Angola vs Nigeria

Angola vs Nigeria: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 242.8 nights, or 4.98 times that in Angola.

nights a year · CMIP6

Angola vs Nigeria: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 242.8 nights, or 4.98 times that in Angola.
AngolaNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaNigeria
201461.1303.9
201362.3299.5
201263.6304.4
201159.9301.5
201058.9301.4
200956.9297.8
200854.5297.4
200754.6298
200654297.2
200553.8295.4
200455.8294.1
200355.3298.4
200253.2295.2
200155299.1
200051.4293.9
199948.1290.3
199850.5289.9
199747.9292.5
199643.2290
199543289.1
199441.6287.4
199335.9284
199235.3281.6
199145.5289.1
199046.7290.6
198943.8287.2
198842.7288
198742.7285.6
198642.7289.1
198539.3284.2
198438.2284.4
198337.8281.9
198240.8283.5
198142286.4
198039.9282.8
197939.1283
197838.6282.8
197738.6285.9
197636.8281.7
197538.1280.4
197437.4280.7
197338.7284.3
197236.6284.1
197136279.3
197036.6282
196936.5278.7
196834.5279.6
196732.4278.1
196634.3279.4
196534.2279
196431.5276.8
196330.5275.1
196237.6284.1
196137.3281.9
196038.7285.9
195938282.8
195837.3281.4
195738283.3
195635.1280.8
195537.5280.4
195436.5284.1
195336.2280.4
195237.3280.8
195137.4284.2
195036.5279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaNigeria
201567.946.7–89.4301.7282.9–317.3
201663.143.9–82.7301.4280.8–312.5
201768.248.7–87.9302.5284.3–316.3
201869.250.6–90.9302.2286.8–316.5
201969.547.5–97.7300.1281.2–318
20207351.1–97.1303283.7–318.5
202175.654.9–97.2305.1287.1–318.4
202278.758–105.7305.1286–319.5
202378.357.5–103.3305286.4–318.9
202483.457.6–108.1310.6295.1–321.5
202579.154–111.7307.5292–319.4
202682.455.4–117.5306.9286.1–322.9
202784.157.6–115.3307.4288–321.7
202885.862.6–117.4310.7293.4–322.6
20299165.8–120311.4293.3–324.4
203087.661.6–119.2310.6294.1–322.5
203192.363.9–122.5312.2295–324.8
20329566.1–124.5310290–323.5
203392.766.8–125313292.9–327
203491.466.7–131.8311.7294.8–325.1
203596.364.7–131.8314.5296.7–327.7
203695.964.2–129313.5294.1–326.5
2037103.870.4–136.7315.6297.9–327.1
2038105.376.7–136.8316.9301.2–329.6
203999.367–137.4315.4299.4–328.2
2040100.569.2–143.1315.6297.9–327.4
2041109.975.5–145.2316.8300.6–330.2
204210775.4–153.1316.3300.3–330.3
2043102.572.6–148.6316298.4–326
2044106.872.1–147.2317.9299.5–329.6
2045107.276.5–148.5316.6300.5–330.4
2046119.383.6–159.4317.8302.2–330.7
2047123.483.9–157.3319.8301.5–333
2048121.483.1–161.4320.1302.4–331.7
2049122.883.6–165.9320.7305.3–331.7
2050124.786.1–168.1320.9304–335
2051122.389.3–169.4321304.1–334.2
2052127.289.2–173.9320.9303.9–333.5
2053124.885.7–169.4320.9303.3–334.1
2054129.386.8–169.7324.5304.5–338.2
2055127.194.6–174.1322.2308.4–333.7
2056130.688.2–184.1324.8305.8–336.3
2057137.790.4–179.2326310.8–337.3
2058134.592.1–179.4322.9307.4–334.2
2059136.698.3–189.8325.7308.9–339
2060145.896.6–186.9323.8307.5–337
2061136.989.6–192.5324.4307.1–338.2
2062140.689.9–190325.7308–339.3
2063142.592.2–189.4326.6308.7–337
2064142.295.4–186.9326.2311–339.8
2065144.2101–193.2327.6313.5–339.4
2066144.2100.5–193.3328.4311.3–339.6
2067142.496.2–194.4326308.4–340.5
2068150.1103.4–196.7329.3311.2–342.9
2069145.898.5–197.6326.6309.9–338.1
2070143.196.6–202.5327.4312.6–340.7
2071151.7103.6–205.4329.1313–341.1
2072158.8110.5–197.3330.3315.9–342.1
2073159.8114–208.3326.3309.5–341
2074151.1103.1–205.9326.7311.4–341.4
2075148.7100.3–201.6328.9314.5–341.8
2076157.3106.3–204.8329.6313.4–342
2077161.8115.3–206.2332.5314.4–343.3
2078158.1114–211.5329.8312.8–342.1
2079158.3109.9–212.9329.6313.8–340.6
2080162.8109.6–212.5331.7314.1–344.8
2081161.1112.7–207.9329.3311.6–343.7
2082161.2114.4–207.5329.3313.3–341.4
2083159.9106–216.6330.4315–342.2
2084169.2117.7–215.2330.5311.9–344.2
2085175118.5–226332.7316.6–343.6
2086160.3115.4–221.3331.9316.3–343.6
2087162.4118.5–223.3330.7314.9–342.4
2088169.9116–218.4331.7313.2–342.7
2089166.9119.1–220331.1318.3–341.9
2090165.8119.6–223.4332.4312.7–343.9
2091175.2120.2–229.1333.3311–345.8
2092172.5119.9–228.5332.7313.8–345.7
2093169.9116.3–228.6334.2318.6–344.9
2094172.3118.2–221334.2317.3–345.6
2095179122.5–229.5333.8319.3–346.3
2096170.5117.6–228.9332.5317.4–346.7
2097169.6116.1–222.1331.8312.6–344.6
2098174.6115.2–234.3332.3316–343.7
2099170.7118.3–232.7333316.9–344.2
2100173.4123.5–231332.3318.5–345

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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