Brazil vs United Arab Emirates

Brazil vs United Arab Emirates: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 169.4 days, or 9.99 times that in Brazil.

days a year · CMIP6

Brazil vs United Arab Emirates: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 169.4 days, or 9.99 times that in Brazil.
BrazilUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 80.8 days and United Arab Emirates at 211.7 days in 2100.

Every year

days a year · CMIP6

YearBrazilUnited Arab Emirates
201418.8188.2
201321.8186.1
201219.5186.5
201119.6186.2
201015.4184.6
200916.6182.8
200814.6184.9
200711.6183.2
200612182.4
200514.2184
200416.2183
200315.5181.2
200212.4184.4
200116.1185.8
200013.5183.5
199911.4182.7
199812.8179.4
199711.7180.6
199610177.8
19958.8178.9
19949.1179.9
19937.8173.8
19925.6173.5
19918.5176.1
199013.3179.8
198910.2176.8
19889.7177.1
19879.4176.2
19869.9177
19857.5174.6
19847176.3
19836.4170.9
19828.5174.8
19819.4177.2
19808.1178.3
19799.1174.3
19789175.3
19778173.8
19766.9176.1
19756.8171.8
19747.1173.4
19737.3175
19727172.7
19715.8170
19706.7172.4
19696.9172.3
19686.4172.5
19676.4169.7
19666.4172.2
19656170.5
19645.9171.1
19634.9172.1
19627.2174.7
19617.5174.7
19607.8175.7
19597.5175.1
19587.9177.7
19578176.8
19566.9174.3
19558.6174
19548.3173.4
19536.8174.2
19527.2175.2
19517.2174.5
19507.7173.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilUnited Arab Emirates
201518.56.9–38.8191.2179.8–204.4
201618.57–35.9189.6178.1–197.4
201719.47.7–41.4188171.7–199.5
201819.87.6–41.4189.4176.5–202.3
2019218.9–47.1188.9176.5–199.6
202021.98.7–43.2191.1179.6–203.2
202124.69.7–51.8189.5176.6–201.4
202223.410–51.2189.6170.9–200.8
202325.710.5–55.5190.8179–205.1
202427.713.3–51.1192.5179.6–206
202527.210.5–57.6190.7180.4–202.7
202624.48.1–53.1195.8183.5–207.4
202728.28.9–55.7194.4181.1–206.7
202829.411.9–61.9194.9182.7–205.4
202933.916.4–66.7192.1179.1–205.4
203028.211.6–56.6196.6182.9–206.4
203135.315.2–70.7196.3182.6–206.8
203235.616.6–67.3194.1182.4–203
20333113.5–63.2197.4184.9–212.1
203431.214.1–75.1203.2184.1–214.6
203530.814.4–68197.7184–208.1
203632.413.7–58.7196.3179.4–207.3
203739.419.6–66.5196.4187.8–208.6
203838.215.4–71.3199.4181.9–210
203937.214.6–75.5199.8185.5–210.9
204038.518.6–76.2199.6182.7–208.1
204141.819.9–76.6198.1183.2–210.9
204239.917–86.1199.2184.4–211.7
204337.614.9–81.2201.1183.5–212.8
204438.416.1–84.4201.1188.2–208.5
204540.420.4–74.9202189.1–212.7
20465023.7–86.7199.2188.6–214.5
204743.522.9–86.4201.6193.4–213.9
204850.424.6–96.2204.3189.9–219.4
204949.823.9–90.2202.4187.6–213.8
205046.922–92.7206.3191–216.8
205147.324.9–95.6205.6193–217.4
205254.728.7–97.5204.2190.8–217.7
205347.122.6–92.3204.1189.3–214.8
205445.221.6–92.2201.8189.2–219.8
205552.228.6–103.8207.2190.6–220.1
205653.223.6–110.8204.4189.9–217.7
205750.620.2–94.7208.6196.9–223
205855.325–117.3204.4194.1–215.5
205961.229–118.5205.3186.3–217.3
20606531.1–111.3208.1195–218.2
206154.123.5–115.4206.4193.8–215.8
206254.924.7–127.7209.9192.6–220.5
206359.428.6–112.9207.6195.5–221.1
206454.828.7–106.1205.1189–222.7
206562.330.3–119.5206.2190.5–221.6
206662.330.6–113.5209.6192.6–225.1
206760.926.9–113.1210.1197.6–223.1
206866.730.1–119.7205194.4–216.7
206960.631.5–113.8209192.1–222.3
207059.932.1–124.8209.4198.4–224
207164.433.8–111214.1194.6–225.3
20726830.5–128.1210.3194–222.6
207372.736–127.6211.9196.4–224.7
207468.832.6–125.7211.3194.9–225.3
207567.832.7–116.4209.5194.1–226.1
207667.933.7–124.9208.3195–226.6
207772.535.5–128.9212.1197.6–223.3
20787336.7–132211.5198.5–223.7
207969.233.6–125.5207.9195.3–223.5
208067.834.9–122.2209.5195.7–225.6
208170.936.9–140.4211.3191.2–224.7
208270.640.7–125.8211196.8–227.8
208375.735.7–152.5214.3198.3–225.1
20847734.1–140.3212.4201.1–226.6
208583.937.2–147.8212.3198.9–229.9
208673.334.6–141213.2196.1–230.7
208778.439.2–144.2213.3201.4–225.1
208879.335.1–152213.1201.1–229.8
208975.239–146.4214.3201.6–225.4
209078.341.8–148.6213.9200.9–226.3
20918135.2–147.9211.5201.4–224.6
20927936.6–148212.1200.8–225.7
20937739.3–148.7212.2197.4–229.7
20947939.6–144.5213.7198.4–226.1
209588.636.5–155.9215204.2–226.4
209675.736.1–152.8215.8198.9–226.3
20977936.7–135.6213196.7–228
209882.737.9–166.4214.6200.6–230.3
209977.941–144.7215203.6–229.1
210080.840.2–141.3211.7198.7–224.8

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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