安哥拉与马拉维对比

安哥拉与马拉维:热带夜

2014 年热带夜:安哥拉为 61.1 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 77.1 夜,是安哥拉的 2.26 倍。

每年夜数 · CMIP6

安哥拉与马拉维:热带夜2014 年热带夜:安哥拉为 61.1 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 77.1 夜,是安哥拉的 2.26 倍。
安哥拉马拉维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,马拉维的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉马拉维
201461.1138.1
201362.3138.9
201263.6137.4
201159.9136.6
201058.9132.4
200956.9131.4
200854.5130.8
200754.6132.8
200654129.8
200553.8129.5
200455.8133.4
200355.3132.5
200253.2130.3
200155134
200051.4126.6
199948.1124.8
199850.5127.1
199747.9124.2
199643.2121.3
199543120.9
199441.6118.4
199335.9113.8
199235.3114.1
199145.5120.9
199046.7123.8
198943.8120.5
198842.7120.8
198742.7118.8
198642.7121.1
198539.3115.7
198438.2116.2
198337.8115.5
198240.8115.1
198142119
198039.9116.9
197939.1117.7
197838.6114.8
197738.6117.2
197636.8114
197538.1114
197437.4115.2
197338.7114.7
197236.6113.8
197136114.1
197036.6115.8
196936.5114.3
196834.5110
196732.4109.8
196634.3111
196534.2111.5
196431.5106.3
196330.5107.5
196237.6114.7
196137.3116
196038.7117.4
195938115.6
195837.3116.4
195738114.6
195635.1111.4
195537.5115.2
195436.5113.9
195336.2113
195237.3113.5
195137.4113.5
195036.5112.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份安哥拉马拉维
201567.946.7–89.4145.7126.7–164.3
201663.143.9–82.7139.8122.6–157.4
201768.248.7–87.9143.6127–161.8
201869.250.6–90.9143.1124.6–162.6
201969.547.5–97.7143.8128.3–161.4
20207351.1–97.1145127.3–165.8
202175.654.9–97.2145.3128–163.6
202278.758–105.7151130.1–169.1
202378.357.5–103.3149.2129.5–171.2
202483.457.6–108.1152.4130–172.6
202579.154–111.7151.1129.7–170.4
202682.455.4–117.5151.1126.2–173.8
202784.157.6–115.3154.4135.1–173.1
202885.862.6–117.4155.5134.6–174
20299165.8–120159.8139.2–178.5
203087.661.6–119.2155.6138.7–174.5
203192.363.9–122.5161.1143.4–177.6
20329566.1–124.5160.8141.3–181.3
203392.766.8–125161.3135.6–179.2
203491.466.7–131.8160.9138.9–185
203596.364.7–131.8164.3140.4–189.5
203695.964.2–129163.8137.6–182.5
2037103.870.4–136.7166.9144.6–189.2
2038105.376.7–136.8172.2148.4–191.2
203999.367–137.4164.8147.3–188.2
2040100.569.2–143.1164.4146.4–189.7
2041109.975.5–145.2169.3143.7–192.5
204210775.4–153.1169.8146.3–197.8
2043102.572.6–148.6167.5147.1–193.2
2044106.872.1–147.2172.6148.3–197
2045107.276.5–148.5170.4153.1–194.7
2046119.383.6–159.4176.3151.2–203.1
2047123.483.9–157.3178.7157.8–200.9
2048121.483.1–161.4180.7158.9–204.1
2049122.883.6–165.9176.7154–205.4
2050124.786.1–168.1180.4155.2–204.9
2051122.389.3–169.4182.9162.1–207.4
2052127.289.2–173.9184.9163.2–209.6
2053124.885.7–169.4177.2149.6–207.4
2054129.386.8–169.7185.1157.1–208
2055127.194.6–174.1186.1159.2–212.6
2056130.688.2–184.1184.6158.5–214.3
2057137.790.4–179.2184.7159.3–212.3
2058134.592.1–179.4188.5163.8–214.7
2059136.698.3–189.8189.8166.9–218.5
2060145.896.6–186.9192.6163.4–218.1
2061136.989.6–192.5186.4158.8–216.8
2062140.689.9–190192.3163.9–218.6
2063142.592.2–189.4189.2165.2–220.3
2064142.295.4–186.9197161.3–218
2065144.2101–193.2193.1165.8–225.2
2066144.2100.5–193.3201170.1–224.7
2067142.496.2–194.4193.1164.2–223.7
2068150.1103.4–196.7198.6163.7–227.1
2069145.898.5–197.6199.4165.8–225
2070143.196.6–202.5198.7168–226.7
2071151.7103.6–205.4199.3167.9–233.5
2072158.8110.5–197.3202.3173.2–226.2
2073159.8114–208.3205.4168.2–233.4
2074151.1103.1–205.9198.2175.4–227.7
2075148.7100.3–201.6199.6168.9–228.3
2076157.3106.3–204.8198.8169.8–225.2
2077161.8115.3–206.2202172.2–231.2
2078158.1114–211.5203.5175.8–232.1
2079158.3109.9–212.9203.6172.2–236.1
2080162.8109.6–212.5204.7172.2–234.3
2081161.1112.7–207.9202.2174.9–231.3
2082161.2114.4–207.5204.3178.3–228.6
2083159.9106–216.6205.8170.7–238.3
2084169.2117.7–215.2208.1175.9–235.6
2085175118.5–226211.1179.4–241
2086160.3115.4–221.3203.3175.4–237
2087162.4118.5–223.3205.3181.2–237.7
2088169.9116–218.4211.6174.7–240.6
2089166.9119.1–220208.9180.5–237.8
2090165.8119.6–223.4209.4173.4–243
2091175.2120.2–229.1214.3179.7–244.8
2092172.5119.9–228.5213.2176.8–242.3
2093169.9116.3–228.6212.5177.8–242.2
2094172.3118.2–221211.8179.7–241.5
2095179122.5–229.5216.9185–243.8
2096170.5117.6–228.9213.1182–247.6
2097169.6116.1–222.1210.8174.9–242.1
2098174.6115.2–234.3214.4181.5–242.2
2099170.7118.3–232.7213.5181.9–244.1
2100173.4123.5–231213.3181.5–246.3

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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