Algeria vs Syria

Algeria vs Syria: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 58.2 nights, or 1.65 times that in Syria.

nights a year · CMIP6

Algeria vs Syria: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 58.2 nights, or 1.65 times that in Syria.
AlgeriaSyriaCMIP6 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 Syria at 133.8 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaSyria
2014147.889.6
2013149.290.8
2012149.191.2
2011149.889.6
2010148.788.1
2009146.586.2
2008148.387.9
2007146.685
2006146.487.3
2005145.585.3
200414686.7
200314586.7
2002144.984.3
2001144.785.9
200014483.2
1999141.482.1
1998142.280.5
1997141.480.5
1996139.678.1
1995137.575.8
199413876.7
1993135.371.5
1992131.671.3
1991138.775.5
1990141.679.3
1989137.675.7
1988137.376.2
1987136.473
1986136.276
1985133.472.6
1984135.269.6
1983133.967.9
1982136.572
1981134.772
1980133.575
197913567.7
1978134.870.2
1977133.370.1
1976133.873.4
197513469
197413070
1973133.870.7
1972133.370.1
1971130.870.7
1970128.770.9
1969131.571.3
1968131.368.7
196713168.8
196613168.8
1965127.264.3
1964131.766.4
196313169.1
1962132.671.5
1961132.470.8
1960134.471.7
1959134.372.7
1958133.872.8
1957134.672.6
1956132.872.2
1955133.270.3
1954130.268.9
1953130.172.2
1952132.870.8
1951133.772.4
1950131.768.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaSyria
2015149.7136.5–163.396.981.9–110.9
2016148.4136.2–163.893.581.2–108.2
2017155139.3–169.49782.1–109.5
2018154.4138.5–167.497.785.9–111
2019153.9139.9–167.998.983.7–111.2
2020152.8138.9–166.498.683.7–112.6
2021156.2142.9–168.210087.1–110.7
2022157.3142.1–173.6101.684.9–113.2
2023153.8139.7–166.7101.988.3–115.3
2024157.2145.1–170.4102.790.7–113.8
2025156142.2–170102.988.6–114.2
2026158145.8–170.5103.389.5–116.1
2027157.9144.9–172103.886.7–116.5
2028159.1145.3–170.6103.589.2–116.4
2029158.6145.9–171105.694–116.3
2030157.3142.8–169.1105.991.3–119.2
2031158.9145.5–174.1105.190.7–116
2032162.1151.7–174.9107.893.2–119.4
2033161.3144.7–173.9108.796.6–119.1
2034161.5145.2–176.1107.593.9–119
2035162.6149.6–177.8108.596.3–118.3
2036161.7149.4–175.3105.793.2–118.7
2037161.9147.5–176.4109.294.8–121.9
2038164148–178111.897.8–125.5
2039163.4147.7–179.3112.398.9–128
2040163.8149.7–179111.898.5–127.5
2041162.1147.9–175.2110.799.1–124.5
2042165.2151.6–180.4112.996.4–126.5
2043163.7150.7–174.1113.199.7–127.3
2044164.1150.7–177.7112.599.8–128.8
2045166.3153.8–177.7118.4105.5–131.3
2046165.5151.5–178.8117.2104.7–129
2047166.9151.1–182.8114.9100.6–129.1
2048166.9154.5–180.8114.3101.2–130.8
2049166.2153.1–178.711499.3–128.9
2050168.1152.8–180.9116.8104.6–132.7
2051166.4152.8–181.4117.7105.5–129
2052167.9155.5–185.3116.2103.9–128.2
2053167.8153.5–183119.1105.2–131.3
2054169.9154.7–184.1119.7102.7–135.5
2055171.2156.6–185120.8104.3–134.2
2056169.6154.7–185119.799.9–132.9
2057169.5154.9–186.3120.6102.3–137.1
2058168.8154.9–187.6120.1103.1–136.5
2059171157–188.4123.5107.4–137.2
2060171.7156.6–186.7119.6106.4–140.3
2061174160.5–186.9122.8103.9–136.1
2062170154.4–189.1121.8104.3–136.5
2063173.1158.9–187.6122.1106.2–136.7
2064171.3156.5–187.5124.3108.4–136.6
2065172.4158.1–185.8123.7108.9–138.7
2066172.7157.8–189.5122.1104.4–136.2
2067173.3158.5–188126111.1–142.7
2068174.6157.3–191.3126.8112.1–140.3
2069174.7158.7–188.1123107.9–137.3
2070173.3159.4–186.8126.5110.3–139.4
2071173.9159.5–192.1126109.5–142.8
2072176.4160–191128111.8–141.9
2073175.3160.4–192.4127.6108–143.7
2074176.7157.1–191.8124.2107–139.7
2075174.3158.7–193.2124.7109.2–140.6
2076176.3161.3–192.1126.6109.8–140.8
2077175.9160.3–194127.5109–143.3
2078180164.9–191.9127.2113.3–141.8
2079178157.2–194.5132.9116–146.9
2080178160.3–192.5129111.8–144.3
2081175.3161.2–192.8127.6112.5–145.6
2082177.2160.2–192.3129.1111.3–143.8
2083178.5161.1–195.6133.2110.3–144.1
2084180.1164.6–192.9132.2111–145.1
2085179.6159.9–197.5130.9112.7–143.3
2086179.8163.9–196.8130.9112.6–146.5
2087179160.6–195.3129.6109.8–148.7
2088179.3163.3–198.8132.5116.9–146.5
2089178.9163.6–197.4130.4115.3–148.4
2090180.5161.9–196.8128.9115–145.8
2091179.6164.9–197.5133.4116–150.3
2092181.6164.7–195.6131.6115.3–149
2093181.1162.6–199.4135119.8–151
2094180.6164.4–193.7134118–148.5
2095181.1164.5–195.8134.3117.3–148.9
2096180.7165.8–199.4131.5113.7–148.7
2097178.3162.2–193.1136.2112.7–154.1
2098180.4164.5–198.3131.5115.2–152.2
2099182165.3–199.3132.8116–145.1
2100177.5163.3–199.1133.8113.2–152.2

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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