Angola vs Mali

Angola vs Mali: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 189.1 nights, or 4.1 times that in Angola.

nights a year · CMIP6

Angola vs Mali: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 189.1 nights, or 4.1 times that in Angola.
AngolaMaliCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali 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 Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaMali
201461.1250.2
201362.3247.3
201263.6253.1
201159.9251.9
201058.9250.4
200956.9248
200854.5247.8
200754.6248.1
200654245.5
200553.8244.3
200455.8243.9
200355.3247.1
200253.2245.8
200155245.6
200051.4243.2
199948.1242.4
199850.5240.6
199747.9240.7
199643.2236.4
199543238
199441.6236.2
199335.9235.1
199235.3232
199145.5238.7
199046.7241
198943.8236.3
198842.7234.7
198742.7236.1
198642.7237.1
198539.3235.3
198438.2233
198337.8231.2
198240.8234.9
198142233.9
198039.9231.5
197939.1233.8
197838.6234.8
197738.6233.6
197636.8231.7
197538.1232.4
197437.4229.7
197338.7230.3
197236.6230.7
197136229.5
197036.6229.9
196936.5227.3
196834.5230.5
196732.4229
196634.3228.1
196534.2230.2
196431.5228.9
196330.5228.2
196237.6231.7
196137.3231.6
196038.7235.1
195938231.8
195837.3231.8
195738233.3
195635.1230.7
195537.5230.6
195436.5232
195336.2228.3
195237.3229.2
195137.4231.4
195036.5228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaMali
201567.946.7–89.4247.9231.5–264.7
201663.143.9–82.7248231.3–262.6
201768.248.7–87.9252.7233.6–268.2
201869.250.6–90.9254.2236.4–269
201969.547.5–97.7251.6233.5–272.3
20207351.1–97.1251.3231.2–270.7
202175.654.9–97.2254.8238.5–270
202278.758–105.7257237.8–275.3
202378.357.5–103.3254.2239.6–269.2
202483.457.6–108.1259.3242.3–276.8
202579.154–111.7256.2239.2–272.3
202682.455.4–117.5256.8237.2–277.8
202784.157.6–115.3258.5240.3–273.1
202885.862.6–117.4259.7243.6–273.9
20299165.8–120260.8240.3–275.3
203087.661.6–119.2258.1237.5–272.6
203192.363.9–122.5262.2243.4–280.6
20329566.1–124.5260.5242.1–278.2
203392.766.8–125262.1241.7–280.3
203491.466.7–131.8260.7242–275.3
203596.364.7–131.8261.5244.8–283.6
203695.964.2–129262.5244.6–281.1
2037103.870.4–136.7264.5245.2–279.6
2038105.376.7–136.8266246.7–283.2
203999.367–137.4262.3245–281.6
2040100.569.2–143.1263.6247.5–279.6
2041109.975.5–145.2264.6250.8–283.1
204210775.4–153.1265.7245.9–283.5
2043102.572.6–148.6264.8246.9–278.8
2044106.872.1–147.2269.3247.4–284.7
2045107.276.5–148.5265.6248.9–283.7
2046119.383.6–159.4269.8247.5–286.4
2047123.483.9–157.3271.9251.2–290.3
2048121.483.1–161.4270.4254.4–288.2
2049122.883.6–165.9272252.1–288.2
2050124.786.1–168.1269.5250.6–286.4
2051122.389.3–169.4268.8251.7–286.9
2052127.289.2–173.9270.1252.7–292.1
2053124.885.7–169.4269.3249.2–288.8
2054129.386.8–169.7270.3251.7–290.6
2055127.194.6–174.1270.9252.7–288.1
2056130.688.2–184.1273248.6–291.4
2057137.790.4–179.2275.5255.2–295
2058134.592.1–179.4271252.7–293.2
2059136.698.3–189.8274.5259.3–299.6
2060145.896.6–186.9273.5258–293.7
2061136.989.6–192.5275.4257–298
2062140.689.9–190270.8251.7–291.8
2063142.592.2–189.4275.9256.6–292.2
2064142.295.4–186.9276.4256.6–298.4
2065144.2101–193.2275.3256–295.1
2066144.2100.5–193.3276.9260–296.5
2067142.496.2–194.4272.6255.4–293.3
2068150.1103.4–196.7277.5258.1–296.5
2069145.898.5–197.6276.1257.7–293.3
2070143.196.6–202.5277.2256.6–296.6
2071151.7103.6–205.4277.2258.4–295.6
2072158.8110.5–197.3281.9263.8–298.9
2073159.8114–208.3276.8257.9–296.8
2074151.1103.1–205.9277.7258.7–295.9
2075148.7100.3–201.6278.5260.1–298.5
2076157.3106.3–204.8278.1261.1–294.2
2077161.8115.3–206.2283.8263.1–302.3
2078158.1114–211.5283.8263.5–299.4
2079158.3109.9–212.9278.9259.2–300.6
2080162.8109.6–212.5281.2262.1–299.4
2081161.1112.7–207.9279.1259.3–301.8
2082161.2114.4–207.5280.2260.2–298.4
2083159.9106–216.6280.8260.8–302.3
2084169.2117.7–215.2280.4263.8–301
2085175118.5–226284.6259.2–303
2086160.3115.4–221.3281.9262.8–302.4
2087162.4118.5–223.3279.7258.8–302.8
2088169.9116–218.4282.3260.7–303.3
2089166.9119.1–220283.4262.4–300.5
2090165.8119.6–223.4283.9259.8–301.9
2091175.2120.2–229.1283.1260.4–304.8
2092172.5119.9–228.5281.6259.7–303.1
2093169.9116.3–228.6284.8265.8–305.4
2094172.3118.2–221284.6262.8–305.6
2095179122.5–229.5283.6262–304.6
2096170.5117.6–228.9284.9263.3–306.3
2097169.6116.1–222.1280261–300.5
2098174.6115.2–234.3282.5262–302.1
2099170.7118.3–232.7285.3266.2–305.4
2100173.4123.5–231283.6262.8–304.1

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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