Egypt vs Syria

Egypt vs Syria: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 55.4 nights, or 1.62 times that in Syria.

nights a year · CMIP6

Egypt vs Syria: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 55.4 nights, or 1.62 times that in Syria.
EgyptSyriaCMIP6 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 Syria at 133.8 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptSyria
201414589.6
201314590.8
2012145.191.2
2011144.789.6
2010143.588.1
2009140.286.2
2008142.687.9
2007140.585
2006139.687.3
200514085.3
2004141.386.7
200314186.7
2002137.784.3
200113985.9
2000134.883.2
1999135.582.1
199813380.5
199713480.5
1996132.178.1
1995130.275.8
1994129.876.7
1993123.671.5
1992126.171.3
1991129.775.5
1990129.779.3
198912675.7
1988124.376.2
1987125.873
1986128.976
1985125.772.6
1984119.469.6
1983119.467.9
1982120.772
1981122.672
1980124.975
1979119.267.7
1978122.670.2
1977121.370.1
1976123.273.4
1975121.969
1974123.170
1973123.570.7
1972120.170.1
1971120.770.7
1970119.770.9
1969118.371.3
1968119.468.7
1967116.268.8
1966116.168.8
1965112.964.3
1964116.466.4
1963120.269.1
1962118.971.5
1961118.770.8
1960123.671.7
1959123.272.7
1958120.772.8
1957122.472.6
1956122.772.2
1955119.470.3
1954120.868.9
1953121.372.2
1952120.770.8
1951121.272.4
1950118.868.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptSyria
2015149.6131.4–164.296.981.9–110.9
2016147.7133.5–160.293.581.2–108.2
2017150.8134.8–163.29782.1–109.5
2018147.4133.4–165.697.785.9–111
2019149.6132.7–16498.983.7–111.2
2020150.8136.4–164.798.683.7–112.6
2021152.1137.8–168.110087.1–110.7
2022154138.1–170.6101.684.9–113.2
2023154.4139–168.4101.988.3–115.3
2024155.8141.7–168.5102.790.7–113.8
2025154.5139.6–168.1102.988.6–114.2
2026155.1144.5–165.9103.389.5–116.1
2027154.2139.5–166.3103.886.7–116.5
2028154.5141.8–168.6103.589.2–116.4
2029156.3139.9–169.5105.694–116.3
2030156.3143.1–169.1105.991.3–119.2
2031155.5141.5–171.2105.190.7–116
2032158.3144.6–170.4107.893.2–119.4
2033159.9143.8–172.9108.796.6–119.1
2034159.8144.9–173.2107.593.9–119
2035163.5146.6–175.8108.596.3–118.3
2036156.2143.7–170.6105.793.2–118.7
2037158.8142.9–173.8109.294.8–121.9
2038164.9146.1–177.8111.897.8–125.5
2039161.8146.1–180.1112.398.9–128
2040161.6147.9–176.5111.898.5–127.5
2041163.7149.4–177.3110.799.1–124.5
2042166.5149.7–180.6112.996.4–126.5
2043163.6150.3–176.8113.199.7–127.3
2044162.2147–178112.599.8–128.8
2045167.2152.5–181118.4105.5–131.3
2046166149–181.1117.2104.7–129
2047165.9151.8–181.5114.9100.6–129.1
2048167.2154.5–180.1114.3101.2–130.8
2049165.3148.7–177.911499.3–128.9
2050170152.8–183116.8104.6–132.7
2051165.6152.7–179.5117.7105.5–129
2052167.3156–180.2116.2103.9–128.2
2053170.1153.6–183.8119.1105.2–131.3
2054169153.3–183119.7102.7–135.5
2055170.5153.5–183.3120.8104.3–134.2
2056168.3151.2–181.4119.799.9–132.9
2057166.8150.7–185.3120.6102.3–137.1
2058171.8154.2–188.2120.1103.1–136.5
2059173.3157.8–188.6123.5107.4–137.2
2060170.5154.8–189.3119.6106.4–140.3
2061170.3155.1–184.6122.8103.9–136.1
2062172.1155.2–185.7121.8104.3–136.5
2063169.7152.8–182.6122.1106.2–136.7
2064172.3155.9–187.2124.3108.4–136.6
2065173.3159.7–189.9123.7108.9–138.7
2066170155–187.7122.1104.4–136.2
2067176.2161.5–190126111.1–142.7
2068174.6157.3–193.1126.8112.1–140.3
2069175.8158.8–191.7123107.9–137.3
2070173.3158.3–191.7126.5110.3–139.4
2071176.8158.1–194.7126109.5–142.8
2072177.6160.8–192.1128111.8–141.9
2073176159.2–189.3127.6108–143.7
2074171.9156.5–194.1124.2107–139.7
2075171.8157–191.9124.7109.2–140.6
2076177161–194.6126.6109.8–140.8
2077179.7157–194.1127.5109–143.3
2078178.4161–195127.2113.3–141.8
2079178.2160.2–193.7132.9116–146.9
2080178.5163–193.3129111.8–144.3
2081177.2160–192.8127.6112.5–145.6
2082178.8164.5–193.3129.1111.3–143.8
2083180.6164.4–195.7133.2110.3–144.1
2084181.4162.4–197.8132.2111–145.1
2085178.8163–196.7130.9112.7–143.3
2086181.9166.6–198.8130.9112.6–146.5
2087178156.4–194.3129.6109.8–148.7
2088177.8163.5–196132.5116.9–146.5
2089180.9163.5–198.9130.4115.3–148.4
2090179.9162.4–197.8128.9115–145.8
2091184.2165.1–198.9133.4116–150.3
2092180.3162.9–196.3131.6115.3–149
2093181.1166.1–198.2135119.8–151
2094185.4168–198.9134118–148.5
2095181.9165.5–197.3134.3117.3–148.9
2096183.1163.5–200.3131.5113.7–148.7
2097181.5165.4–198.9136.2112.7–154.1
2098181.7162.1–198.8131.5115.2–152.2
2099179.9164.2–197.8132.8116–145.1
2100183.4162.9–198.1133.8113.2–152.2

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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