Saudi Arabia vs Tunisia

Saudi Arabia vs Tunisia: Tropical nights

Tropical nights in 2014: 181.5 nights in Saudi Arabia and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 71 nights, or 1.64 times that in Tunisia.

Watch it change on the map

nights a year · CMIP6

Saudi Arabia vs Tunisia: Tropical nightsTropical nights in 2014: 181.5 nights in Saudi Arabia and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 71 nights, or 1.64 times that in Tunisia.
Saudi ArabiaTunisiaCMIP6 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 Saudi Arabia at 218.7 nights and Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearSaudi ArabiaTunisia
2014181.5110.5
2013180.4110.7
2012182.8110
2011182.7108.9
2010179.2109.6
2009177.1106.1
2008180.3108.6
2007178.9106.6
2006177.5107.6
2005177.9105.6
2004177.6105
2003177.4105.5
2002175.6103.8
2001178.1101.8
2000176.4104.5
1999173.2100.1
1998173.4100.1
1997173.8100.1
199617299.1
1995169.295.9
1994170.495
1993164.691.3
1992165.989.9
1991169.298.2
1990172.798.6
1989168.994.7
1988166.894.2
1987167.392.7
1986169.493.7
198516690.6
198416591.8
1983163.590
1982164.793.9
1981168.993.3
1980166.892.5
1979165.393.8
1978164.890.2
1977165.688.3
1976165.990.5
1975161.288.6
1974162.988.3
1973163.790.5
1972163.791
1971160.488.8
1970162.587.3
1969161.390.1
1968162.788.9
1967159.587.6
1966159.587.5
1965159.584.5
1964159.985.7
1963160.288
1962163.292.7
1961163.788.3
1960165.790.7
1959164.492.2
1958164.191.8
1957165.592.3
1956163.690
195516292.7
1954161.289.9
1953162.589.4
1952163.491.8
1951161.291.6
1950161.689.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaTunisia
2015184.9169.4–198.7110.796.9–126.1
2016183167.7–195.7111.596.6–130.1
2017182.6168.1–196.7116.5102.4–131.8
2018186.8173.1–199.4115.999.4–131.9
2019184.1168.8–199.1116.598.5–129.5
2020185.3171.8–198.9113.899.9–130.1
2021188.6173.6–202.8117.4104.1–129.3
2022187.6170.7–202119.7103–137.3
2023188.6173–203.8118.7102.2–131.9
2024187.1172.9–203.9121107.5–132.6
2025191.5176–206.1120.2100–134
2026191.8177.1–205.5122.1110.1–134.5
2027191.2176.6–206.8119103.6–134.1
2028191.9175.5–205.1121.1104.5–135.4
2029192.2176.6–205.7121.5110.2–135.8
2030193.3178.4–206.3121.6104–133.4
2031194.7179.1–207.6121.8105.7–134.9
2032192.2175.2–206125.2111.6–138.9
2033192.6177.5–206.9124.7107.6–137.5
2034196.7181.6–213124.6107–141.7
2035196.5179.9–211.6126.3115.5–142.6
2036194.1180–209.7126112.5–141.9
2037197183.7–209.9126.5110–140
2038198.4182.3–213.3126.2111.1–139.1
2039198184.4–213.6127112.5–142.3
2040199.2182.1–212.7127.5112.8–144.3
2041197.7181.4–211.7125.5109.1–140.4
2042198.3181.2–217129.9114.8–145.8
2043198.2182.3–215.3129.1111.6–142
2044199.2185.5–213.5127.1112.8–141.8
2045202187.1–216.8128.5113.8–140.8
2046204.1185.3–219.4128.3109.9–144
2047204.1187.4–220131.2113.6–147.5
2048206.1190.7–220129.9114.9–142.3
2049201.6187.7–216.2130115.4–143.5
2050205.7190.2–219.3132.3117.6–147.6
2051204.3188.8–222.1130.1112.6–148.6
2052203.8189.6–218132.7116.8–146.7
2053203.8186.3–218.8132.5119.5–149.8
2054207.6188.3–222.3135.2118.4–148.8
2055207.8190.8–221135.1119.2–151.6
2056203.7186.6–220.1134.8119.6–149.5
2057207.5188.8–224.2131.9118.5–148.6
2058205.9189.2–221.4137.8122.5–156.5
2059207.3191.6–226.9134.9117.1–152.5
2060206.9192.7–222.8136.2120.5–150.1
2061206.5190.4–220.9139119.4–154
2062208.1189.4–228.3134.9119.1–155.9
2063210.4193–227.1138.6119.2–152.5
2064207.5191.9–223.3134.9121.1–152.7
2065208.9193.9–226.1137.1123.3–150.5
2066210.3194.9–228136.6119.2–155.1
2067210.9193.1–228.6138.9124.4–154.3
2068209.8194.6–228.6141.7124.8–159.2
2069208.9194.5–226.3140.3123.5–154.1
2070211.2191.2–229137123.6–155.3
2071215.1196.3–233.3140.5123.1–156.1
2072213.6195.3–229.3142.6128–154.3
2073213.7194.1–231.6139.3124.7–154.6
2074210.5191.9–229.3140.1123–156.5
2075212.1196.6–231.8139.6124.5–157.1
2076212.8194.8–230.3143.4125.2–158.8
2077215.1196.6–233.9141.3119.1–158.3
2078215.5197.6–230.7143127.2–155.9
2079213.6197–229144.7123.9–158.5
2080213.6197.1–233.9143.6123.6–158.7
2081214.7194.4–231.6139.9126.3–158.8
2082214198.9–230.9145.5125.9–158.1
2083214.2198.5–238143.4124.3–158.7
2084217.4197.4–233.1144.8129.6–159.7
2085217.4199.6–237.9145.3124.7–159.5
2086217197.4–237.4144.7129.5–162.7
2087217.3199.7–238.7144125.7–159.2
2088216.1198.2–243.1147.3127.2–165.4
2089217.6199.5–239142.7125.3–164.8
2090217.3198.5–239.2145.2126.3–165.1
2091218.5202.8–238.4144.9127.4–164.4
2092218.5198.5–241.6148.2126.3–161.1
2093216.6197.8–236.3146.9127.2–165.6
2094218.8202–236.9145.7126.8–160.4
2095219.4204.2–237.4145.5125.4–161.5
2096219.9197.7–239.6146.3130–169.4
2097216.7196.8–239.7144.6125.7–160.6
2098219.7199.6–241.3147129.6–161.9
2099216.8200.8–236.8145.8130.3–163.7
2100218.7202.3–241143.8124.8–163.8

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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