Angola vs Madagascar

Angola vs Madagascar: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 77.3 nights, or 2.27 times that in Angola.

nights a year · CMIP6

Angola vs Madagascar: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 77.3 nights, or 2.27 times that in Angola.
AngolaMadagascarCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Madagascar 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 Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaMadagascar
201461.1138.3
201362.3138
201263.6138.3
201159.9136.8
201058.9134.2
200956.9133.5
200854.5132.3
200754.6133.1
200654131.6
200553.8130.3
200455.8133.5
200355.3131
200253.2131.8
200155131.7
200051.4127.4
199948.1128.4
199850.5128.6
199747.9125.3
199643.2121.8
199543123.3
199441.6121.8
199335.9116
199235.3116.6
199145.5124.9
199046.7126.2
198943.8124
198842.7123.8
198742.7122.8
198642.7123.8
198539.3120
198438.2118.6
198337.8116.5
198240.8121.8
198142122.1
198039.9120.3
197939.1120.7
197838.6119.3
197738.6119
197636.8117.4
197538.1116.5
197437.4119.5
197338.7119
197236.6117
197136116.3
197036.6117
196936.5116.3
196834.5113.1
196732.4113
196634.3114.1
196534.2112.2
196431.5109.6
196330.5109.7
196237.6115.3
196137.3118.5
196038.7118.2
195938119
195837.3118.7
195738117.6
195635.1115.5
195537.5116.6
195436.5115.9
195336.2116.4
195237.3117.4
195137.4116
195036.5116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaMadagascar
201567.946.7–89.4142.8126.7–159.3
201663.143.9–82.7137.8122.2–156
201768.248.7–87.9143.1125.6–159.4
201869.250.6–90.9143.7125.9–160.3
201969.547.5–97.7143.4124.4–162.3
20207351.1–97.1143.4125.2–159
202175.654.9–97.2145.4128.8–160.4
202278.758–105.7150.4133.4–165.2
202378.357.5–103.3149.7132.1–166
202483.457.6–108.1150.7131.4–167.9
202579.154–111.7149128.8–169.1
202682.455.4–117.5150.1127.4–169.9
202784.157.6–115.3151.8131.9–170.8
202885.862.6–117.4154.9137.7–173.1
20299165.8–120155.7135.2–173.8
203087.661.6–119.2154.8136.4–171.3
203192.363.9–122.5158.1141.3–174.8
20329566.1–124.5157.9136.2–178.4
203392.766.8–125158.9136.7–177.8
203491.466.7–131.8158.6140.6–179.6
203596.364.7–131.8161.1140.2–181.6
203695.964.2–129159.5139.4–177.1
2037103.870.4–136.7165.8144.7–182.8
2038105.376.7–136.8166.5149.3–183.9
203999.367–137.4164.1145.1–183.9
2040100.569.2–143.1162.8144.5–184.8
2041109.975.5–145.2165.8143.5–183.9
204210775.4–153.1165.1144.3–188.4
2043102.572.6–148.6165.6148.5–184.7
2044106.872.1–147.2167.3145.8–187
2045107.276.5–148.5166.9147.1–187.1
2046119.383.6–159.4171.4149.6–193
2047123.483.9–157.3171.7148.8–193.4
2048121.483.1–161.4173.7151.7–193.6
2049122.883.6–165.9172.2151.4–192.9
2050124.786.1–168.1174.4150.5–193.6
2051122.389.3–169.4175154.3–195.1
2052127.289.2–173.9176153.8–196.7
2053124.885.7–169.4176.6151.1–197.8
2054129.386.8–169.7175.5152.8–199.2
2055127.194.6–174.1179.2157.3–196.8
2056130.688.2–184.1178.8156.5–199.7
2057137.790.4–179.2177.7155.5–201
2058134.592.1–179.4180.5158.9–202.4
2059136.698.3–189.8181.8158.3–202.5
2060145.896.6–186.9185.1159.5–207.8
2061136.989.6–192.5180.6157.6–203.8
2062140.689.9–190180.6157.1–205.6
2063142.592.2–189.4185156.8–210.7
2064142.295.4–186.9184.7159.1–205.7
2065144.2101–193.2183.8157.1–208.5
2066144.2100.5–193.3187.3159.6–211
2067142.496.2–194.4184.9155.9–208.9
2068150.1103.4–196.7187.5161.7–211.1
2069145.898.5–197.6187.5162–211.3
2070143.196.6–202.5187.8160.4–213.6
2071151.7103.6–205.4190.7162.7–216.6
2072158.8110.5–197.3191.8168.2–215.8
2073159.8114–208.3191.4168.7–214.5
2074151.1103.1–205.9189.4162.6–217.7
2075148.7100.3–201.6189.3163.8–214.2
2076157.3106.3–204.8191.1164.3–214
2077161.8115.3–206.2191.9168.8–217.1
2078158.1114–211.5190.1166.5–219.3
2079158.3109.9–212.9190.1163.7–216.2
2080162.8109.6–212.5194.8167.7–219.4
2081161.1112.7–207.9191.7166.7–218.1
2082161.2114.4–207.5193.8169.2–216.7
2083159.9106–216.6194.6166.1–218.1
2084169.2117.7–215.2197.9170–219.7
2085175118.5–226197.8172.3–223.7
2086160.3115.4–221.3192.9169.6–220
2087162.4118.5–223.3195.2170.4–220.1
2088169.9116–218.4198.1165.1–225.5
2089166.9119.1–220196.3167.9–227.6
2090165.8119.6–223.4197.5172.4–228.1
2091175.2120.2–229.1199.2172.7–226.7
2092172.5119.9–228.5202.4170.7–226.6
2093169.9116.3–228.6202.1172.3–230.5
2094172.3118.2–221198.3168.6–224
2095179122.5–229.5200.7171.7–225.1
2096170.5117.6–228.9199.8173.6–226.3
2097169.6116.1–222.1201.2170–227.6
2098174.6115.2–234.3201.1170.7–227.2
2099170.7118.3–232.7198.3173.8–225.8
2100173.4123.5–231198.5173.3–227.7

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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