Angola vs Sudan

Angola vs Sudan: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 181.4 nights, or 3.97 times that in Angola.

nights a year · CMIP6

Angola vs Sudan: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 181.4 nights, or 3.97 times that in Angola.
AngolaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaSudan
201461.1242.4
201362.3240
201263.6242
201159.9242.2
201058.9240.6
200956.9236.5
200854.5237.1
200754.6236
200654235.3
200553.8233.1
200455.8233.5
200355.3235.6
200253.2234.7
200155235.4
200051.4230.5
199948.1232.1
199850.5230.2
199747.9231.1
199643.2227.3
199543227.8
199441.6225.3
199335.9219.1
199235.3217.8
199145.5227.3
199046.7227.5
198943.8223
198842.7223.1
198742.7224.4
198642.7226.4
198539.3222.1
198438.2220.7
198337.8217
198240.8216.3
198142223.2
198039.9220
197939.1218.4
197838.6218.5
197738.6219.3
197636.8220.1
197538.1215.7
197437.4217.5
197338.7220
197236.6217.9
197136215.5
197036.6217
196936.5213.1
196834.5214
196732.4210.3
196634.3213.3
196534.2213.4
196431.5213.2
196330.5210.1
196237.6217
196137.3216.9
196038.7221.3
195938217.8
195837.3216.2
195738218.9
195635.1217.2
195537.5216.6
195436.5218.9
195336.2215.1
195237.3216.4
195137.4218.5
195036.5214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaSudan
201567.946.7–89.4242.3225.3–258.3
201663.143.9–82.7241.4223.3–254.1
201768.248.7–87.9243.2223–259.1
201869.250.6–90.9242.3226.4–258.5
201969.547.5–97.7243.1221.7–260.4
20207351.1–97.1244.9225.9–261.7
202175.654.9–97.2245.6229.1–261.5
202278.758–105.7249230.9–262.3
202378.357.5–103.3247.1226.8–263.1
202483.457.6–108.1251.5232.8–266.1
202579.154–111.7250.7232.4–265.6
202682.455.4–117.5250230.8–266.6
202784.157.6–115.3248.8228.4–265.6
202885.862.6–117.4249232.2–263.1
20299165.8–120251.4232.1–266
203087.661.6–119.2252235.4–266.7
203192.363.9–122.5253.3234.4–268.9
20329566.1–124.5250.4232.3–266.6
203392.766.8–125254.4235.3–269.4
203491.466.7–131.8254.2234.5–269.9
203596.364.7–131.8258.3240.2–273.6
203695.964.2–129252.8235.6–268.6
2037103.870.4–136.7256.7238.6–271.8
2038105.376.7–136.8258.7244.8–272.1
203999.367–137.4259.5241.2–272.5
2040100.569.2–143.1256.4236.7–272.3
2041109.975.5–145.2259.1241.2–274.5
204210775.4–153.1258.7242–274.7
2043102.572.6–148.6258.1240.3–272.6
2044106.872.1–147.2257.3238.6–274.7
2045107.276.5–148.5258.8243.1–276.2
2046119.383.6–159.4261.1241.7–277.6
2047123.483.9–157.3261.4244.6–278.4
2048121.483.1–161.4260.4243.4–279.5
2049122.883.6–165.9261.9242.6–275.9
2050124.786.1–168.1263.5245.4–279
2051122.389.3–169.4263.6246.6–278.8
2052127.289.2–173.9263.8248.7–278.3
2053124.885.7–169.4262.8242.4–279.2
2054129.386.8–169.7266.3246.6–282.9
2055127.194.6–174.1265.6245.9–281.4
2056130.688.2–184.1264.1242.6–281.5
2057137.790.4–179.2266.4247.6–283.4
2058134.592.1–179.4265.2247.4–280.3
2059136.698.3–189.8268.4249.6–285.4
2060145.896.6–186.9263.6246.7–284.4
2061136.989.6–192.5266.9250.1–281.9
2062140.689.9–190266.4248.5–285
2063142.592.2–189.4267.1246.9–283.4
2064142.295.4–186.9269250.7–284.7
2065144.2101–193.2269.8253.9–285.6
2066144.2100.5–193.3271.4251.9–287.3
2067142.496.2–194.4270.9250–288.4
2068150.1103.4–196.7271.9251.7–289.8
2069145.898.5–197.6268251.1–286.2
2070143.196.6–202.5269252.3–285.8
2071151.7103.6–205.4275.5254.1–290.4
2072158.8110.5–197.3273.3254.2–289.4
2073159.8114–208.3271.9250.7–287.6
2074151.1103.1–205.9270.9249–290.1
2075148.7100.3–201.6273.1254–291.9
2076157.3106.3–204.8272.7255.2–290.9
2077161.8115.3–206.2274.6255.2–292.7
2078158.1114–211.5274.3255.6–291.2
2079158.3109.9–212.9272255.2–288.5
2080162.8109.6–212.5276.6256–292.2
2081161.1112.7–207.9275.1254.1–294.8
2082161.2114.4–207.5272.9258.7–288.6
2083159.9106–216.6276.5258–291.7
2084169.2117.7–215.2275.4253–294.9
2085175118.5–226275.3258.6–291.6
2086160.3115.4–221.3276.4256.9–296.6
2087162.4118.5–223.3273.5253.1–293.3
2088169.9116–218.4273.6253.7–293.6
2089166.9119.1–220276.5256.6–293.4
2090165.8119.6–223.4276.6256.4–294.6
2091175.2120.2–229.1277.4256.4–296.6
2092172.5119.9–228.5274.6254.3–294.9
2093169.9116.3–228.6278261.9–292.1
2094172.3118.2–221280.3262.2–294
2095179122.5–229.5277.5262.6–294
2096170.5117.6–228.9279.7258.7–297
2097169.6116.1–222.1276.3254.1–297.6
2098174.6115.2–234.3277.7258.2–295.5
2099170.7118.3–232.7276.8257.2–296.2
2100173.4123.5–231278.6259–294.3

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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