莫桑比克与索马里对比

莫桑比克与索马里:35 °C 以上天数

2014 年35 °C 以上天数:莫桑比克为 18.3 天,索马里为 58 天(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 39.7 天,是莫桑比克的 3.17 倍。

每年天数 · CMIP6

莫桑比克与索马里:35 °C 以上天数2014 年35 °C 以上天数:莫桑比克为 18.3 天,索马里为 58 天(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 39.7 天,是莫桑比克的 3.17 倍。
莫桑比克索马里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,索马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年莫桑比克为 59.1 天,索马里为 132.6 天。

逐年数据

每年天数 · CMIP6

年份莫桑比克索马里
201418.358
201321.158.1
201217.256
20111657.6
201016.557
200915.953
200815.651.3
20071751.1
200615.451.2
200515.751.9
20041652.6
200317.953
200216.451.4
200116.651.7
20001651.6
199913.950
199815.449.2
199714.248.2
199613.144.7
19951244.3
199410.842.8
19938.939
19921036.2
199111.846.9
199013.345.5
198913.843.4
198813.844.2
198712.744.2
198612.644.3
198510.440.6
198410.842.6
198310.839.7
198210.643.5
198111.944.6
19801144.8
197911.443.5
19781042.4
197711.342.1
19769.738.3
197512.139.4
197412.841.9
197311.140.8
197211.240.5
19711038.4
197011.738.2
19691239.6
196810.836.3
19678.835.4
19669.438.9
196510.735.3
19647.734.1
19639.335.8
196211.639.6
196111.642.1
196011.841
195912.240.6
195812.839.4
195711.240.9
19569.739
195512.540.6
195411.138.5
195310.340.3
195210.840.7
19519.941.3
195011.340.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份莫桑比克索马里
201520.110–33.461.244–78.5
2016199.5–34.660.241.9–78.7
201720.210.9–34.663.439.6–81.2
201820.99.6–35.46245.5–79.9
201919.910.7–31.762.444.6–82.9
202022.211.7–37.365.944–86.1
202118.79.6–32.264.146.7–83.1
20222312.6–37.467.847.3–88.5
202324.111.6–39.770.948.3–92.1
202424.114–38.172.751.4–92.7
2025227.9–40.667.148.6–93.9
202623.413–40.166.543.9–99.9
202726.213.1–49.967.147.5–96.2
202825.114.1–39.669.949.2–95.5
202927.512.3–45.474.150.6–96
203026.213.2–4672.553.5–97.1
20312512.7–43.27655.6–99.9
203226.515.1–40.974.752.3–98.3
203330.714–47.179.656.7–101.7
203429.516.2–48.376.456.7–102.6
203529.515.8–49.477.552.5–105.2
203626.814.3–45.476.753.9–100.7
203732.717.6–51.180.456.2–107.2
203834.318–53.580.359.3–108.7
203930.113.8–48.982.258.9–108.7
204027.915.4–47.981.357.4–113.8
204129.815.7–50.584.860.6–118.5
204233.418.1–50.18556.5–118.5
204331.416.9–56.783.660.2–115.7
20443216–55.586.862.5–117.6
204531.718–46.186.961.3–121.1
204634.118.4–51.392.160.2–126.6
204736.621.6–59.395.564.1–127.6
204836.322.3–58.895.969.2–124.6
20493418.6–57.496.966.8–131.6
205040.221.9–63.393.366.5–129.9
20514123.5–69.696.666.3–137.2
205242.322.5–6798.867.9–126.4
205338.816.6–62.196.765.5–130.9
20544321.5–71.691.563.1–130.8
205542.423.5–70.710168.8–131.1
205640.619.9–69.699.267.2–140.6
205742.221.9–67.898.171.7–135.6
205842.123.8–68.3100.566.1–140.3
205948.226.6–6910371.1–144.1
206043.822.1–68.9109.573.1–143.8
206143.421.8–65.5105.575.3–142.2
206243.223.3–72.1106.769.6–147.9
206344.226.7–71.111075.4–143.5
206443.325.1–66.1108.368.2–139.7
206547.823.2–78.9103.571.4–150.4
206646.724.4–77.2110.373.5–142.6
206739.722.3–71.6110.571.3–148.5
206846.923.9–80.2106.373.1–150.5
206947.925.4–78.3112.378.2–147.4
207043.424.1–73.6107.971.2–150.8
207150.924–79.9116.976–161.6
207252.526.1–78.811774–152.9
207355.726.7–85.9118.283.9–157.3
207448.227.5–82.4112.577.8–162.7
207548.826.1–77.111778.6–160.3
207648.425.3–80.712184.8–156.5
207752.230.5–85.4124.478.7–167.9
207851.326.3–81.4118.683–162
207950.928.6–84.5121.379.2–161
208055.329.2–86.1124.781.5–169.5
208153.225–83.8127.587.6–172.7
208248.228.9–82.3126.584.2–165.4
208352.429.3–84.7126.386.8–173.9
208453.729.4–80.2128.184.6–170.5
208558.431.9–88.8126.884.7–167.3
208651.229.5–81.613283.7–173
208752.328.8–85.2127.683.8–170.6
208859.226–92.2131.180.1–167.8
20895531.8–84.3128.383.8–169.7
209057.627.1–92.2134.390.9–176.1
209159.926.4–92.9130.987.6–178.4
209259.230.5–94.8133.685.4–169
209355.726.5–95.5133.794.2–185.6
209460.327.8–93.8130.490.9–173.8
209560.931.9–87.9132.593.5–175.3
209658.929.2–95.6136.290.3–181
209752.827.2–87.8129.288.6–176.1
20985930.9–94.6129.984.9–182.6
209960.330.9–92.3134.685.5–175.8
210059.132.4–93.7132.688.7–171.3

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

莫桑比克与索马里对比

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