Egypt vs Morocco

Egypt vs Morocco: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 85.4 nights, or 2.43 times that in Morocco.

nights a year · CMIP6

Egypt vs Morocco: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 85.4 nights, or 2.43 times that in Morocco.
EgyptMoroccoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Egypt at 183.4 nights and Morocco at 103.8 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptMorocco
201414559.6
201314560.7
2012145.158.8
2011144.758.4
2010143.556.7
2009140.258.6
2008142.658.5
2007140.554.8
2006139.657.5
200514056.9
2004141.356.1
200314154.6
2002137.755.5
200113956.4
2000134.852.8
1999135.553.6
199813351.9
199713451.2
1996132.150.4
1995130.248
1994129.847.9
1993123.644.6
1992126.140.6
1991129.748.7
1990129.752.5
198912648.3
1988124.348.8
1987125.847.3
1986128.943.6
1985125.743.5
1984119.443.6
1983119.442.1
1982120.743.7
1981122.643.6
1980124.942.9
1979119.245.9
1978122.644
1977121.345
1976123.240.1
1975121.942.5
1974123.142
1973123.543.5
1972120.142.2
1971120.740.7
1970119.741.3
1969118.340.7
1968119.442
1967116.241.1
1966116.140.5
1965112.939.4
1964116.442.5
1963120.241.7
1962118.943.1
1961118.742.7
1960123.643
1959123.243.3
1958120.742.7
1957122.442
1956122.743.8
1955119.445.5
1954120.842.3
1953121.342.8
1952120.743.8
1951121.244.1
1950118.845.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptMorocco
2015149.6131.4–164.262.147.1–77
2016147.7133.5–160.262.747.4–77.9
2017150.8134.8–163.263.749–78.1
2018147.4133.4–165.664.449.6–80.6
2019149.6132.7–16467.950.6–82.7
2020150.8136.4–164.765.649.2–82
2021152.1137.8–168.166.351–84.5
2022154138.1–170.670.554.8–87.8
2023154.4139–168.467.653.2–82.4
2024155.8141.7–168.570.456.5–85.5
2025154.5139.6–168.168.652.1–87
2026155.1144.5–165.968.754.7–84.2
2027154.2139.5–166.372.957.6–88.1
2028154.5141.8–168.673.253.6–89.6
2029156.3139.9–169.570.754.6–90.5
2030156.3143.1–169.171.453.4–86
2031155.5141.5–171.273.354.3–89.9
2032158.3144.6–170.474.160–88.7
2033159.9143.8–172.973.857.6–88.9
2034159.8144.9–173.277.761–94.3
2035163.5146.6–175.875.857.8–92.8
2036156.2143.7–170.675.660.5–91.7
2037158.8142.9–173.876.458–94.8
2038164.9146.1–177.877.962.2–97.3
2039161.8146.1–180.178.262.7–94.7
2040161.6147.9–176.573.957.1–97.5
2041163.7149.4–177.376.560.4–90.6
2042166.5149.7–180.678.663.1–96.4
2043163.6150.3–176.880.161.4–96.9
2044162.2147–17879.362.3–96.1
2045167.2152.5–18182.265.9–98.5
2046166149–181.182.260.8–98.7
2047165.9151.8–181.583.963.8–101
2048167.2154.5–180.182.667.6–99.2
2049165.3148.7–177.985.366.9–101.9
2050170152.8–18385.368.4–104.6
2051165.6152.7–179.584.366.5–103.5
2052167.3156–180.286.164.4–105.4
2053170.1153.6–183.884.165.5–106.1
2054169153.3–18384.764.8–103.4
2055170.5153.5–183.387.769.1–104.2
2056168.3151.2–181.488.369.2–104.6
2057166.8150.7–185.38971.1–108.8
2058171.8154.2–188.287.368.2–106.5
2059173.3157.8–188.687.169.2–108.1
2060170.5154.8–189.390.873.5–108.9
2061170.3155.1–184.69274.9–111.9
2062172.1155.2–185.787.868.3–110.2
2063169.7152.8–182.695.174.5–114.4
2064172.3155.9–187.288.969.9–113.6
2065173.3159.7–189.991.270.6–112.5
2066170155–187.794.275.6–115.8
2067176.2161.5–19091.273.1–113.3
2068174.6157.3–193.193.573.6–114.5
2069175.8158.8–191.795.873.9–113.3
2070173.3158.3–191.79677.9–115.5
2071176.8158.1–194.793.977.5–115.9
2072177.6160.8–192.195.974.8–115.6
2073176159.2–189.396.277.3–119.2
2074171.9156.5–194.197.377.3–117
2075171.8157–191.994.972.5–115.4
2076177161–194.697.575.2–117.6
2077179.7157–194.197.773.1–119.7
2078178.4161–19598.678.4–118.2
2079178.2160.2–193.797.376.8–118.8
2080178.5163–193.397.374.3–117.5
2081177.2160–192.896.974.9–120.1
2082178.8164.5–193.398.678.3–115.8
2083180.6164.4–195.7101.378.9–120.3
2084181.4162.4–197.899.577.9–119.5
2085178.8163–196.7100.778.1–126.4
2086181.9166.6–198.8101.576.9–123.5
2087178156.4–194.3101.280.6–126.2
2088177.8163.5–196103.379–126
2089180.9163.5–198.9101.581.2–123
2090179.9162.4–197.8102.982.6–122.1
2091184.2165.1–198.9103.378.7–124.2
2092180.3162.9–196.3101.981.8–120.9
2093181.1166.1–198.2100.480.6–121.2
2094185.4168–198.9103.977.9–123.4
2095181.9165.5–197.3103.380.5–126
2096183.1163.5–200.3105.378.9–125.5
2097181.5165.4–198.9104.984–123.6
2098181.7162.1–198.8103.776.7–126.2
2099179.9164.2–197.8105.283.3–128.4
2100183.4162.9–198.1103.880.4–125.6

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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