纳米比亚与南非对比

纳米比亚与南非:热带夜

2014 年热带夜:纳米比亚为 52.7 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年纳米比亚的数值较高,高出 25.6 夜,是南非的 1.94 倍。

每年夜数 · CMIP6

纳米比亚与南非:热带夜2014 年热带夜:纳米比亚为 52.7 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年纳米比亚的数值较高,高出 25.6 夜,是南非的 1.94 倍。
纳米比亚南非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,纳米比亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年纳米比亚为 123.3 夜,南非为 58.7 夜。

逐年数据

每年夜数 · CMIP6

年份纳米比亚南非
201452.727.1
201355.828.3
201256.627.9
201150.926.1
201050.626
200950.725.8
200846.824.8
200747.324.7
20064825.5
200548.425.3
200452.125.8
200349.925.1
20024925
200147.824.5
200044.123.3
199941.723
199845.223.4
199742.522.5
199636.220.4
199534.719.3
199435.720
199330.318.1
199228.918.1
19914222.3
199041.222.7
198939.422
198835.921.2
198737.621.9
19863721
198532.518.9
198432.420
198331.619
19823820.3
198135.120
198034.721.2
197932.719.9
197832.619.8
197731.219.2
197630.519.2
197531.318.8
197431.219.7
197332.219.6
197230.819
197130.319.1
197030.218.6
196930.318.7
19682817.8
196726.817.5
196628.417.8
196527.717.2
196422.814.9
19632516.5
196232.619.6
196132.319.7
196032.719.8
195932.618.5
195832.219.3
195734.119.4
195629.118
195532.319.5
195429.318.4
195330.118.4
195231.719.3
195131.118.9
195029.518.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份纳米比亚南非
201556.535.1–8128.620–39.5
201653.930–77.526.817.8–37.9
201757.432.9–77.828.919.6–37.8
20186133.9–84.329.620.6–40.6
201957.333.3–83.729.820.8–41.5
20206433.5–86.529.518.9–39.1
20216441.5–85.631.121.4–42.9
202269.446.9–95.63223.7–43.1
202367.846.3–87.431.922.9–41.8
202469.243.8–91.53324–45.6
202566.338.8–95.431.920.7–44.5
202672.941.8–97.834.521.9–46.9
202773.949.9–97.434.423–47.7
202873.846.6–100.633.522.9–46
202979.755.4–100.336.226.5–48.3
203075.249.3–99.436.124.9–49
203177.947.3–100.936.324.5–50.3
203282.154.2–10736.424.5–49.2
203381.956.4–104.836.924.5–48.3
203480.153.2–110.137.626.4–51.8
203580.152.1–105.937.625.2–49.5
203681.557.7–103.83826.5–50.5
203785.859.2–109.539.928.2–53.4
203887.665.4–112.541.528.4–54.2
203981.654.6–10839.227–52.9
204081.555.5–112.938.125.6–55.6
20418862.7–111.640.227.4–54.3
204284.761.3–117.54229–56.4
204385.161.2–116.542.128.2–58.4
204490.661.4–11841.929.5–57.8
204588.661.9–116.342.728.2–59
204694.869.3–122.844.130–59.5
204798.570.3–123.544.630.7–61.2
2048100.170.3–124.74531.9–61.5
2049101.775.1–125.945.632.3–61.4
20509971.5–127.846.931–63.6
2051100.771.4–127.747.532–65
2052100.275.5–132.648.332.7–64.3
2053100.876.7–126.845.733.7–62.1
2054104.773.3–132.44833.3–64.3
2055100.174–134.946.833–68.4
2056102.476.4–133.347.933.2–64.8
2057106.978.6–134.650.232.6–68.9
2058104.570.2–135.247.934–66.4
2059111.773.5–144.151.333.1–66.9
206010982.3–138.251.936–69.9
206111177.9–141.850.534.8–71.3
2062111.575.4–137.750.532.7–71
2063110.879.9–142.650.434.3–69.7
2064110.679.7–134.35134.1–67.7
206510978–140.650.433.6–70.2
2066114.280.8–143.75335.7–72.4
2067109.378.1–141.350.634.8–70.4
2068117.582.7–143.554.837.8–72.5
2069114.286.1–141.454.339.1–73.4
2070111.580.6–145.754.337.2–73.3
2071117.289–151.655.837.9–76.9
2072120.389.5–149.35639.4–78.6
2073124.799.2–148.460.443.4–80.3
2074120.883.8–151.357.439.1–75.3
2075115.485.4–147.856.137.7–76
2076120.286.6–149.158.538.4–75.3
2077124.895.6–152.457.341–80.5
2078119.291.1–151.25639.5–79
2079126.886.9–153.957.639.3–78
2080123.891.1–151.959.540.3–80.9
2081124.295.7–151.75841.5–79.6
2082120.993.2–149.758.839.7–77.7
2083119.181.5–153.960.839.1–82.9
2084125.996.3–155.262.540.4–82.9
208512695.5–159.360.741.3–87.6
2086123.295.9–16060.542.1–83.3
208712397.9–15857.941–82.9
2088128.197.6–157.164.243.4–85.3
2089125.596.5–153.361.541.3–81.2
2090127.199–162.361.641.5–86.8
2091129.495.7–162.863.341.6–86.3
2092131.4103–159.263.144.9–84.8
2093125.897.4–160.462.443.2–86.1
2094127.1100.7–161.563.145.6–87.4
2095132.196.5–163.665.342.6–91.7
2096130.293.7–163.56142.7–90.1
2097126.292–159.958.841.2–84.6
2098132.494.1–167.165.143.8–89.8
2099130.295–164.764.345–87
2100123.395.9–159.758.742–88.2

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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。

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