布隆迪与南苏丹对比

布隆迪与南苏丹:热带夜

2014 年热带夜:布隆迪为 28.5 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 315.2 夜,是布隆迪的 12 倍。

每年夜数 · CMIP6

布隆迪与南苏丹:热带夜2014 年热带夜:布隆迪为 28.5 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 315.2 夜,是布隆迪的 12 倍。
布隆迪南苏丹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,南苏丹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布隆迪为 67.4 夜,南苏丹为 361.1 夜。

逐年数据

每年夜数 · CMIP6

年份布隆迪南苏丹
201428.5343.7
201328.4342.1
201228.8342.8
201128.9343.3
201027.9341.9
200927.9338.8
200827.8339.8
200727.6336.9
200627.7339
200527.5336.8
200427.6336.6
200327.6338.9
200227.6336.6
200127.7338.7
200027.3334.6
199927.1331.8
199827.1333.6
199727.2334.5
199626.9330.7
199526.8329.6
199426.5328.2
199326.2321.9
199226.1321.5
199127329.1
199026.8332.6
198926.7329
198826.6330.5
198726.6328.8
198626.7330.4
198526.3327.1
198426.4324.1
198326.4322.8
198226.5322.8
198126.8329.9
198026.4326.5
197926.6325.3
197826.3324.1
197726.5325
197626.4322.6
197526.3320.8
197426.3320.1
197326.3325.4
197226.2324.7
197126.1319.9
197026.1322.3
196926.1318.5
196826318.3
196725.8315.6
196625.9317.2
196526.1316.5
196425.7312.9
196325.7309.8
196226.2323.9
196126.4323.3
196026.5324.8
195926.2321.5
195826.2320.2
195726.1322.1
195626.1319.5
195526.2317
195426.2322.4
195326.3321.6
195226.2322.4
195126.2323.9
195026.2318.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布隆迪南苏丹
201529.627–36342.7327.5–353.3
201628.826.7–32.5342.1325.1–351.1
20173027–33.7344.5326.9–353.7
201830.327.4–34.4344.1324.9–353.7
201929.727.4–33.7344.5324–354.2
202030.927.7–37.7344.9326.9–355.6
202130.627.8–37347.3329.2–355.3
202230.828.5–36.7344.5326.1–355.5
202330.528–36.7347.2329.2–357
202432.127.9–39350.4331.6–357.9
202531.527.1–38.7347.1330.2–357.7
202631.927.4–38.3347.6329.5–356.7
202731.427.9–37.9346327.1–356.1
202832.328.4–37.9349.4333.5–357.3
202933.229–38.9348.6337.5–355.6
203032.728.1–39.9349.3335.5–357.2
203133.930–40.9351.3336.3–357.6
203233.829.9–43.1348.6333.6–357.7
203334.129.6–43.1350.8336.7–359.4
203433.829.8–45.5350.2337.5–358.3
203535.228.9–43.2352.3331–359.5
203634.729.5–45.8352340.8–359.1
203736.830.3–48.2351.9337.4–359.5
203837.631.9–45.5354.3341.9–359.6
203936.929.5–47.7353.8340.6–360
20403630.7–49.3353.5338.7–360.2
204137.531.7–47.9353.2336.9–360.2
20423731.3–53.9351.9336.9–360.3
204336.829.7–48.4353.2336.2–359.5
204437.429.9–48.5353.7339.9–361.1
20453932–53.6353.7342.2–360.6
204642.631.9–57.3355.4342.2–361
204741.632.9–56.2355.7344–361.2
204843.232.5–57.9354.7342.5–361.6
204942.333.1–56.8356.7346.4–361.1
205043.331.4–55.8356.8345.6–361.7
205142.833–60356345.4–361.8
205244.333.2–62.1355.3343.8–362.2
205342.432.4–59.4355.5343.4–361.7
205444.532.8–68.5356.9345.2–362.1
205544.234.5–64.8356.9345–361.7
205644.132.4–63.2356.7345.7–363.1
205745.534.3–65.8358.4349.2–362.6
205848.132.4–69.9357.7345–361.8
205947.736.2–69.1358.6348.4–362.6
206049.734.6–73357.7344.7–363.8
206150.833.4–71.8358.2345.8–362.7
206249.534.2–78.1357.4345.2–363.1
206348.434.2–67.7358.8347.3–362.6
206452.134.6–70.5358.9348.4–363.3
206550.835.2–72.2359.1351.1–362.9
206651.336.5–72.8359.2350.6–363.1
206752.334.3–81.3358.6347.6–363.3
206851.335.2–81.5359.9350.3–364.4
206950.134–76357.6347–363.1
207050.835.4–83.9359.5350.4–363
207151.235.5–90.8359.6350.5–363.2
207253.338.9–80360.2348.4–364.2
207356.538.6–89359.3350.3–363.5
207453.736.7–82.1359.5348–363.3
207553.435–83359.9348.5–363.4
207658.636.5–90.7359.4350.5–364
207755.738.4–95.2359.9352.2–363.7
207855.938.6–89.1360351.2–363.4
207960.637.3–91.2359.8350.9–363.3
208061.638–89.4361.3349.8–364.6
208159.339.3–91.1360.4350.5–363.9
208261.139–95360.3351–363.3
208358.238.4–111.2360351.1–363.8
208465.239.6–104.5360.8350.8–364.9
208567.340.2–110.3361352.3–363.7
208661.340.8–104.5360.4352.5–364.1
208765.240.1–107.8359.7347.8–363.8
208866.340.9–101.4360.3352.2–364.7
208961.240.2–100.9360.2352.3–363.8
209059.540.9–115.5360.2351.3–363.9
209171.541.2–115.8360.9351.6–364.1
209264.742.1–120.7360.7352.4–364.7
209367.341.4–113.8361.6354.1–363.9
209467.342.1–115.2361.3353.8–364.3
209572.544.4–126.1361.5353.2–364
209665.841.2–122.9361.1352.8–365.1
209763.939.5–121.8360.7351.9–364.2
209868.640.3–128.1361.5352.6–364.1
209963.440.9–122.9361.2352.4–364.1
210067.441.2–126.5361.1352.6–364.2

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

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