Morocco vs Saudi Arabia

Morocco vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 59.6 nights in Morocco and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 121.9 nights, or 3.04 times that in Morocco.

nights a year · CMIP6

Morocco vs Saudi Arabia: Tropical nightsTropical nights in 2014: 59.6 nights in Morocco and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 121.9 nights, or 3.04 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 103.8 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearMoroccoSaudi Arabia
201459.6181.5
201360.7180.4
201258.8182.8
201158.4182.7
201056.7179.2
200958.6177.1
200858.5180.3
200754.8178.9
200657.5177.5
200556.9177.9
200456.1177.6
200354.6177.4
200255.5175.6
200156.4178.1
200052.8176.4
199953.6173.2
199851.9173.4
199751.2173.8
199650.4172
199548169.2
199447.9170.4
199344.6164.6
199240.6165.9
199148.7169.2
199052.5172.7
198948.3168.9
198848.8166.8
198747.3167.3
198643.6169.4
198543.5166
198443.6165
198342.1163.5
198243.7164.7
198143.6168.9
198042.9166.8
197945.9165.3
197844164.8
197745165.6
197640.1165.9
197542.5161.2
197442162.9
197343.5163.7
197242.2163.7
197140.7160.4
197041.3162.5
196940.7161.3
196842162.7
196741.1159.5
196640.5159.5
196539.4159.5
196442.5159.9
196341.7160.2
196243.1163.2
196142.7163.7
196043165.7
195943.3164.4
195842.7164.1
195742165.5
195643.8163.6
195545.5162
195442.3161.2
195342.8162.5
195243.8163.4
195144.1161.2
195045.1161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMoroccoSaudi Arabia
201562.147.1–77184.9169.4–198.7
201662.747.4–77.9183167.7–195.7
201763.749–78.1182.6168.1–196.7
201864.449.6–80.6186.8173.1–199.4
201967.950.6–82.7184.1168.8–199.1
202065.649.2–82185.3171.8–198.9
202166.351–84.5188.6173.6–202.8
202270.554.8–87.8187.6170.7–202
202367.653.2–82.4188.6173–203.8
202470.456.5–85.5187.1172.9–203.9
202568.652.1–87191.5176–206.1
202668.754.7–84.2191.8177.1–205.5
202772.957.6–88.1191.2176.6–206.8
202873.253.6–89.6191.9175.5–205.1
202970.754.6–90.5192.2176.6–205.7
203071.453.4–86193.3178.4–206.3
203173.354.3–89.9194.7179.1–207.6
203274.160–88.7192.2175.2–206
203373.857.6–88.9192.6177.5–206.9
203477.761–94.3196.7181.6–213
203575.857.8–92.8196.5179.9–211.6
203675.660.5–91.7194.1180–209.7
203776.458–94.8197183.7–209.9
203877.962.2–97.3198.4182.3–213.3
203978.262.7–94.7198184.4–213.6
204073.957.1–97.5199.2182.1–212.7
204176.560.4–90.6197.7181.4–211.7
204278.663.1–96.4198.3181.2–217
204380.161.4–96.9198.2182.3–215.3
204479.362.3–96.1199.2185.5–213.5
204582.265.9–98.5202187.1–216.8
204682.260.8–98.7204.1185.3–219.4
204783.963.8–101204.1187.4–220
204882.667.6–99.2206.1190.7–220
204985.366.9–101.9201.6187.7–216.2
205085.368.4–104.6205.7190.2–219.3
205184.366.5–103.5204.3188.8–222.1
205286.164.4–105.4203.8189.6–218
205384.165.5–106.1203.8186.3–218.8
205484.764.8–103.4207.6188.3–222.3
205587.769.1–104.2207.8190.8–221
205688.369.2–104.6203.7186.6–220.1
20578971.1–108.8207.5188.8–224.2
205887.368.2–106.5205.9189.2–221.4
205987.169.2–108.1207.3191.6–226.9
206090.873.5–108.9206.9192.7–222.8
20619274.9–111.9206.5190.4–220.9
206287.868.3–110.2208.1189.4–228.3
206395.174.5–114.4210.4193–227.1
206488.969.9–113.6207.5191.9–223.3
206591.270.6–112.5208.9193.9–226.1
206694.275.6–115.8210.3194.9–228
206791.273.1–113.3210.9193.1–228.6
206893.573.6–114.5209.8194.6–228.6
206995.873.9–113.3208.9194.5–226.3
20709677.9–115.5211.2191.2–229
207193.977.5–115.9215.1196.3–233.3
207295.974.8–115.6213.6195.3–229.3
207396.277.3–119.2213.7194.1–231.6
207497.377.3–117210.5191.9–229.3
207594.972.5–115.4212.1196.6–231.8
207697.575.2–117.6212.8194.8–230.3
207797.773.1–119.7215.1196.6–233.9
207898.678.4–118.2215.5197.6–230.7
207997.376.8–118.8213.6197–229
208097.374.3–117.5213.6197.1–233.9
208196.974.9–120.1214.7194.4–231.6
208298.678.3–115.8214198.9–230.9
2083101.378.9–120.3214.2198.5–238
208499.577.9–119.5217.4197.4–233.1
2085100.778.1–126.4217.4199.6–237.9
2086101.576.9–123.5217197.4–237.4
2087101.280.6–126.2217.3199.7–238.7
2088103.379–126216.1198.2–243.1
2089101.581.2–123217.6199.5–239
2090102.982.6–122.1217.3198.5–239.2
2091103.378.7–124.2218.5202.8–238.4
2092101.981.8–120.9218.5198.5–241.6
2093100.480.6–121.2216.6197.8–236.3
2094103.977.9–123.4218.8202–236.9
2095103.380.5–126219.4204.2–237.4
2096105.378.9–125.5219.9197.7–239.6
2097104.984–123.6216.7196.8–239.7
2098103.776.7–126.2219.7199.6–241.3
2099105.283.3–128.4216.8200.8–236.8
2100103.880.4–125.6218.7202.3–241

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

Morocco vs Saudi Arabia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment