Algeria vs Yemen

Algeria vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 133.9 days in Algeria and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 25.9 days, or 1.24 times that in Yemen.

days a year · CMIP6

Algeria vs Yemen: Days above 35 °CDays above 35 °C in 2014: 133.9 days in Algeria and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 25.9 days, or 1.24 times that in Yemen.
AlgeriaYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Algeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Algeria at 164.2 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearAlgeriaYemen
2014133.9108
2013135.3108.4
2012135.9108.5
2011134.5109.6
2010135.4106.6
2009133.1106.9
2008134104.4
2007131.6101.8
2006132104.3
2005130.7104
2004131.2104.3
2003131.2104.7
2002131.5105.5
2001130104.7
2000129.7104
1999126.9101.7
1998128.3101.6
1997128.1101
1996124.799.1
1995122.598.7
1994122.996.1
1993120.993.8
1992117.191.4
1991125.5100.4
1990128.4101
1989122.898.2
1988124.399.5
198712297.3
1986123.297
1985118.695.4
1984119.896.3
198312092.3
198212395.9
198112198.5
1980121.596.5
1979122.596.1
1978120.295.8
1977118.995.5
1976120.795
1975119.393.3
1974115.894.6
197312096
1972119.694.7
1971117.992.3
197011791.5
1969119.994
1968117.890.8
1967117.491.5
1966118.894.6
196511490.9
1964117.289.1
1963117.790.5
1962118.994.2
1961121.494.4
1960122.195
195912394.2
1958121.393.3
195712396.3
1956118.493.5
1955120.894.8
1954119.293.4
1953119.393.9
1952120.995.5
1951121.693.3
1950118.895
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaYemen
2015135.9121.1–152.4110.294.8–123.7
2016135.7120.4–153110.497.3–122
2017140.4125.5–155110.694.4–122.4
2018139.3122.3–154.2111.994.4–125.7
2019140124.6–155.9110.692.7–124.2
2020138.3121.7–153.6111.999.3–125.7
2021141.6129.6–154.5112.198.9–126.5
2022143.9128.1–161.811290.1–127.8
2023140.2123.9–153.2114.796.4–130.2
2024143.7129.8–159.1114.999.4–132.2
2025141.9126–156.9113.195.7–129.6
2026143.8129.1–157.5115.394.8–134.1
2027142.3126.9–159.3115.396.6–129.4
2028144.7131.2–157.9115.6100.7–131.6
2029143.8131.2–156.7117.799.6–132.4
2030143.4128.4–155.9119102.7–131.5
2031144.2131–158.4119.4102.8–133.5
2032148.7135.6–162.3121104.8–136.1
2033147.1130.5–159.3121.7103.8–137.2
2034148131.6–162.1123.1104.2–139.8
2035148.8135.2–162.2122.2104.2–136.6
2036147.4133–161.5121.6105.4–136.4
2037147.7132.8–162.8121.8107–136.9
2038148.9132–164.6123.5109.3–140.2
2039149.5133.3–165.7124.4108.2–139.1
2040150.8134.8–165.1124.5109.7–141.3
2041148.3133.3–162.3124.3104.3–141.3
2042152.4137.3–168124.9106.5–142.7
2043149.3136.3–162.3126.2105.4–143
2044150.2134.7–164.5127.6108–143.1
2045151.5137.5–164.7128.1109.6–146.2
2046151.1135.9–165.8128.3108.5–146.3
2047152.7137.2–169.5127.9110.6–145.9
2048153.2137.5–168.2130.8111.1–149.5
2049152138.1–166.5131.1108.5–149
2050153.3138.8–167.1133112.8–150
2051152.8139.2–167.9130.7113.4–152.8
2052154.8141.8–172.3131.6110.6–146.5
2053155.5140.4–171.9131.5113–151.4
2054156.8141.1–170.8131.8110.9–149.6
2055158.2142.7–173.3135.7114.8–152.8
2056156141.1–171.6133.8115.7–153.4
2057156.1141.8–172.7135.8120.7–155.1
2058154.5140.9–174.7133.8111.9–152.4
2059157.2142–174.5134.2115.3–155.3
2060159.2144–174.7140.1121.7–155.9
2061159.5145–172.5138.2118.8–153.4
2062158.3141–177.3135.9115.9–160.4
2063159.9146.1–173.7139.9117.9–157.7
2064158.6145.7–173.7139.7118.2–155.7
2065160.2145.1–172.3135.1115.7–157.8
2066158.8142–175139.5116.6–156.9
2067159.5143–175.9141.6118.3–160.3
2068161.3144.4–178.2138.9117.7–161.2
2069162.3145.1–175.5141.4119–157.3
2070160.4145.7–174.4141.9120.6–161.6
2071160.6145.4–178.6143.6115.7–164.7
2072162.8146.3–177.9140.4119.8–157.6
2073162.7145.2–178.5143.8124.8–163.1
2074163.9144–177.8139.5118.2–162.4
2075160.4144.1–180.4142.5117.4–162.9
2076163.3147.8–178.9142.8122.6–161.6
2077162.4144.3–180.7144.4117.3–165.4
2078165.9149.6–179.1143.5122.8–166.6
2079164.3144.9–182.4144120.4–162.9
2080165146.2–179.5143.8119.6–167.9
2081162.1147.7–180.9146.8121.5–166.8
2082164.9147.1–180.4144.4122.4–167.3
2083164146.8–181.5144.2121.6–169.3
2084166.2149.7–182.4145.4122.6–167.4
2085167.2147.2–184.4147.9124.6–168.3
2086165.3149.1–183.2147121.3–167
2087164.7145.7–182.9148.2125.2–168.4
2088167.4149.3–185.4146.5126.6–169
2089165.7150.6–183.5147.9125.1–169.8
2090166.6145.7–182.2148.9122.3–169.4
2091166.2151.4–181.9149.7125.8–170.7
2092167.3150.5–181.6147.1128–170.3
2093166.7149.5–183.8147125.1–169.5
2094166.3149.9–181.5146.1127–166.9
2095165.9149.1–181.2149.8131.2–169.5
2096167.6151.7–184.1148.2124.1–172.3
2097163.7150.4–179.7146.3126.3–169.9
2098167.4151.6–183.7145.2119.7–172.3
2099169.7151.3–185.2149.9128.1–171.7
2100164.2148.5–185.5148.4131.4–169.2

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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