卢旺达与坦桑尼亚对比

卢旺达与坦桑尼亚:热带夜

2014 年热带夜:卢旺达为 2.4 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 103.9 夜,是卢旺达的 45 倍。

每年夜数 · CMIP6

卢旺达与坦桑尼亚:热带夜2014 年热带夜:卢旺达为 2.4 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 103.9 夜,是卢旺达的 45 倍。
卢旺达坦桑尼亚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,坦桑尼亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年卢旺达为 34.2 夜,坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份卢旺达坦桑尼亚
20142.4106.3
20132.8105.5
20122.9108.4
20112.7109
20102.3103.9
20092.5101.1
20082100.3
20071.999.5
20062.2100.4
2005298.7
20041.8100.4
20031.899.6
20022.498.4
20012.4101.5
20001.794.9
19991.694.2
19981.596.8
1997193.5
19961.189.6
19951.188.5
19941.285.4
19930.981.2
19920.680.1
19911.289.6
19901.791.1
19891.589.1
19881.287.6
19871.388.5
19861.289.4
19850.883
1984183.1
19830.982.1
19820.884.8
19811.188
19801.185
19790.985.5
19780.782.9
19771.184.1
19760.881
1975180.8
19740.982.2
19731.383.6
19720.781.4
19710.780.7
19700.681.8
19690.879.5
19680.879.1
19670.577.5
19660.678.1
19650.678
19640.473.8
19630.673.1
19620.981.1
19610.882.6
19601.183.9
19590.781.4
19580.982.1
19570.880.9
19560.780
19550.881.6
19540.981.4
19530.880.6
19520.881.4
1951182.1
19500.980.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份卢旺达坦桑尼亚
20153.41.5–7.6114.895.2–137.4
20162.91.2–5.6108.391.6–125.6
20173.41.8–5.5114.893.6–137.8
20183.81.8–7.1116.497.4–137.1
20193.61.3–6.9113.495.2–133.2
20204.32.1–7.9119.396.2–143.5
20214.22.6–7.5119.5100.9–147.1
202242.9–7.8124.4105.3–147.4
20234.41.9–8.4122.1102.1–147.8
202452–9.6126.2100–150.1
20254.42.1–9.5124.6100.9–154
20264.81.7–8.9126.999.1–155.6
20274.92.1–8.7128102.9–147.7
20285.21.7–8.7129.9106.4–152.1
20295.43–9.2134.1111–156.5
20305.33.1–10.2129.4106.4–151.1
20316.63.4–10.4136.4115.9–158.4
20326.34–12.2135.1114–166.8
20336.52.8–12135.2110.9–161.9
20346.13.3–12.4134.7112.5–166.3
20356.83.2–12.7140.2114.6–165
20366.83.7–12.7137.8113.3–165.5
20377.94.3–14.6142.9121.5–168.9
20388.44.1–15.3147.9124.3–169.3
20397.23.6–15.9144.3117.6–171.3
20407.74.3–14.8140.5117–178
20418.44.7–15149.1121.7–175.6
20428.44.4–20.2146.3120.5–185.3
20437.83.8–16.5144.6117–173
20447.24.1–14.5147.7121.2–175.8
20459.24.6–21150.1125.2–183.4
2046124.6–24.1161.5128.6–192.2
204711.25.4–26160.2129.7–194.4
204811.74.6–25.4158.8132.7–193.1
204912.25.7–26.7157.6131.1–196
205011.75.4–22.9159.7127.8–192
205112.36.4–24163.2135.5–197.8
205214.56–26.1161.9136.2–199.1
205312.55–23.9160.6127.5–197.7
205412.85.6–34.3163.2131.5–200.2
205512.66.2–32.8167.4137–208.3
2056145.6–31.6166.4130.8–209.7
205714.96–32.3168134.6–208.3
205815.15.3–38.7168.7134.9–210.3
205914.96.7–38.1174.7144.9–219.5
206018.46.1–38.2181.7138.1–219.8
206116.65.9–40.7171.8135.5–218.1
206217.25.6–49.3177.5139.9–224
206316.46.3–39.1181.4140.1–213.8
206421.76.3–40.1185.3140.1–215.2
206517.17.2–40.5183.5141.1–221.8
206618.37.2–42.5181.9146.3–219.3
206716.86.3–50.2178.8138.8–229.2
206819.76.6–53.2186144.2–228.4
206917.66–55183.7141.7–225.3
207018.17.6–53.8180.7140.4–228.2
207119.36.3–60184.9146.9–235.2
207222.18.7–49.3191.3155–226.1
207324.39.2–61.7191.6152.4–235.6
207423.28.3–57.2183.3149.7–231.7
207521.86.3–53.9183.8144.8–233
207626.77–59.7191.1150.9–233.2
207724.19.1–64.8191.3152.6–238.2
207821.48.3–62.1189156.6–233.8
207926.47.8–64.8190.5147–237.3
208028.78.2–62.2197.3150.7–241.2
208125.79–66.4195.6153.4–237.4
208227.59.2–63.2194.5157.3–237.3
208331.68.7–87193.2151–249.8
208431.39.4–78.4201.1152.2–246.7
208535.29.2–79.6204.2162.3–252.3
2086299.7–76.5195156–248.7
208730.69.5–80196.7160.8–244.5
208832.59.4–76.8208.4154.7–246.9
208927.49.3–82.1201.3158.6–248.2
209025.911.4–96.6197.9160.7–253.6
209143.28.7–89.1210161.6–256
209233.910.5–89.6205.8158.3–253.6
209335.510.9–91207.2161.2–251.9
209434.79.4–91.6207.9161.3–250.6
209540.412.9–106.1214.2166.4–258.5
209635.99.8–99.9205.3159.8–257.4
209732.69.9–89.6206.6158.4–256.8
209835.69.8–105.9209.1161–258.3
209932.810.9–105.8208.5160.1–256
210034.211.1–102.5208158.6–258.6

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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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