卢旺达与塞内加尔对比

卢旺达与塞内加尔:热带夜

2014 年热带夜:卢旺达为 2.4 夜,塞内加尔为 302.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 299.7 夜,是卢旺达的 130 倍。

每年夜数 · CMIP6

卢旺达与塞内加尔:热带夜2014 年热带夜:卢旺达为 2.4 夜,塞内加尔为 302.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 299.7 夜,是卢旺达的 130 倍。
卢旺达塞内加尔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,塞内加尔的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年卢旺达为 34.2 夜,塞内加尔为 347.3 夜。

逐年数据

每年夜数 · CMIP6

年份卢旺达塞内加尔
20142.4302.1
20132.8300.9
20122.9304.1
20112.7302.1
20102.3301.5
20092.5302.1
20082298.3
20071.9298.5
20062.2298.6
20052298.1
20041.8294.7
20031.8296.1
20022.4296
20012.4298.9
20001.7295
19991.6293.2
19981.5292.5
19971288.5
19961.1285.1
19951.1285.9
19941.2283.7
19930.9282
19920.6277.6
19911.2286.7
19901.7292.5
19891.5282.1
19881.2282.4
19871.3281.8
19861.2283
19850.8278.1
19841274.6
19830.9276.3
19820.8281.3
19811.1277.9
19801.1277.6
19790.9281
19780.7280.7
19771.1278
19760.8274.4
19751278.4
19740.9273.8
19731.3274.5
19720.7273.5
19710.7273.4
19700.6271.3
19690.8271.6
19680.8272.6
19670.5275.4
19660.6273.3
19650.6272.8
19640.4271.8
19630.6272.8
19620.9280.2
19610.8276.9
19601.1279.2
19590.7277.4
19580.9278.8
19570.8274.4
19560.7273.2
19550.8273.4
19540.9275
19530.8271.7
19520.8271
19511272.9
19500.9270.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份卢旺达塞内加尔
20153.41.5–7.6298.9275.9–321
20162.91.2–5.6302.7276.5–319
20173.41.8–5.5302.9285.4–318.6
20183.81.8–7.1305.6289.2–321.5
20193.61.3–6.9307.6280.6–328.1
20204.32.1–7.9305.2276.2–322.9
20214.22.6–7.5307.6286–325.6
202242.9–7.8312.9289.6–334.3
20234.41.9–8.4307.5292.2–328.6
202452–9.6313.2294.6–326.9
20254.42.1–9.5311.8289–329.4
20264.81.7–8.9308.3285.2–328.6
20274.92.1–8.7310.7287.8–330
20285.21.7–8.7316.3289.2–331.6
20295.43–9.2315.7291.2–334.2
20305.33.1–10.2311.5289.1–329.1
20316.63.4–10.4318.8296.3–335
20326.34–12.2316295.7–332.4
20336.52.8–12316.7289.6–336.4
20346.13.3–12.4315.4291.6–335.1
20356.83.2–12.7316.8291.1–335.3
20366.83.7–12.7320.8298.5–335.3
20377.94.3–14.6324.5303.1–337.7
20388.44.1–15.3323.5304.2–339.7
20397.23.6–15.9323.3300.9–337
20407.74.3–14.8322.4298.9–339.5
20418.44.7–15320.2300.1–343.6
20428.44.4–20.2320302.1–339.9
20437.83.8–16.5320.4303.7–340.4
20447.24.1–14.5326.9301.5–340.9
20459.24.6–21324.1304.1–340
2046124.6–24.1325.9304.7–340.6
204711.25.4–26329301.4–347
204811.74.6–25.4331.1314.3–344.8
204912.25.7–26.7331.3308.3–343.7
205011.75.4–22.9327.6306.5–341.9
205112.36.4–24328307.1–344
205214.56–26.1325.4308.1–344.2
205312.55–23.9331.8304.9–347.2
205412.85.6–34.3330.1310.8–345.2
205512.66.2–32.8330.1305.5–344
2056145.6–31.6331.4307.4–349.8
205714.96–32.3337306.4–351.5
205815.15.3–38.7333313.2–350.2
205914.96.7–38.1334315.6–353.5
206018.46.1–38.2334.5316.4–351.1
206116.65.9–40.7333.7307.5–352.9
206217.25.6–49.3333.3312.4–350.2
206316.46.3–39.1335.4313.2–352.8
206421.76.3–40.1335.4307.1–351.1
206517.17.2–40.5334.8314.1–352.8
206618.37.2–42.5337.3312.9–351
206716.86.3–50.2335.5309.9–349.9
206819.76.6–53.2335.5313.5–354
206917.66–55336.1316.9–351.8
207018.17.6–53.8333.3312.9–352.9
207119.36.3–60335.7321.1–351.9
207222.18.7–49.3342.3321–354.6
207324.39.2–61.7339.4320.1–356.1
207423.28.3–57.2335.9317.1–351.8
207521.86.3–53.9338.4320.7–354.1
207626.77–59.7338.7321.9–352
207724.19.1–64.8342.8314.8–357.3
207821.48.3–62.1343325.8–355.4
207926.47.8–64.8341.2322.3–357.6
208028.78.2–62.2340.9317.7–358.1
208125.79–66.4339.8315.5–357.1
208227.59.2–63.2341.6316.4–354.9
208331.68.7–87340.8324.8–356.9
208431.39.4–78.4340.4322.8–354.9
208535.29.2–79.6346.8325.6–357
2086299.7–76.5341.7324.4–357.6
208730.69.5–80343.9325.9–357.7
208832.59.4–76.8341.5321.6–358.2
208927.49.3–82.1343.2324.3–355.2
209025.911.4–96.6342320.6–356
209143.28.7–89.1341.7319.8–356.4
209233.910.5–89.6339.7318.4–357.7
209335.510.9–91345326.8–356.4
209434.79.4–91.6344.4324.3–357.6
209540.412.9–106.1346.3320.6–359.4
209635.99.8–99.9344.4323.1–359.2
209732.69.9–89.6341.4321.3–353.8
209835.69.8–105.9345322.3–357
209932.810.9–105.8344.6322.7–357.5
210034.211.1–102.5347.3323.6–359.2

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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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