Ethiopia vs Saudi Arabia

Ethiopia vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 42.9 days in Ethiopia and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 122.8 days, or 3.86 times that in Ethiopia.

days a year · CMIP6

Ethiopia vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 42.9 days in Ethiopia and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 122.8 days, or 3.86 times that in Ethiopia.
EthiopiaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ethiopia at 80.7 days and Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearEthiopiaSaudi Arabia
201442.9165.7
201342.4163.7
201241.6164.4
201141.7164.2
201041162.2
200939.4160
200838.4161.6
200737.3159.7
200638.4160.2
200538.5161
200437.6160.4
200338.3159.5
200239160.4
200138.7162
200037.3159.8
199936.7158.2
199836.8156.3
199735.7156.7
199634.4156.3
199534.2154.1
199432.7154.8
199330.2148.8
199229.7147
199134.7153.4
199034.2156.8
198933.7153.8
198834.3153.1
198734.7152.7
198634.2153.7
198532151
198432.1150
198331.1147.7
198233.2149.2
198134153.2
198033.9153
197933150.7
197832.2149.5
197732.6150.1
197631.1151.5
197530.4146.6
197431.9147.9
197332.6149.5
197231.4148.2
197130.4146.3
197030.3146.9
196931147.4
196829.8147.4
196729.5145.3
196630.3146.9
196529.6146.3
196427.2145.4
196328.6145.8
196231.8148.7
196132.6150.1
196031.1150.9
195931.3151
195830.9150.2
195732152.3
195631.3148.7
195530.5148.6
195431.1148.7
195331.7150.2
195231.5150.8
195131.4148.6
195031.4148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaSaudi Arabia
201543.232.9–53.6168.1155.2–180.8
201641.931.5–52.8167.4155–178.2
201743.730.8–54.5166.4152.1–178.2
201843.231.7–56.4167.1153.7–180.7
201943.132.6–54.9168.2153.9–180.5
202045.232.1–57169.6156.7–182
20214432.6–55.5168.7155.3–180.5
202245.633–57.2169.6153.9–183.2
202346.934.4–59.5169.7155.9–184.9
202448.136–61.5170.4157.8–184.5
202546.334.6–58.6171.2159.4–181.9
202645.732.3–63.1173.2159.7–185.5
202746.132.5–61.1173.9159.3–185.4
202847.633.9–62172.8158.3–185.8
202949.435.8–62.7171157.4–183.8
203048.535.7–62.6174.4160.6–185.9
203151.139.4–65.9175160.1–186.7
203250.137.7–64.1173.2160.2–185
203353.438.5–66.4176.3161.4–189.7
203451.538.9–67.1178.6164.5–193.4
203551.737.3–67.5176.1161.7–191.7
203650.537.8–64.5174.7162–187.2
203752.738.1–68.3177.3164.7–189.2
203853.640.2–68.6177.8163.1–191.7
203954.840.3–68.9178.3165.1–192.5
204053.740.8–71.1178.6165.4–188.9
204155.640.9–72.9177.4162.3–190
204255.742–71.7180165.1–193.2
204354.839.1–72.7179.6161.2–192.6
204457.440.3–72.9180.4167.3–191
20455841.7–76.4182.8167.9–195.9
204660.840.5–78.9182168–195.8
204761.544–78.8182.6170–195
204860.143.7–78184.1169.5–199.4
204962.445.4–81182.9169.7–195.4
20506044.7–80.4184.9170.6–196.8
205162.245.7–85.1185.3171.5–197.6
205262.244.5–79.6184.2170–196.6
205361.143.4–81.4181.7168.3–195.1
205459.343.9–79.1183.9167.9–197.3
205564.645.2–84.1187.7171.8–200.3
205662.243.7–85.5183.5168.6–196.2
205764.347.1–87.3186.6172.5–201.3
205865.743.7–87.1184.9169.7–198.2
205966.145.7–88184.3169.9–199.3
206067.546.8–88.1188.1174–198.7
206167.548.2–88.8187.6174–198.4
206267.146.1–91.6186.9170.4–201.9
206367.648.5–88.1188.8174.6–201.8
206468.946.1–87.5187.2174.3–201.1
206566.149.5–91.3186.3171–200.8
206668.249.7–87.1188.6174.6–204.2
206769.348.8–91.1190.8177.1–204.4
206867.548.2–92.4188.1176.8–201.4
206969.450.1–90189.2174–202.2
207067.948.5–95.4190.4177.1–204.1
207173.149.8–96.2193.2174.7–207.4
207272.849.4–92.6190.3174.7–203.7
207371.653.2–95.3192.8177.3–207.7
207468.448.8–96.8189.9174.1–206.8
207572.849.6–96.6190.3174.8–206.1
20767552.9–98.3190.9175–206.9
207777.651.6–104.2193.3176.6–206.1
207872.252.6–97.6192.2178.3–207.4
207974.452.7–95.3192177.9–203.8
20807750.9–100.6192.9177.3–209.4
208178.953.6–104.3193.1174.9–208
208277.354.5–99.1192.8177.3–208.2
208378.455.3–102.5194.3178.4–208.7
20847854.4–101.3193.4181.1–208.4
208578.855–103.6193.9178.3–211
208681.653.6–106.3193.2177.7–211.5
208778.353–102.2194.6180.8–208.8
20887854–103.9195178.3–211.9
208978.455.9–100.2195.7180.6–209.9
209082.555.7–105.3194.9178.8–210.6
209182.554.6–108.2195.9182.4–210.1
209280.652.6–104195.7181.2–210.7
209380.758.9–107194.4178.8–210.4
209481.357.6–105.4195.7181.7–209.9
20958257–107.8196.2182.1–210.7
209680.654–107.6196.8178.8–213.1
209779.556.7–107.5195.2178–211.1
209878.853.4–108.7196.3177.7–212.9
20998155.7–110.5195.3181.5–210.6
210080.755.5–106.4195.8182.5–210.3

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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