约旦与巴基斯坦对比

约旦与巴基斯坦:热带夜

2014 年热带夜:约旦为 74.7 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 75.3 夜,是约旦的 2.01 倍。

每年夜数 · CMIP6

约旦与巴基斯坦:热带夜2014 年热带夜:约旦为 74.7 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 75.3 夜,是约旦的 2.01 倍。
约旦巴基斯坦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 年约旦为 131.7 夜,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份约旦巴基斯坦
201474.7149.9
201372.2149.1
201271.9149.9
201171.4149
201071.4148.4
200966.9147.1
200869.4147.4
200764.6147.3
200667.7146.7
200566.2146.5
200467.4147.5
200368.2146
200263148.3
200168.3145.4
200063.8144.7
199962.2146.9
199861.8144.8
199759.2143.2
199656.6141.2
199554.1141.8
199454.6142.1
199345.2140.4
199248.3139.9
199152.3142.5
199057.7142.6
198953.4142.5
198850.5140.3
198749.5140
198652140
198547.1140
198444.2138.9
198341.5136.3
198247.4138.5
198148.3141.5
198049.2139.5
197941.8139.1
197845.1139
197746.7138.6
197645.6139.2
197543136.5
197445.1138.7
197344.6137.8
197244.8137.4
197147.2136
197044.3137.7
196946.3135.9
196842.6136.6
196741.5135.2
196643136.9
196536.8138.3
196437.7135.1
196343135.7
196245137
196145.4138.6
196046.3139
195946.3138.6
195847.2137.7
195748.7140
195648.4137.8
195545.5137.5
195442.7137.8
195347.8136.9
195245.7138.1
195145136.7
195041.8139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份约旦巴基斯坦
201581.862.6–98.9152.4138.7–163.3
201679.261.3–95.2150.6139.4–161.7
201782.466.3–96.6151.3138.8–162
201884.868.8–102.1152.6139.8–161.8
201987.467.5–100.7151.8138.1–163.3
202086.866.8–102.2153.1140.3–164.5
202188.273.8–101.1154.1140.6–165.7
202288.170–103.7153.1140.2–165.7
202392.474.7–106.4155.5141.6–165.9
202490.776.3–107.1156.8143.3–168.7
202594.173.1–105.2155.7141.5–168.6
202691.678.6–106.9155.3142.2–167.9
202794.475.7–108.4156.8140.9–168.9
202892.675.9–106.3156.5143.9–167.6
202995.381.2–107.3155.9141.5–167.7
203096.381.5–111.7156.3143.3–167.6
203193.876.5–110.6157.3144.4–168.1
203210086.4–110.9157.4142.5–169.6
2033100.683.6–113.6157.7143.6–169.4
203498.882.4–112.3159.5145.6–173.4
2035101.883.2–115.2159.3146.7–170.3
203697.885.1–116.2159.1147.5–171.4
203710384.6–117.8162.2147.5–175.3
2038102.386.1–122.6161.4148.6–171.7
2039107.190.5–125.7160148.2–170.4
2040106.387.8–125.5160.9147.9–171.3
2041103.787.8–123.2160.8146.7–171.7
2042108.586.5–122.3162.3149.9–175.6
2043105.791–124.9161.1150.3–173.8
2044105.682.8–125.1163150.9–173.9
204511298.8–128163149.5–174.8
204611395.5–127.5163.5149.8–177.2
2047112.293–125.7165.2151.8–178.5
2048111.893.7–129.7166.4154.1–179.4
2049110.384.7–125.6165150.8–178.2
2050112.495.9–127.2166.9153.5–179.3
2051112.397–125.6165.6150.8–180
2052110.697.4–125.9166.7155.4–179.5
2053113.798.2–129.9166.3154.2–178.8
2054115.492.5–130.9167.5153.9–181
2055115.794.8–130.2167.8155.8–182.5
2056115.394.2–130.5166.3153.6–179.7
2057115.496.7–135.6168.3153.9–182.3
2058116.196.6–136.8167.5157–179.9
2059120.998.5–137.1170.9155.9–183.8
2060115.898.7–138.7170.3156.5–181.8
2061118.897.1–132.3168.8156.8–179.6
206212091.6–136.4171.6153.5–186.5
2063118.7101.7–135.9171.3159.5–183.8
2064121.4103.3–135.9170.2155.3–184.5
2065120.2100.4–134.9169.7156.4–185
2066120.498.5–135172.2157–186.7
2067124106.1–139.5173.2160.2–186.3
2068123.2105.3–138.1172.6157.7–186.3
2069118.8105.4–137.2171.8157.3–185.6
2070123104–140.8171.7158.9–186.7
2071123.6103.8–144.3173.4158.7–186.8
2072124.5106.3–140.9174161.5–186.9
2073126.6104.8–144.4175.6157.2–187.9
2074120.9103–139.6173.5160–186.3
2075121.7103.1–138.1173161.5–187.8
2076124.1105.4–144.2172.9158.8–186.7
2077124.2105.3–143.9175161.3–187.8
2078124.7105.6–142.8174.4160.9–189.3
2079132107–143.6172.5158.3–187.7
2080128.9106.2–144.4175.1160.7–189.2
2081125.3108.7–144.8174.9159.2–190.2
2082128107.9–145.2175.4161.8–190.6
2083130.9108–144.7176.5161.8–190.8
2084130.5110.6–145176.1160.9–190.5
2085129.1108.8–141.7176.3161.9–193.6
2086127.5108.9–147.6173.9160–189.1
2087129.8106.1–148.4176161–193.1
2088132.2114.9–149.4175.4160.5–195.2
2089128.7113.4–148.5177.2164.2–191.7
2090128.2111.9–151.3177.7163.9–192.2
2091132.8112.5–152.1177.8162.8–192.2
2092130.6108.3–152.6178.7162.9–192.9
2093135.8116.2–154.4177164–191
2094135.9116.3–150.6176.8164.1–190.7
2095133112.7–149.6178.6163.8–193.1
2096130.4108.1–151.3177.8163.7–192.5
2097134.5113.5–155.4177.3160.4–192.5
2098132.5114.9–152.3178.7162.6–195.7
2099132.1115.3–145.3176159.9–193.2
2100131.7111.2–153.1177.6162.2–193

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

约旦与巴基斯坦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境