中国与巴基斯坦对比

中国与巴基斯坦:热带夜

2014 年热带夜:中国为 41.5 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 108.5 夜,是中国的 3.62 倍。

每年夜数 · CMIP6

中国与巴基斯坦:热带夜2014 年热带夜:中国为 41.5 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 108.5 夜,是中国的 3.62 倍。
中国巴基斯坦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 年中国为 63.3 夜,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份中国巴基斯坦
201441.5149.9
201341.7149.1
201240.8149.9
201140.2149
201040.5148.4
200939.5147.1
200839.2147.4
200738.7147.3
200639.5146.7
200539.5146.5
200439.7147.5
200338.5146
200238.8148.3
200139.5145.4
200038.6144.7
199938.5146.9
199837.6144.8
199737.1143.2
199636.6141.2
199535.1141.8
199434.9142.1
199333.2140.4
199232.3139.9
199135.9142.5
199036.4142.6
198936.1142.5
198835.1140.3
198734.5140
198634140
198533.5140
198433.4138.9
198331.5136.3
198234.1138.5
198134.2141.5
198034.3139.5
197933.8139.1
197834.8139
197733.3138.6
197632.7139.2
197533.1136.5
197433.3138.7
197333.1137.8
197232.6137.4
197133136
197032.4137.7
196933.4135.9
196832.8136.6
196733.4135.2
196633.4136.9
196532.5138.3
196432.1135.1
196334.5135.7
196234137
196134.6138.6
196034.1139
195934138.6
195835137.7
195734.4140
195634.6137.8
195534.2137.5
195434.2137.8
195334.3136.9
195234.3138.1
195135.1136.7
195034.9139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份中国巴基斯坦
201542.334.8–49.8152.4138.7–163.3
201642.134.4–50150.6139.4–161.7
201743.135.3–51.6151.3138.8–162
201842.335.5–49.5152.6139.8–161.8
201943.836.5–51.1151.8138.1–163.3
202043.736.8–51.1153.1140.3–164.5
202144.136–52.1154.1140.6–165.7
202244.737.5–52.7153.1140.2–165.7
202345.737.8–53.4155.5141.6–165.9
202445.738.1–54156.8143.3–168.7
202546.337.5–54.8155.7141.5–168.6
202646.237.6–55.5155.3142.2–167.9
202746.138–54.9156.8140.9–168.9
202846.438.4–54.3156.5143.9–167.6
202946.939.1–55.6155.9141.5–167.7
203047.138.8–55.3156.3143.3–167.6
20314738.8–56157.3144.4–168.1
203248.339.3–57.4157.4142.5–169.6
203347.939.7–56.6157.7143.6–169.4
203448.440.5–57.3159.5145.6–173.4
203549.740.8–58.6159.3146.7–170.3
20364940.1–58.2159.1147.5–171.4
20374941.2–57.6162.2147.5–175.3
203850.542.4–59.3161.4148.6–171.7
203949.641.2–59.2160148.2–170.4
204050.942.4–60.4160.9147.9–171.3
204151.342.5–61.1160.8146.7–171.7
204251.642–61.5162.3149.9–175.6
204350.742.7–61161.1150.3–173.8
204451.942.4–61.9163150.9–173.9
204551.542.8–61.1163149.5–174.8
20465343.7–62.7163.5149.8–177.2
204753.544.5–62.5165.2151.8–178.5
204853.144–62.6166.4154.1–179.4
204952.843.8–63.3165150.8–178.2
205053.644.4–63.8166.9153.5–179.3
205154.345.1–64.8165.6150.8–180
205253.444.6–63.2166.7155.4–179.5
205354.244.2–64.2166.3154.2–178.8
205454.545.3–64.8167.5153.9–181
20555545.1–65.8167.8155.8–182.5
205655.245.1–66.6166.3153.6–179.7
205754.844.9–65.7168.3153.9–182.3
205855.145.8–67.7167.5157–179.9
205955.345.1–67.2170.9155.9–183.8
206057.246.9–68.1170.3156.5–181.8
206156.546.6–66.3168.8156.8–179.6
206256.846.9–68.5171.6153.5–186.5
206357.247.2–68.6171.3159.5–183.8
20645747.1–67.7170.2155.3–184.5
206557.347.1–67.8169.7156.4–185
206657.347.9–68.7172.2157–186.7
206757.546.4–68.2173.2160.2–186.3
206858.748.5–70.5172.6157.7–186.3
206958.548.4–69171.8157.3–185.6
20705847.6–71.7171.7158.9–186.7
207159.347.4–71.6173.4158.7–186.8
207259.248.1–71.5174161.5–186.9
207359.849.1–70.9175.6157.2–187.9
207459.648.7–71.1173.5160–186.3
207558.748.3–71.4173161.5–187.8
207660.249–70.9172.9158.8–186.7
207760.851.1–72.4175161.3–187.8
207859.648.8–72.4174.4160.9–189.3
207960.750.1–72.6172.5158.3–187.7
208059.950–72.3175.1160.7–189.2
208160.950–73.2174.9159.2–190.2
20826149.8–73.3175.4161.8–190.6
208361.251.2–73.6176.5161.8–190.8
208461.749.7–74.6176.1160.9–190.5
208561.250.8–75.2176.3161.9–193.6
208661.648.9–74.5173.9160–189.1
208761.650.6–75176161–193.1
208862.750.5–77.1175.4160.5–195.2
208961.950–75.2177.2164.2–191.7
209062.551.4–73.7177.7163.9–192.2
209163.852–75.7177.8162.8–192.2
209263.251.2–75.1178.7162.9–192.9
209363.252–75.4177164–191
20946351.1–76.3176.8164.1–190.7
209563.952.8–76.4178.6163.8–193.1
209663.852.2–76.8177.8163.7–192.5
209762.750.7–75.1177.3160.4–192.5
209863.451.2–76.8178.7162.6–195.7
209963.851.9–76.1176159.9–193.2
210063.351.7–76.2177.6162.2–193

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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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