卢旺达与乌干达对比

卢旺达与乌干达:热带夜

2014 年热带夜:卢旺达为 2.4 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年乌干达的数值较高,高出 122.3 夜,是卢旺达的 53 倍。

每年夜数 · CMIP6

卢旺达与乌干达:热带夜2014 年热带夜:卢旺达为 2.4 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年乌干达的数值较高,高出 122.3 夜,是卢旺达的 53 倍。
卢旺达乌干达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,乌干达的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年卢旺达为 34.2 夜,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份卢旺达乌干达
20142.4124.7
20132.8124
20122.9122.2
20112.7125.7
20102.3122.5
20092.5114.8
20082114.1
20071.9111.2
20062.2117.4
20052113.8
20041.8114.6
20031.8114.4
20022.4114.4
20012.4117.1
20001.7109
19991.6105.5
19981.5105
19971106.1
19961.1102.1
19951.199.9
19941.294.6
19930.990.8
19920.689.9
19911.2102.1
19901.7103.8
19891.599.1
19881.298.6
19871.398.3
19861.299.2
19850.892.1
1984194.6
19830.990.4
19820.894.4
19811.198.5
19801.196.3
19790.993.9
19780.791
19771.195.1
19760.892
1975189.6
19740.991.8
19731.392.8
19720.790
19710.787.1
19700.688.8
19690.888
19680.887.3
19670.582.3
19660.682.5
19650.682.2
19640.478.2
19630.680.3
19620.988.5
19610.890.7
19601.193.2
19590.791.3
19580.988.7
19570.890.1
19560.788.8
19550.889
19540.989.5
19530.889
19520.889.6
1951191.1
19500.987.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份卢旺达乌干达
20153.41.5–7.6131.598.6–164.1
20162.91.2–5.612398.5–154.1
20173.41.8–5.5133.7108.6–162.7
20183.81.8–7.1134.2102.5–164
20193.61.3–6.9131.3104.8–166.2
20204.32.1–7.9140.7102.6–171.5
20214.22.6–7.5137.9112.9–175.4
202242.9–7.8140116.2–169.9
20234.41.9–8.4140.4114.2–184.8
202452–9.6151.1113.5–186.7
20254.42.1–9.5143108.5–176.4
20264.81.7–8.9144.6109.7–179.6
20274.92.1–8.7147.6116–175.4
20285.21.7–8.7151.6120.2–179.6
20295.43–9.2155.2127.3–178.6
20305.33.1–10.2150.4117.6–185.1
20316.63.4–10.4161.6132–187.2
20326.34–12.2159.1134.2–190.5
20336.52.8–12158.9123.4–200.6
20346.13.3–12.4161.5135.6–202.5
20356.83.2–12.7164.9126.3–193
20366.83.7–12.7158.5127.7–195.4
20377.94.3–14.6168.3138.2–207.3
20388.44.1–15.3173.8139.7–206.2
20397.23.6–15.9171.2130.1–205
20407.74.3–14.8170.4134.1–207.4
20418.44.7–15176.3144.6–208
20428.44.4–20.2175137.8–214.3
20437.83.8–16.5173.6132.8–207.6
20447.24.1–14.5176.1136.8–206.9
20459.24.6–21178.9138.3–217.7
2046124.6–24.1191.9136.6–235
204711.25.4–26187.7156.6–225.3
204811.74.6–25.4189.3151.5–227.4
204912.25.7–26.7195.1154.9–233.6
205011.75.4–22.9191150.7–236.4
205112.36.4–24191.2154.4–228.2
205214.56–26.1192.6157.7–231.7
205312.55–23.9194.5149.7–233.5
205412.85.6–34.3199156.3–236.8
205512.66.2–32.8201.3151.7–240.7
2056145.6–31.6198.9156.9–240.2
205714.96–32.3200165.5–244.7
205815.15.3–38.7208.8156.5–248.3
205914.96.7–38.1212.7171.1–254
206018.46.1–38.2212.6160.3–253.1
206116.65.9–40.7208.9162.4–258.1
206217.25.6–49.3206.4159.1–267.6
206316.46.3–39.1209.3168.5–246.3
206421.76.3–40.1210.6166.2–253.8
206517.17.2–40.5214.5167.8–261.1
206618.37.2–42.5211.9171.8–256.1
206716.86.3–50.2208.4168.3–269.8
206819.76.6–53.2216.4169.7–268.7
206917.66–55213170.3–268.1
207018.17.6–53.8216.4176.4–270.9
207119.36.3–60215.5174.6–273.5
207222.18.7–49.3227.3184.1–272.3
207324.39.2–61.7230.4189.3–278.5
207423.28.3–57.2220.7176.9–277
207521.86.3–53.9217.7167–274.2
207626.77–59.7228.1178.9–279
207724.19.1–64.8229.5189.6–280.5
207821.48.3–62.1225.6187.8–276.4
207926.47.8–64.8231.9168.8–277.7
208028.78.2–62.2232.8182.6–283.1
208125.79–66.4227.9187.6–279.3
208227.59.2–63.2233.1185.6–279.4
208331.68.7–87232.2175.7–297
208431.39.4–78.4237.2185.5–288.8
208535.29.2–79.6239.5192.4–291.7
2086299.7–76.5236.2189.8–289.4
208730.69.5–80239.4188.9–294
208832.59.4–76.8236.8193.6–288.9
208927.49.3–82.1238.8193.8–293.7
209025.911.4–96.6237.7190.1–301.5
209143.28.7–89.1251188.7–300.1
209233.910.5–89.6243.4194.9–297.8
209335.510.9–91244.4199.2–296.8
209434.79.4–91.6245.6202.9–299.8
209540.412.9–106.1253.2202.4–306.1
209635.99.8–99.9241.4196.5–304
209732.69.9–89.6243.1194–296.6
209835.69.8–105.9242.9199–302.3
209932.810.9–105.8247.3194.4–306.1
210034.211.1–102.5245.3195.5–307.2

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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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