Angola vs South Sudan

Angola vs South Sudan: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 282.7 nights, or 5.63 times that in Angola.

nights a year · CMIP6

Angola vs South Sudan: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 282.7 nights, or 5.63 times that in Angola.
AngolaSouth 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 Angola at 173.4 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaSouth Sudan
201461.1343.7
201362.3342.1
201263.6342.8
201159.9343.3
201058.9341.9
200956.9338.8
200854.5339.8
200754.6336.9
200654339
200553.8336.8
200455.8336.6
200355.3338.9
200253.2336.6
200155338.7
200051.4334.6
199948.1331.8
199850.5333.6
199747.9334.5
199643.2330.7
199543329.6
199441.6328.2
199335.9321.9
199235.3321.5
199145.5329.1
199046.7332.6
198943.8329
198842.7330.5
198742.7328.8
198642.7330.4
198539.3327.1
198438.2324.1
198337.8322.8
198240.8322.8
198142329.9
198039.9326.5
197939.1325.3
197838.6324.1
197738.6325
197636.8322.6
197538.1320.8
197437.4320.1
197338.7325.4
197236.6324.7
197136319.9
197036.6322.3
196936.5318.5
196834.5318.3
196732.4315.6
196634.3317.2
196534.2316.5
196431.5312.9
196330.5309.8
196237.6323.9
196137.3323.3
196038.7324.8
195938321.5
195837.3320.2
195738322.1
195635.1319.5
195537.5317
195436.5322.4
195336.2321.6
195237.3322.4
195137.4323.9
195036.5318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaSouth Sudan
201567.946.7–89.4342.7327.5–353.3
201663.143.9–82.7342.1325.1–351.1
201768.248.7–87.9344.5326.9–353.7
201869.250.6–90.9344.1324.9–353.7
201969.547.5–97.7344.5324–354.2
20207351.1–97.1344.9326.9–355.6
202175.654.9–97.2347.3329.2–355.3
202278.758–105.7344.5326.1–355.5
202378.357.5–103.3347.2329.2–357
202483.457.6–108.1350.4331.6–357.9
202579.154–111.7347.1330.2–357.7
202682.455.4–117.5347.6329.5–356.7
202784.157.6–115.3346327.1–356.1
202885.862.6–117.4349.4333.5–357.3
20299165.8–120348.6337.5–355.6
203087.661.6–119.2349.3335.5–357.2
203192.363.9–122.5351.3336.3–357.6
20329566.1–124.5348.6333.6–357.7
203392.766.8–125350.8336.7–359.4
203491.466.7–131.8350.2337.5–358.3
203596.364.7–131.8352.3331–359.5
203695.964.2–129352340.8–359.1
2037103.870.4–136.7351.9337.4–359.5
2038105.376.7–136.8354.3341.9–359.6
203999.367–137.4353.8340.6–360
2040100.569.2–143.1353.5338.7–360.2
2041109.975.5–145.2353.2336.9–360.2
204210775.4–153.1351.9336.9–360.3
2043102.572.6–148.6353.2336.2–359.5
2044106.872.1–147.2353.7339.9–361.1
2045107.276.5–148.5353.7342.2–360.6
2046119.383.6–159.4355.4342.2–361
2047123.483.9–157.3355.7344–361.2
2048121.483.1–161.4354.7342.5–361.6
2049122.883.6–165.9356.7346.4–361.1
2050124.786.1–168.1356.8345.6–361.7
2051122.389.3–169.4356345.4–361.8
2052127.289.2–173.9355.3343.8–362.2
2053124.885.7–169.4355.5343.4–361.7
2054129.386.8–169.7356.9345.2–362.1
2055127.194.6–174.1356.9345–361.7
2056130.688.2–184.1356.7345.7–363.1
2057137.790.4–179.2358.4349.2–362.6
2058134.592.1–179.4357.7345–361.8
2059136.698.3–189.8358.6348.4–362.6
2060145.896.6–186.9357.7344.7–363.8
2061136.989.6–192.5358.2345.8–362.7
2062140.689.9–190357.4345.2–363.1
2063142.592.2–189.4358.8347.3–362.6
2064142.295.4–186.9358.9348.4–363.3
2065144.2101–193.2359.1351.1–362.9
2066144.2100.5–193.3359.2350.6–363.1
2067142.496.2–194.4358.6347.6–363.3
2068150.1103.4–196.7359.9350.3–364.4
2069145.898.5–197.6357.6347–363.1
2070143.196.6–202.5359.5350.4–363
2071151.7103.6–205.4359.6350.5–363.2
2072158.8110.5–197.3360.2348.4–364.2
2073159.8114–208.3359.3350.3–363.5
2074151.1103.1–205.9359.5348–363.3
2075148.7100.3–201.6359.9348.5–363.4
2076157.3106.3–204.8359.4350.5–364
2077161.8115.3–206.2359.9352.2–363.7
2078158.1114–211.5360351.2–363.4
2079158.3109.9–212.9359.8350.9–363.3
2080162.8109.6–212.5361.3349.8–364.6
2081161.1112.7–207.9360.4350.5–363.9
2082161.2114.4–207.5360.3351–363.3
2083159.9106–216.6360351.1–363.8
2084169.2117.7–215.2360.8350.8–364.9
2085175118.5–226361352.3–363.7
2086160.3115.4–221.3360.4352.5–364.1
2087162.4118.5–223.3359.7347.8–363.8
2088169.9116–218.4360.3352.2–364.7
2089166.9119.1–220360.2352.3–363.8
2090165.8119.6–223.4360.2351.3–363.9
2091175.2120.2–229.1360.9351.6–364.1
2092172.5119.9–228.5360.7352.4–364.7
2093169.9116.3–228.6361.6354.1–363.9
2094172.3118.2–221361.3353.8–364.3
2095179122.5–229.5361.5353.2–364
2096170.5117.6–228.9361.1352.8–365.1
2097169.6116.1–222.1360.7351.9–364.2
2098174.6115.2–234.3361.5352.6–364.1
2099170.7118.3–232.7361.2352.4–364.1
2100173.4123.5–231361.1352.6–364.2

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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