Iran vs Saudi Arabia

Iran vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 78.4 days in Iran and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 87.3 days, or 2.11 times that in Iran.

days a year · CMIP6

Iran vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 78.4 days in Iran and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 87.3 days, or 2.11 times that in Iran.
IranSaudi 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 Iran at 110.7 days and Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearIranSaudi Arabia
201478.4165.7
201378.1163.7
201276.8164.4
201176.6164.2
201073.4162.2
200974.5160
200873.5161.6
200774159.7
200674.7160.2
200574.3161
200473.2160.4
200373159.5
200274.9160.4
200173.5162
200074159.8
199972.2158.2
199870.8156.3
199771156.7
199670.2156.3
199568.6154.1
199466.8154.8
199364.6148.8
199263147
199168.9153.4
199070.1156.8
198969.1153.8
198868.4153.1
198767.4152.7
198666.9153.7
198566.7151
198466.4150
198362147.7
198265.7149.2
198168.3153.2
198067.1153
197968.2150.7
197865.1149.5
197764.8150.1
197665.3151.5
197564.3146.6
197463.7147.9
197363.7149.5
197264.7148.2
197163146.3
197062.2146.9
196963.2147.4
196863.7147.4
196764.6145.3
196664.1146.9
196563.3146.3
196462.2145.4
196364.1145.8
196265.5148.7
196166.3150.1
196065.8150.9
195964.3151
195866.2150.2
195766152.3
195663.8148.7
195564.3148.6
195465.4148.7
195365150.2
195266.4150.8
195165.5148.6
195066.6148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranSaudi Arabia
201581.369.5–93.3168.1155.2–180.8
201681.970.3–93167.4155–178.2
201781.367.6–92.1166.4152.1–178.2
201880.569–93.6167.1153.7–180.7
201982.370.5–92.9168.2153.9–180.5
202083.472.3–96.2169.6156.7–182
202182.971.4–96.3168.7155.3–180.5
202282.672–95.7169.6153.9–183.2
202386.571–98.9169.7155.9–184.9
202484.771.6–98.3170.4157.8–184.5
202586.574.4–98.2171.2159.4–181.9
202685.773.5–99.3173.2159.7–185.5
202787.175–98.9173.9159.3–185.4
202886.871.2–100172.8158.3–185.8
202985.773–97.6171157.4–183.8
203087.375.5–100.7174.4160.6–185.9
203188.674.7–102.5175160.1–186.7
203288.875.2–102.3173.2160.2–185
20339076–104.7176.3161.4–189.7
203492.777.2–106.2178.6164.5–193.4
203591.377.9–105.2176.1161.7–191.7
203690.277.4–103.2174.7162–187.2
203792.779.2–107.3177.3164.7–189.2
203892.778.9–104.8177.8163.1–191.7
20399278.6–105.8178.3165.1–192.5
204092.779.2–106.8178.6165.4–188.9
204191.677.9–103.9177.4162.3–190
204295.780.4–108.4180165.1–193.2
204393.178.7–107.6179.6161.2–192.6
204493.180–107.2180.4167.3–191
204596.981.4–111.2182.8167.9–195.9
204695.182.6–108.4182168–195.8
204797.584.1–111.8182.6170–195
204897.585–110.1184.1169.5–199.4
204997.882–111.6182.9169.7–195.4
205099.885.2–113.3184.9170.6–196.8
205199.883.5–112.1185.3171.5–197.6
205299.383.9–113.9184.2170–196.6
20539883.4–111.8181.7168.3–195.1
20549983.2–112.3183.9167.9–197.3
2055102.486.9–116.3187.7171.8–200.3
205610086.2–114.2183.5168.6–196.2
2057101.688.8–116.5186.6172.5–201.3
2058101.885.4–117184.9169.7–198.2
20599985.4–111.1184.3169.9–199.3
2060103.488.2–117.6188.1174–198.7
2061103.487.5–116.8187.6174–198.4
2062101.885.5–118.1186.9170.4–201.9
2063104.489.9–118.3188.8174.6–201.8
2064102.788.3–118.1187.2174.3–201.1
2065103.888.1–119.2186.3171–200.8
2066104.790.8–119.2188.6174.6–204.2
2067106.888.7–121.8190.8177.1–204.4
206810689.2–118.7188.1176.8–201.4
2069105.889–120.4189.2174–202.2
2070105.391.5–120.2190.4177.1–204.1
207110791.4–122.7193.2174.7–207.4
2072106.487–122.7190.3174.7–203.7
2073107.990.9–125192.8177.3–207.7
2074106.691.1–121.4189.9174.1–206.8
2075106.492.1–121190.3174.8–206.1
2076105.689.3–125.6190.9175–206.9
2077107.389.9–121.9193.3176.6–206.1
2078105.791.4–123.3192.2178.3–207.4
2079106.290.6–122192177.9–203.8
2080107.593.1–126.4192.9177.3–209.4
2081107.991.3–125.2193.1174.9–208
2082109.294–124.3192.8177.3–208.2
2083110.292.8–126.8194.3178.4–208.7
2084109.895.4–124.3193.4181.1–208.4
2085107.593.5–125.4193.9178.3–211
2086109.693.4–125.6193.2177.7–211.5
2087111.295.2–125.7194.6180.8–208.8
2088112.494.1–127195178.3–211.9
208911196.6–126.2195.7180.6–209.9
2090110.192.6–128194.9178.8–210.6
2091110.694.3–127195.9182.4–210.1
2092113.596.8–128.3195.7181.2–210.7
2093111.896.7–124.7194.4178.8–210.4
2094112.595.8–128.9195.7181.7–209.9
2095111.694.6–127196.2182.1–210.7
2096112.595–128.5196.8178.8–213.1
2097110.392.6–127.1195.2178–211.1
2098111.595.6–128.1196.3177.7–212.9
2099110.694–127.5195.3181.5–210.6
2100110.793.4–130.1195.8182.5–210.3

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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