Morocco vs United Arab Emirates

Morocco vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 59.6 nights in Morocco and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 155.6 nights, or 3.61 times that in Morocco.

nights a year · CMIP6

Morocco vs United Arab Emirates: Tropical nightsTropical nights in 2014: 59.6 nights in Morocco and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 155.6 nights, or 3.61 times that in Morocco.
MoroccoUnited 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 Morocco at 103.8 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearMoroccoUnited Arab Emirates
201459.6215.2
201360.7215.5
201258.8219.6
201158.4218
201056.7213.7
200958.6212
200858.5214.8
200754.8215.8
200657.5215.4
200556.9212.2
200456.1212.4
200354.6213.4
200255.5211.6
200156.4211.6
200052.8212.5
199953.6211.7
199851.9209.4
199751.2210.8
199650.4207.8
199548206.6
199447.9206.8
199344.6204.2
199240.6204.3
199148.7206.7
199052.5208.5
198948.3205.9
198848.8204
198747.3203.6
198643.6206.2
198543.5204.1
198443.6202.6
198342.1200.4
198243.7203.2
198143.6205.1
198042.9202.8
197945.9203.2
197844201.5
197745202.2
197640.1202.3
197542.5199.3
197442202
197343.5200.9
197242.2199.4
197140.7197
197041.3201.3
196940.7199.8
196842202.3
196741.1197.7
196640.5198
196539.4200.5
196442.5199.6
196341.7197.9
196243.1201.1
196142.7200.6
196043204.3
195943.3202.6
195842.7202.7
195742203.2
195643.8202.6
195545.5201
195442.3200.2
195342.8200
195243.8200.2
195144.1198.9
195045.1201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMoroccoUnited Arab Emirates
201562.147.1–77221.6206.4–232
201662.747.4–77.9218.7207.6–229.7
201763.749–78.1218.3203.9–232.7
201864.449.6–80.6221.4209.2–237.6
201967.950.6–82.7218.7202.8–232.2
202065.649.2–82221.7206.9–233.5
202166.351–84.5224.6210.5–236.3
202270.554.8–87.8225.3206.9–235.7
202367.653.2–82.4225209.1–236.4
202470.456.5–85.5223.8205.2–240
202568.652.1–87226.3210.1–245
202668.754.7–84.2227.7214.2–244.9
202772.957.6–88.1227.6208.2–241.5
202873.253.6–89.6229.9210.9–241.3
202970.754.6–90.5225.1211–240
203071.453.4–86227.6216.2–240.9
203173.354.3–89.9229.3215.4–238.4
203274.160–88.7225.5211.9–240.5
203373.857.6–88.9224.2211.4–241.3
203477.761–94.3230.4213–245
203575.857.8–92.8231.6214.2–246.5
203675.660.5–91.7230217.2–247.1
203776.458–94.8232.6220.2–244.5
203877.962.2–97.3233.6213.5–248.4
203978.262.7–94.7231.4218.1–245.6
204073.957.1–97.5232.5214–246.4
204176.560.4–90.6230.4214.9–244.7
204278.663.1–96.4232.6213.3–249.6
204380.161.4–96.9233.9220.3–250.1
204479.362.3–96.1236.3223.3–250
204582.265.9–98.5236217.2–252
204682.260.8–98.7237.5219.3–255
204783.963.8–101240.9222.1–253
204882.667.6–99.2241.8226.1–256.9
204985.366.9–101.9233.7215.7–249.4
205085.368.4–104.6240.1226.8–250.9
205184.366.5–103.5240.9227.2–254.5
205286.164.4–105.4239.2228.3–256.1
205384.165.5–106.1241.4221.7–257.4
205484.764.8–103.4241.3223.5–256.1
205587.769.1–104.2240.5223.3–259.3
205688.369.2–104.6239.3220.5–258.9
20578971.1–108.8242.2226.6–260.2
205887.368.2–106.5238.9224.7–255.4
205987.169.2–108.1244.2226.6–262.6
206090.873.5–108.9241227.4–255.2
20619274.9–111.9239.9227.9–253.1
206287.868.3–110.2243.2227.3–264.4
206395.174.5–114.4245.3229.1–264.6
206488.969.9–113.6241.1225.2–258.6
206591.270.6–112.5244.3225.3–260.5
206694.275.6–115.8246230.8–261.7
206791.273.1–113.3245.4223–265.8
206893.573.6–114.5245.4232.6–266.7
206995.873.9–113.3244.6227.4–262.2
20709677.9–115.5248.1225.9–266.5
207193.977.5–115.9248.6231–266
207295.974.8–115.6247.9230.2–267
207396.277.3–119.2247.9227.6–261.8
207497.377.3–117247.5227.3–270.8
207594.972.5–115.4251.8234.3–269.8
207697.575.2–117.6247.5228.7–266.1
207797.773.1–119.7252.9233.3–269.1
207898.678.4–118.2249.9234.1–264.7
207997.376.8–118.8247.6227.4–265.8
208097.374.3–117.5248232–267.9
208196.974.9–120.1250.7231–267.6
208298.678.3–115.8248.9235.3–266.8
2083101.378.9–120.3248.6234.2–273.1
208499.577.9–119.5248.9228.9–268.2
2085100.778.1–126.4253236.8–270.7
2086101.576.9–123.5253.4234.9–273.3
2087101.280.6–126.2252.9236.9–274.1
2088103.379–126252.1231.1–276.1
2089101.581.2–123253.4234.1–271.9
2090102.982.6–122.1251.9236.4–274.5
2091103.378.7–124.2254.8240.7–274.4
2092101.981.8–120.9254.6232.1–275.1
2093100.480.6–121.2250.9233.5–268.9
2094103.977.9–123.4251.6236.6–270.8
2095103.380.5–126252.4238.2–272
2096105.378.9–125.5254.6236–272.6
2097104.984–123.6251.4227.8–278
2098103.776.7–126.2257.8237.5–278.8
2099105.283.3–128.4252.5233.5–276.1
2100103.880.4–125.6252236.2–276

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

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