Morocco vs Tunisia

Morocco vs Tunisia: Tropical nights

Tropical nights in 2014: 59.6 nights in Morocco and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tunisia, by 50.9 nights, or 1.85 times that in Morocco.

nights a year · CMIP6

Morocco vs Tunisia: Tropical nightsTropical nights in 2014: 59.6 nights in Morocco and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tunisia, by 50.9 nights, or 1.85 times that in Morocco.
MoroccoTunisiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tunisia 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 Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearMoroccoTunisia
201459.6110.5
201360.7110.7
201258.8110
201158.4108.9
201056.7109.6
200958.6106.1
200858.5108.6
200754.8106.6
200657.5107.6
200556.9105.6
200456.1105
200354.6105.5
200255.5103.8
200156.4101.8
200052.8104.5
199953.6100.1
199851.9100.1
199751.2100.1
199650.499.1
19954895.9
199447.995
199344.691.3
199240.689.9
199148.798.2
199052.598.6
198948.394.7
198848.894.2
198747.392.7
198643.693.7
198543.590.6
198443.691.8
198342.190
198243.793.9
198143.693.3
198042.992.5
197945.993.8
19784490.2
19774588.3
197640.190.5
197542.588.6
19744288.3
197343.590.5
197242.291
197140.788.8
197041.387.3
196940.790.1
19684288.9
196741.187.6
196640.587.5
196539.484.5
196442.585.7
196341.788
196243.192.7
196142.788.3
19604390.7
195943.392.2
195842.791.8
19574292.3
195643.890
195545.592.7
195442.389.9
195342.889.4
195243.891.8
195144.191.6
195045.189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMoroccoTunisia
201562.147.1–77110.796.9–126.1
201662.747.4–77.9111.596.6–130.1
201763.749–78.1116.5102.4–131.8
201864.449.6–80.6115.999.4–131.9
201967.950.6–82.7116.598.5–129.5
202065.649.2–82113.899.9–130.1
202166.351–84.5117.4104.1–129.3
202270.554.8–87.8119.7103–137.3
202367.653.2–82.4118.7102.2–131.9
202470.456.5–85.5121107.5–132.6
202568.652.1–87120.2100–134
202668.754.7–84.2122.1110.1–134.5
202772.957.6–88.1119103.6–134.1
202873.253.6–89.6121.1104.5–135.4
202970.754.6–90.5121.5110.2–135.8
203071.453.4–86121.6104–133.4
203173.354.3–89.9121.8105.7–134.9
203274.160–88.7125.2111.6–138.9
203373.857.6–88.9124.7107.6–137.5
203477.761–94.3124.6107–141.7
203575.857.8–92.8126.3115.5–142.6
203675.660.5–91.7126112.5–141.9
203776.458–94.8126.5110–140
203877.962.2–97.3126.2111.1–139.1
203978.262.7–94.7127112.5–142.3
204073.957.1–97.5127.5112.8–144.3
204176.560.4–90.6125.5109.1–140.4
204278.663.1–96.4129.9114.8–145.8
204380.161.4–96.9129.1111.6–142
204479.362.3–96.1127.1112.8–141.8
204582.265.9–98.5128.5113.8–140.8
204682.260.8–98.7128.3109.9–144
204783.963.8–101131.2113.6–147.5
204882.667.6–99.2129.9114.9–142.3
204985.366.9–101.9130115.4–143.5
205085.368.4–104.6132.3117.6–147.6
205184.366.5–103.5130.1112.6–148.6
205286.164.4–105.4132.7116.8–146.7
205384.165.5–106.1132.5119.5–149.8
205484.764.8–103.4135.2118.4–148.8
205587.769.1–104.2135.1119.2–151.6
205688.369.2–104.6134.8119.6–149.5
20578971.1–108.8131.9118.5–148.6
205887.368.2–106.5137.8122.5–156.5
205987.169.2–108.1134.9117.1–152.5
206090.873.5–108.9136.2120.5–150.1
20619274.9–111.9139119.4–154
206287.868.3–110.2134.9119.1–155.9
206395.174.5–114.4138.6119.2–152.5
206488.969.9–113.6134.9121.1–152.7
206591.270.6–112.5137.1123.3–150.5
206694.275.6–115.8136.6119.2–155.1
206791.273.1–113.3138.9124.4–154.3
206893.573.6–114.5141.7124.8–159.2
206995.873.9–113.3140.3123.5–154.1
20709677.9–115.5137123.6–155.3
207193.977.5–115.9140.5123.1–156.1
207295.974.8–115.6142.6128–154.3
207396.277.3–119.2139.3124.7–154.6
207497.377.3–117140.1123–156.5
207594.972.5–115.4139.6124.5–157.1
207697.575.2–117.6143.4125.2–158.8
207797.773.1–119.7141.3119.1–158.3
207898.678.4–118.2143127.2–155.9
207997.376.8–118.8144.7123.9–158.5
208097.374.3–117.5143.6123.6–158.7
208196.974.9–120.1139.9126.3–158.8
208298.678.3–115.8145.5125.9–158.1
2083101.378.9–120.3143.4124.3–158.7
208499.577.9–119.5144.8129.6–159.7
2085100.778.1–126.4145.3124.7–159.5
2086101.576.9–123.5144.7129.5–162.7
2087101.280.6–126.2144125.7–159.2
2088103.379–126147.3127.2–165.4
2089101.581.2–123142.7125.3–164.8
2090102.982.6–122.1145.2126.3–165.1
2091103.378.7–124.2144.9127.4–164.4
2092101.981.8–120.9148.2126.3–161.1
2093100.480.6–121.2146.9127.2–165.6
2094103.977.9–123.4145.7126.8–160.4
2095103.380.5–126145.5125.4–161.5
2096105.378.9–125.5146.3130–169.4
2097104.984–123.6144.6125.7–160.6
2098103.776.7–126.2147129.6–161.9
2099105.283.3–128.4145.8130.3–163.7
2100103.880.4–125.6143.8124.8–163.8

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 Tunisia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment