Saudi Arabia vs Syria

Saudi Arabia vs Syria: Days above 35 °C

Days above 35 °C in 2014: 165.7 days in Saudi Arabia and 77.6 days in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 88.1 days, or 2.14 times that in Syria.

days a year · CMIP6

Saudi Arabia vs Syria: Days above 35 °CDays above 35 °C in 2014: 165.7 days in Saudi Arabia and 77.6 days in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 88.1 days, or 2.14 times that in Syria.
Saudi ArabiaSyriaCMIP6 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 Syria at 117.9 days in 2100.

Every year

days a year · CMIP6

YearSaudi ArabiaSyria
2014165.777.6
2013163.774.8
2012164.476
2011164.274.8
2010162.275
200916073
2008161.674.9
2007159.771.1
2006160.273
200516172.8
2004160.472.6
2003159.574.8
2002160.469.9
200116273.3
2000159.870.4
1999158.270.1
1998156.368.8
1997156.767
1996156.366.7
1995154.164.4
1994154.862.6
1993148.859.4
199214758
1991153.462.4
1990156.867.5
1989153.865.3
1988153.163.6
1987152.761
1986153.765.1
198515159.8
198415058.6
1983147.755.7
1982149.259.7
1981153.261.8
198015363.5
1979150.757.3
1978149.558.4
1977150.158.8
1976151.562.1
1975146.655.6
1974147.959
1973149.558.6
1972148.260.3
1971146.360.1
1970146.960.9
1969147.460.9
1968147.458.1
1967145.357.6
1966146.957.4
1965146.355.8
1964145.455.9
1963145.858.3
1962148.759.5
1961150.161.1
1960150.960.9
195915161.6
1958150.261.9
1957152.362.9
1956148.761.3
1955148.658.3
1954148.758.7
1953150.262
1952150.861.5
1951148.663.3
1950148.859.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaSyria
2015168.1155.2–180.881.668.2–95.6
2016167.4155–178.279.368.4–97.9
2017166.4152.1–178.28368.3–94.2
2018167.1153.7–180.78469.7–97.7
2019168.2153.9–180.58673–95.9
2020169.6156.7–1828469.3–99.4
2021168.7155.3–180.585.372.2–96.2
2022169.6153.9–183.286.571–98.2
2023169.7155.9–184.988.576.4–101
2024170.4157.8–184.590.378–101.5
2025171.2159.4–181.989.170.7–102.4
2026173.2159.7–185.587.971.8–100.7
2027173.9159.3–185.490.575.7–102
2028172.8158.3–185.889.175.9–103.8
2029171157.4–183.89078.6–104
2030174.4160.6–185.990.477.7–104.4
2031175160.1–186.788.677.8–102.7
2032173.2160.2–1859477.4–106.1
2033176.3161.4–189.795.579.3–106.3
2034178.6164.5–193.493.979.7–108
2035176.1161.7–191.79583–104.6
2036174.7162–187.291.177.5–105.2
2037177.3164.7–189.294.978.3–107.6
2038177.8163.1–191.797.379.4–111.2
2039178.3165.1–192.598.182.9–115.3
2040178.6165.4–188.997.985.1–111.3
2041177.4162.3–19096.584.7–109.2
2042180165.1–193.298.877.8–110.2
2043179.6161.2–192.699.785.9–112.7
2044180.4167.3–19198.585–114.7
2045182.8167.9–195.9103.692.5–115.5
2046182168–195.8101.389.1–114.4
2047182.6170–195100.786.8–117.8
2048184.1169.5–199.4101.485.4–115.8
2049182.9169.7–195.4100.982.6–116.6
2050184.9170.6–196.8102.588–117.1
2051185.3171.5–197.6103.191.6–114.5
2052184.2170–196.6100.388–112.1
2053181.7168.3–195.110390.8–117.1
2054183.9167.9–197.3103.182–121.3
2055187.7171.8–200.3105.790–119.1
2056183.5168.6–196.2101.787.7–117.2
2057186.6172.5–201.3105.190.4–121.4
2058184.9169.7–198.2105.488.3–122.7
2059184.3169.9–199.3106.787.8–122.4
2060188.1174–198.7105.592.3–122.3
2061187.6174–198.4109.790.9–122.3
2062186.9170.4–201.9107.786.7–124.6
2063188.8174.6–201.8107.692.2–124.2
2064187.2174.3–201.1110.291.7–123.3
2065186.3171–200.8108.295.2–122.1
2066188.6174.6–204.2105.388.6–121.8
2067190.8177.1–204.4109.795.4–127.6
2068188.1176.8–201.4111.395.4–126
2069189.2174–202.2107.594–120.1
2070190.4177.1–204.1113.395.9–123.2
2071193.2174.7–207.4109.495.7–126.5
2072190.3174.7–203.7112.698.1–127
2073192.8177.3–207.711393.2–127.9
2074189.9174.1–206.8109.592.9–123.7
2075190.3174.8–206.1111.795.5–125.4
2076190.9175–206.9112.294–126.5
2077193.3176.6–206.1110.895.6–128
2078192.2178.3–207.4112100–127.9
2079192177.9–203.8117.9100.2–129.8
2080192.9177.3–209.4116.8101.5–128.9
2081193.1174.9–208112.597.1–132
2082192.8177.3–208.211596.5–130.3
2083194.3178.4–208.7115.894.1–131.2
2084193.4181.1–208.4117.696.5–129.2
2085193.9178.3–211114.695.2–129.1
2086193.2177.7–211.5114.3100–129.2
2087194.6180.8–208.8113.497.9–129.4
2088195178.3–211.9118.1101–132.7
2089195.7180.6–209.9117.199–132.8
2090194.9178.8–210.6116.4101.5–129.4
2091195.9182.4–210.1117100.2–135.8
2092195.7181.2–210.7116100.5–134.1
2093194.4178.8–210.4119.9102.9–137.9
2094195.7181.7–209.9117.4104.3–133.7
2095196.2182.1–210.7117100.8–133.2
2096196.8178.8–213.1115.1100.9–129.7
2097195.2178–211.1121.498.4–136.9
2098196.3177.7–212.9117.397.7–133
2099195.3181.5–210.6117.9102.9–129.7
2100195.8182.5–210.3117.998.2–137.3

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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