缅甸与巴基斯坦对比

缅甸与巴基斯坦:35 °C 以上天数

2014 年35 °C 以上天数:缅甸为 28.8 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 89.8 天,是缅甸的 4.12 倍。

每年天数 · CMIP6

缅甸与巴基斯坦:35 °C 以上天数2014 年35 °C 以上天数:缅甸为 28.8 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 89.8 天,是缅甸的 4.12 倍。
缅甸巴基斯坦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 年缅甸为 57 天,巴基斯坦为 147.6 天。

逐年数据

每年天数 · CMIP6

年份缅甸巴基斯坦
201428.8118.6
201328117.5
201227.5117.5
201127.4118
201027.9114.3
200927.3115.3
200827.2115.4
200725.4112.5
200626.8112.9
200525114.9
200428.3116.1
200326.4114.6
200227.4115.9
200128.4114.4
200026.6114.6
199926.1114.2
199826.4111.7
199726.2112
199624.7108.3
199525.5110
199424.3108.6
199323.9107.2
199220.5105.2
199128.4110.6
199026.3110.7
198923.8110.9
198823.9109.8
198725.4108.3
198626.6108.7
198523.6105.6
198425.8108
198323.2104.7
198224108
198123.8109.5
198023.5109.7
197925.3108.7
197823.4108.6
197724.1106.5
197625.6108.2
197522.3105
197424.1108.8
197325.9108
197223.1104.5
197122.8106.2
197024.2106.5
196923.6105.8
196823.4104.4
196724.1106.4
196623.1106.4
196523.3106
196421.7103
196323.2104.3
196224.4106.7
196124.9108.7
196026.2108.7
195922.6110.4
195825108.5
195724.1110.7
195625108.8
195524.5108.3
195425.3107
195323.5107.6
195226.1108.9
195125108.1
195023.8110.5
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份缅甸巴基斯坦
201528.518.5–40122100.8–136.6
201627.717.3–38.7119.5104.9–132
20172818.9–38.5119.999.5–134.3
201829.818.6–41.2119.7103–133.8
201928.218.2–41.3118.997.2–133.8
202028.616.8–41.4122.8105–136.3
202129.719.4–40.8122.9103.2–138.2
202231.521.7–42.7120.7101.9–136.4
202330.319.9–41.6123.3104.8–138.8
202431.720.1–43.7124.4105.4–139.1
202532.721.3–44.8123.8102.8–139.1
202630.420.3–44.5122.5101.9–141.8
202730.620.4–44.2124.4101.5–141
202831.119–43124.8103.6–140.2
202932.720.9–46.4126.499.2–141.6
203032.619.3–45122.5103.5–140.1
203132.721.3–45.2122.7105.6–139.9
203232.119.6–45.4126104–143.9
203333.322–43.8125.9106.6–144.1
203431.322–43.5130.9113.2–147.8
203532.620.4–49127.1107.6–143.6
203633.322.7–46.1125.5108.3–143.4
203734.322.6–49.1130.7112.4–147.9
203835.824.4–49.9130.9108.6–144.9
203934.920.9–49128.6110.2–144.9
20403419.2–51.2133.2115.1–146.1
20413724.8–51.9127.2108.3–143.5
204236.223–49.9134.6112.8–150.7
204334.522.6–47.7131.6112.5–149.3
204438.222.1–51.2128.2108.1–145.9
204535.924.2–50.7133.4116.7–148.7
204638.425.2–57.1133.8109–151.1
204738.824.1–56.1134.6110–150.9
204840.323.4–58.7136117.1–152.3
204940.625.2–58.1133.3115.2–152.5
205040.226.5–55.3138.4119.4–157.4
205141.726.7–56.8138115.5–158.2
205240.326.3–61.2138.3120.3–155.3
205341.323.6–61.5137.4117.7–155.8
205442.426.8–60.9137116–152.4
205541.428.5–61.9139.6120–157.2
205642.726.5–63135.8117.3–154.1
205743.226.3–63.2141.5119.5–158.8
205844.526.8–63.6137.1114.3–154.7
205943.729.1–65.3141.4122.6–156.6
206047.428.3–66142.5124.1–158.6
206146.729.5–64.5142.3123.2–157.4
206247.126.7–68.6141.3118.8–161.2
206346.929–66.4143.1125.6–160.6
206447.527.9–66.1140.7119.8–163.5
206542.427.5–62.4141.1121.5–159.3
206646.228.9–68.8143.8122.5–163.4
20674125.7–63.6144.2125.9–162.3
206846.928–70.4143.2126–162.2
206948.729.3–70.1144.7119.8–163.2
207043.927.5–64.3143.7126.5–163
20714926.2–71.9145.5121.8–164.4
20724730.6–71.4147.1125.5–165.1
207350.732.2–74149.2122.1–164.7
20744829.2–74145.8126.7–162.2
207549.126.1–68.9145.1126.2–160.5
207647.826.5–72.8145.7126.4–165.9
207751.832.9–76.1146.1126.2–164.4
207850.632.4–75.6146.5121.4–164.4
207950.730.5–77144.6122.7–161
208053.331.3–79.5148.2123.7–166.4
20815235.5–79.1145.8122.2–167
208252.532.5–76.8146123.3–168.8
208351.730.5–79.6148.3127–167.4
208452.329.5–76150.5128.5–167.6
208551.232.9–79.4149.9126.1–170.8
208652.632.5–80.1146.3124.2–165
208751.732.6–77.9149.9124.3–167.3
208850.727.2–88.8149.3127.9–169.7
208952.731.4–86.3148.9129.6–166.7
209054.231.1–80.1150.3131.5–166.7
209153.235.4–80.1151.1128.4–168.7
209254.135.4–85.5150.5129.8–170.2
20935235.6–85151.6131.8–167.9
209454.434.9–80.7151.5130.4–168.6
209558.535.1–84.3152.5130.6–169.2
209652.832.3–84.1150.8124.2–169
209753.230.4–82.8149.4130.3–167.5
209855.334.4–83.8151.7125.4–168.2
209955.233.1–84.7151.6124.4–170.6
21005734.6–84147.6125.2–167.5

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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