Iraq vs Morocco

Iraq vs Morocco: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 91.8 nights, or 2.54 times that in Morocco.

nights a year · CMIP6

Iraq vs Morocco: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 91.8 nights, or 2.54 times that in Morocco.
IraqMoroccoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iraq at 178.7 nights and Morocco at 103.8 nights in 2100.

Every year

nights a year · CMIP6

YearIraqMorocco
2014151.459.6
2013151.360.7
2012150.958.8
2011150.758.4
2010147.556.7
2009146.158.6
2008149.958.5
200714854.8
2006146.957.5
2005147.756.9
2004147.356.1
2003145.454.6
2002147.255.5
2001146.656.4
200014852.8
1999143.653.6
1998142.651.9
1997144.551.2
1996143.750.4
1995139.148
1994141.647.9
1993136.644.6
1992136.640.6
1991138.148.7
1990142.752.5
1989141.648.3
1988138.248.8
1987138.947.3
1986140.943.6
1985137.643.5
1984135.543.6
198313542.1
1982135.843.7
1981140.343.6
1980139.442.9
1979136.445.9
1978136.844
1977137.745
1976138.240.1
1975134.142.5
1974135.842
1973136.143.5
1972135.842.2
1971133.740.7
1970135.541.3
1969135.540.7
1968134.342
1967133.641.1
1966132.940.5
1965132.939.4
1964134.242.5
1963135.141.7
1962137.743.1
1961138.242.7
1960136.743
195913943.3
1958138.442.7
1957137.342
1956136.643.8
1955134.745.5
1954136.142.3
195313742.8
1952136.743.8
1951137.344.1
1950134.945.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqMorocco
2015154.9143.1–165.862.147.1–77
2016152.1139.6–164.562.747.4–77.9
2017154.1139.5–165.663.749–78.1
2018153.8142.3–16564.449.6–80.6
2019153.3141–166.967.950.6–82.7
2020155.1144.8–16665.649.2–82
2021155.8144.5–166.566.351–84.5
2022155.9144.3–16870.554.8–87.8
2023157.1146.3–168.567.653.2–82.4
2024155.9145.1–167.770.456.5–85.5
2025156.8145.6–168.868.652.1–87
2026158.1147.1–168.268.754.7–84.2
2027159.5148.6–169.872.957.6–88.1
2028157.5145.7–169.473.253.6–89.6
2029158.5149.2–167.670.754.6–90.5
2030157.9147.4–169.771.453.4–86
2031160.1146.9–171.373.354.3–89.9
2032160146.9–170.674.160–88.7
2033161.6151.5–17273.857.6–88.9
2034161148.9–173.977.761–94.3
2035161.8150.3–173.675.857.8–92.8
2036158.5146.3–170.675.660.5–91.7
2037161.2148.6–173.576.458–94.8
2038165.1152.5–174.777.962.2–97.3
2039164.6152.2–177.778.262.7–94.7
2040165153.4–175.373.957.1–97.5
2041163.3151.3–172.576.560.4–90.6
2042165.3153–176.878.663.1–96.4
2043164.6151.4–175.380.161.4–96.9
2044164.6155.1–175.279.362.3–96.1
2045167.8152.2–180.182.265.9–98.5
2046167.6155–178.882.260.8–98.7
2047167.1156.3–177.383.963.8–101
2048165.8155.5–179.182.667.6–99.2
2049165.6155.1–177.485.366.9–101.9
2050170.8156.9–181.985.368.4–104.6
2051168.8155.6–181.184.366.5–103.5
2052167.8154.5–180.486.164.4–105.4
2053168.5155.9–181.184.165.5–106.1
2054170.4155.7–181.484.764.8–103.4
2055171.2158.7–181.887.769.1–104.2
2056168152.6–178.688.369.2–104.6
2057169.2153.3–186.38971.1–108.8
2058170.7157.1–185.587.368.2–106.5
2059169.8157–187.587.169.2–108.1
2060169.5157.6–185.790.873.5–108.9
2061170.2157.8–180.79274.9–111.9
2062171.2158.1–18387.868.3–110.2
2063170.6156.5–183.695.174.5–114.4
2064170159.8–182.888.969.9–113.6
2065171.7160.9–185.391.270.6–112.5
2066172.4158.6–184.594.275.6–115.8
2067173.9161.8–187.691.273.1–113.3
2068172.6159.5–18593.573.6–114.5
2069174.3160.8–186.295.873.9–113.3
2070175.4162.3–186.79677.9–115.5
2071176.1161.2–188.993.977.5–115.9
2072174.1161.5–187.395.974.8–115.6
2073176.1159.9–190.696.277.3–119.2
2074173.5157.8–18797.377.3–117
2075171.3158.5–186.494.972.5–115.4
2076173.1158.7–186.397.575.2–117.6
2077176.7160.9–189.897.773.1–119.7
2078176.2163.1–188.298.678.4–118.2
2079175.2160.1–18897.376.8–118.8
2080172.9160.7–190.197.374.3–117.5
2081175.5161.6–189.996.974.9–120.1
2082176.9162.8–188.298.678.3–115.8
2083179.2161.9–191.4101.378.9–120.3
2084179.7164.5–19199.577.9–119.5
2085177.9162.3–190.8100.778.1–126.4
2086178.4166.1–189.5101.576.9–123.5
2087178.1161.8–194.1101.280.6–126.2
2088178.1163.4–194.1103.379–126
2089177.5162.8–192.6101.581.2–123
2090176.1163.1–191.9102.982.6–122.1
2091178.7163.4–192.6103.378.7–124.2
2092179.2164.9–191.4101.981.8–120.9
2093179.3165.6–193.8100.480.6–121.2
2094181.3169.4–192.9103.977.9–123.4
2095181.2166.6–193.1103.380.5–126
2096179.2163.8–193.2105.378.9–125.5
2097180.7162.7–194.4104.984–123.6
2098178.4163.1–199103.776.7–126.2
2099178.9166.7–191.9105.283.3–128.4
2100178.7165.8–191.9103.880.4–125.6

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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