意大利与南非对比

意大利与南非:热带夜

2014 年热带夜:意大利为 26.3 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年南非的数值较高,高出 0.8 夜,是意大利的 1.03 倍。

每年夜数 · CMIP6

意大利与南非:热带夜2014 年热带夜:意大利为 26.3 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年南非的数值较高,高出 0.8 夜,是意大利的 1.03 倍。
意大利南非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 2011 年超过意大利以来,南非的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年意大利为 65.1 夜,南非为 58.7 夜。

逐年数据

每年夜数 · CMIP6

年份意大利南非
201426.327.1
201324.728.3
201224.827.9
201124.626.1
201027.126
200923.725.8
200824.124.8
200721.524.7
200624.625.5
200522.525.3
200424.525.8
200323.825.1
200220.625
200120.824.5
200021.723.3
199920.323
199818.923.4
199718.922.5
199618.920.4
199517.919.3
199417.420
199316.318.1
199215.118.1
19911822.3
199018.222.7
198916.622
198815.521.2
19871621.9
19861521
198514.518.9
198415.720
198315.319
198214.120.3
198115.320
198015.921.2
197914.519.9
197816.519.8
197713.519.2
197613.819.2
19751418.8
197414.819.7
197313.519.6
197213.719
197115.319.1
19701418.6
196914.518.7
196813.817.8
196713.617.5
196613.217.8
196512.817.2
196413.214.9
196314.216.5
196215.519.6
196113.919.7
196014.919.8
195916.618.5
195814.419.3
195715.519.4
195616.718
195516.619.5
195415.718.4
195315.418.4
195216.619.3
19511618.9
195015.318.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份意大利南非
20153021.7–40.428.620–39.5
201629.618–42.226.817.8–37.9
201731.820.2–43.728.919.6–37.8
20183122–44.329.620.6–40.6
201931.521.3–43.229.820.8–41.5
202031.619.7–44.329.518.9–39.1
20213420.8–46.931.121.4–42.9
202237.121.3–50.63223.7–43.1
202333.121.3–47.431.922.9–41.8
202435.521.6–48.43324–45.6
202537.720.5–51.131.920.7–44.5
202638.926.6–52.234.521.9–46.9
202734.322.4–49.734.423–47.7
202837.724.4–53.133.522.9–46
202937.824.9–5536.226.5–48.3
203037.925.7–54.736.124.9–49
203137.223.8–5136.324.5–50.3
203239.226.2–53.836.424.5–49.2
203340.426–50.336.924.5–48.3
203442.525.1–57.237.626.4–51.8
203542.728.9–58.337.625.2–49.5
203641.127.7–59.93826.5–50.5
20374328.1–54.839.928.2–53.4
203841.628.5–61.341.528.4–54.2
20394129.4–56.439.227–52.9
204042.428.1–59.138.125.6–55.6
204141.927.2–58.740.227.4–54.3
204243.529.6–594229–56.4
20434528.7–59.542.128.2–58.4
204444.929.4–59.941.929.5–57.8
204545.230.3–59.242.728.2–59
20464627.3–62.444.130–59.5
204749.132.4–63.644.630.7–61.2
204846.228.3–65.74531.9–61.5
204948.229.5–65.745.632.3–61.4
205049.536.4–64.446.931–63.6
205148.831.6–68.347.532–65
205250.330.9–68.148.332.7–64.3
205348.235.9–6745.733.7–62.1
205449.435.3–66.14833.3–64.3
205552.233.7–67.746.833–68.4
205650.836.2–71.647.933.2–64.8
205750.232.8–65.650.232.6–68.9
205855.337.5–70.847.934–66.4
205951.934.5–74.151.333.1–66.9
206052.938.2–68.151.936–69.9
206154.338.3–69.850.534.8–71.3
206253.936.9–6950.532.7–71
206356.437.6–72.150.434.3–69.7
206455.938.5–71.35134.1–67.7
20655537.3–73.350.433.6–70.2
206653.935.8–73.85335.7–72.4
206761.141.2–76.650.634.8–70.4
206856.241.7–7354.837.8–72.5
206958.741.8–7354.339.1–73.4
207055.738.9–74.454.337.2–73.3
207159.637.8–76.655.837.9–76.9
207259.643.5–74.65639.4–78.6
207356.939.4–71.660.443.4–80.3
207454.836.7–73.757.439.1–75.3
207556.941.8–75.456.137.7–76
207659.941.9–77.758.538.4–75.3
207757.437.9–74.157.341–80.5
207860.540.5–80.75639.5–79
207960.637.1–83.357.639.3–78
208059.743.1–7859.540.3–80.9
20815943.7–78.95841.5–79.6
208263.945.5–80.258.839.7–77.7
208360.842–79.760.839.1–82.9
208462.547.3–82.162.540.4–82.9
208565.246.3–7960.741.3–87.6
208664.445.6–80.160.542.1–83.3
208763.743.8–8457.941–82.9
208867.247.4–84.464.243.4–85.3
208964.546–82.961.541.3–81.2
209065.842.8–80.561.641.5–86.8
209166.745.3–84.763.341.6–86.3
209264.838.5–82.363.144.9–84.8
209363.644.7–8362.443.2–86.1
209462.445–8263.145.6–87.4
20956643.6–83.565.342.6–91.7
20966542.9–85.86142.7–90.1
209765.844.9–84.458.841.2–84.6
209864.647.9–84.265.143.8–89.8
209967.742.2–81.964.345–87
210065.142.5–83.258.742–88.2

分别查看各国

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

意大利与南非对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境