安哥拉与马里对比

安哥拉与马里:热带夜

2014 年热带夜:安哥拉为 61.1 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 189.1 夜,是安哥拉的 4.1 倍。

每年夜数 · CMIP6

安哥拉与马里:热带夜2014 年热带夜:安哥拉为 61.1 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 189.1 夜,是安哥拉的 4.1 倍。
安哥拉马里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,马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,马里为 283.6 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉马里
201461.1250.2
201362.3247.3
201263.6253.1
201159.9251.9
201058.9250.4
200956.9248
200854.5247.8
200754.6248.1
200654245.5
200553.8244.3
200455.8243.9
200355.3247.1
200253.2245.8
200155245.6
200051.4243.2
199948.1242.4
199850.5240.6
199747.9240.7
199643.2236.4
199543238
199441.6236.2
199335.9235.1
199235.3232
199145.5238.7
199046.7241
198943.8236.3
198842.7234.7
198742.7236.1
198642.7237.1
198539.3235.3
198438.2233
198337.8231.2
198240.8234.9
198142233.9
198039.9231.5
197939.1233.8
197838.6234.8
197738.6233.6
197636.8231.7
197538.1232.4
197437.4229.7
197338.7230.3
197236.6230.7
197136229.5
197036.6229.9
196936.5227.3
196834.5230.5
196732.4229
196634.3228.1
196534.2230.2
196431.5228.9
196330.5228.2
196237.6231.7
196137.3231.6
196038.7235.1
195938231.8
195837.3231.8
195738233.3
195635.1230.7
195537.5230.6
195436.5232
195336.2228.3
195237.3229.2
195137.4231.4
195036.5228.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份安哥拉马里
201567.946.7–89.4247.9231.5–264.7
201663.143.9–82.7248231.3–262.6
201768.248.7–87.9252.7233.6–268.2
201869.250.6–90.9254.2236.4–269
201969.547.5–97.7251.6233.5–272.3
20207351.1–97.1251.3231.2–270.7
202175.654.9–97.2254.8238.5–270
202278.758–105.7257237.8–275.3
202378.357.5–103.3254.2239.6–269.2
202483.457.6–108.1259.3242.3–276.8
202579.154–111.7256.2239.2–272.3
202682.455.4–117.5256.8237.2–277.8
202784.157.6–115.3258.5240.3–273.1
202885.862.6–117.4259.7243.6–273.9
20299165.8–120260.8240.3–275.3
203087.661.6–119.2258.1237.5–272.6
203192.363.9–122.5262.2243.4–280.6
20329566.1–124.5260.5242.1–278.2
203392.766.8–125262.1241.7–280.3
203491.466.7–131.8260.7242–275.3
203596.364.7–131.8261.5244.8–283.6
203695.964.2–129262.5244.6–281.1
2037103.870.4–136.7264.5245.2–279.6
2038105.376.7–136.8266246.7–283.2
203999.367–137.4262.3245–281.6
2040100.569.2–143.1263.6247.5–279.6
2041109.975.5–145.2264.6250.8–283.1
204210775.4–153.1265.7245.9–283.5
2043102.572.6–148.6264.8246.9–278.8
2044106.872.1–147.2269.3247.4–284.7
2045107.276.5–148.5265.6248.9–283.7
2046119.383.6–159.4269.8247.5–286.4
2047123.483.9–157.3271.9251.2–290.3
2048121.483.1–161.4270.4254.4–288.2
2049122.883.6–165.9272252.1–288.2
2050124.786.1–168.1269.5250.6–286.4
2051122.389.3–169.4268.8251.7–286.9
2052127.289.2–173.9270.1252.7–292.1
2053124.885.7–169.4269.3249.2–288.8
2054129.386.8–169.7270.3251.7–290.6
2055127.194.6–174.1270.9252.7–288.1
2056130.688.2–184.1273248.6–291.4
2057137.790.4–179.2275.5255.2–295
2058134.592.1–179.4271252.7–293.2
2059136.698.3–189.8274.5259.3–299.6
2060145.896.6–186.9273.5258–293.7
2061136.989.6–192.5275.4257–298
2062140.689.9–190270.8251.7–291.8
2063142.592.2–189.4275.9256.6–292.2
2064142.295.4–186.9276.4256.6–298.4
2065144.2101–193.2275.3256–295.1
2066144.2100.5–193.3276.9260–296.5
2067142.496.2–194.4272.6255.4–293.3
2068150.1103.4–196.7277.5258.1–296.5
2069145.898.5–197.6276.1257.7–293.3
2070143.196.6–202.5277.2256.6–296.6
2071151.7103.6–205.4277.2258.4–295.6
2072158.8110.5–197.3281.9263.8–298.9
2073159.8114–208.3276.8257.9–296.8
2074151.1103.1–205.9277.7258.7–295.9
2075148.7100.3–201.6278.5260.1–298.5
2076157.3106.3–204.8278.1261.1–294.2
2077161.8115.3–206.2283.8263.1–302.3
2078158.1114–211.5283.8263.5–299.4
2079158.3109.9–212.9278.9259.2–300.6
2080162.8109.6–212.5281.2262.1–299.4
2081161.1112.7–207.9279.1259.3–301.8
2082161.2114.4–207.5280.2260.2–298.4
2083159.9106–216.6280.8260.8–302.3
2084169.2117.7–215.2280.4263.8–301
2085175118.5–226284.6259.2–303
2086160.3115.4–221.3281.9262.8–302.4
2087162.4118.5–223.3279.7258.8–302.8
2088169.9116–218.4282.3260.7–303.3
2089166.9119.1–220283.4262.4–300.5
2090165.8119.6–223.4283.9259.8–301.9
2091175.2120.2–229.1283.1260.4–304.8
2092172.5119.9–228.5281.6259.7–303.1
2093169.9116.3–228.6284.8265.8–305.4
2094172.3118.2–221284.6262.8–305.6
2095179122.5–229.5283.6262–304.6
2096170.5117.6–228.9284.9263.3–306.3
2097169.6116.1–222.1280261–300.5
2098174.6115.2–234.3282.5262–302.1
2099170.7118.3–232.7285.3266.2–305.4
2100173.4123.5–231283.6262.8–304.1

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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