Burundi vs South Sudan

Burundi vs South Sudan: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 315.2 nights, or 12 times that in Burundi.

nights a year · CMIP6

Burundi vs South Sudan: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 315.2 nights, or 12 times that in Burundi.
BurundiSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Burundi at 67.4 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiSouth Sudan
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 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiSouth Sudan
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

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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