斯威士兰与南非对比

斯威士兰与南非:热带夜

2014 年热带夜:斯威士兰为 54 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年斯威士兰的数值较高,高出 26.9 夜,是南非的 1.99 倍。

每年夜数 · CMIP6

斯威士兰与南非:热带夜2014 年热带夜:斯威士兰为 54 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年斯威士兰的数值较高,高出 26.9 夜,是南非的 1.99 倍。
斯威士兰南非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,斯威士兰的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年斯威士兰为 106.1 夜,南非为 58.7 夜。

逐年数据

每年夜数 · CMIP6

年份斯威士兰南非
20145427.1
201355.528.3
201253.227.9
20115526.1
201055.626
200950.425.8
200849.924.8
200750.524.7
200652.525.5
200552.225.3
200450.425.8
200352.325.1
200251.425
200152.124.5
200048.223.3
199949.323
199846.223.4
199747.122.5
199642.320.4
199545.719.3
19944420
199341.318.1
199240.518.1
199147.222.3
199048.122.7
198944.222
198848.721.2
198746.121.9
198644.321
19854318.9
198443.220
198341.819
198242.720.3
198142.220
198045.621.2
197942.919.9
197843.219.8
197743.319.2
197639.519.2
197541.218.8
197442.919.7
197343.319.6
197242.819
197141.519.1
197042.318.6
196940.518.7
196839.717.8
196739.917.5
196640.317.8
196538.917.2
196436.214.9
196338.716.5
196244.219.6
19614219.7
196044.419.8
195941.818.5
195843.319.3
195739.119.4
195639.518
195540.719.5
195441.418.4
195342.118.4
195241.119.3
19514018.9
195039.618.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份斯威士兰南非
20155746.8–73.728.620–39.5
201653.542.4–71.526.817.8–37.9
20175742.9–67.628.919.6–37.8
201856.545–7329.620.6–40.6
201957.749–79.429.820.8–41.5
202056.344–7329.518.9–39.1
202161.543.6–78.331.121.4–42.9
202262.450.4–75.23223.7–43.1
202362.750.2–74.931.922.9–41.8
202464.850.5–82.93324–45.6
202564.450.1–79.431.920.7–44.5
202665.145.2–85.134.521.9–46.9
202763.948.7–85.234.423–47.7
202864.448.8–77.933.522.9–46
202969.456.2–88.936.226.5–48.3
203067.652.7–79.436.124.9–49
203172.559–8836.324.5–50.3
203271.852.9–92.136.424.5–49.2
203366.751.3–8636.924.5–48.3
203467.954.1–84.937.626.4–51.8
203569.755.6–89.637.625.2–49.5
203670.553.2–86.73826.5–50.5
203772.758.2–8939.928.2–53.4
203877.361.6–93.441.528.4–54.2
203972.858–93.839.227–52.9
204076.356.3–91.338.125.6–55.6
204174.957.5–94.740.227.4–54.3
204278.159.8–98.84229–56.4
204378.259–95.142.128.2–58.4
204478.560–99.841.929.5–57.8
204576.461.4–96.742.728.2–59
20468260.8–105.944.130–59.5
204780.566.2–104.744.630.7–61.2
204879.766.9–105.84531.9–61.5
204981.961.9–104.545.632.3–61.4
205085.764.4–105.146.931–63.6
205186.967.2–105.247.532–65
205288.565.6–106.448.332.7–64.3
205384.965.5–107.845.733.7–62.1
20548265.3–107.34833.3–64.3
20558665.2–111.346.833–68.4
205688.769.2–108.847.933.2–64.8
205790.467–110.450.232.6–68.9
205885.668.9–110.547.934–66.4
205991.868.4–111.251.333.1–66.9
206088.669–112.951.936–69.9
20619169.1–111.750.534.8–71.3
206287.465.5–112.950.532.7–71
206389.670.7–118.350.434.3–69.7
206491.866.8–111.75134.1–67.7
206594.368–116.550.433.6–70.2
206694.771.4–118.35335.7–72.4
206788.863.9–116.450.634.8–70.4
206896.277.2–119.654.837.8–72.5
206994.972–118.154.339.1–73.4
207093.269.9–12054.337.2–73.3
207198.673.3–123.255.837.9–76.9
20729777.5–122.45639.4–78.6
207399.176.7–123.760.443.4–80.3
207496.674.7–12357.439.1–75.3
207598.472.8–123.556.137.7–76
2076100.872.6–120.758.538.4–75.3
207796.774–122.857.341–80.5
207896.174.1–129.45639.5–79
207990.871.2–124.357.639.3–78
2080103.372.6–126.559.540.3–80.9
208199.471.5–125.95841.5–79.6
208299.176.6–126.458.839.7–77.7
2083104.876.3–12660.839.1–82.9
2084106.975–128.762.540.4–82.9
208510780.2–134.660.741.3–87.6
2086105.479.5–130.760.542.1–83.3
2087102.574.8–130.257.941–82.9
2088109.378.6–132.364.243.4–85.3
2089103.477.8–128.461.541.3–81.2
2090103.573.3–139.261.641.5–86.8
2091106.477.3–138.363.341.6–86.3
2092108.280.1–138.563.144.9–84.8
2093106.980.9–138.862.443.2–86.1
2094106.880–134.563.145.6–87.4
2095111.375.8–141.665.342.6–91.7
2096102.173.1–146.56142.7–90.1
2097103.672–134.958.841.2–84.6
2098106.979.6–137.965.143.8–89.8
2099108.881.6–13864.345–87
2100106.178.5–138.758.742–88.2

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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

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