Algeria vs Libya

Algeria vs Libya: Days above 35 °C

Days above 35 °C in 2014: 133.9 days in Algeria and 106.9 days in Libya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 27 days, or 1.25 times that in Libya.

days a year · CMIP6

Algeria vs Libya: Days above 35 °CDays above 35 °C in 2014: 133.9 days in Algeria and 106.9 days in Libya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 27 days, or 1.25 times that in Libya.
AlgeriaLibyaCMIP6 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 Libya at 151 days in 2100.

Every year

days a year · CMIP6

YearAlgeriaLibya
2014133.9106.9
2013135.3109
2012135.9109.5
2011134.5111
2010135.4110.2
2009133.1105.7
2008134107.5
2007131.6104.1
2006132105.6
2005130.7102.8
2004131.2103.9
2003131.2105.3
2002131.5102.9
2001130102.6
2000129.799.8
1999126.997.2
1998128.394.6
1997128.196.4
1996124.794.9
1995122.594.4
1994122.989.4
1993120.985.8
1992117.187.4
1991125.595.2
1990128.494
1989122.891.2
1988124.387
198712285.2
1986123.292.8
1985118.686.6
1984119.881
198312081.7
198212384
198112189.3
1980121.591.7
1979122.583.2
1978120.286.2
1977118.980.4
1976120.785.7
1975119.381
1974115.879
197312083.3
1972119.682.8
1971117.980.3
197011783.4
1969119.979.4
1968117.882
1967117.479.9
1966118.878.8
196511475.3
1964117.274.4
1963117.782.6
1962118.980.4
1961121.481.7
1960122.188.1
195912386.3
1958121.383.1
195712384.4
1956118.481.7
1955120.881.7
1954119.276.7
1953119.384.9
1952120.982.8
1951121.680.8
1950118.878.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaLibya
2015135.9121.1–152.4114.492.9–131.3
2016135.7120.4–153114.298.3–130.2
2017140.4125.5–15511797.9–133.1
2018139.3122.3–154.2112.295.8–130.1
2019140124.6–155.9117.392.5–130.7
2020138.3121.7–153.611799–131.3
2021141.6129.6–154.5117.2103.4–133.7
2022143.9128.1–161.8120.1103.9–139.1
2023140.2123.9–153.2117.1101.9–132.1
2024143.7129.8–159.1122.2106.3–139.8
2025141.9126–156.9122104.8–138.3
2026143.8129.1–157.5121.7108.1–136
2027142.3126.9–159.3119.199.1–133.5
2028144.7131.2–157.9122.5103–139.4
2029143.8131.2–156.7122.8105.2–137.8
2030143.4128.4–155.9122.7104.1–136.7
2031144.2131–158.4121.7106.1–138
2032148.7135.6–162.3127.5113.3–143.5
2033147.1130.5–159.3128108.7–141.1
2034148131.6–162.1127.3109.8–142.6
2035148.8135.2–162.2126.8110–144.9
2036147.4133–161.5124.3109–140.5
2037147.7132.8–162.8126.6110.8–141.6
2038148.9132–164.6129.3113.7–146.9
2039149.5133.3–165.7129.1105.3–150.4
2040150.8134.8–165.1133.3116.2–148.8
2041148.3133.3–162.3130.6113.2–146
2042152.4137.3–168134.4112.3–151.1
2043149.3136.3–162.3130.9117–144.3
2044150.2134.7–164.5129.1111.3–147.6
2045151.5137.5–164.7133.5116.4–146.9
2046151.1135.9–165.8135.3115.2–150.1
2047152.7137.2–169.5133.6119.3–151.4
2048153.2137.5–168.2134.9116.6–149
2049152138.1–166.5131.7110.9–150
2050153.3138.8–167.1134.6119.7–150.5
2051152.8139.2–167.9133.1117.4–147.7
2052154.8141.8–172.3136.9123.5–152.7
2053155.5140.4–171.9135.1120.6–151.1
2054156.8141.1–170.8136.3119–153.8
2055158.2142.7–173.3139.1119.5–152.9
2056156141.1–171.6134.1116.3–153.2
2057156.1141.8–172.7135.3117.6–156.7
2058154.5140.9–174.7139.8121.6–157.2
2059157.2142–174.5141.4122.4–159.8
2060159.2144–174.7140.8119.7–157.4
2061159.5145–172.5138.7123.1–156.2
2062158.3141–177.3140.5122.3–155.7
2063159.9146.1–173.7137.1121.2–150.4
2064158.6145.7–173.7142.1122.9–159
2065160.2145.1–172.3143121.8–158.5
2066158.8142–175135.1116.7–158.5
2067159.5143–175.9145.8125.7–160.8
2068161.3144.4–178.2145.9123.5–164.8
2069162.3145.1–175.5144.1125.1–158.9
2070160.4145.7–174.4144.3123.2–162.5
2071160.6145.4–178.6143.2123.6–163
2072162.8146.3–177.9147.2126.3–162.4
2073162.7145.2–178.5142.2126–159.4
2074163.9144–177.8138.7120.7–158.1
2075160.4144.1–180.4141.5123–162.4
2076163.3147.8–178.9147.6123.3–164.4
2077162.4144.3–180.7148.1121.6–161.8
2078165.9149.6–179.1148.3132.4–161.7
2079164.3144.9–182.4147.6127.6–164.2
2080165146.2–179.5147.8122.3–164.3
2081162.1147.7–180.9144.1125.7–159.2
2082164.9147.1–180.4147.3127.4–166.1
2083164146.8–181.5145125.9–166.7
2084166.2149.7–182.4151.9128.8–168
2085167.2147.2–184.4147.4129.2–164.4
2086165.3149.1–183.2150.5131.2–164.5
2087164.7145.7–182.9144.2120–164.9
2088167.4149.3–185.4149.4129.3–165.8
2089165.7150.6–183.5147.6129.3–169.3
2090166.6145.7–182.2147.5127.6–165.2
2091166.2151.4–181.9153.4133.6–167.6
2092167.3150.5–181.6150.6130.9–166.7
2093166.7149.5–183.8151.2133.9–167.5
2094166.3149.9–181.5150.5131.4–165.1
2095165.9149.1–181.2150.8132–167.9
2096167.6151.7–184.1148.7133.1–166.2
2097163.7150.4–179.7148.4133.1–162.5
2098167.4151.6–183.7146.3130.8–165.7
2099169.7151.3–185.2149.3133.2–168.8
2100164.2148.5–185.5151129.7–169.9

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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