Angola vs Ethiopia

Angola vs Ethiopia: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 83.9 nights, or 2.37 times that in Angola.

nights a year · CMIP6

Angola vs Ethiopia: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 83.9 nights, or 2.37 times that in Angola.
AngolaEthiopiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaEthiopia
201461.1144.9
201362.3145.1
201263.6144.4
201159.9145.6
201058.9142.4
200956.9140.3
200854.5137.1
200754.6138.2
200654138.7
200553.8138.1
200455.8139.1
200355.3138.8
200253.2137.4
200155139.2
200051.4135.5
199948.1132.6
199850.5132.9
199747.9132.7
199643.2129.7
199543127.8
199441.6126.3
199335.9122.5
199235.3119.7
199145.5129.5
199046.7132.7
198943.8129.4
198842.7128.2
198742.7126.4
198642.7128.1
198539.3122.8
198438.2124.8
198337.8120.6
198240.8126.3
198142127
198039.9124.9
197939.1125.1
197838.6124.7
197738.6125.8
197636.8122
197538.1119.5
197437.4124
197338.7125.2
197236.6122.3
197136120.6
197036.6121.3
196936.5120.4
196834.5119.1
196732.4118.1
196634.3119.5
196534.2117.4
196431.5116.6
196330.5115.7
196237.6121.6
196137.3124.2
196038.7124.5
195938121.6
195837.3124.1
195738123.2
195635.1120.9
195537.5122.8
195436.5121.6
195336.2121.2
195237.3122.8
195137.4123
195036.5122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaEthiopia
201567.946.7–89.4146.6129.4–163.9
201663.143.9–82.7144.1127–160.6
201768.248.7–87.9148.3129.2–164.9
201869.250.6–90.9149.6131.6–166
201969.547.5–97.7146.2129.3–166
20207351.1–97.1149.4129.6–168.5
202175.654.9–97.2150.7132.1–170
202278.758–105.7154135.7–171.2
202378.357.5–103.3153.5135.4–171.4
202483.457.6–108.1156.5135.9–175.6
202579.154–111.7154132.6–175.5
202682.455.4–117.5153132–175
202784.157.6–115.3154.2134.4–175.3
202885.862.6–117.4157.5138.3–177.4
20299165.8–120159.2141.8–176.8
203087.661.6–119.2156.8136.3–175.7
203192.363.9–122.5161.4142.4–179.1
20329566.1–124.5161.7143.1–182.5
203392.766.8–125161.8140–180.9
203491.466.7–131.8158.8141.5–184.3
203596.364.7–131.8162141.7–184.2
203695.964.2–129160.5143.6–179.4
2037103.870.4–136.7165145.8–184.5
2038105.376.7–136.8167.1146.5–186.7
203999.367–137.4164.5143.9–186
2040100.569.2–143.1165.9146.2–190.1
2041109.975.5–145.2167.9146.3–189.3
204210775.4–153.1167.7146–194.3
2043102.572.6–148.6167.3145.5–190.8
2044106.872.1–147.2168.2148.2–189.9
2045107.276.5–148.5170.7149.1–192.3
2046119.383.6–159.4175.3150–198.6
2047123.483.9–157.3176.9151.8–197.5
2048121.483.1–161.4177.5155.4–199.1
2049122.883.6–165.9177.5157.9–198.4
2050124.786.1–168.1176.4153.8–199
2051122.389.3–169.4176.6155.3–199.7
2052127.289.2–173.9177155.6–200.7
2053124.885.7–169.4176.7154.2–201.6
2054129.386.8–169.7177.6156.9–201.1
2055127.194.6–174.1180.6155.2–202.3
2056130.688.2–184.1177.3155–205.4
2057137.790.4–179.2180.3159.3–205.5
2058134.592.1–179.4182.6153.7–209.4
2059136.698.3–189.8185.7160.1–210.6
2060145.896.6–186.9185.9160.3–210.4
2061136.989.6–192.5183.3158.3–211.7
2062140.689.9–190183.8155.4–213
2063142.592.2–189.4184.5159.1–208.6
2064142.295.4–186.9186.7160.6–207.2
2065144.2101–193.2183.7162.4–212.9
2066144.2100.5–193.3187.1165.4–210.1
2067142.496.2–194.4187.1160.7–214.5
2068150.1103.4–196.7187.6160.4–215.8
2069145.898.5–197.6187.8165.4–215.8
2070143.196.6–202.5187.9161.6–216.9
2071151.7103.6–205.4192.7165.2–219.5
2072158.8110.5–197.3193.6167.4–214.5
2073159.8114–208.3193.3169.7–218.7
2074151.1103.1–205.9188.5163.9–219
2075148.7100.3–201.6191.9162.7–218.6
2076157.3106.3–204.8195166.9–218.9
2077161.8115.3–206.2194.1169.3–223.3
2078158.1114–211.5192.1168.4–218.6
2079158.3109.9–212.9193.4166.6–220.9
2080162.8109.6–212.5196.1169.2–222.4
2081161.1112.7–207.9194.6171–221.4
2082161.2114.4–207.5195.4168.8–219.9
2083159.9106–216.6194.6168.2–228.7
2084169.2117.7–215.2198.5170.7–224.2
2085175118.5–226198.4173.1–226.3
2086160.3115.4–221.3198.6172.3–228.4
2087162.4118.5–223.3199170.6–226.6
2088169.9116–218.4199170.7–227.7
2089166.9119.1–220198.6171.2–226.2
2090165.8119.6–223.4198.6173.4–227.7
2091175.2120.2–229.1203.6171.9–232.1
2092172.5119.9–228.5200.7172.5–229.7
2093169.9116.3–228.6201.4175.2–228.6
2094172.3118.2–221200.2174–228.9
2095179122.5–229.5203.9175.7–231.9
2096170.5117.6–228.9199.1170.5–230.8
2097169.6116.1–222.1198.4171.8–229.3
2098174.6115.2–234.3198.7172.1–231.5
2099170.7118.3–232.7201.8172.8–233.3
2100173.4123.5–231201.7175.1–231.8

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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