Saudi Arabia vs South Korea

Saudi Arabia vs South Korea: Tropical nights

Tropical nights in 2014: 181.5 nights in Saudi Arabia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 112.6 nights, or 2.63 times that in South Korea.

nights a year · CMIP6

Saudi Arabia vs South Korea: Tropical nightsTropical nights in 2014: 181.5 nights in Saudi Arabia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 112.6 nights, or 2.63 times that in South Korea.
Saudi ArabiaSouth KoreaCMIP6 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 South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearSaudi ArabiaSouth Korea
2014181.568.9
2013180.469.7
2012182.867.7
2011182.765.3
2010179.268.3
2009177.165.8
2008180.363.7
2007178.964.2
2006177.564.8
2005177.965.1
2004177.666.8
2003177.463.2
2002175.663.3
2001178.163.4
2000176.461.7
1999173.264.2
1998173.460.7
1997173.860.4
199617261.2
1995169.255.2
1994170.454.8
1993164.649.2
1992165.950.7
1991169.256.9
1990172.758.8
1989168.958.7
1988166.855.6
1987167.352.6
1986169.451.4
198516653.1
198416550.4
1983163.546.8
1982164.754
1981168.953.9
1980166.851.6
1979165.352.6
1978164.856.4
1977165.651.8
1976165.952.8
1975161.254.6
1974162.952.7
1973163.750.4
1972163.751.8
1971160.449.7
1970162.550.4
1969161.355.2
1968162.751.7
1967159.557.3
1966159.552.9
1965159.552.8
1964159.952.2
1963160.257.9
1962163.253.3
1961163.758.2
1960165.755.2
1959164.454.8
1958164.156
1957165.555.8
1956163.659.1
195516255.7
1954161.254
1953162.555.4
1952163.457
1951161.254.7
1950161.659.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaSouth Korea
2015184.9169.4–198.768.656.8–82
2016183167.7–195.770.353.5–81.8
2017182.6168.1–196.770.559.5–82.9
2018186.8173.1–199.469.156.9–81.2
2019184.1168.8–199.174.663.1–84.4
2020185.3171.8–198.97157.6–83
2021188.6173.6–202.870.252.7–84.1
2022187.6170.7–20272.563–81.2
2023188.6173–203.874.563.2–84.2
2024187.1172.9–203.973.558.6–87.1
2025191.5176–206.175.762.3–87.1
2026191.8177.1–205.57564–88.4
2027191.2176.6–206.874.163.4–88.9
2028191.9175.5–205.177.361.5–87.9
2029192.2176.6–205.775.463.1–86.7
2030193.3178.4–206.375.364.5–87.6
2031194.7179.1–207.676.763.6–87.3
2032192.2175.2–20676.761–89.2
2033192.6177.5–206.978.860–92.7
2034196.7181.6–21377.264.7–87.2
2035196.5179.9–211.68168.9–92.1
2036194.1180–209.781.964.1–95
2037197183.7–209.978.465.8–89.3
2038198.4182.3–213.378.866.9–89.4
2039198184.4–213.677.564.7–89.2
2040199.2182.1–212.780.567.4–92.7
2041197.7181.4–211.780.966.4–97.7
2042198.3181.2–21782.469.1–95
2043198.2182.3–215.383.268.5–97.9
2044199.2185.5–213.583.169.3–91.6
2045202187.1–216.88170.4–92.2
2046204.1185.3–219.48668.3–95.2
2047204.1187.4–22083.469.7–96.7
2048206.1190.7–22082.769.2–95.2
2049201.6187.7–216.281.669–96.8
2050205.7190.2–219.381.569.8–93.8
2051204.3188.8–222.184.572.7–98.8
2052203.8189.6–21883.167.8–98.5
2053203.8186.3–218.886.969.8–98.1
2054207.6188.3–222.384.773.3–97.5
2055207.8190.8–22186.570.8–101.3
2056203.7186.6–220.185.874.5–99.8
2057207.5188.8–224.287.976.1–100.7
2058205.9189.2–221.486.275.2–99.4
2059207.3191.6–226.986.766.9–100.4
2060206.9192.7–222.886.371.9–101.9
2061206.5190.4–220.98974.8–99.5
2062208.1189.4–228.387.772.3–102.2
2063210.4193–227.186.774.6–101.2
2064207.5191.9–223.386.673.6–100.3
2065208.9193.9–226.191.575.3–102.2
2066210.3194.9–22889.272.6–100.5
2067210.9193.1–228.690.372.7–102.6
2068209.8194.6–228.690.473.8–106.4
2069208.9194.5–226.39174.5–102.5
2070211.2191.2–22989.774.6–107
2071215.1196.3–233.392.674.9–107.9
2072213.6195.3–229.390.976.6–103.9
2073213.7194.1–231.691.376.2–104
2074210.5191.9–229.391.974.6–107
2075212.1196.6–231.894.576.4–103.7
2076212.8194.8–230.393.477.5–105.6
2077215.1196.6–233.995.776.3–107.2
2078215.5197.6–230.793.576.9–110.5
2079213.6197–22991.179.2–105.7
2080213.6197.1–233.992.481.7–107.1
2081214.7194.4–231.693.878–108.8
2082214198.9–230.996.279.9–110.1
2083214.2198.5–23894.481.1–108
2084217.4197.4–233.191.574.4–107.3
2085217.4199.6–237.99481.4–107.4
2086217197.4–237.493.678.5–111.5
2087217.3199.7–238.794.480.9–113.5
2088216.1198.2–243.193.779.8–108.5
2089217.6199.5–23994.478.9–107
2090217.3198.5–239.297.979.5–109
2091218.5202.8–238.495.280.6–107.7
2092218.5198.5–241.69580–106.3
2093216.6197.8–236.395.379.5–109.9
2094218.8202–236.992.279.8–111
2095219.4204.2–237.494.884–112.2
2096219.9197.7–239.6100.481–113.2
2097216.7196.8–239.797.278.6–108.8
2098219.7199.6–241.397.479.9–110.4
2099216.8200.8–236.895.879.9–109.3
2100218.7202.3–24196.381.6–113.8

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

Saudi Arabia vs South Korea

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