喀麦隆与科特迪瓦对比

喀麦隆与科特迪瓦:35 °C 以上天数

2014 年35 °C 以上天数:喀麦隆为 31.6 天,科特迪瓦为 36.4 天(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 4.7 天,是喀麦隆的 1.15 倍。

每年天数 · CMIP6

喀麦隆与科特迪瓦:35 °C 以上天数2014 年35 °C 以上天数:喀麦隆为 31.6 天,科特迪瓦为 36.4 天(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 4.7 天,是喀麦隆的 1.15 倍。
喀麦隆科特迪瓦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 1997 年超过喀麦隆以来,科特迪瓦的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 59.6 天,科特迪瓦为 110.6 天。

逐年数据

每年天数 · CMIP6

年份喀麦隆科特迪瓦
201431.636.4
201330.137.7
201230.435
201130.535.7
201029.333.9
200928.832.7
200828.129.4
200727.431
200628.229.7
200527.532.3
200428.133.6
200328.830.8
200228.431.2
200129.932.8
20002730.7
199925.929.5
19982629.1
199727.128.5
199625.322
199525.623.7
199424.523.7
199324.119.8
199222.518.4
199127.427.1
19902728.5
198925.424.1
198826.726.3
198725.325.3
198626.725.7
198524.524.4
198424.924.5
198324.624.3
198225.925.5
198125.825.4
19802523.3
197925.724.1
19782523.9
197724.623.5
197623.622.4
197524.821.1
197424.222.5
197325.222.7
197224.321.3
197123.421.8
19702421.6
196924.223.9
196823.420.1
196724.518.6
196624.322.3
196524.219.2
19642214.2
196323.422.2
196225.423.5
196125.822.7
196025.625.2
195924.723.5
195825.324.4
195725.321.8
195623.821.9
195525.125
195424.822.3
195325.620.9
19522521
19512624.3
195025.121.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份喀麦隆科特迪瓦
201531.222.9–39.339.425–57.3
201629.121.2–36.535.216.8–50.3
201730.421.9–39.53620.5–51.5
201830.721.4–41.437.619–57.1
201929.421.7–40.537.320.4–58.7
202030.621.3–39.238.122.5–63
202130.722.7–38.539.826.1–54.4
202232.223.4–434525.4–64.1
202330.723.6–41.240.323.9–55.9
20243325.6–42.543.329.5–64.3
202532.624.9–40.644.224.5–59.9
202630.920.8–42.944.322.5–67
20273321.9–4344.518.2–68.2
202833.124–44.145.423.3–70.2
202934.725.7–46.948.427.4–73.1
203034.824.2–46.347.826.8–74.8
203134.723.8–45.349.926.4–70.3
203235.123.5–47.150.425–75.3
203335.224.1–50.753.229.1–74.9
203433.524.8–4651.430.2–72.8
203534.524–48.35128.1–75.7
203633.624.2–46.550.925.8–79.3
203737.324.3–51.960.830–84.2
203838.726.6–53.760.135.1–86.1
203935.526.4–48.456.536.2–81.3
204035.624.7–51.254.231.5–91.5
204139.628.3–52.56539.9–87.6
204238.925.8–53.86137–84.8
204337.527.5–50.256.936.2–84.4
204437.926.5–52.962.538.5–92.4
204538.927.8–50.36638.2–93.7
204643.427.8–55.867.336.4–92.2
204742.528.4–58.271.837.3–96.2
204841.429.2–54.967.544.2–94.9
204943.828.1–6067.342.7–100.2
205039.727.7–5962.941–102.8
205140.630.6–61.367.939.3–102.7
205244.528.6–58.375.641.4–107
20534229.4–60.569.643.7–109.3
205444.529.6–62.172.942.2–107.6
205544.831–62.277.446.2–112.6
205644.930.7–63.775.246.8–112.7
205749.632.5–67.380.146.7–110.5
205844.632.3–61.776.444.6–105.3
205946.333.1–63.677.848.5–119.8
206048.731.9–68.381.649.8–115.6
206147.429.7–68.682.447.9–117.4
206246.630.6–66.673.847.7–115.8
206348.631.3–68.483.655.4–125.6
206448.831.6–68.980.148.8–114.1
206548.833.3–71.886.652.1–119
206648.534.7–71.479.854.4–119.2
206747.132.9–68.28152.6–119.3
206848.631.9–72.787.151.2–124.3
206950.231.8–71.99049.1–129.5
207049.630.2–76.782.945.1–131.3
20715134.8–74.181.952.8–131.5
20725235.8–73.589.453–124.2
207352.734.3–81.694.850–142.1
207450.132.7–76.483.553.4–142.6
207551.933.4–74.389.751.6–131.7
207650.835.2–79.396.257.8–132
207757.834.8–81.898.950.4–141.2
207853.734.2–79.59157.1–137.8
20795336.1–79.294.156.6–139.9
208055.133.1–79103.354.6–141.4
208154.534.1–86.296.658.5–139.2
208252.434.5–83.298.855.7–136.5
208354.336.6–85.899.660.7–141.8
20845534.6–81.198.557.3–141.8
208557.636.9–84.5108.660.6–148.6
208655.935–85.6102.359.9–144.7
208752.634.7–88.199.854.5–143.3
208855.837.5–84.3101.756.4–138
208954.734.9–87.889.560.4–138.3
209055.236.5–8498.358.5–146.7
20915935.8–85103.466.1–145.8
209260.238–82.4109.559.6–150.7
209356.838.2–96.1102.561.4–163.2
209458.540–85.8102.361.8–153.6
209561.835.2–92.3115.160.6–159.8
209657.336.3–92.4104.661.5–158.1
209753.236.8–84.896.659.8–152.6
209857.236.6–89.810959.4–154
209959.737.2–92.7107.653.7–164.1
210059.636.4–89.9110.666.8–162

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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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