Egypt vs Iraq

Egypt vs Iraq: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 151.4 nights in Iraq, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 6.4 nights, or 1.04 times that in Egypt.

nights a year · CMIP6

Egypt vs Iraq: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 151.4 nights in Iraq, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 6.4 nights, or 1.04 times that in Egypt.
EgyptIraqCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq 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 Iraq at 178.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptIraq
2014145151.4
2013145151.3
2012145.1150.9
2011144.7150.7
2010143.5147.5
2009140.2146.1
2008142.6149.9
2007140.5148
2006139.6146.9
2005140147.7
2004141.3147.3
2003141145.4
2002137.7147.2
2001139146.6
2000134.8148
1999135.5143.6
1998133142.6
1997134144.5
1996132.1143.7
1995130.2139.1
1994129.8141.6
1993123.6136.6
1992126.1136.6
1991129.7138.1
1990129.7142.7
1989126141.6
1988124.3138.2
1987125.8138.9
1986128.9140.9
1985125.7137.6
1984119.4135.5
1983119.4135
1982120.7135.8
1981122.6140.3
1980124.9139.4
1979119.2136.4
1978122.6136.8
1977121.3137.7
1976123.2138.2
1975121.9134.1
1974123.1135.8
1973123.5136.1
1972120.1135.8
1971120.7133.7
1970119.7135.5
1969118.3135.5
1968119.4134.3
1967116.2133.6
1966116.1132.9
1965112.9132.9
1964116.4134.2
1963120.2135.1
1962118.9137.7
1961118.7138.2
1960123.6136.7
1959123.2139
1958120.7138.4
1957122.4137.3
1956122.7136.6
1955119.4134.7
1954120.8136.1
1953121.3137
1952120.7136.7
1951121.2137.3
1950118.8134.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptIraq
2015149.6131.4–164.2154.9143.1–165.8
2016147.7133.5–160.2152.1139.6–164.5
2017150.8134.8–163.2154.1139.5–165.6
2018147.4133.4–165.6153.8142.3–165
2019149.6132.7–164153.3141–166.9
2020150.8136.4–164.7155.1144.8–166
2021152.1137.8–168.1155.8144.5–166.5
2022154138.1–170.6155.9144.3–168
2023154.4139–168.4157.1146.3–168.5
2024155.8141.7–168.5155.9145.1–167.7
2025154.5139.6–168.1156.8145.6–168.8
2026155.1144.5–165.9158.1147.1–168.2
2027154.2139.5–166.3159.5148.6–169.8
2028154.5141.8–168.6157.5145.7–169.4
2029156.3139.9–169.5158.5149.2–167.6
2030156.3143.1–169.1157.9147.4–169.7
2031155.5141.5–171.2160.1146.9–171.3
2032158.3144.6–170.4160146.9–170.6
2033159.9143.8–172.9161.6151.5–172
2034159.8144.9–173.2161148.9–173.9
2035163.5146.6–175.8161.8150.3–173.6
2036156.2143.7–170.6158.5146.3–170.6
2037158.8142.9–173.8161.2148.6–173.5
2038164.9146.1–177.8165.1152.5–174.7
2039161.8146.1–180.1164.6152.2–177.7
2040161.6147.9–176.5165153.4–175.3
2041163.7149.4–177.3163.3151.3–172.5
2042166.5149.7–180.6165.3153–176.8
2043163.6150.3–176.8164.6151.4–175.3
2044162.2147–178164.6155.1–175.2
2045167.2152.5–181167.8152.2–180.1
2046166149–181.1167.6155–178.8
2047165.9151.8–181.5167.1156.3–177.3
2048167.2154.5–180.1165.8155.5–179.1
2049165.3148.7–177.9165.6155.1–177.4
2050170152.8–183170.8156.9–181.9
2051165.6152.7–179.5168.8155.6–181.1
2052167.3156–180.2167.8154.5–180.4
2053170.1153.6–183.8168.5155.9–181.1
2054169153.3–183170.4155.7–181.4
2055170.5153.5–183.3171.2158.7–181.8
2056168.3151.2–181.4168152.6–178.6
2057166.8150.7–185.3169.2153.3–186.3
2058171.8154.2–188.2170.7157.1–185.5
2059173.3157.8–188.6169.8157–187.5
2060170.5154.8–189.3169.5157.6–185.7
2061170.3155.1–184.6170.2157.8–180.7
2062172.1155.2–185.7171.2158.1–183
2063169.7152.8–182.6170.6156.5–183.6
2064172.3155.9–187.2170159.8–182.8
2065173.3159.7–189.9171.7160.9–185.3
2066170155–187.7172.4158.6–184.5
2067176.2161.5–190173.9161.8–187.6
2068174.6157.3–193.1172.6159.5–185
2069175.8158.8–191.7174.3160.8–186.2
2070173.3158.3–191.7175.4162.3–186.7
2071176.8158.1–194.7176.1161.2–188.9
2072177.6160.8–192.1174.1161.5–187.3
2073176159.2–189.3176.1159.9–190.6
2074171.9156.5–194.1173.5157.8–187
2075171.8157–191.9171.3158.5–186.4
2076177161–194.6173.1158.7–186.3
2077179.7157–194.1176.7160.9–189.8
2078178.4161–195176.2163.1–188.2
2079178.2160.2–193.7175.2160.1–188
2080178.5163–193.3172.9160.7–190.1
2081177.2160–192.8175.5161.6–189.9
2082178.8164.5–193.3176.9162.8–188.2
2083180.6164.4–195.7179.2161.9–191.4
2084181.4162.4–197.8179.7164.5–191
2085178.8163–196.7177.9162.3–190.8
2086181.9166.6–198.8178.4166.1–189.5
2087178156.4–194.3178.1161.8–194.1
2088177.8163.5–196178.1163.4–194.1
2089180.9163.5–198.9177.5162.8–192.6
2090179.9162.4–197.8176.1163.1–191.9
2091184.2165.1–198.9178.7163.4–192.6
2092180.3162.9–196.3179.2164.9–191.4
2093181.1166.1–198.2179.3165.6–193.8
2094185.4168–198.9181.3169.4–192.9
2095181.9165.5–197.3181.2166.6–193.1
2096183.1163.5–200.3179.2163.8–193.2
2097181.5165.4–198.9180.7162.7–194.4
2098181.7162.1–198.8178.4163.1–199
2099179.9164.2–197.8178.9166.7–191.9
2100183.4162.9–198.1178.7165.8–191.9

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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