Saudi Arabia vs Vietnam

Saudi Arabia vs Vietnam: Tropical nights

Tropical nights in 2014: 181.5 nights in Saudi Arabia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 61.1 nights, or 1.34 times that in Saudi Arabia.

nights a year · CMIP6

Saudi Arabia vs Vietnam: Tropical nightsTropical nights in 2014: 181.5 nights in Saudi Arabia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 61.1 nights, or 1.34 times that in Saudi Arabia.
Saudi ArabiaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearSaudi ArabiaVietnam
2014181.5242.6
2013180.4243.6
2012182.8242.4
2011182.7241.9
2010179.2240.9
2009177.1240
2008180.3238.7
2007178.9238
2006177.5239.1
2005177.9238.3
2004177.6241.8
2003177.4235.9
2002175.6236.3
2001178.1241.3
2000176.4237
1999173.2236
1998173.4236.8
1997173.8237.1
1996172231.4
1995169.2229.9
1994170.4231.2
1993164.6225.3
1992165.9221.9
1991169.2229.8
1990172.7233.1
1989168.9229.2
1988166.8231.7
1987167.3230.3
1986169.4230.9
1985166228
1984165230.2
1983163.5224.9
1982164.7227.5
1981168.9229.7
1980166.8228.1
1979165.3228.9
1978164.8227.5
1977165.6229
1976165.9225.8
1975161.2225.8
1974162.9225.7
1973163.7230.3
1972163.7225.6
1971160.4225.5
1970162.5226.1
1969161.3227
1968162.7227.1
1967159.5222.9
1966159.5226.8
1965159.5225.4
1964159.9222.6
1963160.2224.3
1962163.2227.8
1961163.7229.4
1960165.7228.5
1959164.4226.2
1958164.1230.9
1957165.5228.4
1956163.6228.7
1955162227.5
1954161.2226.3
1953162.5228.2
1952163.4228.5
1951161.2229.2
1950161.6228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSaudi ArabiaVietnam
2015184.9169.4–198.7245.8228.2–261.9
2016183167.7–195.7243.7226.1–259.4
2017182.6168.1–196.7247229.6–260.7
2018186.8173.1–199.4248.3228.8–263.3
2019184.1168.8–199.1248.1229.2–262.8
2020185.3171.8–198.9248.8229.6–262.9
2021188.6173.6–202.8251.1233.1–266.7
2022187.6170.7–202252.4234.3–266.8
2023188.6173–203.8253.4235.4–266.6
2024187.1172.9–203.9251.3236.7–264.6
2025191.5176–206.1252.4234.1–266.2
2026191.8177.1–205.5252.8232.9–268.5
2027191.2176.6–206.8253.2237–268.8
2028191.9175.5–205.1254.3237.7–272
2029192.2176.6–205.7258.1238.5–273.7
2030193.3178.4–206.3256.4240.9–270.1
2031194.7179.1–207.6255.9241.2–270.9
2032192.2175.2–206257.4239.1–269.9
2033192.6177.5–206.9258.3241.7–273.2
2034196.7181.6–213258.8240.7–275.8
2035196.5179.9–211.6258.6242.5–275.4
2036194.1180–209.7258.3239.1–273.8
2037197183.7–209.9258.7242.4–272.4
2038198.4182.3–213.3263.4247.6–277.3
2039198184.4–213.6260.2243.7–275.9
2040199.2182.1–212.7260.1242.8–274.8
2041197.7181.4–211.7263.1245.9–279
2042198.3181.2–217263.6246.5–279
2043198.2182.3–215.3261.4245.5–279.6
2044199.2185.5–213.5263.2245.2–277.6
2045202187.1–216.8265.5249.6–281.4
2046204.1185.3–219.4264.9246.8–278.1
2047204.1187.4–220266.9250.4–282.9
2048206.1190.7–220268250.5–283.8
2049201.6187.7–216.2267.8251.2–284.8
2050205.7190.2–219.3268251.2–283.5
2051204.3188.8–222.1270.9254.3–285.4
2052203.8189.6–218268.3253.3–282.8
2053203.8186.3–218.8268.5250.1–283.2
2054207.6188.3–222.3269.1250.8–283.6
2055207.8190.8–221270249.8–284.2
2056203.7186.6–220.1271.7254.8–290.1
2057207.5188.8–224.2270253–285.7
2058205.9189.2–221.4270.7252.9–286.5
2059207.3191.6–226.9273257.6–286.6
2060206.9192.7–222.8275.7255.6–290.6
2061206.5190.4–220.9273.5254.6–289.5
2062208.1189.4–228.3271.4253.1–290.2
2063210.4193–227.1272.9252.7–288.1
2064207.5191.9–223.3273.8254.4–288.1
2065208.9193.9–226.1272255.8–286.3
2066210.3194.9–228271.8254.4–287.3
2067210.9193.1–228.6270.8252.1–287.6
2068209.8194.6–228.6275.6256.9–292.4
2069208.9194.5–226.3276.4258.5–292
2070211.2191.2–229274.6257.8–292.8
2071215.1196.3–233.3276.2255.2–294.1
2072213.6195.3–229.3277256.8–291.4
2073213.7194.1–231.6278.5262.7–293.4
2074210.5191.9–229.3277.6259.2–295.8
2075212.1196.6–231.8276.4258.7–294.4
2076212.8194.8–230.3279.2258.5–296.6
2077215.1196.6–233.9280264.9–294.7
2078215.5197.6–230.7278.4258.6–295.5
2079213.6197–229279.3263.4–293.6
2080213.6197.1–233.9280261.4–296.5
2081214.7194.4–231.6280.4261.2–297.9
2082214198.9–230.9280.9258.9–296
2083214.2198.5–238278.4261.6–295
2084217.4197.4–233.1279257.4–293.8
2085217.4199.6–237.9281.3265–297.8
2086217197.4–237.4282.3260.2–297.5
2087217.3199.7–238.7281.9261.3–300.7
2088216.1198.2–243.1283.1265.7–301.5
2089217.6199.5–239280.8261.2–301.6
2090217.3198.5–239.2280.5264.5–297.6
2091218.5202.8–238.4283.3264.3–298.9
2092218.5198.5–241.6281.1261.5–299.4
2093216.6197.8–236.3280.5263.4–296.1
2094218.8202–236.9283264.5–300
2095219.4204.2–237.4285.5264.5–302.9
2096219.9197.7–239.6281.8264.8–299.8
2097216.7196.8–239.7281.5263.3–299
2098219.7199.6–241.3282.5263.9–301.5
2099216.8200.8–236.8282.7265.1–298
2100218.7202.3–241282.7261–298.2

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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