Saudi Arabia vs Yemen

Saudi Arabia vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 165.7 days in Saudi Arabia and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 57.7 days, or 1.53 times that in Yemen.

days a year · CMIP6

Saudi Arabia vs Yemen: Days above 35 °CDays above 35 °C in 2014: 165.7 days in Saudi Arabia and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 57.7 days, or 1.53 times that in Yemen.
Saudi ArabiaYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Saudi Arabia at 195.8 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearSaudi ArabiaYemen
2014165.7108
2013163.7108.4
2012164.4108.5
2011164.2109.6
2010162.2106.6
2009160106.9
2008161.6104.4
2007159.7101.8
2006160.2104.3
2005161104
2004160.4104.3
2003159.5104.7
2002160.4105.5
2001162104.7
2000159.8104
1999158.2101.7
1998156.3101.6
1997156.7101
1996156.399.1
1995154.198.7
1994154.896.1
1993148.893.8
199214791.4
1991153.4100.4
1990156.8101
1989153.898.2
1988153.199.5
1987152.797.3
1986153.797
198515195.4
198415096.3
1983147.792.3
1982149.295.9
1981153.298.5
198015396.5
1979150.796.1
1978149.595.8
1977150.195.5
1976151.595
1975146.693.3
1974147.994.6
1973149.596
1972148.294.7
1971146.392.3
1970146.991.5
1969147.494
1968147.490.8
1967145.391.5
1966146.994.6
1965146.390.9
1964145.489.1
1963145.890.5
1962148.794.2
1961150.194.4
1960150.995
195915194.2
1958150.293.3
1957152.396.3
1956148.793.5
1955148.694.8
1954148.793.4
1953150.293.9
1952150.895.5
1951148.693.3
1950148.895
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaYemen
2015168.1155.2–180.8110.294.8–123.7
2016167.4155–178.2110.497.3–122
2017166.4152.1–178.2110.694.4–122.4
2018167.1153.7–180.7111.994.4–125.7
2019168.2153.9–180.5110.692.7–124.2
2020169.6156.7–182111.999.3–125.7
2021168.7155.3–180.5112.198.9–126.5
2022169.6153.9–183.211290.1–127.8
2023169.7155.9–184.9114.796.4–130.2
2024170.4157.8–184.5114.999.4–132.2
2025171.2159.4–181.9113.195.7–129.6
2026173.2159.7–185.5115.394.8–134.1
2027173.9159.3–185.4115.396.6–129.4
2028172.8158.3–185.8115.6100.7–131.6
2029171157.4–183.8117.799.6–132.4
2030174.4160.6–185.9119102.7–131.5
2031175160.1–186.7119.4102.8–133.5
2032173.2160.2–185121104.8–136.1
2033176.3161.4–189.7121.7103.8–137.2
2034178.6164.5–193.4123.1104.2–139.8
2035176.1161.7–191.7122.2104.2–136.6
2036174.7162–187.2121.6105.4–136.4
2037177.3164.7–189.2121.8107–136.9
2038177.8163.1–191.7123.5109.3–140.2
2039178.3165.1–192.5124.4108.2–139.1
2040178.6165.4–188.9124.5109.7–141.3
2041177.4162.3–190124.3104.3–141.3
2042180165.1–193.2124.9106.5–142.7
2043179.6161.2–192.6126.2105.4–143
2044180.4167.3–191127.6108–143.1
2045182.8167.9–195.9128.1109.6–146.2
2046182168–195.8128.3108.5–146.3
2047182.6170–195127.9110.6–145.9
2048184.1169.5–199.4130.8111.1–149.5
2049182.9169.7–195.4131.1108.5–149
2050184.9170.6–196.8133112.8–150
2051185.3171.5–197.6130.7113.4–152.8
2052184.2170–196.6131.6110.6–146.5
2053181.7168.3–195.1131.5113–151.4
2054183.9167.9–197.3131.8110.9–149.6
2055187.7171.8–200.3135.7114.8–152.8
2056183.5168.6–196.2133.8115.7–153.4
2057186.6172.5–201.3135.8120.7–155.1
2058184.9169.7–198.2133.8111.9–152.4
2059184.3169.9–199.3134.2115.3–155.3
2060188.1174–198.7140.1121.7–155.9
2061187.6174–198.4138.2118.8–153.4
2062186.9170.4–201.9135.9115.9–160.4
2063188.8174.6–201.8139.9117.9–157.7
2064187.2174.3–201.1139.7118.2–155.7
2065186.3171–200.8135.1115.7–157.8
2066188.6174.6–204.2139.5116.6–156.9
2067190.8177.1–204.4141.6118.3–160.3
2068188.1176.8–201.4138.9117.7–161.2
2069189.2174–202.2141.4119–157.3
2070190.4177.1–204.1141.9120.6–161.6
2071193.2174.7–207.4143.6115.7–164.7
2072190.3174.7–203.7140.4119.8–157.6
2073192.8177.3–207.7143.8124.8–163.1
2074189.9174.1–206.8139.5118.2–162.4
2075190.3174.8–206.1142.5117.4–162.9
2076190.9175–206.9142.8122.6–161.6
2077193.3176.6–206.1144.4117.3–165.4
2078192.2178.3–207.4143.5122.8–166.6
2079192177.9–203.8144120.4–162.9
2080192.9177.3–209.4143.8119.6–167.9
2081193.1174.9–208146.8121.5–166.8
2082192.8177.3–208.2144.4122.4–167.3
2083194.3178.4–208.7144.2121.6–169.3
2084193.4181.1–208.4145.4122.6–167.4
2085193.9178.3–211147.9124.6–168.3
2086193.2177.7–211.5147121.3–167
2087194.6180.8–208.8148.2125.2–168.4
2088195178.3–211.9146.5126.6–169
2089195.7180.6–209.9147.9125.1–169.8
2090194.9178.8–210.6148.9122.3–169.4
2091195.9182.4–210.1149.7125.8–170.7
2092195.7181.2–210.7147.1128–170.3
2093194.4178.8–210.4147125.1–169.5
2094195.7181.7–209.9146.1127–166.9
2095196.2182.1–210.7149.8131.2–169.5
2096196.8178.8–213.1148.2124.1–172.3
2097195.2178–211.1146.3126.3–169.9
2098196.3177.7–212.9145.2119.7–172.3
2099195.3181.5–210.6149.9128.1–171.7
2100195.8182.5–210.3148.4131.4–169.2

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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