Angola vs Malawi

Angola vs Malawi: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 77.1 nights, or 2.26 times that in Angola.

nights a year · CMIP6

Angola vs Malawi: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 77.1 nights, or 2.26 times that in Angola.
AngolaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malawi 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 Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaMalawi
201461.1138.1
201362.3138.9
201263.6137.4
201159.9136.6
201058.9132.4
200956.9131.4
200854.5130.8
200754.6132.8
200654129.8
200553.8129.5
200455.8133.4
200355.3132.5
200253.2130.3
200155134
200051.4126.6
199948.1124.8
199850.5127.1
199747.9124.2
199643.2121.3
199543120.9
199441.6118.4
199335.9113.8
199235.3114.1
199145.5120.9
199046.7123.8
198943.8120.5
198842.7120.8
198742.7118.8
198642.7121.1
198539.3115.7
198438.2116.2
198337.8115.5
198240.8115.1
198142119
198039.9116.9
197939.1117.7
197838.6114.8
197738.6117.2
197636.8114
197538.1114
197437.4115.2
197338.7114.7
197236.6113.8
197136114.1
197036.6115.8
196936.5114.3
196834.5110
196732.4109.8
196634.3111
196534.2111.5
196431.5106.3
196330.5107.5
196237.6114.7
196137.3116
196038.7117.4
195938115.6
195837.3116.4
195738114.6
195635.1111.4
195537.5115.2
195436.5113.9
195336.2113
195237.3113.5
195137.4113.5
195036.5112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaMalawi
201567.946.7–89.4145.7126.7–164.3
201663.143.9–82.7139.8122.6–157.4
201768.248.7–87.9143.6127–161.8
201869.250.6–90.9143.1124.6–162.6
201969.547.5–97.7143.8128.3–161.4
20207351.1–97.1145127.3–165.8
202175.654.9–97.2145.3128–163.6
202278.758–105.7151130.1–169.1
202378.357.5–103.3149.2129.5–171.2
202483.457.6–108.1152.4130–172.6
202579.154–111.7151.1129.7–170.4
202682.455.4–117.5151.1126.2–173.8
202784.157.6–115.3154.4135.1–173.1
202885.862.6–117.4155.5134.6–174
20299165.8–120159.8139.2–178.5
203087.661.6–119.2155.6138.7–174.5
203192.363.9–122.5161.1143.4–177.6
20329566.1–124.5160.8141.3–181.3
203392.766.8–125161.3135.6–179.2
203491.466.7–131.8160.9138.9–185
203596.364.7–131.8164.3140.4–189.5
203695.964.2–129163.8137.6–182.5
2037103.870.4–136.7166.9144.6–189.2
2038105.376.7–136.8172.2148.4–191.2
203999.367–137.4164.8147.3–188.2
2040100.569.2–143.1164.4146.4–189.7
2041109.975.5–145.2169.3143.7–192.5
204210775.4–153.1169.8146.3–197.8
2043102.572.6–148.6167.5147.1–193.2
2044106.872.1–147.2172.6148.3–197
2045107.276.5–148.5170.4153.1–194.7
2046119.383.6–159.4176.3151.2–203.1
2047123.483.9–157.3178.7157.8–200.9
2048121.483.1–161.4180.7158.9–204.1
2049122.883.6–165.9176.7154–205.4
2050124.786.1–168.1180.4155.2–204.9
2051122.389.3–169.4182.9162.1–207.4
2052127.289.2–173.9184.9163.2–209.6
2053124.885.7–169.4177.2149.6–207.4
2054129.386.8–169.7185.1157.1–208
2055127.194.6–174.1186.1159.2–212.6
2056130.688.2–184.1184.6158.5–214.3
2057137.790.4–179.2184.7159.3–212.3
2058134.592.1–179.4188.5163.8–214.7
2059136.698.3–189.8189.8166.9–218.5
2060145.896.6–186.9192.6163.4–218.1
2061136.989.6–192.5186.4158.8–216.8
2062140.689.9–190192.3163.9–218.6
2063142.592.2–189.4189.2165.2–220.3
2064142.295.4–186.9197161.3–218
2065144.2101–193.2193.1165.8–225.2
2066144.2100.5–193.3201170.1–224.7
2067142.496.2–194.4193.1164.2–223.7
2068150.1103.4–196.7198.6163.7–227.1
2069145.898.5–197.6199.4165.8–225
2070143.196.6–202.5198.7168–226.7
2071151.7103.6–205.4199.3167.9–233.5
2072158.8110.5–197.3202.3173.2–226.2
2073159.8114–208.3205.4168.2–233.4
2074151.1103.1–205.9198.2175.4–227.7
2075148.7100.3–201.6199.6168.9–228.3
2076157.3106.3–204.8198.8169.8–225.2
2077161.8115.3–206.2202172.2–231.2
2078158.1114–211.5203.5175.8–232.1
2079158.3109.9–212.9203.6172.2–236.1
2080162.8109.6–212.5204.7172.2–234.3
2081161.1112.7–207.9202.2174.9–231.3
2082161.2114.4–207.5204.3178.3–228.6
2083159.9106–216.6205.8170.7–238.3
2084169.2117.7–215.2208.1175.9–235.6
2085175118.5–226211.1179.4–241
2086160.3115.4–221.3203.3175.4–237
2087162.4118.5–223.3205.3181.2–237.7
2088169.9116–218.4211.6174.7–240.6
2089166.9119.1–220208.9180.5–237.8
2090165.8119.6–223.4209.4173.4–243
2091175.2120.2–229.1214.3179.7–244.8
2092172.5119.9–228.5213.2176.8–242.3
2093169.9116.3–228.6212.5177.8–242.2
2094172.3118.2–221211.8179.7–241.5
2095179122.5–229.5216.9185–243.8
2096170.5117.6–228.9213.1182–247.6
2097169.6116.1–222.1210.8174.9–242.1
2098174.6115.2–234.3214.4181.5–242.2
2099170.7118.3–232.7213.5181.9–244.1
2100173.4123.5–231213.3181.5–246.3

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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