Angola vs Cameroon

Angola vs Cameroon: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 177.6 nights, or 3.91 times that in Angola.

nights a year · CMIP6

Angola vs Cameroon: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 177.6 nights, or 3.91 times that in Angola.
AngolaCameroonCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon 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 Cameroon at 324.2 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaCameroon
201461.1238.7
201362.3236.7
201263.6242.2
201159.9237.6
201058.9230.4
200956.9226.6
200854.5223.1
200754.6222.1
200654220.1
200553.8216.1
200455.8217.6
200355.3221
200253.2215.5
200155223
200051.4210
199948.1200.5
199850.5203.5
199747.9202
199643.2190
199543187.3
199441.6183.1
199335.9165.2
199235.3156.7
199145.5192.6
199046.7200.7
198943.8187.5
198842.7185.8
198742.7182.7
198642.7188.9
198539.3173.2
198438.2172.9
198337.8165.5
198240.8176.3
198142182.6
198039.9173.6
197939.1175.8
197838.6172.8
197738.6175.7
197636.8164.5
197538.1159.5
197437.4166.8
197338.7170.4
197236.6165.2
197136161.3
197036.6164.4
196936.5160
196834.5157.8
196732.4147.9
196634.3156.5
196534.2151.6
196431.5143.1
196330.5145.9
196237.6171.8
196137.3167.2
196038.7176.2
195938166.5
195837.3169.2
195738168.2
195635.1160
195537.5163.7
195436.5167.6
195336.2168.2
195237.3165.7
195137.4172.8
195036.5162.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaCameroon
201567.946.7–89.4242.2196.9–270.8
201663.143.9–82.7237.7192.1–259.9
201768.248.7–87.9245.8205.7–271.3
201869.250.6–90.9245.7208–270.5
201969.547.5–97.7243.7200.2–275.6
20207351.1–97.1246.4210.4–278
202175.654.9–97.2255.2220.2–279.6
202278.758–105.7255.8221–285.7
202378.357.5–103.3254.5221.7–284.1
202483.457.6–108.1263225.8–286.8
202579.154–111.7257.3222.7–293.9
202682.455.4–117.5260.4211.9–292
202784.157.6–115.3258.5223.8–291.5
202885.862.6–117.4266.9235.5–294.7
20299165.8–120269.9242.3–293.5
203087.661.6–119.2266.6229–293.5
203192.363.9–122.5273.2229.9–298.5
20329566.1–124.5269.8240.6–296.2
203392.766.8–125271.8235.6–303.4
203491.466.7–131.8268.1239.2–299.1
203596.364.7–131.8277.5241.5–302.7
203695.964.2–129275.7235.1–301.3
2037103.870.4–136.7283.5252.3–305.9
2038105.376.7–136.8285.8258–307.9
203999.367–137.4280.9250.4–305.8
2040100.569.2–143.1279.5252.1–310.6
2041109.975.5–145.2284.5254.6–309.9
204210775.4–153.1284.8253.6–313.2
2043102.572.6–148.6281.2251.4–309.8
2044106.872.1–147.2283.8244.4–312.3
2045107.276.5–148.5286.8253.7–311.4
2046119.383.6–159.4296.1260.6–318.1
2047123.483.9–157.3294.3260.7–316.6
2048121.483.1–161.4297.3265.6–318.1
2049122.883.6–165.9298.3267.8–318.1
2050124.786.1–168.1296.9267.9–322.7
2051122.389.3–169.4297.8266.7–319.9
2052127.289.2–173.9298.7270.1–322.3
2053124.885.7–169.4297.7261.3–321.7
2054129.386.8–169.7301.2268.2–324.6
2055127.194.6–174.1301.3276.5–324.3
2056130.688.2–184.1302.1270.4–329.2
2057137.790.4–179.2305.4277.7–327.4
2058134.592.1–179.4302.6272.1–325.2
2059136.698.3–189.8306.2279.6–330.1
2060145.896.6–186.9306.1276.1–331.1
2061136.989.6–192.5304.4267.2–329.7
2062140.689.9–190307.6266.2–332.2
2063142.592.2–189.4309.1272.5–328.8
2064142.295.4–186.9308.5278.7–331
2065144.2101–193.2311.3284.1–329.6
2066144.2100.5–193.3311.9284–332.7
2067142.496.2–194.4310.1271.7–335.6
2068150.1103.4–196.7312.9278.7–335
2069145.898.5–197.6310.4278.4–333.4
2070143.196.6–202.5309.8281.2–334.9
2071151.7103.6–205.4316.4282.3–336
2072158.8110.5–197.3315.4289.2–335.3
2073159.8114–208.3314282.6–339.5
2074151.1103.1–205.9311.7281.9–336.8
2075148.7100.3–201.6314.8285.3–335.3
2076157.3106.3–204.8315.2284.7–338.4
2077161.8115.3–206.2318.2289.7–341.4
2078158.1114–211.5315.8286.4–338.5
2079158.3109.9–212.9317.7287.8–337.5
2080162.8109.6–212.5321.5285.9–341.7
2081161.1112.7–207.9318.7290–339
2082161.2114.4–207.5316.2289–337.7
2083159.9106–216.6317.7288.2–341.6
2084169.2117.7–215.2318.5284.5–342.1
2085175118.5–226323.4294–342.7
2086160.3115.4–221.3319.5292.3–343
2087162.4118.5–223.3318292.7–342.5
2088169.9116–218.4320.4288.1–342
2089166.9119.1–220320.1289.6–340.7
2090165.8119.6–223.4322.4292.8–342.6
2091175.2120.2–229.1322.6289.9–345
2092172.5119.9–228.5324.9291.6–343.6
2093169.9116.3–228.6322.3299.7–342.6
2094172.3118.2–221324299.3–343.4
2095179122.5–229.5326.4300.2–346.4
2096170.5117.6–228.9322.1294.4–346.4
2097169.6116.1–222.1320.9287.4–342.5
2098174.6115.2–234.3323.1293.8–344.4
2099170.7118.3–232.7322.6295.7–344.2
2100173.4123.5–231324.2293.6–346.6

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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