安哥拉与科特迪瓦对比

安哥拉与科特迪瓦:热带夜

2014 年热带夜:安哥拉为 61.1 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 280.6 夜,是安哥拉的 5.6 倍。

每年夜数 · CMIP6

安哥拉与科特迪瓦:热带夜2014 年热带夜:安哥拉为 61.1 夜,科特迪瓦为 341.6 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 280.6 夜,是安哥拉的 5.6 倍。
安哥拉科特迪瓦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,科特迪瓦的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,科特迪瓦为 359.6 夜。

逐年数据

每年夜数 · CMIP6

年份安哥拉科特迪瓦
201461.1341.6
201362.3339.6
201263.6342.3
201159.9340.1
201058.9338.6
200956.9337.3
200854.5337.1
200754.6336.7
200654336.6
200553.8337.6
200455.8334.8
200355.3337.3
200253.2336.1
200155339.5
200051.4334.6
199948.1331.3
199850.5332.7
199747.9331.8
199643.2329.9
199543330.5
199441.6327.9
199335.9327.2
199235.3322
199145.5331.7
199046.7334
198943.8328.9
198842.7327.5
198742.7327.9
198642.7329.2
198539.3324.9
198438.2325.8
198337.8325.4
198240.8324
198142327
198039.9323.1
197939.1327.1
197838.6324.2
197738.6325.5
197636.8321.7
197538.1322.8
197437.4322
197338.7323.8
197236.6322.4
197136322
197036.6322.2
196936.5320.9
196834.5319.8
196732.4317.1
196634.3318.4
196534.2320
196431.5314.7
196330.5317.4
196237.6324.1
196137.3323.1
196038.7325.5
195938322.1
195837.3322.4
195738321.2
195635.1321.2
195537.5320.1
195436.5325.6
195336.2322.9
195237.3319.4
195137.4323.9
195036.5317.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份安哥拉科特迪瓦
201567.946.7–89.4339.1321.9–350.7
201663.143.9–82.7339.9324.6–349.1
201768.248.7–87.9340.5322.4–349.6
201869.250.6–90.9341.6327.4–351.6
201969.547.5–97.7338.5323.6–350.3
20207351.1–97.1340.6324.2–352.9
202175.654.9–97.2340.8325.2–353.8
202278.758–105.7344327.2–353.4
202378.357.5–103.3341.2327.2–352.6
202483.457.6–108.1344.9331–353.9
202579.154–111.7342.4327.8–352.1
202682.455.4–117.5342.3326.6–353.3
202784.157.6–115.3343.9325.6–352.9
202885.862.6–117.4347.4333.6–355.5
20299165.8–120347.2332.4–355.2
203087.661.6–119.2347.2332.1–353.8
203192.363.9–122.5349.3333.1–357.2
20329566.1–124.5347.8331.5–356.9
203392.766.8–125348332.6–360.4
203491.466.7–131.8346.6331.7–355.8
203596.364.7–131.8348.9333.7–357.8
203695.964.2–129350.5332.7–359.1
2037103.870.4–136.7349.8334.6–357.5
2038105.376.7–136.8351.3338.9–358.2
203999.367–137.4350.6333.1–358.9
2040100.569.2–143.1351.1336.2–359.6
2041109.975.5–145.2350.8335.9–358
204210775.4–153.1349.8337.3–358.6
2043102.572.6–148.6348.4336.1–357.8
2044106.872.1–147.2350.3337.5–359.2
2045107.276.5–148.5351339.5–359.5
2046119.383.6–159.4351.7337.6–358.6
2047123.483.9–157.3352335.4–360.1
2048121.483.1–161.4351.6339.9–360.3
2049122.883.6–165.9353339.6–360.9
2050124.786.1–168.1352340.6–359.3
2051122.389.3–169.4353340.5–360.5
2052127.289.2–173.9352339–359.8
2053124.885.7–169.4352.7339–360.5
2054129.386.8–169.7354.7339.5–360.9
2055127.194.6–174.1353.4343.4–360.8
2056130.688.2–184.1355.9339.6–362.8
2057137.790.4–179.2356.3343–362
2058134.592.1–179.4354.3344.5–361.3
2059136.698.3–189.8355343.4–361.7
2060145.896.6–186.9354.6343.3–362.1
2061136.989.6–192.5354.6341.3–362.5
2062140.689.9–190354.4340.8–361.3
2063142.592.2–189.4355.4345.2–362.1
2064142.295.4–186.9356.1344.6–362.9
2065144.2101–193.2355.5346.4–362.4
2066144.2100.5–193.3355.2344.5–361.2
2067142.496.2–194.4355.3341.4–361.8
2068150.1103.4–196.7357.3346.3–363.6
2069145.898.5–197.6355344.3–362.7
2070143.196.6–202.5355.6344.2–362.3
2071151.7103.6–205.4356.8344.7–362.9
2072158.8110.5–197.3357.7346.2–363.1
2073159.8114–208.3356.6345.2–362.2
2074151.1103.1–205.9354.4342.1–362.7
2075148.7100.3–201.6356343.7–362.5
2076157.3106.3–204.8357.4348.5–363.3
2077161.8115.3–206.2358.1347.7–362.8
2078158.1114–211.5357.3346.8–363.2
2079158.3109.9–212.9357.4346.6–363.6
2080162.8109.6–212.5359.1349.4–364.7
2081161.1112.7–207.9358.8347.5–363.5
2082161.2114.4–207.5357346.9–363.4
2083159.9106–216.6357.8349.5–363.1
2084169.2117.7–215.2358.8349.3–363.4
2085175118.5–226359.7350.1–364
2086160.3115.4–221.3359347.7–363.8
2087162.4118.5–223.3358.8348.8–364.1
2088169.9116–218.4358347.4–363.7
2089166.9119.1–220357.4347.3–363.5
2090165.8119.6–223.4358.8346.1–363.9
2091175.2120.2–229.1358.3349.1–363.3
2092172.5119.9–228.5359.2347.5–364
2093169.9116.3–228.6359349.8–363.8
2094172.3118.2–221359.3350.1–363.1
2095179122.5–229.5358.1349.7–364
2096170.5117.6–228.9358.8348.3–365.1
2097169.6116.1–222.1358.9342.5–362.5
2098174.6115.2–234.3357.8348.1–363.6
2099170.7118.3–232.7359.2349.5–363.2
2100173.4123.5–231359.6348.3–363.8

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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