Angola vs Somalia

Angola vs Somalia: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 234.1 nights, or 4.84 times that in Angola.

nights a year · CMIP6

Angola vs Somalia: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 234.1 nights, or 4.84 times that in Angola.
AngolaSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia 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 Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaSomalia
201461.1295.2
201362.3296.8
201263.6296.7
201159.9297.1
201058.9294.6
200956.9293.5
200854.5292.2
200754.6293.3
200654292.4
200553.8292.3
200455.8293.8
200355.3293.5
200253.2292.1
200155292.4
200051.4290.2
199948.1288.6
199850.5289.9
199747.9288.8
199643.2285
199543285.2
199441.6284.2
199335.9280.2
199235.3278.1
199145.5286.6
199046.7288.5
198943.8285.1
198842.7285.6
198742.7282.5
198642.7283.4
198539.3279.6
198438.2281.4
198337.8277.1
198240.8283.7
198142282.5
198039.9280
197939.1280.4
197838.6280.5
197738.6282.9
197636.8278.7
197538.1276.8
197437.4279.3
197338.7280.8
197236.6278.3
197136278.2
197036.6278.3
196936.5276.8
196834.5276.3
196732.4274.3
196634.3275.9
196534.2275.2
196431.5275.1
196330.5272.9
196237.6277.9
196137.3280.3
196038.7280.8
195938278.8
195837.3280.9
195738280.3
195635.1276.1
195537.5280.1
195436.5278.2
195336.2277.2
195237.3279.4
195137.4279
195036.5278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaSomalia
201567.946.7–89.4299.3283.7–311
201663.143.9–82.7296.8282.3–308.3
201768.248.7–87.9299.6284.6–310.1
201869.250.6–90.9301.3287.9–310.2
201969.547.5–97.7299.1286.1–311.9
20207351.1–97.1299.4285.3–310.3
202175.654.9–97.2302.4289.1–313.6
202278.758–105.7304.5289.7–314.6
202378.357.5–103.3304.1290.6–312.4
202483.457.6–108.1303.4290.1–317
202579.154–111.7303.1288.8–317.8
202682.455.4–117.5303.2288.7–315.4
202784.157.6–115.3303.8287.7–314.9
202885.862.6–117.4305.4291.3–316.8
20299165.8–120307.8294–317.8
203087.661.6–119.2304.5289.6–314.9
203192.363.9–122.5307.4292.3–317.9
20329566.1–124.5308.3292.4–319.6
203392.766.8–125307.2292–317.6
203491.466.7–131.8305.9292.3–321.2
203596.364.7–131.8308.7293.4–321.1
203695.964.2–129307.5295.4–317.7
2037103.870.4–136.7310.1298.4–319.9
2038105.376.7–136.8311.1296.4–323.2
203999.367–137.4308.6295.9–321.9
2040100.569.2–143.1311.7295.9–324.2
2041109.975.5–145.2312296.6–321.5
204210775.4–153.1311.7295–325.7
2043102.572.6–148.6312298–323.1
2044106.872.1–147.2311.4297.3–323
2045107.276.5–148.5312.3298.6–323
2046119.383.6–159.4314.4299–327.7
2047123.483.9–157.3315.8300.2–327.9
2048121.483.1–161.4316.9302.8–327.5
2049122.883.6–165.9314.9303.2–325.2
2050124.786.1–168.1315.9300.6–324.5
2051122.389.3–169.4314.9301.9–326.9
2052127.289.2–173.9316.2301.6–329
2053124.885.7–169.4314.8302.3–326.8
2054129.386.8–169.7316.2301.5–330.1
2055127.194.6–174.1317.4302.7–327.8
2056130.688.2–184.1316.5302.9–332.3
2057137.790.4–179.2316.8302.5–329.8
2058134.592.1–179.4316.9300.7–330.9
2059136.698.3–189.8320.8305.2–332.5
2060145.896.6–186.9321.3305.7–331.9
2061136.989.6–192.5317.8304.8–330.3
2062140.689.9–190319.6304.3–336
2063142.592.2–189.4320.9305.3–332
2064142.295.4–186.9319.7306.8–330.5
2065144.2101–193.2318.3304.6–334.6
2066144.2100.5–193.3321307.9–333.9
2067142.496.2–194.4320.5304.3–334.4
2068150.1103.4–196.7321.7305.6–336.3
2069145.898.5–197.6322.3308.6–335.4
2070143.196.6–202.5321.1305.3–335.6
2071151.7103.6–205.4324.5308.4–336.9
2072158.8110.5–197.3324.1308.2–334.1
2073159.8114–208.3323.7308.1–337.9
2074151.1103.1–205.9322306–334.6
2075148.7100.3–201.6323.6307.6–336.4
2076157.3106.3–204.8323.6309–333.3
2077161.8115.3–206.2324.2309.6–335.9
2078158.1114–211.5324.7310.1–333.7
2079158.3109.9–212.9323.2307.6–336.3
2080162.8109.6–212.5324.7310.6–337.8
2081161.1112.7–207.9323.2311.1–335.3
2082161.2114.4–207.5324.3309.4–336.4
2083159.9106–216.6323.6308.3–342.4
2084169.2117.7–215.2326.2309.4–337.5
2085175118.5–226327.7311.9–339.4
2086160.3115.4–221.3326.6311.1–340.2
2087162.4118.5–223.3327.3311.5–339.1
2088169.9116–218.4328.6308.2–341.6
2089166.9119.1–220326.7312–340.2
2090165.8119.6–223.4326.5311.7–339.5
2091175.2120.2–229.1328.6311.5–340.9
2092172.5119.9–228.5329.1312.2–341.8
2093169.9116.3–228.6327.3312.1–342.8
2094172.3118.2–221325.6312–336.2
2095179122.5–229.5329314–341.2
2096170.5117.6–228.9327.9311.6–341.9
2097169.6116.1–222.1325.6311–340
2098174.6115.2–234.3327.7311.4–341.1
2099170.7118.3–232.7327.3311.9–339.3
2100173.4123.5–231328.2313.4–341.2

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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