墨西哥与巴基斯坦对比

墨西哥与巴基斯坦:35 °C 以上天数

2014 年35 °C 以上天数:墨西哥为 32.8 天,巴基斯坦为 118.6 天(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 85.8 天,是墨西哥的 3.62 倍。

每年天数 · CMIP6

墨西哥与巴基斯坦:35 °C 以上天数2014 年35 °C 以上天数:墨西哥为 32.8 天,巴基斯坦为 118.6 天(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 85.8 天,是墨西哥的 3.62 倍。
墨西哥巴基斯坦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 年墨西哥为 67.8 天,巴基斯坦为 147.6 天。

逐年数据

每年天数 · CMIP6

年份墨西哥巴基斯坦
201432.8118.6
201331.6117.5
201230.4117.5
201130.5118
201031.8114.3
200930.6115.3
200830.7115.4
200729112.5
200628.6112.9
200529.2114.9
200429.4116.1
200327.2114.6
200227.8115.9
200129.6114.4
200027.9114.6
199926.4114.2
199827111.7
199726.7112
199625.7108.3
199525.1110
199424.1108.6
199321.9107.2
199220.9105.2
199126.5110.6
199026.5110.7
198924110.9
198823.9109.8
198725.7108.3
198624.1108.7
198521.9105.6
198422108
198320.7104.7
198222.1108
198123.4109.5
198022.5109.7
197924108.7
197822.5108.6
197722.8106.5
197622.2108.2
197521.3105
197422.6108.8
197321.7108
197222.5104.5
197121.2106.2
197022.3106.5
196923.1105.8
196821.7104.4
196722.8106.4
196621.9106.4
196520.3106
196420.6103
196322.1104.3
196222.7106.7
196123.5108.7
196023.2108.7
195923.7110.4
195822.9108.5
195722.3110.7
195622.8108.8
195523.1108.3
195422.1107
195322.5107.6
195221.4108.9
195122.1108.1
195022.3110.5
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份墨西哥巴基斯坦
201535.225.3–48.5122100.8–136.6
201633.924.5–44.6119.5104.9–132
201735.424.4–46.9119.999.5–134.3
20183625.2–47.9119.7103–133.8
201936.726–51.6118.997.2–133.8
202037.325.8–50.6122.8105–136.3
202137.726.7–51.1122.9103.2–138.2
202237.225.5–52120.7101.9–136.4
202338.426.6–52.5123.3104.8–138.8
202442.228.1–55.6124.4105.4–139.1
202539.627.6–53.3123.8102.8–139.1
202639.126.4–51.8122.5101.9–141.8
202737.926.5–53.6124.4101.5–141
202840.127.8–55.7124.8103.6–140.2
202941.727.6–56.7126.499.2–141.6
203039.325.9–53122.5103.5–140.1
20314127.8–56.3122.7105.6–139.9
203242.527.6–55.9126104–143.9
203342.530.2–57.1125.9106.6–144.1
203440.427.8–56.6130.9113.2–147.8
203540.528.2–56.9127.1107.6–143.6
203641.428.9–55.3125.5108.3–143.4
203744.230–59.6130.7112.4–147.9
203845.130.6–59.7130.9108.6–144.9
20394732.9–63.1128.6110.2–144.9
204046.933.9–61.8133.2115.1–146.1
204144.530.9–60.8127.2108.3–143.5
204248.633.8–64.3134.6112.8–150.7
204346.632.5–63.4131.6112.5–149.3
204447.234.1–63.7128.2108.1–145.9
204548.333.7–65.3133.4116.7–148.7
20465035.6–64.3133.8109–151.1
204751.537.2–67134.6110–150.9
204850.235.3–67.1136117.1–152.3
204952.336.1–69.5133.3115.2–152.5
205050.234.4–66.5138.4119.4–157.4
205150.436.9–66.9138115.5–158.2
20525235.5–68.6138.3120.3–155.3
20535336.9–70.2137.4117.7–155.8
205452.835.8–69.3137116–152.4
205554.437.3–71.1139.6120–157.2
205652.837.6–69.6135.8117.3–154.1
205755.937–72141.5119.5–158.8
205851.536.7–70.5137.1114.3–154.7
205955.340.6–72.6141.4122.6–156.6
206055.739.5–73.4142.5124.1–158.6
206157.642.1–73.9142.3123.2–157.4
20625535.6–77141.3118.8–161.2
206357.641.7–77.2143.1125.6–160.6
206458.242.8–75140.7119.8–163.5
206559.540.3–79141.1121.5–159.3
206657.940.6–76.3143.8122.5–163.4
20675841.9–76.7144.2125.9–162.3
206860.343.2–79.1143.2126–162.2
206958.339.8–80.5144.7119.8–163.2
207060.239.8–80.8143.7126.5–163
207161.344.6–81.4145.5121.8–164.4
207263.144–80.9147.1125.5–165.1
207362.842.3–85.4149.2122.1–164.7
20746043.5–80.9145.8126.7–162.2
207560.842.2–80.8145.1126.2–160.5
207661.242.4–83.6145.7126.4–165.9
207760.843.2–79.8146.1126.2–164.4
207864.744.4–86.4146.5121.4–164.4
20796646.1–87.4144.6122.7–161
208064.744–84.6148.2123.7–166.4
208164.845.7–84.4145.8122.2–167
208263.643.2–82.2146123.3–168.8
208365.140.9–89.7148.3127–167.4
208465.446.4–86.3150.5128.5–167.6
208565.744.8–85.9149.9126.1–170.8
208664.644.8–85.1146.3124.2–165
208764.644.4–84.2149.9124.3–167.3
20886545.7–86.5149.3127.9–169.7
208966.644.2–87.9148.9129.6–166.7
209066.246–89150.3131.5–166.7
20916946.6–92.4151.1128.4–168.7
209267.746–86.5150.5129.8–170.2
209366.846.9–91.6151.6131.8–167.9
209467.546.7–92.1151.5130.4–168.6
209570.149.8–93.9152.5130.6–169.2
209668.547.9–91.7150.8124.2–169
209767.346–89.7149.4130.3–167.5
209871.348.2–95.2151.7125.4–168.2
209968.349.1–91.5151.6124.4–170.6
210067.846.4–88.6147.6125.2–167.5

分别查看各国

须知

  • 一年中最高气温超过 35 °C 的天数,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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