Angola vs Ghana

Angola vs Ghana: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 295.8 nights, or 5.84 times that in Angola.

nights a year · CMIP6

Angola vs Ghana: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 295.8 nights, or 5.84 times that in Angola.
AngolaGhanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana 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 Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaGhana
201461.1356.8
201362.3355.8
201263.6356.8
201159.9355.7
201058.9355.9
200956.9353.2
200854.5353.1
200754.6353.8
200654353.9
200553.8352.7
200455.8352.4
200355.3353.8
200253.2353.2
200155354.9
200051.4352.2
199948.1350.2
199850.5350.6
199747.9350.5
199643.2349.1
199543348.9
199441.6347.9
199335.9347.1
199235.3344.5
199145.5348.4
199046.7352.1
198943.8347.9
198842.7347.2
198742.7346.6
198642.7348.4
198539.3347.2
198438.2346.2
198337.8344.8
198240.8344.8
198142346.8
198039.9344.5
197939.1346.4
197838.6343.9
197738.6345.9
197636.8344.5
197538.1345.3
197437.4343
197338.7344
197236.6344.4
197136342.7
197036.6344
196936.5342.5
196834.5342
196732.4342.7
196634.3342.1
196534.2342
196431.5340
196330.5342.8
196237.6345.9
196137.3344.1
196038.7345.7
195938344.6
195837.3344.6
195738344.1
195635.1343.5
195537.5342.5
195436.5346.8
195336.2344.5
195237.3341.9
195137.4343.8
195036.5340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaGhana
201567.946.7–89.4356341.5–361.7
201663.143.9–82.7356.5341.4–361.5
201768.248.7–87.9355.2341.3–361.6
201869.250.6–90.9355.8345.7–362.1
201969.547.5–97.7353.9343.6–362.3
20207351.1–97.1356341.7–362.9
202175.654.9–97.2356.9345.4–362.7
202278.758–105.7358.2342–362.6
202378.357.5–103.3356.7344–361.7
202483.457.6–108.1358.6347.7–363.4
202579.154–111.7357.1347.2–361.9
202682.455.4–117.5357.2343.5–362.7
202784.157.6–115.3357.5344.3–362.4
202885.862.6–117.4359.5348.6–363.6
20299165.8–120358.8349–363.1
203087.661.6–119.2359.6350.6–363.2
203192.363.9–122.5360.8351–364
20329566.1–124.5359.7346.4–363.9
203392.766.8–125360.2349–364.1
203491.466.7–131.8359.4350.8–363.1
203596.364.7–131.8360.5350.8–364
203695.964.2–129360.9350.6–364.9
2037103.870.4–136.7361350.5–364
2038105.376.7–136.8361.4354.4–363.9
203999.367–137.4361.3352.3–364.5
2040100.569.2–143.1361.5352.2–365.2
2041109.975.5–145.2361.3351.7–364.3
204210775.4–153.1360.6352.3–364.3
2043102.572.6–148.6360.6351.8–364
2044106.872.1–147.2361.6353.6–364.8
2045107.276.5–148.5361.1353.2–364.4
2046119.383.6–159.4361.9353.1–364.1
2047123.483.9–157.3362.3350.3–364.5
2048121.483.1–161.4362.1354.7–365.3
2049122.883.6–165.9362.6354–364.4
2050124.786.1–168.1362.2355.3–364.4
2051122.389.3–169.4362.3355.7–364.6
2052127.289.2–173.9362.1354.2–365
2053124.885.7–169.4362.4354.1–364.5
2054129.386.8–169.7362.9354.8–364.6
2055127.194.6–174.1362.5355.1–364.5
2056130.688.2–184.1363.3355.6–365.7
2057137.790.4–179.2363.2355.9–364.8
2058134.592.1–179.4363356.3–364.9
2059136.698.3–189.8362.9356.2–364.8
2060145.896.6–186.9362.9354.1–365.7
2061136.989.6–192.5363.2354–364.9
2062140.689.9–190363.1355–364.9
2063142.592.2–189.4363.2355.5–364.9
2064142.295.4–186.9363.3356.6–365.6
2065144.2101–193.2363.7357.8–364.9
2066144.2100.5–193.3362.7356.9–364.8
2067142.496.2–194.4363.6354.1–364.9
2068150.1103.4–196.7364.1356.3–365.8
2069145.898.5–197.6362.8356.3–364.9
2070143.196.6–202.5363.3356.2–364.9
2071151.7103.6–205.4363.5355.3–364.9
2072158.8110.5–197.3364.1355.6–365.8
2073159.8114–208.3363.6355.1–364.8
2074151.1103.1–205.9363.4355.4–364.8
2075148.7100.3–201.6363.4357–364.9
2076157.3106.3–204.8363.8358.4–365.8
2077161.8115.3–206.2363.8357.8–365
2078158.1114–211.5363.9356.6–364.9
2079158.3109.9–212.9364.2358–365
2080162.8109.6–212.5364.3357.8–366
2081161.1112.7–207.9363.8357.1–365
2082161.2114.4–207.5363.5357.1–364.9
2083159.9106–216.6364.1358.3–365
2084169.2117.7–215.2364358.5–365.9
2085175118.5–226364.1358.3–365
2086160.3115.4–221.3364.1357.8–365
2087162.4118.5–223.3364.1357.9–365
2088169.9116–218.4364.2356.4–365.9
2089166.9119.1–220363.9357.6–365
2090165.8119.6–223.4364.2357.6–365
2091175.2120.2–229.1363.9357.6–364.9
2092172.5119.9–228.5364.4356.6–366
2093169.9116.3–228.6364.4358.2–365
2094172.3118.2–221364.1357.9–365
2095179122.5–229.5364358.2–365
2096170.5117.6–228.9363.9358–366
2097169.6116.1–222.1363.9356.3–364.9
2098174.6115.2–234.3363.7357.8–364.9
2099170.7118.3–232.7363.9358.6–365
2100173.4123.5–231364.2357.6–365

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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