342.7
2086160.3115.4–221.3319.5292.3–343
2087162.4118.5–223.3318292.7–342.5
2088169.9116–218.4320.4288.1–342
2089166.9119.1–220320.1289.6–340.7
2090165.8119.6–223.4322.4292.8–342.6
2091175.2120.2–229.1322.6289.9–345
2092172.5119.9–228.5324.9291.6–343.6
2093169.9116.3–228.6322.3299.7–342.6
2094172.3118.2–221324299.3–343.4
2095179122.5–229.5326.4300.2–346.4
2096170.5117.6–228.9322.1294.4–346.4
2097169.6116.1–222.1320.9287.4–342.5
2098174.6115.2–234.3323.1293.8–344.4
2099170.7118.3–232.7322.6295.7–344.2
2100173.4123.5–231324.2293.6–346.6

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

安哥拉与喀麦隆对比

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