Egypt vs Saudi Arabia

Egypt vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 36.5 nights, or 1.25 times that in Egypt.

Watch it change on the map

nights a year · CMIP6

Egypt vs Saudi Arabia: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 36.5 nights, or 1.25 times that in Egypt.
EgyptSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptSaudi Arabia
2014145181.5
2013145180.4
2012145.1182.8
2011144.7182.7
2010143.5179.2
2009140.2177.1
2008142.6180.3
2007140.5178.9
2006139.6177.5
2005140177.9
2004141.3177.6
2003141177.4
2002137.7175.6
2001139178.1
2000134.8176.4
1999135.5173.2
1998133173.4
1997134173.8
1996132.1172
1995130.2169.2
1994129.8170.4
1993123.6164.6
1992126.1165.9
1991129.7169.2
1990129.7172.7
1989126168.9
1988124.3166.8
1987125.8167.3
1986128.9169.4
1985125.7166
1984119.4165
1983119.4163.5
1982120.7164.7
1981122.6168.9
1980124.9166.8
1979119.2165.3
1978122.6164.8
1977121.3165.6
1976123.2165.9
1975121.9161.2
1974123.1162.9
1973123.5163.7
1972120.1163.7
1971120.7160.4
1970119.7162.5
1969118.3161.3
1968119.4162.7
1967116.2159.5
1966116.1159.5
1965112.9159.5
1964116.4159.9
1963120.2160.2
1962118.9163.2
1961118.7163.7
1960123.6165.7
1959123.2164.4
1958120.7164.1
1957122.4165.5
1956122.7163.6
1955119.4162
1954120.8161.2
1953121.3162.5
1952120.7163.4
1951121.2161.2
1950118.8161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptSaudi Arabia
2015149.6131.4–164.2184.9169.4–198.7
2016147.7133.5–160.2183167.7–195.7
2017150.8134.8–163.2182.6168.1–196.7
2018147.4133.4–165.6186.8173.1–199.4
2019149.6132.7–164184.1168.8–199.1
2020150.8136.4–164.7185.3171.8–198.9
2021152.1137.8–168.1188.6173.6–202.8
2022154138.1–170.6187.6170.7–202
2023154.4139–168.4188.6173–203.8
2024155.8141.7–168.5187.1172.9–203.9
2025154.5139.6–168.1191.5176–206.1
2026155.1144.5–165.9191.8177.1–205.5
2027154.2139.5–166.3191.2176.6–206.8
2028154.5141.8–168.6191.9175.5–205.1
2029156.3139.9–169.5192.2176.6–205.7
2030156.3143.1–169.1193.3178.4–206.3
2031155.5141.5–171.2194.7179.1–207.6
2032158.3144.6–170.4192.2175.2–206
2033159.9143.8–172.9192.6177.5–206.9
2034159.8144.9–173.2196.7181.6–213
2035163.5146.6–175.8196.5179.9–211.6
2036156.2143.7–170.6194.1180–209.7
2037158.8142.9–173.8197183.7–209.9
2038164.9146.1–177.8198.4182.3–213.3
2039161.8146.1–180.1198184.4–213.6
2040161.6147.9–176.5199.2182.1–212.7
2041163.7149.4–177.3197.7181.4–211.7
2042166.5149.7–180.6198.3181.2–217
2043163.6150.3–176.8198.2182.3–215.3
2044162.2147–178199.2185.5–213.5
2045167.2152.5–181202187.1–216.8
2046166149–181.1204.1185.3–219.4
2047165.9151.8–181.5204.1187.4–220
2048167.2154.5–180.1206.1190.7–220
2049165.3148.7–177.9201.6187.7–216.2
2050170152.8–183205.7190.2–219.3
2051165.6152.7–179.5204.3188.8–222.1
2052167.3156–180.2203.8189.6–218
2053170.1153.6–183.8203.8186.3–218.8
2054169153.3–183207.6188.3–222.3
2055170.5153.5–183.3207.8190.8–221
2056168.3151.2–181.4203.7186.6–220.1
2057166.8150.7–185.3207.5188.8–224.2
2058171.8154.2–188.2205.9189.2–221.4
2059173.3157.8–188.6207.3191.6–226.9
2060170.5154.8–189.3206.9192.7–222.8
2061170.3155.1–184.6206.5190.4–220.9
2062172.1155.2–185.7208.1189.4–228.3
2063169.7152.8–182.6210.4193–227.1
2064172.3155.9–187.2207.5191.9–223.3
2065173.3159.7–189.9208.9193.9–226.1
2066170155–187.7210.3194.9–228
2067176.2161.5–190210.9193.1–228.6
2068174.6157.3–193.1209.8194.6–228.6
2069175.8158.8–191.7208.9194.5–226.3
2070173.3158.3–191.7211.2191.2–229
2071176.8158.1–194.7215.1196.3–233.3
2072177.6160.8–192.1213.6195.3–229.3
2073176159.2–189.3213.7194.1–231.6
2074171.9156.5–194.1210.5191.9–229.3
2075171.8157–191.9212.1196.6–231.8
2076177161–194.6212.8194.8–230.3
2077179.7157–194.1215.1196.6–233.9
2078178.4161–195215.5197.6–230.7
2079178.2160.2–193.7213.6197–229
2080178.5163–193.3213.6197.1–233.9
2081177.2160–192.8214.7194.4–231.6
2082178.8164.5–193.3214198.9–230.9
2083180.6164.4–195.7214.2198.5–238
2084181.4162.4–197.8217.4197.4–233.1
2085178.8163–196.7217.4199.6–237.9
2086181.9166.6–198.8217197.4–237.4
2087178156.4–194.3217.3199.7–238.7
2088177.8163.5–196216.1198.2–243.1
2089180.9163.5–198.9217.6199.5–239
2090179.9162.4–197.8217.3198.5–239.2
2091184.2165.1–198.9218.5202.8–238.4
2092180.3162.9–196.3218.5198.5–241.6
2093181.1166.1–198.2216.6197.8–236.3
2094185.4168–198.9218.8202–236.9
2095181.9165.5–197.3219.4204.2–237.4
2096183.1163.5–200.3219.9197.7–239.6
2097181.5165.4–198.9216.7196.8–239.7
2098181.7162.1–198.8219.7199.6–241.3
2099179.9164.2–197.8216.8200.8–236.8
2100183.4162.9–198.1218.7202.3–241

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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