Algeria vs Saudi Arabia

Algeria vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 33.7 nights, or 1.23 times that in Algeria.

Watch it change on the map

nights a year · CMIP6

Algeria vs Saudi Arabia: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 33.7 nights, or 1.23 times that in Algeria.
AlgeriaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaSaudi Arabia
2014147.8181.5
2013149.2180.4
2012149.1182.8
2011149.8182.7
2010148.7179.2
2009146.5177.1
2008148.3180.3
2007146.6178.9
2006146.4177.5
2005145.5177.9
2004146177.6
2003145177.4
2002144.9175.6
2001144.7178.1
2000144176.4
1999141.4173.2
1998142.2173.4
1997141.4173.8
1996139.6172
1995137.5169.2
1994138170.4
1993135.3164.6
1992131.6165.9
1991138.7169.2
1990141.6172.7
1989137.6168.9
1988137.3166.8
1987136.4167.3
1986136.2169.4
1985133.4166
1984135.2165
1983133.9163.5
1982136.5164.7
1981134.7168.9
1980133.5166.8
1979135165.3
1978134.8164.8
1977133.3165.6
1976133.8165.9
1975134161.2
1974130162.9
1973133.8163.7
1972133.3163.7
1971130.8160.4
1970128.7162.5
1969131.5161.3
1968131.3162.7
1967131159.5
1966131159.5
1965127.2159.5
1964131.7159.9
1963131160.2
1962132.6163.2
1961132.4163.7
1960134.4165.7
1959134.3164.4
1958133.8164.1
1957134.6165.5
1956132.8163.6
1955133.2162
1954130.2161.2
1953130.1162.5
1952132.8163.4
1951133.7161.2
1950131.7161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaSaudi Arabia
2015149.7136.5–163.3184.9169.4–198.7
2016148.4136.2–163.8183167.7–195.7
2017155139.3–169.4182.6168.1–196.7
2018154.4138.5–167.4186.8173.1–199.4
2019153.9139.9–167.9184.1168.8–199.1
2020152.8138.9–166.4185.3171.8–198.9
2021156.2142.9–168.2188.6173.6–202.8
2022157.3142.1–173.6187.6170.7–202
2023153.8139.7–166.7188.6173–203.8
2024157.2145.1–170.4187.1172.9–203.9
2025156142.2–170191.5176–206.1
2026158145.8–170.5191.8177.1–205.5
2027157.9144.9–172191.2176.6–206.8
2028159.1145.3–170.6191.9175.5–205.1
2029158.6145.9–171192.2176.6–205.7
2030157.3142.8–169.1193.3178.4–206.3
2031158.9145.5–174.1194.7179.1–207.6
2032162.1151.7–174.9192.2175.2–206
2033161.3144.7–173.9192.6177.5–206.9
2034161.5145.2–176.1196.7181.6–213
2035162.6149.6–177.8196.5179.9–211.6
2036161.7149.4–175.3194.1180–209.7
2037161.9147.5–176.4197183.7–209.9
2038164148–178198.4182.3–213.3
2039163.4147.7–179.3198184.4–213.6
2040163.8149.7–179199.2182.1–212.7
2041162.1147.9–175.2197.7181.4–211.7
2042165.2151.6–180.4198.3181.2–217
2043163.7150.7–174.1198.2182.3–215.3
2044164.1150.7–177.7199.2185.5–213.5
2045166.3153.8–177.7202187.1–216.8
2046165.5151.5–178.8204.1185.3–219.4
2047166.9151.1–182.8204.1187.4–220
2048166.9154.5–180.8206.1190.7–220
2049166.2153.1–178.7201.6187.7–216.2
2050168.1152.8–180.9205.7190.2–219.3
2051166.4152.8–181.4204.3188.8–222.1
2052167.9155.5–185.3203.8189.6–218
2053167.8153.5–183203.8186.3–218.8
2054169.9154.7–184.1207.6188.3–222.3
2055171.2156.6–185207.8190.8–221
2056169.6154.7–185203.7186.6–220.1
2057169.5154.9–186.3207.5188.8–224.2
2058168.8154.9–187.6205.9189.2–221.4
2059171157–188.4207.3191.6–226.9
2060171.7156.6–186.7206.9192.7–222.8
2061174160.5–186.9206.5190.4–220.9
2062170154.4–189.1208.1189.4–228.3
2063173.1158.9–187.6210.4193–227.1
2064171.3156.5–187.5207.5191.9–223.3
2065172.4158.1–185.8208.9193.9–226.1
2066172.7157.8–189.5210.3194.9–228
2067173.3158.5–188210.9193.1–228.6
2068174.6157.3–191.3209.8194.6–228.6
2069174.7158.7–188.1208.9194.5–226.3
2070173.3159.4–186.8211.2191.2–229
2071173.9159.5–192.1215.1196.3–233.3
2072176.4160–191213.6195.3–229.3
2073175.3160.4–192.4213.7194.1–231.6
2074176.7157.1–191.8210.5191.9–229.3
2075174.3158.7–193.2212.1196.6–231.8
2076176.3161.3–192.1212.8194.8–230.3
2077175.9160.3–194215.1196.6–233.9
2078180164.9–191.9215.5197.6–230.7
2079178157.2–194.5213.6197–229
2080178160.3–192.5213.6197.1–233.9
2081175.3161.2–192.8214.7194.4–231.6
2082177.2160.2–192.3214198.9–230.9
2083178.5161.1–195.6214.2198.5–238
2084180.1164.6–192.9217.4197.4–233.1
2085179.6159.9–197.5217.4199.6–237.9
2086179.8163.9–196.8217197.4–237.4
2087179160.6–195.3217.3199.7–238.7
2088179.3163.3–198.8216.1198.2–243.1
2089178.9163.6–197.4217.6199.5–239
2090180.5161.9–196.8217.3198.5–239.2
2091179.6164.9–197.5218.5202.8–238.4
2092181.6164.7–195.6218.5198.5–241.6
2093181.1162.6–199.4216.6197.8–236.3
2094180.6164.4–193.7218.8202–236.9
2095181.1164.5–195.8219.4204.2–237.4
2096180.7165.8–199.4219.9197.7–239.6
2097178.3162.2–193.1216.7196.8–239.7
2098180.4164.5–198.3219.7199.6–241.3
2099182165.3–199.3216.8200.8–236.8
2100177.5163.3–199.1218.7202.3–241

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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