阿富汗与叙利亚对比

阿富汗与叙利亚:热带夜

2014 年热带夜:阿富汗为 50.8 夜,叙利亚为 89.6 夜(CMIP6 气候模型中位数模拟)。 2014 年叙利亚的数值较高,高出 38.9 夜,是阿富汗的 1.77 倍。

每年夜数 · CMIP6

阿富汗与叙利亚:热带夜2014 年热带夜:阿富汗为 50.8 夜,叙利亚为 89.6 夜(CMIP6 气候模型中位数模拟)。 2014 年叙利亚的数值较高,高出 38.9 夜,是阿富汗的 1.77 倍。
阿富汗叙利亚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,叙利亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿富汗为 72.3 夜,叙利亚为 133.8 夜。

逐年数据

每年夜数 · CMIP6

年份阿富汗叙利亚
201450.889.6
201350.690.8
201250.191.2
201149.989.6
201048.288.1
200948.986.2
200848.887.9
200748.385
200648.787.3
200548.185.3
200447.986.7
200347.286.7
200249.484.3
20014785.9
200047.983.2
199947.982.1
199846.880.5
199746.880.5
19964578.1
199544.475.8
199444.676.7
199342.471.5
199242.571.3
199145.175.5
199045.579.3
198945.575.7
198844.376.2
198744.573
19864476
198543.572.6
198443.469.6
198340.567.9
198243.172
198143.872
19804375
19794467.7
197843.170.2
197741.570.1
197641.673.4
197541.469
197441.670
197341.770.7
197242.170.1
197140.870.7
197041.670.9
196941.371.3
196840.868.7
196741.568.8
19664168.8
196541.164.3
196441.366.4
196341.869.1
196241.871.5
196142.670.8
196042.171.7
195941.872.7
195843.372.8
195742.272.6
195642.372.2
195541.470.3
195442.568.9
195341.872.2
195242.970.8
195141.572.4
195042.868.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿富汗叙利亚
201552.244.8–59.896.981.9–110.9
201652.545–59.793.581.2–108.2
201752.345.8–58.89782.1–109.5
20185244.6–59.397.785.9–111
201953.345.9–60.798.983.7–111.2
202054.347.1–61.298.683.7–112.6
202153.746.7–61.410087.1–110.7
202253.146.2–61.6101.684.9–113.2
202355.646–62.7101.988.3–115.3
20245647.3–64102.790.7–113.8
202555.947.9–65102.988.6–114.2
202654.945.9–64.5103.389.5–116.1
202755.948.7–64.2103.886.7–116.5
20285647.4–64103.589.2–116.4
202954.747.9–62.5105.694–116.3
203056.749.3–63.8105.991.3–119.2
203158.650.2–65.4105.190.7–116
203257.649.8–65.4107.893.2–119.4
203357.749.1–65.5108.796.6–119.1
203459.148.6–68.2107.593.9–119
203560.251.4–67.7108.596.3–118.3
203659.251.7–66.6105.793.2–118.7
203759.751.1–70109.294.8–121.9
20386051.9–67.2111.897.8–125.5
203958.651.3–66112.398.9–128
204059.651.8–68111.898.5–127.5
20415951.1–68110.799.1–124.5
204260.752.4–69.9112.996.4–126.5
204359.351.2–68.5113.199.7–127.3
204460.752.6–69.8112.599.8–128.8
204561.152.7–69.7118.4105.5–131.3
204661.452.3–71.6117.2104.7–129
204762.553.6–71.5114.9100.6–129.1
204863.354.7–72.3114.3101.2–130.8
204962.253.1–71.911499.3–128.9
205063.754.4–73.1116.8104.6–132.7
205162.853.2–73.2117.7105.5–129
205264.254.7–73.4116.2103.9–128.2
205363.354.9–71.6119.1105.2–131.3
205464.355.6–73.4119.7102.7–135.5
205564.956.7–73.7120.8104.3–134.2
205664.155.8–73.4119.799.9–132.9
205765.555.1–75.6120.6102.3–137.1
205865.256.7–74.7120.1103.1–136.5
205964.556.1–73.6123.5107.4–137.2
206066.855.9–75.6119.6106.4–140.3
206165.857.4–73.2122.8103.9–136.1
206266.856.9–77.4121.8104.3–136.5
206367.359.1–76.6122.1106.2–136.7
206466.357.6–76.7124.3108.4–136.6
206567.457.8–78.5123.7108.9–138.7
20666859.4–77.9122.1104.4–136.2
206769.258.5–79.9126111.1–142.7
20686858.5–77.7126.8112.1–140.3
206968.560.5–78.3123107.9–137.3
20706859.6–78.7126.5110.3–139.4
207168.458.2–78.9126109.5–142.8
207268.558.7–79.3128111.8–141.9
207369.960.2–80.9127.6108–143.7
207469.260.9–79.3124.2107–139.7
207568.459.6–81.4124.7109.2–140.6
207669.457.9–81126.6109.8–140.8
207770.158.3–80.8127.5109–143.3
207867.958.5–82.4127.2113.3–141.8
207968.757.9–81.2132.9116–146.9
208069.459.3–82129111.8–144.3
208169.158.1–81.3127.6112.5–145.6
208270.960.1–83129.1111.3–143.8
208370.960.3–82.8133.2110.3–144.1
208471.760.2–82.3132.2111–145.1
208570.260.1–85.4130.9112.7–143.3
208669.660.3–82.9130.9112.6–146.5
208771.362.8–84.1129.6109.8–148.7
208871.660.7–85.2132.5116.9–146.5
208972.361.4–83.9130.4115.3–148.4
20907160.2–83.4128.9115–145.8
209172.261.1–83.3133.4116–150.3
209272.261.6–83.3131.6115.3–149
209372.562.6–83.5135119.8–151
209472.962.2–85.3134118–148.5
209573.761.1–84.3134.3117.3–148.9
209673.362.9–85.7131.5113.7–148.7
209770.960.6–84.3136.2112.7–154.1
209873.562.2–87.3131.5115.2–152.2
209972.761–84.1132.8116–145.1
210072.360.5–87.4133.8113.2–152.2

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

阿富汗与叙利亚对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境