Egypt vs Yemen

Egypt vs Yemen: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 30.8 nights, or 1.21 times that in Egypt.

Watch it change on the map

nights a year · CMIP6

Egypt vs Yemen: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 30.8 nights, or 1.21 times that in Egypt.
EgyptYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Yemen 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 Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptYemen
2014145175.8
2013145176.9
2012145.1178.4
2011144.7178.3
2010143.5174.9
2009140.2173.4
2008142.6174
2007140.5173.9
2006139.6173.6
2005140172.4
2004141.3174.3
2003141173.5
2002137.7171.8
2001139172.7
2000134.8167.9
1999135.5168.6
1998133168.7
1997134168.8
1996132.1166
1995130.2164.3
1994129.8161.6
1993123.6161.2
1992126.1157.2
1991129.7166.5
1990129.7168.3
1989126164.3
1988124.3163.7
1987125.8160.7
1986128.9162.3
1985125.7158.2
1984119.4159.8
1983119.4155.4
1982120.7161.5
1981122.6161.7
1980124.9158.5
1979119.2160.1
1978122.6158.9
1977121.3161.2
1976123.2157.5
1975121.9156.9
1974123.1157.8
1973123.5158.1
1972120.1157.5
1971120.7156.7
1970119.7156.9
1969118.3157.5
1968119.4154.5
1967116.2152.1
1966116.1155.1
1965112.9153.5
1964116.4154
1963120.2154.7
1962118.9155.9
1961118.7158.7
1960123.6160.1
1959123.2156.1
1958120.7158.5
1957122.4158.1
1956122.7156.2
1955119.4157.4
1954120.8156.1
1953121.3155.1
1952120.7157
1951121.2155.4
1950118.8157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptYemen
2015149.6131.4–164.2180.9163.8–197.8
2016147.7133.5–160.2178.4162.7–194.6
2017150.8134.8–163.2179.8162.3–196.8
2018147.4133.4–165.6183.2165.3–198.6
2019149.6132.7–164179162–200.4
2020150.8136.4–164.7181.5163.1–195.9
2021152.1137.8–168.1184.6170.2–202.6
2022154138.1–170.6184.1167.5–203.7
2023154.4139–168.4186.8170.1–200.5
2024155.8141.7–168.5185.3168.8–206.4
2025154.5139.6–168.1186.5164.7–211.8
2026155.1144.5–165.9187.8167.9–208.8
2027154.2139.5–166.3186.5167.9–205.3
2028154.5141.8–168.6188.2172.3–203.6
2029156.3139.9–169.5193175.7–211.5
2030156.3143.1–169.1189.4171.6–207.4
2031155.5141.5–171.2193.4176.6–211.5
2032158.3144.6–170.4192.7173.2–213.2
2033159.9143.8–172.9191.2173–209.1
2034159.8144.9–173.2193.1172.1–214.9
2035163.5146.6–175.8193.1174.5–214.1
2036156.2143.7–170.6194177.6–213.5
2037158.8142.9–173.8195.9180.3–212.8
2038164.9146.1–177.8197.6178.5–217.1
2039161.8146.1–180.1194.8179.8–215.4
2040161.6147.9–176.5196.4178.8–220.1
2041163.7149.4–177.3198.5176.5–216.9
2042166.5149.7–180.6197.3174.4–225.8
2043163.6150.3–176.8198.3179.3–221
2044162.2147–178198.7180.5–221.9
2045167.2152.5–181199.8181.6–220.3
2046166149–181.1202.2181.7–229.3
2047165.9151.8–181.5205182.7–229.8
2048167.2154.5–180.1207.4188.8–229.5
2049165.3148.7–177.9203.6186.1–222.5
2050170152.8–183202.8186.2–226.3
2051165.6152.7–179.5204.6185.1–229.1
2052167.3156–180.2207.2186.9–227.7
2053170.1153.6–183.8203.9186.1–226.9
2054169153.3–183208.4188.3–234.9
2055170.5153.5–183.3208.3190.7–228
2056168.3151.2–181.4208.6188.5–236.3
2057166.8150.7–185.3208.4190.1–233.1
2058171.8154.2–188.2207.2184.7–236
2059173.3157.8–188.6213.3191.6–239.3
2060170.5154.8–189.3215194.1–235.3
2061170.3155.1–184.6209.8189.8–233.3
2062172.1155.2–185.7211.4189.6–246.5
2063169.7152.8–182.6215.9193.5–239.5
2064172.3155.9–187.2212.6194.7–231.7
2065173.3159.7–189.9212.5191.7–241.4
2066170155–187.7215.6196.9–241.3
2067176.2161.5–190214.6192.2–242.5
2068174.6157.3–193.1217192.5–243.8
2069175.8158.8–191.7216.7196.5–240.8
2070173.3158.3–191.7214.6189–244.5
2071176.8158.1–194.7221.2192.7–244.8
2072177.6160.8–192.1217.5194.7–239.4
2073176159.2–189.3220.5197.7–248.2
2074171.9156.5–194.1215.3193.3–240.1
2075171.8157–191.9220.7195.5–247.6
2076177161–194.6219.5196.2–243.5
2077179.7157–194.1220.8193.8–249.9
2078178.4161–195220.7198.9–246.9
2079178.2160.2–193.7219.4195.2–249.3
2080178.5163–193.3221.7197.8–246
2081177.2160–192.8222.4199.1–247
2082178.8164.5–193.3220.1198.5–243
2083180.6164.4–195.7217.4195.3–258.9
2084181.4162.4–197.8223.7195.6–246
2085178.8163–196.7225.1203.3–254.4
2086181.9166.6–198.8223.1196.5–256
2087178156.4–194.3225.8201.1–255.8
2088177.8163.5–196224197.1–259.9
2089180.9163.5–198.9225.6200.2–255.2
2090179.9162.4–197.8225.1201.5–253
2091184.2165.1–198.9228.1201.9–261.8
2092180.3162.9–196.3227.3200.1–261.6
2093181.1166.1–198.2223.6200.9–258.9
2094185.4168–198.9223200.3–250.5
2095181.9165.5–197.3228205.2–255.9
2096183.1163.5–200.3225.1201.6–257.9
2097181.5165.4–198.9222.6200.1–251.1
2098181.7162.1–198.8225.6199.6–261
2099179.9164.2–197.8223.2200.6–251.1
2100183.4162.9–198.1225.7204.7–259.7

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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