阿富汗与巴基斯坦对比

阿富汗与巴基斯坦:热带夜

2014 年热带夜:阿富汗为 50.8 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 99.1 夜,是阿富汗的 2.95 倍。

每年夜数 · CMIP6

阿富汗与巴基斯坦:热带夜2014 年热带夜:阿富汗为 50.8 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 99.1 夜,是阿富汗的 2.95 倍。
阿富汗巴基斯坦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,巴基斯坦的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿富汗为 72.3 夜,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份阿富汗巴基斯坦
201450.8149.9
201350.6149.1
201250.1149.9
201149.9149
201048.2148.4
200948.9147.1
200848.8147.4
200748.3147.3
200648.7146.7
200548.1146.5
200447.9147.5
200347.2146
200249.4148.3
200147145.4
200047.9144.7
199947.9146.9
199846.8144.8
199746.8143.2
199645141.2
199544.4141.8
199444.6142.1
199342.4140.4
199242.5139.9
199145.1142.5
199045.5142.6
198945.5142.5
198844.3140.3
198744.5140
198644140
198543.5140
198443.4138.9
198340.5136.3
198243.1138.5
198143.8141.5
198043139.5
197944139.1
197843.1139
197741.5138.6
197641.6139.2
197541.4136.5
197441.6138.7
197341.7137.8
197242.1137.4
197140.8136
197041.6137.7
196941.3135.9
196840.8136.6
196741.5135.2
196641136.9
196541.1138.3
196441.3135.1
196341.8135.7
196241.8137
196142.6138.6
196042.1139
195941.8138.6
195843.3137.7
195742.2140
195642.3137.8
195541.4137.5
195442.5137.8
195341.8136.9
195242.9138.1
195141.5136.7
195042.8139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿富汗巴基斯坦
201552.244.8–59.8152.4138.7–163.3
201652.545–59.7150.6139.4–161.7
201752.345.8–58.8151.3138.8–162
20185244.6–59.3152.6139.8–161.8
201953.345.9–60.7151.8138.1–163.3
202054.347.1–61.2153.1140.3–164.5
202153.746.7–61.4154.1140.6–165.7
202253.146.2–61.6153.1140.2–165.7
202355.646–62.7155.5141.6–165.9
20245647.3–64156.8143.3–168.7
202555.947.9–65155.7141.5–168.6
202654.945.9–64.5155.3142.2–167.9
202755.948.7–64.2156.8140.9–168.9
20285647.4–64156.5143.9–167.6
202954.747.9–62.5155.9141.5–167.7
203056.749.3–63.8156.3143.3–167.6
203158.650.2–65.4157.3144.4–168.1
203257.649.8–65.4157.4142.5–169.6
203357.749.1–65.5157.7143.6–169.4
203459.148.6–68.2159.5145.6–173.4
203560.251.4–67.7159.3146.7–170.3
203659.251.7–66.6159.1147.5–171.4
203759.751.1–70162.2147.5–175.3
20386051.9–67.2161.4148.6–171.7
203958.651.3–66160148.2–170.4
204059.651.8–68160.9147.9–171.3
20415951.1–68160.8146.7–171.7
204260.752.4–69.9162.3149.9–175.6
204359.351.2–68.5161.1150.3–173.8
204460.752.6–69.8163150.9–173.9
204561.152.7–69.7163149.5–174.8
204661.452.3–71.6163.5149.8–177.2
204762.553.6–71.5165.2151.8–178.5
204863.354.7–72.3166.4154.1–179.4
204962.253.1–71.9165150.8–178.2
205063.754.4–73.1166.9153.5–179.3
205162.853.2–73.2165.6150.8–180
205264.254.7–73.4166.7155.4–179.5
205363.354.9–71.6166.3154.2–178.8
205464.355.6–73.4167.5153.9–181
205564.956.7–73.7167.8155.8–182.5
205664.155.8–73.4166.3153.6–179.7
205765.555.1–75.6168.3153.9–182.3
205865.256.7–74.7167.5157–179.9
205964.556.1–73.6170.9155.9–183.8
206066.855.9–75.6170.3156.5–181.8
206165.857.4–73.2168.8156.8–179.6
206266.856.9–77.4171.6153.5–186.5
206367.359.1–76.6171.3159.5–183.8
206466.357.6–76.7170.2155.3–184.5
206567.457.8–78.5169.7156.4–185
20666859.4–77.9172.2157–186.7
206769.258.5–79.9173.2160.2–186.3
20686858.5–77.7172.6157.7–186.3
206968.560.5–78.3171.8157.3–185.6
20706859.6–78.7171.7158.9–186.7
207168.458.2–78.9173.4158.7–186.8
207268.558.7–79.3174161.5–186.9
207369.960.2–80.9175.6157.2–187.9
207469.260.9–79.3173.5160–186.3
207568.459.6–81.4173161.5–187.8
207669.457.9–81172.9158.8–186.7
207770.158.3–80.8175161.3–187.8
207867.958.5–82.4174.4160.9–189.3
207968.757.9–81.2172.5158.3–187.7
208069.459.3–82175.1160.7–189.2
208169.158.1–81.3174.9159.2–190.2
208270.960.1–83175.4161.8–190.6
208370.960.3–82.8176.5161.8–190.8
208471.760.2–82.3176.1160.9–190.5
208570.260.1–85.4176.3161.9–193.6
208669.660.3–82.9173.9160–189.1
208771.362.8–84.1176161–193.1
208871.660.7–85.2175.4160.5–195.2
208972.361.4–83.9177.2164.2–191.7
20907160.2–83.4177.7163.9–192.2
209172.261.1–83.3177.8162.8–192.2
209272.261.6–83.3178.7162.9–192.9
209372.562.6–83.5177164–191
209472.962.2–85.3176.8164.1–190.7
209573.761.1–84.3178.6163.8–193.1
209673.362.9–85.7177.8163.7–192.5
209770.960.6–84.3177.3160.4–192.5
209873.562.2–87.3178.7162.6–195.7
209972.761–84.1176159.9–193.2
210072.360.5–87.4177.6162.2–193

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

阿富汗与巴基斯坦对比

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