安哥拉与马达加斯加对比

安哥拉与马达加斯加:热带夜

2014 年热带夜:安哥拉为 61.1 夜,马达加斯加为 138.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 77.3 夜,是安哥拉的 2.27 倍。

每年夜数 · CMIP6

安哥拉与马达加斯加:热带夜2014 年热带夜:安哥拉为 61.1 夜,马达加斯加为 138.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 77.3 夜,是安哥拉的 2.27 倍。
安哥拉马达加斯加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,马达加斯加的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,马达加斯加为 198.5 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉马达加斯加
201461.1138.3
201362.3138
201263.6138.3
201159.9136.8
201058.9134.2
200956.9133.5
200854.5132.3
200754.6133.1
200654131.6
200553.8130.3
200455.8133.5
200355.3131
200253.2131.8
200155131.7
200051.4127.4
199948.1128.4
199850.5128.6
199747.9125.3
199643.2121.8
199543123.3
199441.6121.8
199335.9116
199235.3116.6
199145.5124.9
199046.7126.2
198943.8124
198842.7123.8
198742.7122.8
198642.7123.8
198539.3120
198438.2118.6
198337.8116.5
198240.8121.8
198142122.1
198039.9120.3
197939.1120.7
197838.6119.3
197738.6119
197636.8117.4
197538.1116.5
197437.4119.5
197338.7119
197236.6117
197136116.3
197036.6117
196936.5116.3
196834.5113.1
196732.4113
196634.3114.1
196534.2112.2
196431.5109.6
196330.5109.7
196237.6115.3
196137.3118.5
196038.7118.2
195938119
195837.3118.7
195738117.6
195635.1115.5
195537.5116.6
195436.5115.9
195336.2116.4
195237.3117.4
195137.4116
195036.5116.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份安哥拉马达加斯加
201567.946.7–89.4142.8126.7–159.3
201663.143.9–82.7137.8122.2–156
201768.248.7–87.9143.1125.6–159.4
201869.250.6–90.9143.7125.9–160.3
201969.547.5–97.7143.4124.4–162.3
20207351.1–97.1143.4125.2–159
202175.654.9–97.2145.4128.8–160.4
202278.758–105.7150.4133.4–165.2
202378.357.5–103.3149.7132.1–166
202483.457.6–108.1150.7131.4–167.9
202579.154–111.7149128.8–169.1
202682.455.4–117.5150.1127.4–169.9
202784.157.6–115.3151.8131.9–170.8
202885.862.6–117.4154.9137.7–173.1
20299165.8–120155.7135.2–173.8
203087.661.6–119.2154.8136.4–171.3
203192.363.9–122.5158.1141.3–174.8
20329566.1–124.5157.9136.2–178.4
203392.766.8–125158.9136.7–177.8
203491.466.7–131.8158.6140.6–179.6
203596.364.7–131.8161.1140.2–181.6
203695.964.2–129159.5139.4–177.1
2037103.870.4–136.7165.8144.7–182.8
2038105.376.7–136.8166.5149.3–183.9
203999.367–137.4164.1145.1–183.9
2040100.569.2–143.1162.8144.5–184.8
2041109.975.5–145.2165.8143.5–183.9
204210775.4–153.1165.1144.3–188.4
2043102.572.6–148.6165.6148.5–184.7
2044106.872.1–147.2167.3145.8–187
2045107.276.5–148.5166.9147.1–187.1
2046119.383.6–159.4171.4149.6–193
2047123.483.9–157.3171.7148.8–193.4
2048121.483.1–161.4173.7151.7–193.6
2049122.883.6–165.9172.2151.4–192.9
2050124.786.1–168.1174.4150.5–193.6
2051122.389.3–169.4175154.3–195.1
2052127.289.2–173.9176153.8–196.7
2053124.885.7–169.4176.6151.1–197.8
2054129.386.8–169.7175.5152.8–199.2
2055127.194.6–174.1179.2157.3–196.8
2056130.688.2–184.1178.8156.5–199.7
2057137.790.4–179.2177.7155.5–201
2058134.592.1–179.4180.5158.9–202.4
2059136.698.3–189.8181.8158.3–202.5
2060145.896.6–186.9185.1159.5–207.8
2061136.989.6–192.5180.6157.6–203.8
2062140.689.9–190180.6157.1–205.6
2063142.592.2–189.4185156.8–210.7
2064142.295.4–186.9184.7159.1–205.7
2065144.2101–193.2183.8157.1–208.5
2066144.2100.5–193.3187.3159.6–211
2067142.496.2–194.4184.9155.9–208.9
2068150.1103.4–196.7187.5161.7–211.1
2069145.898.5–197.6187.5162–211.3
2070143.196.6–202.5187.8160.4–213.6
2071151.7103.6–205.4190.7162.7–216.6
2072158.8110.5–197.3191.8168.2–215.8
2073159.8114–208.3191.4168.7–214.5
2074151.1103.1–205.9189.4162.6–217.7
2075148.7100.3–201.6189.3163.8–214.2
2076157.3106.3–204.8191.1164.3–214
2077161.8115.3–206.2191.9168.8–217.1
2078158.1114–211.5190.1166.5–219.3
2079158.3109.9–212.9190.1163.7–216.2
2080162.8109.6–212.5194.8167.7–219.4
2081161.1112.7–207.9191.7166.7–218.1
2082161.2114.4–207.5193.8169.2–216.7
2083159.9106–216.6194.6166.1–218.1
2084169.2117.7–215.2197.9170–219.7
2085175118.5–226197.8172.3–223.7
2086160.3115.4–221.3192.9169.6–220
2087162.4118.5–223.3195.2170.4–220.1
2088169.9116–218.4198.1165.1–225.5
2089166.9119.1–220196.3167.9–227.6
2090165.8119.6–223.4197.5172.4–228.1
2091175.2120.2–229.1199.2172.7–226.7
2092172.5119.9–228.5202.4170.7–226.6
2093169.9116.3–228.6202.1172.3–230.5
2094172.3118.2–221198.3168.6–224
2095179122.5–229.5200.7171.7–225.1
2096170.5117.6–228.9199.8173.6–226.3
2097169.6116.1–222.1201.2170–227.6
2098174.6115.2–234.3201.1170.7–227.2
2099170.7118.3–232.7198.3173.8–225.8
2100173.4123.5–231198.5173.3–227.7

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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