Sudan vs Vietnam

Sudan vs Vietnam: Tropical nights

Tropical nights in 2014: 242.4 nights in Sudan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 0.2 nights, or 1 times that in Sudan.

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nights a year · CMIP6

Sudan vs Vietnam: Tropical nightsTropical nights in 2014: 242.4 nights in Sudan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 0.2 nights, or 1 times that in Sudan.
SudanVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher since 2012, when it overtook Sudan.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Sudan at 278.6 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearSudanVietnam
2014242.4242.6
2013240243.6
2012242242.4
2011242.2241.9
2010240.6240.9
2009236.5240
2008237.1238.7
2007236238
2006235.3239.1
2005233.1238.3
2004233.5241.8
2003235.6235.9
2002234.7236.3
2001235.4241.3
2000230.5237
1999232.1236
1998230.2236.8
1997231.1237.1
1996227.3231.4
1995227.8229.9
1994225.3231.2
1993219.1225.3
1992217.8221.9
1991227.3229.8
1990227.5233.1
1989223229.2
1988223.1231.7
1987224.4230.3
1986226.4230.9
1985222.1228
1984220.7230.2
1983217224.9
1982216.3227.5
1981223.2229.7
1980220228.1
1979218.4228.9
1978218.5227.5
1977219.3229
1976220.1225.8
1975215.7225.8
1974217.5225.7
1973220230.3
1972217.9225.6
1971215.5225.5
1970217226.1
1969213.1227
1968214227.1
1967210.3222.9
1966213.3226.8
1965213.4225.4
1964213.2222.6
1963210.1224.3
1962217227.8
1961216.9229.4
1960221.3228.5
1959217.8226.2
1958216.2230.9
1957218.9228.4
1956217.2228.7
1955216.6227.5
1954218.9226.3
1953215.1228.2
1952216.4228.5
1951218.5229.2
1950214.1228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSudanVietnam
2015242.3225.3–258.3245.8228.2–261.9
2016241.4223.3–254.1243.7226.1–259.4
2017243.2223–259.1247229.6–260.7
2018242.3226.4–258.5248.3228.8–263.3
2019243.1221.7–260.4248.1229.2–262.8
2020244.9225.9–261.7248.8229.6–262.9
2021245.6229.1–261.5251.1233.1–266.7
2022249230.9–262.3252.4234.3–266.8
2023247.1226.8–263.1253.4235.4–266.6
2024251.5232.8–266.1251.3236.7–264.6
2025250.7232.4–265.6252.4234.1–266.2
2026250230.8–266.6252.8232.9–268.5
2027248.8228.4–265.6253.2237–268.8
2028249232.2–263.1254.3237.7–272
2029251.4232.1–266258.1238.5–273.7
2030252235.4–266.7256.4240.9–270.1
2031253.3234.4–268.9255.9241.2–270.9
2032250.4232.3–266.6257.4239.1–269.9
2033254.4235.3–269.4258.3241.7–273.2
2034254.2234.5–269.9258.8240.7–275.8
2035258.3240.2–273.6258.6242.5–275.4
2036252.8235.6–268.6258.3239.1–273.8
2037256.7238.6–271.8258.7242.4–272.4
2038258.7244.8–272.1263.4247.6–277.3
2039259.5241.2–272.5260.2243.7–275.9
2040256.4236.7–272.3260.1242.8–274.8
2041259.1241.2–274.5263.1245.9–279
2042258.7242–274.7263.6246.5–279
2043258.1240.3–272.6261.4245.5–279.6
2044257.3238.6–274.7263.2245.2–277.6
2045258.8243.1–276.2265.5249.6–281.4
2046261.1241.7–277.6264.9246.8–278.1
2047261.4244.6–278.4266.9250.4–282.9
2048260.4243.4–279.5268250.5–283.8
2049261.9242.6–275.9267.8251.2–284.8
2050263.5245.4–279268251.2–283.5
2051263.6246.6–278.8270.9254.3–285.4
2052263.8248.7–278.3268.3253.3–282.8
2053262.8242.4–279.2268.5250.1–283.2
2054266.3246.6–282.9269.1250.8–283.6
2055265.6245.9–281.4270249.8–284.2
2056264.1242.6–281.5271.7254.8–290.1
2057266.4247.6–283.4270253–285.7
2058265.2247.4–280.3270.7252.9–286.5
2059268.4249.6–285.4273257.6–286.6
2060263.6246.7–284.4275.7255.6–290.6
2061266.9250.1–281.9273.5254.6–289.5
2062266.4248.5–285271.4253.1–290.2
2063267.1246.9–283.4272.9252.7–288.1
2064269250.7–284.7273.8254.4–288.1
2065269.8253.9–285.6272255.8–286.3
2066271.4251.9–287.3271.8254.4–287.3
2067270.9250–288.4270.8252.1–287.6
2068271.9251.7–289.8275.6256.9–292.4
2069268251.1–286.2276.4258.5–292
2070269252.3–285.8274.6257.8–292.8
2071275.5254.1–290.4276.2255.2–294.1
2072273.3254.2–289.4277256.8–291.4
2073271.9250.7–287.6278.5262.7–293.4
2074270.9249–290.1277.6259.2–295.8
2075273.1254–291.9276.4258.7–294.4
2076272.7255.2–290.9279.2258.5–296.6
2077274.6255.2–292.7280264.9–294.7
2078274.3255.6–291.2278.4258.6–295.5
2079272255.2–288.5279.3263.4–293.6
2080276.6256–292.2280261.4–296.5
2081275.1254.1–294.8280.4261.2–297.9
2082272.9258.7–288.6280.9258.9–296
2083276.5258–291.7278.4261.6–295
2084275.4253–294.9279257.4–293.8
2085275.3258.6–291.6281.3265–297.8
2086276.4256.9–296.6282.3260.2–297.5
2087273.5253.1–293.3281.9261.3–300.7
2088273.6253.7–293.6283.1265.7–301.5
2089276.5256.6–293.4280.8261.2–301.6
2090276.6256.4–294.6280.5264.5–297.6
2091277.4256.4–296.6283.3264.3–298.9
2092274.6254.3–294.9281.1261.5–299.4
2093278261.9–292.1280.5263.4–296.1
2094280.3262.2–294283264.5–300
2095277.5262.6–294285.5264.5–302.9
2096279.7258.7–297281.8264.8–299.8
2097276.3254.1–297.6281.5263.3–299
2098277.7258.2–295.5282.5263.9–301.5
2099276.8257.2–296.2282.7265.1–298
2100278.6259–294.3282.7261–298.2

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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