Egypt vs Tunisia

Egypt vs Tunisia: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 34.5 nights, or 1.31 times that in Tunisia.

nights a year · CMIP6

Egypt vs Tunisia: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 34.5 nights, or 1.31 times that in Tunisia.
EgyptTunisiaCMIP6 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 Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptTunisia
2014145110.5
2013145110.7
2012145.1110
2011144.7108.9
2010143.5109.6
2009140.2106.1
2008142.6108.6
2007140.5106.6
2006139.6107.6
2005140105.6
2004141.3105
2003141105.5
2002137.7103.8
2001139101.8
2000134.8104.5
1999135.5100.1
1998133100.1
1997134100.1
1996132.199.1
1995130.295.9
1994129.895
1993123.691.3
1992126.189.9
1991129.798.2
1990129.798.6
198912694.7
1988124.394.2
1987125.892.7
1986128.993.7
1985125.790.6
1984119.491.8
1983119.490
1982120.793.9
1981122.693.3
1980124.992.5
1979119.293.8
1978122.690.2
1977121.388.3
1976123.290.5
1975121.988.6
1974123.188.3
1973123.590.5
1972120.191
1971120.788.8
1970119.787.3
1969118.390.1
1968119.488.9
1967116.287.6
1966116.187.5
1965112.984.5
1964116.485.7
1963120.288
1962118.992.7
1961118.788.3
1960123.690.7
1959123.292.2
1958120.791.8
1957122.492.3
1956122.790
1955119.492.7
1954120.889.9
1953121.389.4
1952120.791.8
1951121.291.6
1950118.889.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptTunisia
2015149.6131.4–164.2110.796.9–126.1
2016147.7133.5–160.2111.596.6–130.1
2017150.8134.8–163.2116.5102.4–131.8
2018147.4133.4–165.6115.999.4–131.9
2019149.6132.7–164116.598.5–129.5
2020150.8136.4–164.7113.899.9–130.1
2021152.1137.8–168.1117.4104.1–129.3
2022154138.1–170.6119.7103–137.3
2023154.4139–168.4118.7102.2–131.9
2024155.8141.7–168.5121107.5–132.6
2025154.5139.6–168.1120.2100–134
2026155.1144.5–165.9122.1110.1–134.5
2027154.2139.5–166.3119103.6–134.1
2028154.5141.8–168.6121.1104.5–135.4
2029156.3139.9–169.5121.5110.2–135.8
2030156.3143.1–169.1121.6104–133.4
2031155.5141.5–171.2121.8105.7–134.9
2032158.3144.6–170.4125.2111.6–138.9
2033159.9143.8–172.9124.7107.6–137.5
2034159.8144.9–173.2124.6107–141.7
2035163.5146.6–175.8126.3115.5–142.6
2036156.2143.7–170.6126112.5–141.9
2037158.8142.9–173.8126.5110–140
2038164.9146.1–177.8126.2111.1–139.1
2039161.8146.1–180.1127112.5–142.3
2040161.6147.9–176.5127.5112.8–144.3
2041163.7149.4–177.3125.5109.1–140.4
2042166.5149.7–180.6129.9114.8–145.8
2043163.6150.3–176.8129.1111.6–142
2044162.2147–178127.1112.8–141.8
2045167.2152.5–181128.5113.8–140.8
2046166149–181.1128.3109.9–144
2047165.9151.8–181.5131.2113.6–147.5
2048167.2154.5–180.1129.9114.9–142.3
2049165.3148.7–177.9130115.4–143.5
2050170152.8–183132.3117.6–147.6
2051165.6152.7–179.5130.1112.6–148.6
2052167.3156–180.2132.7116.8–146.7
2053170.1153.6–183.8132.5119.5–149.8
2054169153.3–183135.2118.4–148.8
2055170.5153.5–183.3135.1119.2–151.6
2056168.3151.2–181.4134.8119.6–149.5
2057166.8150.7–185.3131.9118.5–148.6
2058171.8154.2–188.2137.8122.5–156.5
2059173.3157.8–188.6134.9117.1–152.5
2060170.5154.8–189.3136.2120.5–150.1
2061170.3155.1–184.6139119.4–154
2062172.1155.2–185.7134.9119.1–155.9
2063169.7152.8–182.6138.6119.2–152.5
2064172.3155.9–187.2134.9121.1–152.7
2065173.3159.7–189.9137.1123.3–150.5
2066170155–187.7136.6119.2–155.1
2067176.2161.5–190138.9124.4–154.3
2068174.6157.3–193.1141.7124.8–159.2
2069175.8158.8–191.7140.3123.5–154.1
2070173.3158.3–191.7137123.6–155.3
2071176.8158.1–194.7140.5123.1–156.1
2072177.6160.8–192.1142.6128–154.3
2073176159.2–189.3139.3124.7–154.6
2074171.9156.5–194.1140.1123–156.5
2075171.8157–191.9139.6124.5–157.1
2076177161–194.6143.4125.2–158.8
2077179.7157–194.1141.3119.1–158.3
2078178.4161–195143127.2–155.9
2079178.2160.2–193.7144.7123.9–158.5
2080178.5163–193.3143.6123.6–158.7
2081177.2160–192.8139.9126.3–158.8
2082178.8164.5–193.3145.5125.9–158.1
2083180.6164.4–195.7143.4124.3–158.7
2084181.4162.4–197.8144.8129.6–159.7
2085178.8163–196.7145.3124.7–159.5
2086181.9166.6–198.8144.7129.5–162.7
2087178156.4–194.3144125.7–159.2
2088177.8163.5–196147.3127.2–165.4
2089180.9163.5–198.9142.7125.3–164.8
2090179.9162.4–197.8145.2126.3–165.1
2091184.2165.1–198.9144.9127.4–164.4
2092180.3162.9–196.3148.2126.3–161.1
2093181.1166.1–198.2146.9127.2–165.6
2094185.4168–198.9145.7126.8–160.4
2095181.9165.5–197.3145.5125.4–161.5
2096183.1163.5–200.3146.3130–169.4
2097181.5165.4–198.9144.6125.7–160.6
2098181.7162.1–198.8147129.6–161.9
2099179.9164.2–197.8145.8130.3–163.7
2100183.4162.9–198.1143.8124.8–163.8

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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