Algeria vs Israel

Algeria vs Israel: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 49.9 nights, or 1.51 times that in Israel.

nights a year · CMIP6

Algeria vs Israel: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 49.9 nights, or 1.51 times that in Israel.
AlgeriaIsraelCMIP6 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 Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaIsrael
2014147.897.9
2013149.298
2012149.196.3
2011149.896.1
2010148.795.5
2009146.592.5
2008148.394.1
2007146.692.7
2006146.492
2005145.592.3
200414690.7
200314593.9
2002144.989.5
2001144.791
200014489.5
1999141.486.2
1998142.284.8
1997141.484.2
1996139.683.7
1995137.579.3
199413880.1
1993135.371.6
1992131.674.9
1991138.778.4
1990141.680.2
1989137.676.9
1988137.376.5
1987136.475.1
1986136.278.3
1985133.474
1984135.269.4
1983133.968.9
1982136.573.5
1981134.773.5
1980133.575.3
197913568.7
1978134.871.6
1977133.372.3
1976133.873.2
197513470.9
197413072.5
1973133.871.9
1972133.369.9
1971130.873.1
1970128.771.6
1969131.570.6
1968131.369.6
196713166.9
196613168.8
1965127.263.5
1964131.766.1
196313170.9
1962132.673
1961132.471.5
1960134.474.9
1959134.375
1958133.873
1957134.674.8
1956132.874.3
1955133.272.8
1954130.271.4
1953130.173.7
1952132.872
1951133.775.1
1950131.769.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaIsrael
2015149.7136.5–163.3105.988.4–122.7
2016148.4136.2–163.8104.186.9–120.1
2017155139.3–169.4107.892.2–121.4
2018154.4138.5–167.410993.8–124.2
2019153.9139.9–167.910989.1–124.5
2020152.8138.9–166.4111.594.8–123.5
2021156.2142.9–168.211097.7–128.4
2022157.3142.1–173.6111.493.6–130.2
2023153.8139.7–166.7117.297.9–130.5
2024157.2145.1–170.4114.5100.4–127.3
2025156142.2–170116.698.3–129.2
2026158145.8–170.5115.9104.9–126.2
2027157.9144.9–172115.699–127.1
2028159.1145.3–170.6116.3100.2–127.9
2029158.6145.9–171117103.1–129.2
2030157.3142.8–169.1118.6102.1–131.2
2031158.9145.5–174.1116.8104.4–132.8
2032162.1151.7–174.9121.4106.5–134.7
2033161.3144.7–173.9122.1108.9–134.7
2034161.5145.2–176.1119.7103.1–133.4
2035162.6149.6–177.8122.8105.8–138.8
2036161.7149.4–175.3120.2105.5–136.2
2037161.9147.5–176.4121.6106.3–139.4
2038164148–178126.5105.7–142.1
2039163.4147.7–179.3127.7110.5–147.1
2040163.8149.7–179124.2109.7–144.9
2041162.1147.9–175.2126108.4–141.5
2042165.2151.6–180.4128.5105.8–144.3
2043163.7150.7–174.1126.5111.8–144.3
2044164.1150.7–177.7125.9108.5–142.9
2045166.3153.8–177.7130.9117.5–148.6
2046165.5151.5–178.8131114.4–147.2
2047166.9151.1–182.8132.3116.1–145.4
2048166.9154.5–180.8129.9118.5–146.9
2049166.2153.1–178.7127.9108.7–143.9
2050168.1152.8–180.9133.3114.3–147
2051166.4152.8–181.4130.3116.7–143.9
2052167.9155.5–185.3130.3119.9–143.5
2053167.8153.5–183135120.4–149.7
2054169.9154.7–184.1134.1118.8–149.3
2055171.2156.6–185134.1115.2–150.3
2056169.6154.7–185136110.1–151.1
2057169.5154.9–186.3132.7110.9–155
2058168.8154.9–187.6135.7119.1–155.4
2059171157–188.4138.8118.5–156.7
2060171.7156.6–186.7136.1116.3–159.2
2061174160.5–186.9136119–150.7
2062170154.4–189.1139118.7–156
2063173.1158.9–187.6137.4120.1–151.2
2064171.3156.5–187.5139.3121–154.3
2065172.4158.1–185.8139.6122.3–154.3
2066172.7157.8–189.5137.3119.6–153.7
2067173.3158.5–188142.8126–157.8
2068174.6157.3–191.3141.2122.8–156.4
2069174.7158.7–188.1141.5123.7–157.6
2070173.3159.4–186.8141.8120.5–157.5
2071173.9159.5–192.1142.9124.3–161.8
2072176.4160–191144.3127–158.5
2073175.3160.4–192.4143.6127.3–159.2
2074176.7157.1–191.8138.8123–162.2
2075174.3158.7–193.2138.1120.8–154.6
2076176.3161.3–192.1143.2126.8–161.5
2077175.9160.3–194142.8120.5–161.6
2078180164.9–191.9143.6128.2–160.6
2079178157.2–194.5148.6123.7–160.2
2080178160.3–192.5145.5123.5–163.7
2081175.3161.2–192.8143.7128.1–161.2
2082177.2160.2–192.3145.8129.5–160.6
2083178.5161.1–195.6149.4126–163.1
2084180.1164.6–192.9148128.2–164
2085179.6159.9–197.5149127.9–162.4
2086179.8163.9–196.8148127.4–167.1
2087179160.6–195.3146.4123.7–165.7
2088179.3163.3–198.8147.6133.5–165.3
2089178.9163.6–197.4148.4131.4–169.1
2090180.5161.9–196.8147.6132.4–168.8
2091179.6164.9–197.5151.9131.7–170.6
2092181.6164.7–195.6148.2132–167.4
2093181.1162.6–199.4154.1135.3–172.2
2094180.6164.4–193.7153.2133.6–170.3
2095181.1164.5–195.8148.2131.4–164.1
2096180.7165.8–199.4150.5130.5–172.6
2097178.3162.2–193.1149.8134.4–172.7
2098180.4164.5–198.3150.9131.3–170.1
2099182165.3–199.3149.5129–166.6
2100177.5163.3–199.1149.4130.1–168.5

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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