Egypt vs Sudan

Egypt vs Sudan: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 97.4 nights, or 1.67 times that in Egypt.

nights a year · CMIP6

Egypt vs Sudan: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 97.4 nights, or 1.67 times that in Egypt.
EgyptSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptSudan
2014145242.4
2013145240
2012145.1242
2011144.7242.2
2010143.5240.6
2009140.2236.5
2008142.6237.1
2007140.5236
2006139.6235.3
2005140233.1
2004141.3233.5
2003141235.6
2002137.7234.7
2001139235.4
2000134.8230.5
1999135.5232.1
1998133230.2
1997134231.1
1996132.1227.3
1995130.2227.8
1994129.8225.3
1993123.6219.1
1992126.1217.8
1991129.7227.3
1990129.7227.5
1989126223
1988124.3223.1
1987125.8224.4
1986128.9226.4
1985125.7222.1
1984119.4220.7
1983119.4217
1982120.7216.3
1981122.6223.2
1980124.9220
1979119.2218.4
1978122.6218.5
1977121.3219.3
1976123.2220.1
1975121.9215.7
1974123.1217.5
1973123.5220
1972120.1217.9
1971120.7215.5
1970119.7217
1969118.3213.1
1968119.4214
1967116.2210.3
1966116.1213.3
1965112.9213.4
1964116.4213.2
1963120.2210.1
1962118.9217
1961118.7216.9
1960123.6221.3
1959123.2217.8
1958120.7216.2
1957122.4218.9
1956122.7217.2
1955119.4216.6
1954120.8218.9
1953121.3215.1
1952120.7216.4
1951121.2218.5
1950118.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptSudan
2015149.6131.4–164.2242.3225.3–258.3
2016147.7133.5–160.2241.4223.3–254.1
2017150.8134.8–163.2243.2223–259.1
2018147.4133.4–165.6242.3226.4–258.5
2019149.6132.7–164243.1221.7–260.4
2020150.8136.4–164.7244.9225.9–261.7
2021152.1137.8–168.1245.6229.1–261.5
2022154138.1–170.6249230.9–262.3
2023154.4139–168.4247.1226.8–263.1
2024155.8141.7–168.5251.5232.8–266.1
2025154.5139.6–168.1250.7232.4–265.6
2026155.1144.5–165.9250230.8–266.6
2027154.2139.5–166.3248.8228.4–265.6
2028154.5141.8–168.6249232.2–263.1
2029156.3139.9–169.5251.4232.1–266
2030156.3143.1–169.1252235.4–266.7
2031155.5141.5–171.2253.3234.4–268.9
2032158.3144.6–170.4250.4232.3–266.6
2033159.9143.8–172.9254.4235.3–269.4
2034159.8144.9–173.2254.2234.5–269.9
2035163.5146.6–175.8258.3240.2–273.6
2036156.2143.7–170.6252.8235.6–268.6
2037158.8142.9–173.8256.7238.6–271.8
2038164.9146.1–177.8258.7244.8–272.1
2039161.8146.1–180.1259.5241.2–272.5
2040161.6147.9–176.5256.4236.7–272.3
2041163.7149.4–177.3259.1241.2–274.5
2042166.5149.7–180.6258.7242–274.7
2043163.6150.3–176.8258.1240.3–272.6
2044162.2147–178257.3238.6–274.7
2045167.2152.5–181258.8243.1–276.2
2046166149–181.1261.1241.7–277.6
2047165.9151.8–181.5261.4244.6–278.4
2048167.2154.5–180.1260.4243.4–279.5
2049165.3148.7–177.9261.9242.6–275.9
2050170152.8–183263.5245.4–279
2051165.6152.7–179.5263.6246.6–278.8
2052167.3156–180.2263.8248.7–278.3
2053170.1153.6–183.8262.8242.4–279.2
2054169153.3–183266.3246.6–282.9
2055170.5153.5–183.3265.6245.9–281.4
2056168.3151.2–181.4264.1242.6–281.5
2057166.8150.7–185.3266.4247.6–283.4
2058171.8154.2–188.2265.2247.4–280.3
2059173.3157.8–188.6268.4249.6–285.4
2060170.5154.8–189.3263.6246.7–284.4
2061170.3155.1–184.6266.9250.1–281.9
2062172.1155.2–185.7266.4248.5–285
2063169.7152.8–182.6267.1246.9–283.4
2064172.3155.9–187.2269250.7–284.7
2065173.3159.7–189.9269.8253.9–285.6
2066170155–187.7271.4251.9–287.3
2067176.2161.5–190270.9250–288.4
2068174.6157.3–193.1271.9251.7–289.8
2069175.8158.8–191.7268251.1–286.2
2070173.3158.3–191.7269252.3–285.8
2071176.8158.1–194.7275.5254.1–290.4
2072177.6160.8–192.1273.3254.2–289.4
2073176159.2–189.3271.9250.7–287.6
2074171.9156.5–194.1270.9249–290.1
2075171.8157–191.9273.1254–291.9
2076177161–194.6272.7255.2–290.9
2077179.7157–194.1274.6255.2–292.7
2078178.4161–195274.3255.6–291.2
2079178.2160.2–193.7272255.2–288.5
2080178.5163–193.3276.6256–292.2
2081177.2160–192.8275.1254.1–294.8
2082178.8164.5–193.3272.9258.7–288.6
2083180.6164.4–195.7276.5258–291.7
2084181.4162.4–197.8275.4253–294.9
2085178.8163–196.7275.3258.6–291.6
2086181.9166.6–198.8276.4256.9–296.6
2087178156.4–194.3273.5253.1–293.3
2088177.8163.5–196273.6253.7–293.6
2089180.9163.5–198.9276.5256.6–293.4
2090179.9162.4–197.8276.6256.4–294.6
2091184.2165.1–198.9277.4256.4–296.6
2092180.3162.9–196.3274.6254.3–294.9
2093181.1166.1–198.2278261.9–292.1
2094185.4168–198.9280.3262.2–294
2095181.9165.5–197.3277.5262.6–294
2096183.1163.5–200.3279.7258.7–297
2097181.5165.4–198.9276.3254.1–297.6
2098181.7162.1–198.8277.7258.2–295.5
2099179.9164.2–197.8276.8257.2–296.2
2100183.4162.9–198.1278.6259–294.3

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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