Rwanda vs South Sudan

Rwanda vs South Sudan: Tropical nights

Tropical nights in 2014: 2.4 nights in Rwanda and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 341.3 nights, or 150 times that in Rwanda.

nights a year · CMIP6

Rwanda vs South Sudan: Tropical nightsTropical nights in 2014: 2.4 nights in Rwanda and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 341.3 nights, or 150 times that in Rwanda.
RwandaSouth 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 Rwanda at 34.2 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearRwandaSouth Sudan
20142.4343.7
20132.8342.1
20122.9342.8
20112.7343.3
20102.3341.9
20092.5338.8
20082339.8
20071.9336.9
20062.2339
20052336.8
20041.8336.6
20031.8338.9
20022.4336.6
20012.4338.7
20001.7334.6
19991.6331.8
19981.5333.6
19971334.5
19961.1330.7
19951.1329.6
19941.2328.2
19930.9321.9
19920.6321.5
19911.2329.1
19901.7332.6
19891.5329
19881.2330.5
19871.3328.8
19861.2330.4
19850.8327.1
19841324.1
19830.9322.8
19820.8322.8
19811.1329.9
19801.1326.5
19790.9325.3
19780.7324.1
19771.1325
19760.8322.6
19751320.8
19740.9320.1
19731.3325.4
19720.7324.7
19710.7319.9
19700.6322.3
19690.8318.5
19680.8318.3
19670.5315.6
19660.6317.2
19650.6316.5
19640.4312.9
19630.6309.8
19620.9323.9
19610.8323.3
19601.1324.8
19590.7321.5
19580.9320.2
19570.8322.1
19560.7319.5
19550.8317
19540.9322.4
19530.8321.6
19520.8322.4
19511323.9
19500.9318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRwandaSouth Sudan
20153.41.5–7.6342.7327.5–353.3
20162.91.2–5.6342.1325.1–351.1
20173.41.8–5.5344.5326.9–353.7
20183.81.8–7.1344.1324.9–353.7
20193.61.3–6.9344.5324–354.2
20204.32.1–7.9344.9326.9–355.6
20214.22.6–7.5347.3329.2–355.3
202242.9–7.8344.5326.1–355.5
20234.41.9–8.4347.2329.2–357
202452–9.6350.4331.6–357.9
20254.42.1–9.5347.1330.2–357.7
20264.81.7–8.9347.6329.5–356.7
20274.92.1–8.7346327.1–356.1
20285.21.7–8.7349.4333.5–357.3
20295.43–9.2348.6337.5–355.6
20305.33.1–10.2349.3335.5–357.2
20316.63.4–10.4351.3336.3–357.6
20326.34–12.2348.6333.6–357.7
20336.52.8–12350.8336.7–359.4
20346.13.3–12.4350.2337.5–358.3
20356.83.2–12.7352.3331–359.5
20366.83.7–12.7352340.8–359.1
20377.94.3–14.6351.9337.4–359.5
20388.44.1–15.3354.3341.9–359.6
20397.23.6–15.9353.8340.6–360
20407.74.3–14.8353.5338.7–360.2
20418.44.7–15353.2336.9–360.2
20428.44.4–20.2351.9336.9–360.3
20437.83.8–16.5353.2336.2–359.5
20447.24.1–14.5353.7339.9–361.1
20459.24.6–21353.7342.2–360.6
2046124.6–24.1355.4342.2–361
204711.25.4–26355.7344–361.2
204811.74.6–25.4354.7342.5–361.6
204912.25.7–26.7356.7346.4–361.1
205011.75.4–22.9356.8345.6–361.7
205112.36.4–24356345.4–361.8
205214.56–26.1355.3343.8–362.2
205312.55–23.9355.5343.4–361.7
205412.85.6–34.3356.9345.2–362.1
205512.66.2–32.8356.9345–361.7
2056145.6–31.6356.7345.7–363.1
205714.96–32.3358.4349.2–362.6
205815.15.3–38.7357.7345–361.8
205914.96.7–38.1358.6348.4–362.6
206018.46.1–38.2357.7344.7–363.8
206116.65.9–40.7358.2345.8–362.7
206217.25.6–49.3357.4345.2–363.1
206316.46.3–39.1358.8347.3–362.6
206421.76.3–40.1358.9348.4–363.3
206517.17.2–40.5359.1351.1–362.9
206618.37.2–42.5359.2350.6–363.1
206716.86.3–50.2358.6347.6–363.3
206819.76.6–53.2359.9350.3–364.4
206917.66–55357.6347–363.1
207018.17.6–53.8359.5350.4–363
207119.36.3–60359.6350.5–363.2
207222.18.7–49.3360.2348.4–364.2
207324.39.2–61.7359.3350.3–363.5
207423.28.3–57.2359.5348–363.3
207521.86.3–53.9359.9348.5–363.4
207626.77–59.7359.4350.5–364
207724.19.1–64.8359.9352.2–363.7
207821.48.3–62.1360351.2–363.4
207926.47.8–64.8359.8350.9–363.3
208028.78.2–62.2361.3349.8–364.6
208125.79–66.4360.4350.5–363.9
208227.59.2–63.2360.3351–363.3
208331.68.7–87360351.1–363.8
208431.39.4–78.4360.8350.8–364.9
208535.29.2–79.6361352.3–363.7
2086299.7–76.5360.4352.5–364.1
208730.69.5–80359.7347.8–363.8
208832.59.4–76.8360.3352.2–364.7
208927.49.3–82.1360.2352.3–363.8
209025.911.4–96.6360.2351.3–363.9
209143.28.7–89.1360.9351.6–364.1
209233.910.5–89.6360.7352.4–364.7
209335.510.9–91361.6354.1–363.9
209434.79.4–91.6361.3353.8–364.3
209540.412.9–106.1361.5353.2–364
209635.99.8–99.9361.1352.8–365.1
209732.69.9–89.6360.7351.9–364.2
209835.69.8–105.9361.5352.6–364.1
209932.810.9–105.8361.2352.4–364.1
210034.211.1–102.5361.1352.6–364.2

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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