Egypt vs Yemen

Egypt vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 105.6 days in Egypt and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 2.4 days, or 1.02 times that in Egypt.

days a year · CMIP6

Egypt vs Yemen: Days above 35 °CDays above 35 °C in 2014: 105.6 days in Egypt and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 2.4 days, or 1.02 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 153.5 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearEgyptYemen
2014105.6108
2013106.5108.4
2012105.9108.5
2011107.4109.6
2010105.8106.6
2009100.3106.9
2008103.3104.4
2007100.7101.8
2006100.5104.3
200599.3104
2004102.1104.3
2003103.3104.7
200298105.5
200199.6104.7
200097.7104
199997.4101.7
199893.9101.6
199793.4101
199692.199.1
199591.898.7
199490.196.1
199383.593.8
199284.891.4
199192.4100.4
199092.8101
198989.998.2
198884.999.5
198786.697.3
19869197
198585.895.4
19848096.3
198380.592.3
198283.295.9
198185.498.5
198088.996.5
197980.796.1
197884.895.8
197782.195.5
197685.395
197581.393.3
197482.894.6
197383.496
197281.894.7
197181.792.3
197082.991.5
196980.494
196880.490.8
196778.591.5
196676.794.6
196574.790.9
196475.789.1
196382.290.5
196279.494.2
196181.494.4
196084.995
195984.894.2
195883.693.3
195784.196.3
19568593.5
195582.394.8
195480.393.4
19538493.9
195282.495.5
195182.393.3
19507995
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptYemen
2015111.990.8–128.2110.294.8–123.7
2016110.294.5–127.2110.497.3–122
2017111.197–126.6110.694.4–122.4
201811096.5–128.3111.994.4–125.7
2019111.396.6–127.8110.692.7–124.2
2020115.299.3–131.2111.999.3–125.7
2021114.5101.6–129.3112.198.9–126.5
2022117.4100.6–133.711290.1–127.8
2023117.3101.6–132.1114.796.4–130.2
2024119103.7–135.3114.999.4–132.2
2025120.1101.5–133.8113.195.7–129.6
2026118.6104.9–131.8115.394.8–134.1
2027117.9102.1–132115.396.6–129.4
2028119.9103.3–133.5115.6100.7–131.6
2029120.1102.1–137117.799.6–132.4
2030120.4104.9–134.6119102.7–131.5
2031119.2104.8–134.6119.4102.8–133.5
2032123.9110.2–138.1121104.8–136.1
2033126.1108.8–139121.7103.8–137.2
2034124.4108.9–139.2123.1104.2–139.8
2035127107.3–143.2122.2104.2–136.6
2036120.1107–137121.6105.4–136.4
2037125109–139.7121.8107–136.9
2038129.2110.5–145.3123.5109.3–140.2
2039127.4111.1–145.5124.4108.2–139.1
2040130.1113.6–145.3124.5109.7–141.3
2041129.3112–144.4124.3104.3–141.3
2042130.6110.6–147124.9106.5–142.7
2043129.4117.5–144.2126.2105.4–143
2044127.8110.2–145.3127.6108–143.1
2045133.4116.6–147.2128.1109.6–146.2
2046133.5116.3–149.7128.3108.5–146.3
2047133.8117.7–149.1127.9110.6–145.9
2048134.7118.6–149.8130.8111.1–149.5
2049131.5109.7–149.2131.1108.5–149
2050133.7118.5–149.4133112.8–150
2051131.1117.9–143.6130.7113.4–152.8
2052135.3121.8–149.8131.6110.6–146.5
2053134.6118.8–148.8131.5113–151.4
2054135.3116.9–150.8131.8110.9–149.6
2055138.6116–152.8135.7114.8–152.8
2056134.9114.6–150.4133.8115.7–153.4
2057134115.6–153.3135.8120.7–155.1
2058138.1117.5–155.5133.8111.9–152.4
2059140.2118.4–157.9134.2115.3–155.3
2060139.3121.5–157.9140.1121.7–155.9
2061136.4120.5–151.4138.2118.8–153.4
2062138.5120.7–153.2135.9115.9–160.4
2063138121.6–150.4139.9117.9–157.7
2064139.4124.3–157.5139.7118.2–155.7
2065140.2122.7–157.6135.1115.7–157.8
2066136.3119.3–155.3139.5116.6–156.9
2067145.3126–161141.6118.3–160.3
2068143.8123.2–161.6138.9117.7–161.2
2069142.9125.7–157.3141.4119–157.3
2070144.3121.8–160.9141.9120.6–161.6
2071143.2122.8–161.5143.6115.7–164.7
2072146.8127.7–162.6140.4119.8–157.6
2073144.3125.4–160.4143.8124.8–163.1
2074139.3121.4–159.1139.5118.2–162.4
2075139.7122.6–159.9142.5117.4–162.9
2076145.3123.2–162.9142.8122.6–161.6
2077148122.5–161.6144.4117.3–165.4
2078146.8126.7–162.7143.5122.8–166.6
2079147.3127.8–164.9144120.4–162.9
2080148.3128.1–163.8143.8119.6–167.9
2081145.3127.3–161.8146.8121.5–166.8
2082147.4130.6–165.2144.4122.4–167.3
2083148.5128.8–163.1144.2121.6–169.3
2084150.1130.1–167.3145.4122.6–167.4
2085145.2131–164.5147.9124.6–168.3
2086148.7132.2–165.5147121.3–167
2087146.5123.5–162.2148.2125.2–168.4
2088148.9128.6–163.9146.5126.6–169
2089149.6130.5–168.6147.9125.1–169.8
2090147.9130.5–162.9148.9122.3–169.4
2091153.9131.8–168.5149.7125.8–170.7
2092150.3131.6–166.6147.1128–170.3
2093151.4132.3–168147125.1–169.5
2094152.9133.9–169146.1127–166.9
2095150.7132.1–167.7149.8131.2–169.5
2096151129.9–167.8148.2124.1–172.3
2097151.3132.8–167.3146.3126.3–169.9
2098149.5130.4–166.4145.2119.7–172.3
2099149.6129.7–167.6149.9128.1–171.7
2100153.5130.3–169.4148.4131.4–169.2

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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