Angola vs Burkina Faso

Angola vs Burkina Faso: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 306.2 nights in Burkina Faso, in the CMIP6 climate models’ median run. In 2014 the value was higher in Burkina Faso, by 245.1 nights, or 5.02 times that in Angola.

nights a year · CMIP6

Angola vs Burkina Faso: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 306.2 nights in Burkina Faso, in the CMIP6 climate models’ median run. In 2014 the value was higher in Burkina Faso, by 245.1 nights, or 5.02 times that in Angola.
AngolaBurkina FasoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Burkina Faso 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 Burkina Faso at 341.5 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaBurkina Faso
201461.1306.2
201362.3299.1
201263.6307.8
201159.9305
201058.9303.3
200956.9300.5
200854.5301
200754.6299.3
200654298.1
200553.8296.5
200455.8294.5
200355.3300.9
200253.2297.7
200155301.4
200051.4295.9
199948.1291.5
199850.5290.8
199747.9291.6
199643.2287.9
199543288.6
199441.6285.2
199335.9284.9
199235.3283.1
199145.5289.7
199046.7292.7
198943.8284.6
198842.7284.4
198742.7286.1
198642.7289.8
198539.3286.2
198438.2284.2
198337.8280.7
198240.8284
198142285.9
198039.9282.6
197939.1283.1
197838.6283.8
197738.6288.8
197636.8280.6
197538.1282.6
197437.4280.3
197338.7282.4
197236.6280.9
197136279.4
197036.6283.1
196936.5276.3
196834.5279.9
196732.4279.9
196634.3276.7
196534.2279.7
196431.5277.3
196330.5277.8
196237.6283
196137.3279.6
196038.7284.1
195938280.9
195837.3279.2
195738282.7
195635.1281.5
195537.5281.1
195436.5283.2
195336.2280.3
195237.3277
195137.4281.4
195036.5276.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaBurkina Faso
201567.946.7–89.4301.5278.6–322.3
201663.143.9–82.7301.6278.8–316.1
201768.248.7–87.9304.7279.1–320.9
201869.250.6–90.9305.6287.7–324.5
201969.547.5–97.7299.1275.1–327.4
20207351.1–97.1301.4280.4–326.7
202175.654.9–97.2306.3286.3–324.6
202278.758–105.7309.9284.7–326.3
202378.357.5–103.3303.9284.2–324.9
202483.457.6–108.1314.6290.4–329.4
202579.154–111.7309.1286.3–326.7
202682.455.4–117.5308.4284.8–333.8
202784.157.6–115.3309.4290.1–329.6
202885.862.6–117.4315.7291.3–332.1
20299165.8–120312.7293.8–332.6
203087.661.6–119.2314.8294–329.7
203192.363.9–122.5318.3294.9–335.1
20329566.1–124.5316.8288.4–334.4
203392.766.8–125319.5291.6–336.9
203491.466.7–131.8315290.8–331.4
203596.364.7–131.8316.3295.4–337
203695.964.2–129316.2292.5–340.3
2037103.870.4–136.7320.9298–335.8
2038105.376.7–136.8321.6302.1–336.1
203999.367–137.4316.9300.1–335.4
2040100.569.2–143.1320.6297.4–338.4
2041109.975.5–145.2319.7303.1–340.8
204210775.4–153.1319.4297.9–340.3
2043102.572.6–148.6319.5297.3–335.6
2044106.872.1–147.2325.1301.2–341.9
2045107.276.5–148.5320.6300.1–341.4
2046119.383.6–159.4324.4302.8–338
2047123.483.9–157.3324304.1–344.8
2048121.483.1–161.4323.9307–341.3
2049122.883.6–165.9330.1308–342.5
2050124.786.1–168.1326.2302.4–342.3
2051122.389.3–169.4325308.4–342.8
2052127.289.2–173.9323.3305.7–342.2
2053124.885.7–169.4326.1303.8–343.8
2054129.386.8–169.7329.9306.2–346.3
2055127.194.6–174.1326.1306.7–341.6
2056130.688.2–184.1330.4305.8–346.1
2057137.790.4–179.2332.8310.2–349.5
2058134.592.1–179.4326.9308.7–346.1
2059136.698.3–189.8330.9312.9–352.1
2060145.896.6–186.9329.8309.1–348.3
2061136.989.6–192.5330.4308.6–349.7
2062140.689.9–190328.9306.7–344.4
2063142.592.2–189.4333.4307.6–347.8
2064142.295.4–186.9330.5311.7–352.2
2065144.2101–193.2331.3316.3–351.2
2066144.2100.5–193.3331.6311.1–348.1
2067142.496.2–194.4331.4306.8–349.9
2068150.1103.4–196.7334.9313.7–353.8
2069145.898.5–197.6332.4314.1–345.4
2070143.196.6–202.5333.5312–349
2071151.7103.6–205.4335.3312.3–348.8
2072158.8110.5–197.3339.6318.4–350.6
2073159.8114–208.3333.6312.8–348
2074151.1103.1–205.9332.2311.4–348.7
2075148.7100.3–201.6333.1316.8–350.7
2076157.3106.3–204.8336.1315.6–349.7
2077161.8115.3–206.2339.7315.9–354.5
2078158.1114–211.5338.9318.9–348.4
2079158.3109.9–212.9335.1319.3–350.6
2080162.8109.6–212.5339.1316–355.1
2081161.1112.7–207.9336.1310.9–352.7
2082161.2114.4–207.5336.1315.8–351.3
2083159.9106–216.6337.4319.9–355.5
2084169.2117.7–215.2336318.8–355.3
2085175118.5–226339.7318.5–356.3
2086160.3115.4–221.3338.9318.1–353.1
2087162.4118.5–223.3338.2316.6–354.8
2088169.9116–218.4336.6315.1–351.8
2089166.9119.1–220335.9318.8–351.7
2090165.8119.6–223.4337.9315.4–354.2
2091175.2120.2–229.1338.3313.7–354.4
2092172.5119.9–228.5337.5312.4–353.6
2093169.9116.3–228.6341.4319.5–355.1
2094172.3118.2–221340.2317–355.9
2095179122.5–229.5338.6317.5–354.7
2096170.5117.6–228.9337.1318.6–358.2
2097169.6116.1–222.1336.6312.6–351.9
2098174.6115.2–234.3336.1315.6–354.2
2099170.7118.3–232.7337.9322.1–353.7
2100173.4123.5–231341.5313.9–356.9

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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