Saudi Arabia vs Thailand

Saudi Arabia vs Thailand: Tropical nights

Tropical nights in 2014: 181.5 nights in Saudi Arabia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 104.9 nights, or 1.58 times that in Saudi Arabia.

Watch it change on the map

nights a year · CMIP6

Saudi Arabia vs Thailand: Tropical nightsTropical nights in 2014: 181.5 nights in Saudi Arabia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 104.9 nights, or 1.58 times that in Saudi Arabia.
Saudi ArabiaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearSaudi ArabiaThailand
2014181.5286.4
2013180.4289.1
2012182.8286.6
2011182.7286.4
2010179.2286
2009177.1286.9
2008180.3284.8
2007178.9283.2
2006177.5284.3
2005177.9281.7
2004177.6287.5
2003177.4279.3
2002175.6280
2001178.1285.5
2000176.4283.4
1999173.2282.5
1998173.4282.7
1997173.8284.8
1996172279.8
1995169.2278.7
1994170.4280.8
1993164.6275.6
1992165.9268.8
1991169.2276.7
1990172.7279.2
1989168.9278.4
1988166.8279.6
1987167.3277.9
1986169.4277.5
1985166276
1984165277.9
1983163.5273.9
1982164.7275.7
1981168.9277.8
1980166.8277.9
1979165.3278
1978164.8276
1977165.6277.3
1976165.9275.6
1975161.2274.4
1974162.9276
1973163.7280.6
1972163.7273.9
1971160.4273.2
1970162.5276
1969161.3274.8
1968162.7277
1967159.5270.3
1966159.5274.4
1965159.5275.8
1964159.9271.9
1963160.2274.7
1962163.2275.4
1961163.7278.5
1960165.7276.2
1959164.4274.4
1958164.1278.7
1957165.5277.4
1956163.6277
1955162274.6
1954161.2275
1953162.5275.4
1952163.4275.1
1951161.2277.5
1950161.6276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaThailand
2015184.9169.4–198.7290.6272.2–305
2016183167.7–195.7287.1269.8–306.2
2017182.6168.1–196.7290273.8–302.8
2018186.8173.1–199.4292.6275.1–308.7
2019184.1168.8–199.1291.2272.8–306.7
2020185.3171.8–198.9292.4272.2–307.8
2021188.6173.6–202.8294.2276.3–308.5
2022187.6170.7–202294.8277.2–311.9
2023188.6173–203.8296.1281.9–310.2
2024187.1172.9–203.9291.7275.5–307.8
2025191.5176–206.1294276.7–306.3
2026191.8177.1–205.5296278–309.3
2027191.2176.6–206.8295.8276.3–311.1
2028191.9175.5–205.1297279.3–315.1
2029192.2176.6–205.7300.3278.7–315
2030193.3178.4–206.3297.7280.2–312.5
2031194.7179.1–207.6300.8282.8–317.1
2032192.2175.2–206297.2280.9–311.4
2033192.6177.5–206.9300281.9–315.8
2034196.7181.6–213300.8279–318.4
2035196.5179.9–211.6298.6281.5–317.8
2036194.1180–209.7300.4279.9–316.9
2037197183.7–209.9299.8280–315.1
2038198.4182.3–213.3304.8286.6–319.3
2039198184.4–213.6300.9281.9–317
2040199.2182.1–212.7301.6284.5–315.7
2041197.7181.4–211.7303.1285.1–318.8
2042198.3181.2–217303.8290–318.3
2043198.2182.3–215.3302285.8–317.9
2044199.2185.5–213.5304.3286.3–318.8
2045202187.1–216.8307.1287.7–324.2
2046204.1185.3–219.4305.9285.2–321
2047204.1187.4–220306.6289.5–321.5
2048206.1190.7–220309.4288.9–325.7
2049201.6187.7–216.2308.1287.2–324.1
2050205.7190.2–219.3307.5291–321.5
2051204.3188.8–222.1312.8294.8–326
2052203.8189.6–218310.9291.2–323.4
2053203.8186.3–218.8308.3289.5–323.3
2054207.6188.3–222.3308.8292.8–322.3
2055207.8190.8–221308.6290.6–325.1
2056203.7186.6–220.1311.3294.9–326.3
2057207.5188.8–224.2308.5286.7–326.4
2058205.9189.2–221.4308291.1–325.1
2059207.3191.6–226.9312.7295.8–325.3
2060206.9192.7–222.8313.1294.6–328.6
2061206.5190.4–220.9314.4289.5–331.1
2062208.1189.4–228.3311.4293.4–330.3
2063210.4193–227.1314.8296.9–327.3
2064207.5191.9–223.3312.5295.4–330
2065208.9193.9–226.1309.6293.1–329.3
2066210.3194.9–228312.1292.6–328
2067210.9193.1–228.6311.2289.6–329.4
2068209.8194.6–228.6310.8292.4–330.6
2069208.9194.5–226.3315.5296.1–329.5
2070211.2191.2–229314.2292.9–330.7
2071215.1196.3–233.3313.8296.4–330.8
2072213.6195.3–229.3314.8296–329.6
2073213.7194.1–231.6316.5299.9–332.1
2074210.5191.9–229.3317.2295–333.8
2075212.1196.6–231.8317.2295.3–331.4
2076212.8194.8–230.3317.4299.8–335
2077215.1196.6–233.9317.5297.3–335.9
2078215.5197.6–230.7315.9297.1–331.6
2079213.6197–229318.5300.5–332.3
2080213.6197.1–233.9319.8297.4–337.5
2081214.7194.4–231.6317.7299.5–334.9
2082214198.9–230.9317.9294.8–333
2083214.2198.5–238315297.8–332.9
2084217.4197.4–233.1316295.5–330
2085217.4199.6–237.9322.6300.8–334.7
2086217197.4–237.4319.4295.2–335.2
2087217.3199.7–238.7320.2302.2–334.7
2088216.1198.2–243.1321.4299.8–334.8
2089217.6199.5–239318.9296.4–338.1
2090217.3198.5–239.2317.6304–337.4
2091218.5202.8–238.4320.1299.8–336.1
2092218.5198.5–241.6316.3298–336.4
2093216.6197.8–236.3316.1297.7–333.7
2094218.8202–236.9323.4301.8–337.3
2095219.4204.2–237.4322.9302.4–338.9
2096219.9197.7–239.6319.6302.8–336.7
2097216.7196.8–239.7319.8299.1–336
2098219.7199.6–241.3320.5303.9–336
2099216.8200.8–236.8319.9303.1–334.4
2100218.7202.3–241320.8301.1–336.7

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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