Iraq vs Yemen

Iraq vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 143.3 days in Iraq and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 35.3 days, or 1.33 times that in Yemen.

days a year · CMIP6

Iraq vs Yemen: Days above 35 °CDays above 35 °C in 2014: 143.3 days in Iraq and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 35.3 days, or 1.33 times that in Yemen.
IraqYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iraq at 168.1 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearIraqYemen
2014143.3108
2013143.1108.4
2012142.6108.5
2011142.2109.6
2010139.4106.6
2009138.4106.9
2008141.5104.4
2007139.4101.8
2006140104.3
2005139.3104
2004139.9104.3
2003138.9104.7
2002138.1105.5
2001140104.7
2000140.9104
1999136.7101.7
1998135.3101.6
1997137101
1996137.499.1
1995133.498.7
1994133.696.1
1993130.193.8
1992127.691.4
1991131.5100.4
1990136101
1989135.798.2
1988134.399.5
1987132.297.3
1986135.497
198513195.4
1984129.796.3
1983127.692.3
1982129.495.9
1981132.198.5
1980134.496.5
1979130.496.1
1978129.995.8
1977129.895.5
1976132.695
1975128.293.3
1974129.994.6
1973129.996
1972130.294.7
1971128.392.3
197013091.5
1969131.194
1968127.990.8
1967128.391.5
196612994.6
1965128.690.9
1964129.389.1
196313090.5
1962130.294.2
196113494.4
1960131.195
1959133.894.2
1958131.893.3
1957131.796.3
1956130.793.5
1955129.894.8
1954131.793.4
1953132.993.9
1952133.695.5
1951133.593.3
1950130.295
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqYemen
2015146.5134.9–155.9110.294.8–123.7
2016145.4133.9–160.3110.497.3–122
2017146132.3–158.3110.694.4–122.4
2018146.2132.5–158.8111.994.4–125.7
2019146.8135.9–158.8110.692.7–124.2
2020148.8135.8–160.2111.999.3–125.7
2021146.6135.6–157.1112.198.9–126.5
2022148.4136.8–159.511290.1–127.8
2023149.7138.7–161.4114.796.4–130.2
2024148.6138.1–160.9114.999.4–132.2
2025149.3137.3–161.5113.195.7–129.6
2026147.6136.7–158.3115.394.8–134.1
2027150.9138.6–161.1115.396.6–129.4
2028149.4134.2–162.8115.6100.7–131.6
2029149.1139.1–159.9117.799.6–132.4
2030149.4138.7–161.4119102.7–131.5
2031149.8138.5–163.1119.4102.8–133.5
2032151.3138.1–162.1121104.8–136.1
2033153.3141.2–164.6121.7103.8–137.2
2034151.3139–165.8123.1104.2–139.8
2035152141.2–165.7122.2104.2–136.6
2036150.3136.4–161.5121.6105.4–136.4
2037152.6138.8–165.1121.8107–136.9
2038153.8140.6–166.8123.5109.3–140.2
2039155.8142.5–168.3124.4108.2–139.1
2040156.2144.7–166.4124.5109.7–141.3
2041154.2140.9–163.6124.3104.3–141.3
2042157.4142.7–166.1124.9106.5–142.7
2043156.5139.2–166.1126.2105.4–143
2044155.9146.3–166127.6108–143.1
2045158.2146.5–171.2128.1109.6–146.2
2046156.8145.5–169.4128.3108.5–146.3
2047157.7145.9–169.1127.9110.6–145.9
2048156.8145.8–169130.8111.1–149.5
2049156.1144.3–166.8131.1108.5–149
2050159.3146.2–171133112.8–150
2051160.8148.7–171.4130.7113.4–152.8
2052157.8144.1–169131.6110.6–146.5
2053156.4144.3–169.1131.5113–151.4
2054158.8143.4–175.1131.8110.9–149.6
2055162.7147.9–174.7135.7114.8–152.8
2056156.9143.8–169.1133.8115.7–153.4
2057158.5144.4–172.5135.8120.7–155.1
2058160.7147.3–172.2133.8111.9–152.4
2059158.5145.8–173.2134.2115.3–155.3
2060159.6148–175.7140.1121.7–155.9
2061162.4149.3–172.8138.2118.8–153.4
2062160.3147.2–173.3135.9115.9–160.4
2063162.1146.3–173.4139.9117.9–157.7
2064161.2147.6–172.3139.7118.2–155.7
2065160.4149.2–172.3135.1115.7–157.8
2066159.6149.3–173.8139.5116.6–156.9
2067162.7152.7–179.1141.6118.3–160.3
2068163.1147.4–173.5138.9117.7–161.2
2069163.9149.4–172.1141.4119–157.3
2070165153.2–175.5141.9120.6–161.6
2071163.2151.8–177.8143.6115.7–164.7
2072163.9150.2–174.6140.4119.8–157.6
2073166.2151.5–179.5143.8124.8–163.1
2074163.7147.1–179139.5118.2–162.4
2075163.3148.9–175.3142.5117.4–162.9
2076163148.4–175.1142.8122.6–161.6
2077165.4149.6–178144.4117.3–165.4
2078165151.6–176.3143.5122.8–166.6
2079165.3151.1–177.6144120.4–162.9
2080165.1153.7–177.3143.8119.6–167.9
2081165.4151.8–180.6146.8121.5–166.8
2082165.4151.9–178.4144.4122.4–167.3
2083166.3149.9–178.5144.2121.6–169.3
2084168.8156.7–179.6145.4122.6–167.4
2085164.8153.3–179147.9124.6–168.3
2086168155.9–178.1147121.3–167
2087167.4152.7–179.4148.2125.2–168.4
2088168.3153.6–181.4146.5126.6–169
2089166.3150.5–179.8147.9125.1–169.8
2090165.5150–179.2148.9122.3–169.4
2091166.8154.8–181149.7125.8–170.7
2092167.6155.6–178.5147.1128–170.3
2093168.4156.2–180.5147125.1–169.5
2094169.3158.3–181.6146.1127–166.9
2095166.8154.1–181.1149.8131.2–169.5
2096167.4154.4–181.6148.2124.1–172.3
2097170.5151.7–182.3146.3126.3–169.9
2098166.4152.3–182.3145.2119.7–172.3
2099168.4155.5–179.9149.9128.1–171.7
2100168.1155.5–182.3148.4131.4–169.2

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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