Morocco vs Saudi Arabia

Morocco vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 41.7 days in Morocco and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 124 days, or 3.97 times that in Morocco.

days a year · CMIP6

Morocco vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 41.7 days in Morocco and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 124 days, or 3.97 times that in Morocco.
MoroccoSaudi 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 Morocco at 67.8 days and Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearMoroccoSaudi Arabia
201441.7165.7
201340.8163.7
201240164.4
201139.6164.2
201039.5162.2
200939.6160
200839.4161.6
200737.2159.7
200638.4160.2
200537.5161
200437.4160.4
200338159.5
200237.2160.4
200136.7162
200036159.8
199936.8158.2
199835.3156.3
199735.1156.7
199633.4156.3
199532.4154.1
199431.5154.8
199329.8148.8
199227.8147
199133.6153.4
199035.6156.8
198932.6153.8
198833.6153.1
198731.1152.7
198629.8153.7
198529.7151
198429.4150
198328.4147.7
198231.1149.2
198129.6153.2
198029.8153
197932.2150.7
197829.5149.5
197730.3150.1
197628.1151.5
197529.4146.6
197429.3147.9
197328.9149.5
197229148.2
197128.6146.3
197029.3146.9
196929.1147.4
196828.9147.4
196728.3145.3
196628.8146.9
196527.3146.3
196428.3145.4
196329.2145.8
196229.4148.7
196130.2150.1
196030.1150.9
195930.3151
195830150.2
195730.1152.3
195629.1148.7
195530.3148.6
195430148.7
195330150.2
195230.6150.8
195130.9148.6
195031.2148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMoroccoSaudi Arabia
201541.632.3–52.5168.1155.2–180.8
201642.631.6–53.9167.4155–178.2
201743.533.5–53.8166.4152.1–178.2
201843.233.3–54.9167.1153.7–180.7
20194534–56.1168.2153.9–180.5
202044.733.4–55.1169.6156.7–182
202144.235.1–55.2168.7155.3–180.5
202247.336.3–58.5169.6153.9–183.2
202345.335.1–56.5169.7155.9–184.9
202447.136.3–58.6170.4157.8–184.5
202545.434.2–57.2171.2159.4–181.9
202645.834.5–58173.2159.7–185.5
202748.237–59.9173.9159.3–185.4
202848.736–59.7172.8158.3–185.8
202947.337.9–58.7171157.4–183.8
203047.437.1–58.3174.4160.6–185.9
203146.835.2–56.7175160.1–186.7
203248.839.2–59173.2160.2–185
203349.338–58.5176.3161.4–189.7
203451.338.8–61.8178.6164.5–193.4
203550.838.7–63.1176.1161.7–191.7
203650.240.1–63.2174.7162–187.2
203750.140–61.5177.3164.7–189.2
203852.841.5–63.7177.8163.1–191.7
203952.142.9–64.3178.3165.1–192.5
20405239.7–63.8178.6165.4–188.9
204151.240.2–62.7177.4162.3–190
20425341.8–65.9180165.1–193.2
204353.442–64.8179.6161.2–192.6
20445340.7–65.3180.4167.3–191
204554.243.2–65.4182.8167.9–195.9
204654.539.9–66.8182168–195.8
204754.543.4–66.5182.6170–195
204853.142.4–67.9184.1169.5–199.4
204954.743.5–68182.9169.7–195.4
205056.344.6–68.1184.9170.6–196.8
205157.144.2–68.9185.3171.5–197.6
205257.843.1–72.1184.2170–196.6
205358.644.8–72181.7168.3–195.1
205456.443–71183.9167.9–197.3
20555946.3–71.5187.7171.8–200.3
205658.346.8–71.6183.5168.6–196.2
20575947.3–71.8186.6172.5–201.3
205858.644.7–71.7184.9169.7–198.2
205956.844.8–72.3184.3169.9–199.3
206060.947.1–74.2188.1174–198.7
206160.949–73.7187.6174–198.4
206259.446.1–74.4186.9170.4–201.9
206362.148.5–77.1188.8174.6–201.8
206460.947.2–75.8187.2174.3–201.1
206562.349.4–76.3186.3171–200.8
206661.948.1–76.9188.6174.6–204.2
20676148.5–76.5190.8177.1–204.4
206863.248.7–78.4188.1176.8–201.4
206964.249.2–76189.2174–202.2
207063.750.7–77.6190.4177.1–204.1
207164.252.7–78.3193.2174.7–207.4
20726448.5–79.4190.3174.7–203.7
207365.150.8–78.8192.8177.3–207.7
20746449.7–78.3189.9174.1–206.8
207562.447.6–78.9190.3174.8–206.1
207664.950.8–77.9190.9175–206.9
207765.650.7–79.4193.3176.6–206.1
207865.349.7–81.2192.2178.3–207.4
20796652–80.4192177.9–203.8
208065.749.8–79.6192.9177.3–209.4
208165.150.9–80.5193.1174.9–208
208267.452.6–80.6192.8177.3–208.2
208367.852.8–82.8194.3178.4–208.7
208466.251.5–82.8193.4181.1–208.4
208567.152.2–85.5193.9178.3–211
208666.351.5–82.1193.2177.7–211.5
20876651.4–83.9194.6180.8–208.8
208869.850.3–84.9195178.3–211.9
208967.953.8–82195.7180.6–209.9
209069.254.5–83.3194.9178.8–210.6
209169.353.1–82.9195.9182.4–210.1
209268.752.6–80.8195.7181.2–210.7
209368.352.3–81.3194.4178.8–210.4
209468.953.1–84.9195.7181.7–209.9
209569.454.7–82.2196.2182.1–210.7
209670.752.4–85.8196.8178.8–213.1
209769.155.1–85195.2178–211.1
209868.752.1–83.8196.3177.7–212.9
209971.754.2–86.4195.3181.5–210.6
210067.853.9–83.5195.8182.5–210.3

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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