Iran vs Morocco

Iran vs Morocco: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 31.2 nights, or 1.52 times that in Morocco.

nights a year · CMIP6

Iran vs Morocco: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 31.2 nights, or 1.52 times that in Morocco.
IranMoroccoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran 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 124.4 nights and Morocco at 103.8 nights in 2100.

Every year

nights a year · CMIP6

YearIranMorocco
201490.859.6
201390.660.7
201290.358.8
201189.858.4
20108756.7
200987.258.6
20088858.5
200787.954.8
200688.257.5
200587.156.9
200486.456.1
200385.954.6
200287.755.5
200186.656.4
200086.552.8
199985.153.6
199883.851.9
199784.351.2
199682.450.4
199581.648
199480.647.9
199377.744.6
19927740.6
199181.948.7
199083.152.5
198981.748.3
198880.448.8
198779.847.3
198680.143.6
198579.743.5
198478.843.6
198375.542.1
198277.943.7
198180.243.6
198079.442.9
197980.245.9
197878.144
197777.845
197677.240.1
197576.642.5
197476.442
197376.943.5
197277.442.2
19717540.7
197075.341.3
196975.640.7
196876.342
196776.141.1
196675.540.5
196575.339.4
196475.342.5
196376.441.7
196277.543.1
196177.742.7
196077.643
195976.843.3
195878.442.7
195778.242
195676.243.8
195576.545.5
195477.642.3
195377.342.8
195278.243.8
195176.644.1
195077.745.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranMorocco
201594.482.7–10662.147.1–77
201694.183.1–105.362.747.4–77.9
201793.981.7–10463.749–78.1
201894.183–106.364.449.6–80.6
201995.183.4–105.867.950.6–82.7
202095.985.5–107.565.649.2–82
202197.286–107.766.351–84.5
202296.285.2–108.370.554.8–87.8
202398.485.7–110.667.653.2–82.4
20249885.1–110.570.456.5–85.5
202598.787.2–110.568.652.1–87
202699.186.7–111.768.754.7–84.2
2027100.288.7–112.172.957.6–88.1
202899.686.2–111.673.253.6–89.6
202999.386.7–109.970.754.6–90.5
2030100.889.8–111.671.453.4–86
2031102.990.1–114.873.354.3–89.9
2032101.289–113.974.160–88.7
2033102.889.9–115.173.857.6–88.9
2034104.690.7–117.377.761–94.3
203510592.1–116.275.857.8–92.8
2036103.591.4–115.275.660.5–91.7
203710693.1–119.476.458–94.8
2038105.993.2–116.577.962.2–97.3
2039104.392.9–116.678.262.7–94.7
2040105.592.3–118.473.957.1–97.5
2041104.892.5–116.476.560.4–90.6
2042107.793.4–120.778.663.1–96.4
204310692.9–118.880.161.4–96.9
2044106.893.6–121.279.362.3–96.1
2045108.795.1–121.882.265.9–98.5
2046109.296.1–121.982.260.8–98.7
2047110.596.9–123.383.963.8–101
2048111.498.6–12482.667.6–99.2
204911095.7–123.485.366.9–101.9
2050112.199.6–125.185.368.4–104.6
2051111.797.6–124.184.366.5–103.5
205211298.3–12686.164.4–105.4
2053111.597.5–12484.165.5–106.1
2054111.899–126.384.764.8–103.4
2055114.6101.4–12887.769.1–104.2
2056113.1100.2–126.288.369.2–104.6
2057113.899.9–128.98971.1–108.8
2058114.2100–127.787.368.2–106.5
2059113.498.9–126.387.169.2–108.1
2060116.3100.3–129.590.873.5–108.9
2061115100.5–127.69274.9–111.9
2062115.799.7–131.187.868.3–110.2
2063117103.7–130.395.174.5–114.4
2064115.1101.7–130.388.969.9–113.6
2065117.3102.8–132.391.270.6–112.5
2066117.7103.7–132.194.275.6–115.8
2067119103–133.591.273.1–113.3
2068118.1104.3–131.493.573.6–114.5
2069118.4103.8–133.295.873.9–113.3
2070118.2104.9–132.99677.9–115.5
2071119.3105.1–135.393.977.5–115.9
2072119103.2–135.195.974.8–115.6
2073120.6104.9–137.796.277.3–119.2
2074119.1104.4–134.597.377.3–117
2075119.7105.9–135.594.972.5–115.4
2076118.9102.6–13797.575.2–117.6
2077120.3104.3–135.397.773.1–119.7
2078119.2105.3–13698.678.4–118.2
2079120.1103.2–135.697.376.8–118.8
2080120.4106.1–139.597.374.3–117.5
2081120.5104.3–137.196.974.9–120.1
2082122.5107.5–137.798.678.3–115.8
2083122.6105.8–140.4101.378.9–120.3
2084123.7107.6–139.199.577.9–119.5
2085121.3106.6–140.6100.778.1–126.4
2086122.1107.9–139.8101.576.9–123.5
2087123.7108–140.7101.280.6–126.2
2088124106.5–142.2103.379–126
2089124.1109–139.7101.581.2–123
2090122.5105.4–141.9102.982.6–122.1
2091124.3108–140.5103.378.7–124.2
2092125.5110.1–140101.981.8–120.9
2093124.5109–139.3100.480.6–121.2
2094125108.7–142.9103.977.9–123.4
2095125.3108.5–141103.380.5–126
2096125.8109–142.4105.378.9–125.5
2097123.6106.9–141.8104.984–123.6
2098125.8109.4–143.8103.776.7–126.2
2099123.1107.8–140.1105.283.3–128.4
2100124.4107.9–143.7103.880.4–125.6

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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