奥地利与巴基斯坦对比

奥地利与巴基斯坦:热带夜

2014 年热带夜:奥地利为 0.8 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 149.1 夜,是奥地利的 180 倍。

每年夜数 · CMIP6

奥地利与巴基斯坦:热带夜2014 年热带夜:奥地利为 0.8 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 149.1 夜,是奥地利的 180 倍。
奥地利巴基斯坦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 年奥地利为 6.7 夜,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份奥地利巴基斯坦
20140.8149.9
20130.4149.1
20120.5149.9
20110.6149
20100.5148.4
20090.3147.1
20080.3147.4
20070.2147.3
20060.4146.7
20050.4146.5
20040.4147.5
20030.3146
20020.2148.3
20010.3145.4
20000.3144.7
19990.3146.9
19980.1144.8
19970.1143.2
19960.2141.2
19950.2141.8
19940.1142.1
19930140.4
19920139.9
19910.2142.5
19900.2142.6
19890.2142.5
19880.1140.3
19870.1140
19860.1140
19850.1140
19840138.9
19830.1136.3
19820138.5
19810141.5
19800.1139.5
19790139.1
19780.1139
19770138.6
19760.1139.2
19750.1136.5
19740.1138.7
19730137.8
19720.1137.4
19710136
19700137.7
19690.1135.9
19680136.6
19670.1135.2
19660136.9
19650138.3
19640.1135.1
19630.1135.7
19620137
19610.1138.6
19600139
19590.2138.6
19580137.7
19570140
19560.1137.8
19550.1137.5
19540137.8
19530.1136.9
19520.1138.1
19510136.7
19500.1139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份奥地利巴基斯坦
20150.60.1–2152.4138.7–163.3
20160.70.1–2.6150.6139.4–161.7
20170.90.1–3.4151.3138.8–162
20180.80.2–3.2152.6139.8–161.8
20190.90.2–2.9151.8138.1–163.3
20201.30.2–3.4153.1140.3–164.5
20210.70.1–3.1154.1140.6–165.7
20221.10.1–3.4153.1140.2–165.7
20230.90.1–3.9155.5141.6–165.9
20240.90.1–3.4156.8143.3–168.7
20251.60–4155.7141.5–168.6
20261.40.2–4.4155.3142.2–167.9
20271.10.1–3.6156.8140.9–168.9
20281.30.3–4.3156.5143.9–167.6
20291.50.2–5.5155.9141.5–167.7
20301.20.1–4.2156.3143.3–167.6
20311.30.2–4.1157.3144.4–168.1
20321.50.2–4.9157.4142.5–169.6
20331.60.1–5157.7143.6–169.4
203420.1–5.8159.5145.6–173.4
20351.90.3–5.3159.3146.7–170.3
20362.30.4–7159.1147.5–171.4
20372.20.3–6.6162.2147.5–175.3
20381.90.3–7.1161.4148.6–171.7
20392.80.3–6.4160148.2–170.4
20402.40.7–5.8160.9147.9–171.3
20412.40.5–5.5160.8146.7–171.7
20422.50.4–6.8162.3149.9–175.6
20432.70.4–6.2161.1150.3–173.8
20442.30.6–7.4163150.9–173.9
20452.70.4–6.5163149.5–174.8
20462.90.4–8.7163.5149.8–177.2
20473.80.3–8.2165.2151.8–178.5
20483.20.3–10.2166.4154.1–179.4
20493.50.2–7.6165150.8–178.2
20502.81–7166.9153.5–179.3
20512.40.4–8.2165.6150.8–180
20523.60.5–7.5166.7155.4–179.5
20532.30.6–6.3166.3154.2–178.8
20542.70.8–7167.5153.9–181
20553.20.5–9.2167.8155.8–182.5
20563.61–8.8166.3153.6–179.7
20573.30.8–7.5168.3153.9–182.3
205850.3–10.8167.5157–179.9
20594.40.6–11.5170.9155.9–183.8
20603.91.1–10170.3156.5–181.8
20614.51.4–9.4168.8156.8–179.6
20623.90.9–9.2171.6153.5–186.5
20635.41.4–11.3171.3159.5–183.8
20644.70.9–9.9170.2155.3–184.5
206551.3–10.6169.7156.4–185
20664.91.2–11.6172.2157–186.7
20675.91.3–13.5173.2160.2–186.3
20684.71.6–9.3172.6157.7–186.3
20695.11.3–10.1171.8157.3–185.6
20704.41.2–11.6171.7158.9–186.7
20714.80.5–12.5173.4158.7–186.8
20725.81.9–10.2174161.5–186.9
20735.31.4–10.5175.6157.2–187.9
20744.51–11.8173.5160–186.3
20755.61.5–13.6173161.5–187.8
20766.20.9–14.6172.9158.8–186.7
20774.51.4–12.9175161.3–187.8
20785.61–15174.4160.9–189.3
20796.80.8–17.4172.5158.3–187.7
20806.31.8–13.3175.1160.7–189.2
20815.71.6–12.9174.9159.2–190.2
208272.2–16.2175.4161.8–190.6
20835.31.5–12.9176.5161.8–190.8
20846.11.3–11.5176.1160.9–190.5
20856.41.9–13.3176.3161.9–193.6
20866.41.7–15.1173.9160–189.1
20877.21.4–15.3176161–193.1
208872.3–15175.4160.5–195.2
20896.51.8–19177.2164.2–191.7
20906.11.9–17.7177.7163.9–192.2
20917.91.9–16.7177.8162.8–192.2
20926.91.4–14.4178.7162.9–192.9
20935.61.4–13.6177164–191
20948.51.8–15.3176.8164.1–190.7
20957.21.2–16178.6163.8–193.1
20966.51–15.2177.8163.7–192.5
20975.41.1–15177.3160.4–192.5
20987.62.1–15.1178.7162.6–195.7
20997.51.3–17.6176159.9–193.2
21006.72.5–16.1177.6162.2–193

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

奥地利与巴基斯坦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境