Algeria vs Jordan

Algeria vs Jordan: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 73.2 nights, or 1.98 times that in Jordan.

nights a year · CMIP6

Algeria vs Jordan: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 73.2 nights, or 1.98 times that in Jordan.
AlgeriaJordanCMIP6 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 Jordan at 131.7 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaJordan
2014147.874.7
2013149.272.2
2012149.171.9
2011149.871.4
2010148.771.4
2009146.566.9
2008148.369.4
2007146.664.6
2006146.467.7
2005145.566.2
200414667.4
200314568.2
2002144.963
2001144.768.3
200014463.8
1999141.462.2
1998142.261.8
1997141.459.2
1996139.656.6
1995137.554.1
199413854.6
1993135.345.2
1992131.648.3
1991138.752.3
1990141.657.7
1989137.653.4
1988137.350.5
1987136.449.5
1986136.252
1985133.447.1
1984135.244.2
1983133.941.5
1982136.547.4
1981134.748.3
1980133.549.2
197913541.8
1978134.845.1
1977133.346.7
1976133.845.6
197513443
197413045.1
1973133.844.6
1972133.344.8
1971130.847.2
1970128.744.3
1969131.546.3
1968131.342.6
196713141.5
196613143
1965127.236.8
1964131.737.7
196313143
1962132.645
1961132.445.4
1960134.446.3
1959134.346.3
1958133.847.2
1957134.648.7
1956132.848.4
1955133.245.5
1954130.242.7
1953130.147.8
1952132.845.7
1951133.745
1950131.741.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaJordan
2015149.7136.5–163.381.862.6–98.9
2016148.4136.2–163.879.261.3–95.2
2017155139.3–169.482.466.3–96.6
2018154.4138.5–167.484.868.8–102.1
2019153.9139.9–167.987.467.5–100.7
2020152.8138.9–166.486.866.8–102.2
2021156.2142.9–168.288.273.8–101.1
2022157.3142.1–173.688.170–103.7
2023153.8139.7–166.792.474.7–106.4
2024157.2145.1–170.490.776.3–107.1
2025156142.2–17094.173.1–105.2
2026158145.8–170.591.678.6–106.9
2027157.9144.9–17294.475.7–108.4
2028159.1145.3–170.692.675.9–106.3
2029158.6145.9–17195.381.2–107.3
2030157.3142.8–169.196.381.5–111.7
2031158.9145.5–174.193.876.5–110.6
2032162.1151.7–174.910086.4–110.9
2033161.3144.7–173.9100.683.6–113.6
2034161.5145.2–176.198.882.4–112.3
2035162.6149.6–177.8101.883.2–115.2
2036161.7149.4–175.397.885.1–116.2
2037161.9147.5–176.410384.6–117.8
2038164148–178102.386.1–122.6
2039163.4147.7–179.3107.190.5–125.7
2040163.8149.7–179106.387.8–125.5
2041162.1147.9–175.2103.787.8–123.2
2042165.2151.6–180.4108.586.5–122.3
2043163.7150.7–174.1105.791–124.9
2044164.1150.7–177.7105.682.8–125.1
2045166.3153.8–177.711298.8–128
2046165.5151.5–178.811395.5–127.5
2047166.9151.1–182.8112.293–125.7
2048166.9154.5–180.8111.893.7–129.7
2049166.2153.1–178.7110.384.7–125.6
2050168.1152.8–180.9112.495.9–127.2
2051166.4152.8–181.4112.397–125.6
2052167.9155.5–185.3110.697.4–125.9
2053167.8153.5–183113.798.2–129.9
2054169.9154.7–184.1115.492.5–130.9
2055171.2156.6–185115.794.8–130.2
2056169.6154.7–185115.394.2–130.5
2057169.5154.9–186.3115.496.7–135.6
2058168.8154.9–187.6116.196.6–136.8
2059171157–188.4120.998.5–137.1
2060171.7156.6–186.7115.898.7–138.7
2061174160.5–186.9118.897.1–132.3
2062170154.4–189.112091.6–136.4
2063173.1158.9–187.6118.7101.7–135.9
2064171.3156.5–187.5121.4103.3–135.9
2065172.4158.1–185.8120.2100.4–134.9
2066172.7157.8–189.5120.498.5–135
2067173.3158.5–188124106.1–139.5
2068174.6157.3–191.3123.2105.3–138.1
2069174.7158.7–188.1118.8105.4–137.2
2070173.3159.4–186.8123104–140.8
2071173.9159.5–192.1123.6103.8–144.3
2072176.4160–191124.5106.3–140.9
2073175.3160.4–192.4126.6104.8–144.4
2074176.7157.1–191.8120.9103–139.6
2075174.3158.7–193.2121.7103.1–138.1
2076176.3161.3–192.1124.1105.4–144.2
2077175.9160.3–194124.2105.3–143.9
2078180164.9–191.9124.7105.6–142.8
2079178157.2–194.5132107–143.6
2080178160.3–192.5128.9106.2–144.4
2081175.3161.2–192.8125.3108.7–144.8
2082177.2160.2–192.3128107.9–145.2
2083178.5161.1–195.6130.9108–144.7
2084180.1164.6–192.9130.5110.6–145
2085179.6159.9–197.5129.1108.8–141.7
2086179.8163.9–196.8127.5108.9–147.6
2087179160.6–195.3129.8106.1–148.4
2088179.3163.3–198.8132.2114.9–149.4
2089178.9163.6–197.4128.7113.4–148.5
2090180.5161.9–196.8128.2111.9–151.3
2091179.6164.9–197.5132.8112.5–152.1
2092181.6164.7–195.6130.6108.3–152.6
2093181.1162.6–199.4135.8116.2–154.4
2094180.6164.4–193.7135.9116.3–150.6
2095181.1164.5–195.8133112.7–149.6
2096180.7165.8–199.4130.4108.1–151.3
2097178.3162.2–193.1134.5113.5–155.4
2098180.4164.5–198.3132.5114.9–152.3
2099182165.3–199.3132.1115.3–145.3
2100177.5163.3–199.1131.7111.2–153.1

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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