South Africa vs South Sudan

South Africa vs South Sudan: Tropical nights

Tropical nights in 2014: 27.1 nights in South Africa and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 316.6 nights, or 13 times that in South Africa.

nights a year · CMIP6

South Africa vs South Sudan: Tropical nightsTropical nights in 2014: 27.1 nights in South Africa and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 316.6 nights, or 13 times that in South Africa.
South AfricaSouth 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 South Africa at 58.7 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearSouth AfricaSouth Sudan
201427.1343.7
201328.3342.1
201227.9342.8
201126.1343.3
201026341.9
200925.8338.8
200824.8339.8
200724.7336.9
200625.5339
200525.3336.8
200425.8336.6
200325.1338.9
200225336.6
200124.5338.7
200023.3334.6
199923331.8
199823.4333.6
199722.5334.5
199620.4330.7
199519.3329.6
199420328.2
199318.1321.9
199218.1321.5
199122.3329.1
199022.7332.6
198922329
198821.2330.5
198721.9328.8
198621330.4
198518.9327.1
198420324.1
198319322.8
198220.3322.8
198120329.9
198021.2326.5
197919.9325.3
197819.8324.1
197719.2325
197619.2322.6
197518.8320.8
197419.7320.1
197319.6325.4
197219324.7
197119.1319.9
197018.6322.3
196918.7318.5
196817.8318.3
196717.5315.6
196617.8317.2
196517.2316.5
196414.9312.9
196316.5309.8
196219.6323.9
196119.7323.3
196019.8324.8
195918.5321.5
195819.3320.2
195719.4322.1
195618319.5
195519.5317
195418.4322.4
195318.4321.6
195219.3322.4
195118.9323.9
195018.1318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth AfricaSouth Sudan
201528.620–39.5342.7327.5–353.3
201626.817.8–37.9342.1325.1–351.1
201728.919.6–37.8344.5326.9–353.7
201829.620.6–40.6344.1324.9–353.7
201929.820.8–41.5344.5324–354.2
202029.518.9–39.1344.9326.9–355.6
202131.121.4–42.9347.3329.2–355.3
20223223.7–43.1344.5326.1–355.5
202331.922.9–41.8347.2329.2–357
20243324–45.6350.4331.6–357.9
202531.920.7–44.5347.1330.2–357.7
202634.521.9–46.9347.6329.5–356.7
202734.423–47.7346327.1–356.1
202833.522.9–46349.4333.5–357.3
202936.226.5–48.3348.6337.5–355.6
203036.124.9–49349.3335.5–357.2
203136.324.5–50.3351.3336.3–357.6
203236.424.5–49.2348.6333.6–357.7
203336.924.5–48.3350.8336.7–359.4
203437.626.4–51.8350.2337.5–358.3
203537.625.2–49.5352.3331–359.5
20363826.5–50.5352340.8–359.1
203739.928.2–53.4351.9337.4–359.5
203841.528.4–54.2354.3341.9–359.6
203939.227–52.9353.8340.6–360
204038.125.6–55.6353.5338.7–360.2
204140.227.4–54.3353.2336.9–360.2
20424229–56.4351.9336.9–360.3
204342.128.2–58.4353.2336.2–359.5
204441.929.5–57.8353.7339.9–361.1
204542.728.2–59353.7342.2–360.6
204644.130–59.5355.4342.2–361
204744.630.7–61.2355.7344–361.2
20484531.9–61.5354.7342.5–361.6
204945.632.3–61.4356.7346.4–361.1
205046.931–63.6356.8345.6–361.7
205147.532–65356345.4–361.8
205248.332.7–64.3355.3343.8–362.2
205345.733.7–62.1355.5343.4–361.7
20544833.3–64.3356.9345.2–362.1
205546.833–68.4356.9345–361.7
205647.933.2–64.8356.7345.7–363.1
205750.232.6–68.9358.4349.2–362.6
205847.934–66.4357.7345–361.8
205951.333.1–66.9358.6348.4–362.6
206051.936–69.9357.7344.7–363.8
206150.534.8–71.3358.2345.8–362.7
206250.532.7–71357.4345.2–363.1
206350.434.3–69.7358.8347.3–362.6
20645134.1–67.7358.9348.4–363.3
206550.433.6–70.2359.1351.1–362.9
20665335.7–72.4359.2350.6–363.1
206750.634.8–70.4358.6347.6–363.3
206854.837.8–72.5359.9350.3–364.4
206954.339.1–73.4357.6347–363.1
207054.337.2–73.3359.5350.4–363
207155.837.9–76.9359.6350.5–363.2
20725639.4–78.6360.2348.4–364.2
207360.443.4–80.3359.3350.3–363.5
207457.439.1–75.3359.5348–363.3
207556.137.7–76359.9348.5–363.4
207658.538.4–75.3359.4350.5–364
207757.341–80.5359.9352.2–363.7
20785639.5–79360351.2–363.4
207957.639.3–78359.8350.9–363.3
208059.540.3–80.9361.3349.8–364.6
20815841.5–79.6360.4350.5–363.9
208258.839.7–77.7360.3351–363.3
208360.839.1–82.9360351.1–363.8
208462.540.4–82.9360.8350.8–364.9
208560.741.3–87.6361352.3–363.7
208660.542.1–83.3360.4352.5–364.1
208757.941–82.9359.7347.8–363.8
208864.243.4–85.3360.3352.2–364.7
208961.541.3–81.2360.2352.3–363.8
209061.641.5–86.8360.2351.3–363.9
209163.341.6–86.3360.9351.6–364.1
209263.144.9–84.8360.7352.4–364.7
209362.443.2–86.1361.6354.1–363.9
209463.145.6–87.4361.3353.8–364.3
209565.342.6–91.7361.5353.2–364
20966142.7–90.1361.1352.8–365.1
209758.841.2–84.6360.7351.9–364.2
209865.143.8–89.8361.5352.6–364.1
209964.345–87361.2352.4–364.1
210058.742–88.2361.1352.6–364.2

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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