Egypt vs Libya

Egypt vs Libya: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 138.1 nights in Libya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 6.9 nights, or 1.05 times that in Libya.

nights a year · CMIP6

Egypt vs Libya: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 138.1 nights in Libya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 6.9 nights, or 1.05 times that in Libya.
EgyptLibyaCMIP6 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 Libya at 172.3 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptLibya
2014145138.1
2013145137.8
2012145.1138.4
2011144.7139.2
2010143.5136.9
2009140.2134.6
2008142.6137.9
2007140.5134.2
2006139.6134.3
2005140135.4
2004141.3134.1
2003141134.3
2002137.7133.8
2001139131.4
2000134.8128.8
1999135.5126.8
1998133126
1997134126.7
1996132.1124.7
1995130.2123.8
1994129.8122
1993123.6117.9
1992126.1118.6
1991129.7125.4
1990129.7123.4
1989126119.5
1988124.3116.9
1987125.8116.8
1986128.9123.6
1985125.7117.9
1984119.4113.4
1983119.4112.8
1982120.7114
1981122.6117
1980124.9118.8
1979119.2112
1978122.6116.9
1977121.3112.2
1976123.2116.5
1975121.9113.1
1974123.1112.4
1973123.5116.2
1972120.1114.6
1971120.7111.4
1970119.7112.2
1969118.3108.3
1968119.4111.9
1967116.2111.4
1966116.1109.5
1965112.9105.7
1964116.4108.6
1963120.2112.3
1962118.9111.9
1961118.7110.5
1960123.6116.6
1959123.2113.5
1958120.7113.6
1957122.4114.9
1956122.7113.3
1955119.4112.5
1954120.8110.9
1953121.3113.6
1952120.7111.6
1951121.2111.5
1950118.8109.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptLibya
2015149.6131.4–164.2140.5122.7–155
2016147.7133.5–160.2140.8126.8–152.9
2017150.8134.8–163.2146128.5–159.7
2018147.4133.4–165.6140.6121.8–159.1
2019149.6132.7–164144.3121.2–156.8
2020150.8136.4–164.7143.7126.3–158.3
2021152.1137.8–168.1144.7131.1–159
2022154138.1–170.6146.2129.6–163.7
2023154.4139–168.4144.7131.2–158.3
2024155.8141.7–168.5148.8135.3–162.1
2025154.5139.6–168.1148131.8–160.5
2026155.1144.5–165.9148.9135.9–160.7
2027154.2139.5–166.3146.2129.7–158.7
2028154.5141.8–168.6146133.3–161.9
2029156.3139.9–169.5148.6134.1–161.5
2030156.3143.1–169.1148.3131.9–159.9
2031155.5141.5–171.2149132.5–165.3
2032158.3144.6–170.4151.7137.6–165
2033159.9143.8–172.9152.7134.7–163.5
2034159.8144.9–173.2152.1136.4–166.8
2035163.5146.6–175.8153.3136.3–168.5
2036156.2143.7–170.6148.9135.3–162.7
2037158.8142.9–173.8150.2136.1–164.4
2038164.9146.1–177.8153.9139.1–169.1
2039161.8146.1–180.1154.2134.7–172.2
2040161.6147.9–176.5155.4140.4–168.6
2041163.7149.4–177.3154.4138.9–167.4
2042166.5149.7–180.6158.8139–173.8
2043163.6150.3–176.8156143.6–167.9
2044162.2147–178153.3138.2–169.2
2045167.2152.5–181157.6140–169.7
2046166149–181.1157139.9–170.8
2047165.9151.8–181.5157.1142.6–171.9
2048167.2154.5–180.1156.8144.9–168.2
2049165.3148.7–177.9156.4141.9–171.2
2050170152.8–183160.2144.6–172.3
2051165.6152.7–179.5156.9142.4–172.3
2052167.3156–180.2160.6147.6–173.2
2053170.1153.6–183.8160.4145.8–172.2
2054169153.3–183160143.6–176.2
2055170.5153.5–183.3161.7149–173.4
2056168.3151.2–181.4157.7140.4–173.6
2057166.8150.7–185.3158.9142.3–177.5
2058171.8154.2–188.2161.7145.2–179.2
2059173.3157.8–188.6165.2147.4–180.9
2060170.5154.8–189.3162.5143.4–179.2
2061170.3155.1–184.6162.8147.1–178.6
2062172.1155.2–185.7163.6147.2–177.4
2063169.7152.8–182.6158.9144–174.4
2064172.3155.9–187.2164.6146.1–179
2065173.3159.7–189.9164.6149.1–179
2066170155–187.7162.6144.6–179.3
2067176.2161.5–190168152–179.9
2068174.6157.3–193.1167.1148–184.3
2069175.8158.8–191.7167.1149.7–182.7
2070173.3158.3–191.7164.8147.9–184.1
2071176.8158.1–194.7166.9147.5–183.3
2072177.6160.8–192.1171.2152.9–181.9
2073176159.2–189.3165.5148.3–180.1
2074171.9156.5–194.1163.1144.5–182
2075171.8157–191.9164.5148.4–182.4
2076177161–194.6169.6149.7–184.9
2077179.7157–194.1171.2149.1–183.6
2078178.4161–195171.6153.1–183.2
2079178.2160.2–193.7168.4149.8–182.8
2080178.5163–193.3169.4152.6–183
2081177.2160–192.8166.3147.4–180.8
2082178.8164.5–193.3168.9153.2–184.9
2083180.6164.4–195.7166.9151.7–186.5
2084181.4162.4–197.8172.9151.6–186.4
2085178.8163–196.7168.7152.1–183.4
2086181.9166.6–198.8173.7157.5–188.1
2087178156.4–194.3167.7145–184.9
2088177.8163.5–196169.8153–188.3
2089180.9163.5–198.9169.4154–188.9
2090179.9162.4–197.8169.3149.9–188.3
2091184.2165.1–198.9172.9156.2–187.9
2092180.3162.9–196.3172.2154.1–186
2093181.1166.1–198.2171.8154.8–187.9
2094185.4168–198.9172.8157.2–185.2
2095181.9165.5–197.3170.8155.1–186.2
2096183.1163.5–200.3170.1156.2–189.7
2097181.5165.4–198.9169.4154.6–183.2
2098181.7162.1–198.8169.8151.1–185.7
2099179.9164.2–197.8169.3156.5–188.9
2100183.4162.9–198.1172.3153.7–190.8

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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