Egypt vs Iran

Egypt vs Iran: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 54.2 nights, or 1.6 times that in Iran.

nights a year · CMIP6

Egypt vs Iran: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 54.2 nights, or 1.6 times that in Iran.
EgyptIranCMIP6 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 Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptIran
201414590.8
201314590.6
2012145.190.3
2011144.789.8
2010143.587
2009140.287.2
2008142.688
2007140.587.9
2006139.688.2
200514087.1
2004141.386.4
200314185.9
2002137.787.7
200113986.6
2000134.886.5
1999135.585.1
199813383.8
199713484.3
1996132.182.4
1995130.281.6
1994129.880.6
1993123.677.7
1992126.177
1991129.781.9
1990129.783.1
198912681.7
1988124.380.4
1987125.879.8
1986128.980.1
1985125.779.7
1984119.478.8
1983119.475.5
1982120.777.9
1981122.680.2
1980124.979.4
1979119.280.2
1978122.678.1
1977121.377.8
1976123.277.2
1975121.976.6
1974123.176.4
1973123.576.9
1972120.177.4
1971120.775
1970119.775.3
1969118.375.6
1968119.476.3
1967116.276.1
1966116.175.5
1965112.975.3
1964116.475.3
1963120.276.4
1962118.977.5
1961118.777.7
1960123.677.6
1959123.276.8
1958120.778.4
1957122.478.2
1956122.776.2
1955119.476.5
1954120.877.6
1953121.377.3
1952120.778.2
1951121.276.6
1950118.877.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptIran
2015149.6131.4–164.294.482.7–106
2016147.7133.5–160.294.183.1–105.3
2017150.8134.8–163.293.981.7–104
2018147.4133.4–165.694.183–106.3
2019149.6132.7–16495.183.4–105.8
2020150.8136.4–164.795.985.5–107.5
2021152.1137.8–168.197.286–107.7
2022154138.1–170.696.285.2–108.3
2023154.4139–168.498.485.7–110.6
2024155.8141.7–168.59885.1–110.5
2025154.5139.6–168.198.787.2–110.5
2026155.1144.5–165.999.186.7–111.7
2027154.2139.5–166.3100.288.7–112.1
2028154.5141.8–168.699.686.2–111.6
2029156.3139.9–169.599.386.7–109.9
2030156.3143.1–169.1100.889.8–111.6
2031155.5141.5–171.2102.990.1–114.8
2032158.3144.6–170.4101.289–113.9
2033159.9143.8–172.9102.889.9–115.1
2034159.8144.9–173.2104.690.7–117.3
2035163.5146.6–175.810592.1–116.2
2036156.2143.7–170.6103.591.4–115.2
2037158.8142.9–173.810693.1–119.4
2038164.9146.1–177.8105.993.2–116.5
2039161.8146.1–180.1104.392.9–116.6
2040161.6147.9–176.5105.592.3–118.4
2041163.7149.4–177.3104.892.5–116.4
2042166.5149.7–180.6107.793.4–120.7
2043163.6150.3–176.810692.9–118.8
2044162.2147–178106.893.6–121.2
2045167.2152.5–181108.795.1–121.8
2046166149–181.1109.296.1–121.9
2047165.9151.8–181.5110.596.9–123.3
2048167.2154.5–180.1111.498.6–124
2049165.3148.7–177.911095.7–123.4
2050170152.8–183112.199.6–125.1
2051165.6152.7–179.5111.797.6–124.1
2052167.3156–180.211298.3–126
2053170.1153.6–183.8111.597.5–124
2054169153.3–183111.899–126.3
2055170.5153.5–183.3114.6101.4–128
2056168.3151.2–181.4113.1100.2–126.2
2057166.8150.7–185.3113.899.9–128.9
2058171.8154.2–188.2114.2100–127.7
2059173.3157.8–188.6113.498.9–126.3
2060170.5154.8–189.3116.3100.3–129.5
2061170.3155.1–184.6115100.5–127.6
2062172.1155.2–185.7115.799.7–131.1
2063169.7152.8–182.6117103.7–130.3
2064172.3155.9–187.2115.1101.7–130.3
2065173.3159.7–189.9117.3102.8–132.3
2066170155–187.7117.7103.7–132.1
2067176.2161.5–190119103–133.5
2068174.6157.3–193.1118.1104.3–131.4
2069175.8158.8–191.7118.4103.8–133.2
2070173.3158.3–191.7118.2104.9–132.9
2071176.8158.1–194.7119.3105.1–135.3
2072177.6160.8–192.1119103.2–135.1
2073176159.2–189.3120.6104.9–137.7
2074171.9156.5–194.1119.1104.4–134.5
2075171.8157–191.9119.7105.9–135.5
2076177161–194.6118.9102.6–137
2077179.7157–194.1120.3104.3–135.3
2078178.4161–195119.2105.3–136
2079178.2160.2–193.7120.1103.2–135.6
2080178.5163–193.3120.4106.1–139.5
2081177.2160–192.8120.5104.3–137.1
2082178.8164.5–193.3122.5107.5–137.7
2083180.6164.4–195.7122.6105.8–140.4
2084181.4162.4–197.8123.7107.6–139.1
2085178.8163–196.7121.3106.6–140.6
2086181.9166.6–198.8122.1107.9–139.8
2087178156.4–194.3123.7108–140.7
2088177.8163.5–196124106.5–142.2
2089180.9163.5–198.9124.1109–139.7
2090179.9162.4–197.8122.5105.4–141.9
2091184.2165.1–198.9124.3108–140.5
2092180.3162.9–196.3125.5110.1–140
2093181.1166.1–198.2124.5109–139.3
2094185.4168–198.9125108.7–142.9
2095181.9165.5–197.3125.3108.5–141
2096183.1163.5–200.3125.8109–142.4
2097181.5165.4–198.9123.6106.9–141.8
2098181.7162.1–198.8125.8109.4–143.8
2099179.9164.2–197.8123.1107.8–140.1
2100183.4162.9–198.1124.4107.9–143.7

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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