Algeria vs Tunisia

Algeria vs Tunisia: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 37.3 nights, or 1.34 times that in Tunisia.

nights a year · CMIP6

Algeria vs Tunisia: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 37.3 nights, or 1.34 times that in Tunisia.
AlgeriaTunisiaCMIP6 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 177.5 nights and Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaTunisia
2014147.8110.5
2013149.2110.7
2012149.1110
2011149.8108.9
2010148.7109.6
2009146.5106.1
2008148.3108.6
2007146.6106.6
2006146.4107.6
2005145.5105.6
2004146105
2003145105.5
2002144.9103.8
2001144.7101.8
2000144104.5
1999141.4100.1
1998142.2100.1
1997141.4100.1
1996139.699.1
1995137.595.9
199413895
1993135.391.3
1992131.689.9
1991138.798.2
1990141.698.6
1989137.694.7
1988137.394.2
1987136.492.7
1986136.293.7
1985133.490.6
1984135.291.8
1983133.990
1982136.593.9
1981134.793.3
1980133.592.5
197913593.8
1978134.890.2
1977133.388.3
1976133.890.5
197513488.6
197413088.3
1973133.890.5
1972133.391
1971130.888.8
1970128.787.3
1969131.590.1
1968131.388.9
196713187.6
196613187.5
1965127.284.5
1964131.785.7
196313188
1962132.692.7
1961132.488.3
1960134.490.7
1959134.392.2
1958133.891.8
1957134.692.3
1956132.890
1955133.292.7
1954130.289.9
1953130.189.4
1952132.891.8
1951133.791.6
1950131.789.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaTunisia
2015149.7136.5–163.3110.796.9–126.1
2016148.4136.2–163.8111.596.6–130.1
2017155139.3–169.4116.5102.4–131.8
2018154.4138.5–167.4115.999.4–131.9
2019153.9139.9–167.9116.598.5–129.5
2020152.8138.9–166.4113.899.9–130.1
2021156.2142.9–168.2117.4104.1–129.3
2022157.3142.1–173.6119.7103–137.3
2023153.8139.7–166.7118.7102.2–131.9
2024157.2145.1–170.4121107.5–132.6
2025156142.2–170120.2100–134
2026158145.8–170.5122.1110.1–134.5
2027157.9144.9–172119103.6–134.1
2028159.1145.3–170.6121.1104.5–135.4
2029158.6145.9–171121.5110.2–135.8
2030157.3142.8–169.1121.6104–133.4
2031158.9145.5–174.1121.8105.7–134.9
2032162.1151.7–174.9125.2111.6–138.9
2033161.3144.7–173.9124.7107.6–137.5
2034161.5145.2–176.1124.6107–141.7
2035162.6149.6–177.8126.3115.5–142.6
2036161.7149.4–175.3126112.5–141.9
2037161.9147.5–176.4126.5110–140
2038164148–178126.2111.1–139.1
2039163.4147.7–179.3127112.5–142.3
2040163.8149.7–179127.5112.8–144.3
2041162.1147.9–175.2125.5109.1–140.4
2042165.2151.6–180.4129.9114.8–145.8
2043163.7150.7–174.1129.1111.6–142
2044164.1150.7–177.7127.1112.8–141.8
2045166.3153.8–177.7128.5113.8–140.8
2046165.5151.5–178.8128.3109.9–144
2047166.9151.1–182.8131.2113.6–147.5
2048166.9154.5–180.8129.9114.9–142.3
2049166.2153.1–178.7130115.4–143.5
2050168.1152.8–180.9132.3117.6–147.6
2051166.4152.8–181.4130.1112.6–148.6
2052167.9155.5–185.3132.7116.8–146.7
2053167.8153.5–183132.5119.5–149.8
2054169.9154.7–184.1135.2118.4–148.8
2055171.2156.6–185135.1119.2–151.6
2056169.6154.7–185134.8119.6–149.5
2057169.5154.9–186.3131.9118.5–148.6
2058168.8154.9–187.6137.8122.5–156.5
2059171157–188.4134.9117.1–152.5
2060171.7156.6–186.7136.2120.5–150.1
2061174160.5–186.9139119.4–154
2062170154.4–189.1134.9119.1–155.9
2063173.1158.9–187.6138.6119.2–152.5
2064171.3156.5–187.5134.9121.1–152.7
2065172.4158.1–185.8137.1123.3–150.5
2066172.7157.8–189.5136.6119.2–155.1
2067173.3158.5–188138.9124.4–154.3
2068174.6157.3–191.3141.7124.8–159.2
2069174.7158.7–188.1140.3123.5–154.1
2070173.3159.4–186.8137123.6–155.3
2071173.9159.5–192.1140.5123.1–156.1
2072176.4160–191142.6128–154.3
2073175.3160.4–192.4139.3124.7–154.6
2074176.7157.1–191.8140.1123–156.5
2075174.3158.7–193.2139.6124.5–157.1
2076176.3161.3–192.1143.4125.2–158.8
2077175.9160.3–194141.3119.1–158.3
2078180164.9–191.9143127.2–155.9
2079178157.2–194.5144.7123.9–158.5
2080178160.3–192.5143.6123.6–158.7
2081175.3161.2–192.8139.9126.3–158.8
2082177.2160.2–192.3145.5125.9–158.1
2083178.5161.1–195.6143.4124.3–158.7
2084180.1164.6–192.9144.8129.6–159.7
2085179.6159.9–197.5145.3124.7–159.5
2086179.8163.9–196.8144.7129.5–162.7
2087179160.6–195.3144125.7–159.2
2088179.3163.3–198.8147.3127.2–165.4
2089178.9163.6–197.4142.7125.3–164.8
2090180.5161.9–196.8145.2126.3–165.1
2091179.6164.9–197.5144.9127.4–164.4
2092181.6164.7–195.6148.2126.3–161.1
2093181.1162.6–199.4146.9127.2–165.6
2094180.6164.4–193.7145.7126.8–160.4
2095181.1164.5–195.8145.5125.4–161.5
2096180.7165.8–199.4146.3130–169.4
2097178.3162.2–193.1144.6125.7–160.6
2098180.4164.5–198.3147129.6–161.9
2099182165.3–199.3145.8130.3–163.7
2100177.5163.3–199.1143.8124.8–163.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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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