Angola vs Uganda

Angola vs Uganda: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Uganda, by 63.7 nights, or 2.04 times that in Angola.

nights a year · CMIP6

Angola vs Uganda: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Uganda, by 63.7 nights, or 2.04 times that in Angola.
AngolaUgandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Uganda 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaUganda
201461.1124.7
201362.3124
201263.6122.2
201159.9125.7
201058.9122.5
200956.9114.8
200854.5114.1
200754.6111.2
200654117.4
200553.8113.8
200455.8114.6
200355.3114.4
200253.2114.4
200155117.1
200051.4109
199948.1105.5
199850.5105
199747.9106.1
199643.2102.1
19954399.9
199441.694.6
199335.990.8
199235.389.9
199145.5102.1
199046.7103.8
198943.899.1
198842.798.6
198742.798.3
198642.799.2
198539.392.1
198438.294.6
198337.890.4
198240.894.4
19814298.5
198039.996.3
197939.193.9
197838.691
197738.695.1
197636.892
197538.189.6
197437.491.8
197338.792.8
197236.690
19713687.1
197036.688.8
196936.588
196834.587.3
196732.482.3
196634.382.5
196534.282.2
196431.578.2
196330.580.3
196237.688.5
196137.390.7
196038.793.2
19593891.3
195837.388.7
19573890.1
195635.188.8
195537.589
195436.589.5
195336.289
195237.389.6
195137.491.1
195036.587.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaUganda
201567.946.7–89.4131.598.6–164.1
201663.143.9–82.712398.5–154.1
201768.248.7–87.9133.7108.6–162.7
201869.250.6–90.9134.2102.5–164
201969.547.5–97.7131.3104.8–166.2
20207351.1–97.1140.7102.6–171.5
202175.654.9–97.2137.9112.9–175.4
202278.758–105.7140116.2–169.9
202378.357.5–103.3140.4114.2–184.8
202483.457.6–108.1151.1113.5–186.7
202579.154–111.7143108.5–176.4
202682.455.4–117.5144.6109.7–179.6
202784.157.6–115.3147.6116–175.4
202885.862.6–117.4151.6120.2–179.6
20299165.8–120155.2127.3–178.6
203087.661.6–119.2150.4117.6–185.1
203192.363.9–122.5161.6132–187.2
20329566.1–124.5159.1134.2–190.5
203392.766.8–125158.9123.4–200.6
203491.466.7–131.8161.5135.6–202.5
203596.364.7–131.8164.9126.3–193
203695.964.2–129158.5127.7–195.4
2037103.870.4–136.7168.3138.2–207.3
2038105.376.7–136.8173.8139.7–206.2
203999.367–137.4171.2130.1–205
2040100.569.2–143.1170.4134.1–207.4
2041109.975.5–145.2176.3144.6–208
204210775.4–153.1175137.8–214.3
2043102.572.6–148.6173.6132.8–207.6
2044106.872.1–147.2176.1136.8–206.9
2045107.276.5–148.5178.9138.3–217.7
2046119.383.6–159.4191.9136.6–235
2047123.483.9–157.3187.7156.6–225.3
2048121.483.1–161.4189.3151.5–227.4
2049122.883.6–165.9195.1154.9–233.6
2050124.786.1–168.1191150.7–236.4
2051122.389.3–169.4191.2154.4–228.2
2052127.289.2–173.9192.6157.7–231.7
2053124.885.7–169.4194.5149.7–233.5
2054129.386.8–169.7199156.3–236.8
2055127.194.6–174.1201.3151.7–240.7
2056130.688.2–184.1198.9156.9–240.2
2057137.790.4–179.2200165.5–244.7
2058134.592.1–179.4208.8156.5–248.3
2059136.698.3–189.8212.7171.1–254
2060145.896.6–186.9212.6160.3–253.1
2061136.989.6–192.5208.9162.4–258.1
2062140.689.9–190206.4159.1–267.6
2063142.592.2–189.4209.3168.5–246.3
2064142.295.4–186.9210.6166.2–253.8
2065144.2101–193.2214.5167.8–261.1
2066144.2100.5–193.3211.9171.8–256.1
2067142.496.2–194.4208.4168.3–269.8
2068150.1103.4–196.7216.4169.7–268.7
2069145.898.5–197.6213170.3–268.1
2070143.196.6–202.5216.4176.4–270.9
2071151.7103.6–205.4215.5174.6–273.5
2072158.8110.5–197.3227.3184.1–272.3
2073159.8114–208.3230.4189.3–278.5
2074151.1103.1–205.9220.7176.9–277
2075148.7100.3–201.6217.7167–274.2
2076157.3106.3–204.8228.1178.9–279
2077161.8115.3–206.2229.5189.6–280.5
2078158.1114–211.5225.6187.8–276.4
2079158.3109.9–212.9231.9168.8–277.7
2080162.8109.6–212.5232.8182.6–283.1
2081161.1112.7–207.9227.9187.6–279.3
2082161.2114.4–207.5233.1185.6–279.4
2083159.9106–216.6232.2175.7–297
2084169.2117.7–215.2237.2185.5–288.8
2085175118.5–226239.5192.4–291.7
2086160.3115.4–221.3236.2189.8–289.4
2087162.4118.5–223.3239.4188.9–294
2088169.9116–218.4236.8193.6–288.9
2089166.9119.1–220238.8193.8–293.7
2090165.8119.6–223.4237.7190.1–301.5
2091175.2120.2–229.1251188.7–300.1
2092172.5119.9–228.5243.4194.9–297.8
2093169.9116.3–228.6244.4199.2–296.8
2094172.3118.2–221245.6202.9–299.8
2095179122.5–229.5253.2202.4–306.1
2096170.5117.6–228.9241.4196.5–304
2097169.6116.1–222.1243.1194–296.6
2098174.6115.2–234.3242.9199–302.3
2099170.7118.3–232.7247.3194.4–306.1
2100173.4123.5–231245.3195.5–307.2

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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