Egypt vs Jordan

Egypt vs Jordan: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 70.4 nights, or 1.94 times that in Jordan.

nights a year · CMIP6

Egypt vs Jordan: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 70.4 nights, or 1.94 times that in Jordan.
EgyptJordanCMIP6 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 Jordan at 131.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptJordan
201414574.7
201314572.2
2012145.171.9
2011144.771.4
2010143.571.4
2009140.266.9
2008142.669.4
2007140.564.6
2006139.667.7
200514066.2
2004141.367.4
200314168.2
2002137.763
200113968.3
2000134.863.8
1999135.562.2
199813361.8
199713459.2
1996132.156.6
1995130.254.1
1994129.854.6
1993123.645.2
1992126.148.3
1991129.752.3
1990129.757.7
198912653.4
1988124.350.5
1987125.849.5
1986128.952
1985125.747.1
1984119.444.2
1983119.441.5
1982120.747.4
1981122.648.3
1980124.949.2
1979119.241.8
1978122.645.1
1977121.346.7
1976123.245.6
1975121.943
1974123.145.1
1973123.544.6
1972120.144.8
1971120.747.2
1970119.744.3
1969118.346.3
1968119.442.6
1967116.241.5
1966116.143
1965112.936.8
1964116.437.7
1963120.243
1962118.945
1961118.745.4
1960123.646.3
1959123.246.3
1958120.747.2
1957122.448.7
1956122.748.4
1955119.445.5
1954120.842.7
1953121.347.8
1952120.745.7
1951121.245
1950118.841.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptJordan
2015149.6131.4–164.281.862.6–98.9
2016147.7133.5–160.279.261.3–95.2
2017150.8134.8–163.282.466.3–96.6
2018147.4133.4–165.684.868.8–102.1
2019149.6132.7–16487.467.5–100.7
2020150.8136.4–164.786.866.8–102.2
2021152.1137.8–168.188.273.8–101.1
2022154138.1–170.688.170–103.7
2023154.4139–168.492.474.7–106.4
2024155.8141.7–168.590.776.3–107.1
2025154.5139.6–168.194.173.1–105.2
2026155.1144.5–165.991.678.6–106.9
2027154.2139.5–166.394.475.7–108.4
2028154.5141.8–168.692.675.9–106.3
2029156.3139.9–169.595.381.2–107.3
2030156.3143.1–169.196.381.5–111.7
2031155.5141.5–171.293.876.5–110.6
2032158.3144.6–170.410086.4–110.9
2033159.9143.8–172.9100.683.6–113.6
2034159.8144.9–173.298.882.4–112.3
2035163.5146.6–175.8101.883.2–115.2
2036156.2143.7–170.697.885.1–116.2
2037158.8142.9–173.810384.6–117.8
2038164.9146.1–177.8102.386.1–122.6
2039161.8146.1–180.1107.190.5–125.7
2040161.6147.9–176.5106.387.8–125.5
2041163.7149.4–177.3103.787.8–123.2
2042166.5149.7–180.6108.586.5–122.3
2043163.6150.3–176.8105.791–124.9
2044162.2147–178105.682.8–125.1
2045167.2152.5–18111298.8–128
2046166149–181.111395.5–127.5
2047165.9151.8–181.5112.293–125.7
2048167.2154.5–180.1111.893.7–129.7
2049165.3148.7–177.9110.384.7–125.6
2050170152.8–183112.495.9–127.2
2051165.6152.7–179.5112.397–125.6
2052167.3156–180.2110.697.4–125.9
2053170.1153.6–183.8113.798.2–129.9
2054169153.3–183115.492.5–130.9
2055170.5153.5–183.3115.794.8–130.2
2056168.3151.2–181.4115.394.2–130.5
2057166.8150.7–185.3115.496.7–135.6
2058171.8154.2–188.2116.196.6–136.8
2059173.3157.8–188.6120.998.5–137.1
2060170.5154.8–189.3115.898.7–138.7
2061170.3155.1–184.6118.897.1–132.3
2062172.1155.2–185.712091.6–136.4
2063169.7152.8–182.6118.7101.7–135.9
2064172.3155.9–187.2121.4103.3–135.9
2065173.3159.7–189.9120.2100.4–134.9
2066170155–187.7120.498.5–135
2067176.2161.5–190124106.1–139.5
2068174.6157.3–193.1123.2105.3–138.1
2069175.8158.8–191.7118.8105.4–137.2
2070173.3158.3–191.7123104–140.8
2071176.8158.1–194.7123.6103.8–144.3
2072177.6160.8–192.1124.5106.3–140.9
2073176159.2–189.3126.6104.8–144.4
2074171.9156.5–194.1120.9103–139.6
2075171.8157–191.9121.7103.1–138.1
2076177161–194.6124.1105.4–144.2
2077179.7157–194.1124.2105.3–143.9
2078178.4161–195124.7105.6–142.8
2079178.2160.2–193.7132107–143.6
2080178.5163–193.3128.9106.2–144.4
2081177.2160–192.8125.3108.7–144.8
2082178.8164.5–193.3128107.9–145.2
2083180.6164.4–195.7130.9108–144.7
2084181.4162.4–197.8130.5110.6–145
2085178.8163–196.7129.1108.8–141.7
2086181.9166.6–198.8127.5108.9–147.6
2087178156.4–194.3129.8106.1–148.4
2088177.8163.5–196132.2114.9–149.4
2089180.9163.5–198.9128.7113.4–148.5
2090179.9162.4–197.8128.2111.9–151.3
2091184.2165.1–198.9132.8112.5–152.1
2092180.3162.9–196.3130.6108.3–152.6
2093181.1166.1–198.2135.8116.2–154.4
2094185.4168–198.9135.9116.3–150.6
2095181.9165.5–197.3133112.7–149.6
2096183.1163.5–200.3130.4108.1–151.3
2097181.5165.4–198.9134.5113.5–155.4
2098181.7162.1–198.8132.5114.9–152.3
2099179.9164.2–197.8132.1115.3–145.3
2100183.4162.9–198.1131.7111.2–153.1

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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