Sudan vs Thailand

Sudan vs Thailand: Tropical nights

Tropical nights in 2014: 242.4 nights in Sudan and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 44 nights, or 1.18 times that in Sudan.

Watch it change on the map

nights a year · CMIP6

Sudan vs Thailand: Tropical nightsTropical nights in 2014: 242.4 nights in Sudan and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 44 nights, or 1.18 times that in Sudan.
SudanThailandCMIP6 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 Sudan at 278.6 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearSudanThailand
2014242.4286.4
2013240289.1
2012242286.6
2011242.2286.4
2010240.6286
2009236.5286.9
2008237.1284.8
2007236283.2
2006235.3284.3
2005233.1281.7
2004233.5287.5
2003235.6279.3
2002234.7280
2001235.4285.5
2000230.5283.4
1999232.1282.5
1998230.2282.7
1997231.1284.8
1996227.3279.8
1995227.8278.7
1994225.3280.8
1993219.1275.6
1992217.8268.8
1991227.3276.7
1990227.5279.2
1989223278.4
1988223.1279.6
1987224.4277.9
1986226.4277.5
1985222.1276
1984220.7277.9
1983217273.9
1982216.3275.7
1981223.2277.8
1980220277.9
1979218.4278
1978218.5276
1977219.3277.3
1976220.1275.6
1975215.7274.4
1974217.5276
1973220280.6
1972217.9273.9
1971215.5273.2
1970217276
1969213.1274.8
1968214277
1967210.3270.3
1966213.3274.4
1965213.4275.8
1964213.2271.9
1963210.1274.7
1962217275.4
1961216.9278.5
1960221.3276.2
1959217.8274.4
1958216.2278.7
1957218.9277.4
1956217.2277
1955216.6274.6
1954218.9275
1953215.1275.4
1952216.4275.1
1951218.5277.5
1950214.1276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSudanThailand
2015242.3225.3–258.3290.6272.2–305
2016241.4223.3–254.1287.1269.8–306.2
2017243.2223–259.1290273.8–302.8
2018242.3226.4–258.5292.6275.1–308.7
2019243.1221.7–260.4291.2272.8–306.7
2020244.9225.9–261.7292.4272.2–307.8
2021245.6229.1–261.5294.2276.3–308.5
2022249230.9–262.3294.8277.2–311.9
2023247.1226.8–263.1296.1281.9–310.2
2024251.5232.8–266.1291.7275.5–307.8
2025250.7232.4–265.6294276.7–306.3
2026250230.8–266.6296278–309.3
2027248.8228.4–265.6295.8276.3–311.1
2028249232.2–263.1297279.3–315.1
2029251.4232.1–266300.3278.7–315
2030252235.4–266.7297.7280.2–312.5
2031253.3234.4–268.9300.8282.8–317.1
2032250.4232.3–266.6297.2280.9–311.4
2033254.4235.3–269.4300281.9–315.8
2034254.2234.5–269.9300.8279–318.4
2035258.3240.2–273.6298.6281.5–317.8
2036252.8235.6–268.6300.4279.9–316.9
2037256.7238.6–271.8299.8280–315.1
2038258.7244.8–272.1304.8286.6–319.3
2039259.5241.2–272.5300.9281.9–317
2040256.4236.7–272.3301.6284.5–315.7
2041259.1241.2–274.5303.1285.1–318.8
2042258.7242–274.7303.8290–318.3
2043258.1240.3–272.6302285.8–317.9
2044257.3238.6–274.7304.3286.3–318.8
2045258.8243.1–276.2307.1287.7–324.2
2046261.1241.7–277.6305.9285.2–321
2047261.4244.6–278.4306.6289.5–321.5
2048260.4243.4–279.5309.4288.9–325.7
2049261.9242.6–275.9308.1287.2–324.1
2050263.5245.4–279307.5291–321.5
2051263.6246.6–278.8312.8294.8–326
2052263.8248.7–278.3310.9291.2–323.4
2053262.8242.4–279.2308.3289.5–323.3
2054266.3246.6–282.9308.8292.8–322.3
2055265.6245.9–281.4308.6290.6–325.1
2056264.1242.6–281.5311.3294.9–326.3
2057266.4247.6–283.4308.5286.7–326.4
2058265.2247.4–280.3308291.1–325.1
2059268.4249.6–285.4312.7295.8–325.3
2060263.6246.7–284.4313.1294.6–328.6
2061266.9250.1–281.9314.4289.5–331.1
2062266.4248.5–285311.4293.4–330.3
2063267.1246.9–283.4314.8296.9–327.3
2064269250.7–284.7312.5295.4–330
2065269.8253.9–285.6309.6293.1–329.3
2066271.4251.9–287.3312.1292.6–328
2067270.9250–288.4311.2289.6–329.4
2068271.9251.7–289.8310.8292.4–330.6
2069268251.1–286.2315.5296.1–329.5
2070269252.3–285.8314.2292.9–330.7
2071275.5254.1–290.4313.8296.4–330.8
2072273.3254.2–289.4314.8296–329.6
2073271.9250.7–287.6316.5299.9–332.1
2074270.9249–290.1317.2295–333.8
2075273.1254–291.9317.2295.3–331.4
2076272.7255.2–290.9317.4299.8–335
2077274.6255.2–292.7317.5297.3–335.9
2078274.3255.6–291.2315.9297.1–331.6
2079272255.2–288.5318.5300.5–332.3
2080276.6256–292.2319.8297.4–337.5
2081275.1254.1–294.8317.7299.5–334.9
2082272.9258.7–288.6317.9294.8–333
2083276.5258–291.7315297.8–332.9
2084275.4253–294.9316295.5–330
2085275.3258.6–291.6322.6300.8–334.7
2086276.4256.9–296.6319.4295.2–335.2
2087273.5253.1–293.3320.2302.2–334.7
2088273.6253.7–293.6321.4299.8–334.8
2089276.5256.6–293.4318.9296.4–338.1
2090276.6256.4–294.6317.6304–337.4
2091277.4256.4–296.6320.1299.8–336.1
2092274.6254.3–294.9316.3298–336.4
2093278261.9–292.1316.1297.7–333.7
2094280.3262.2–294323.4301.8–337.3
2095277.5262.6–294322.9302.4–338.9
2096279.7258.7–297319.6302.8–336.7
2097276.3254.1–297.6319.8299.1–336
2098277.7258.2–295.5320.5303.9–336
2099276.8257.2–296.2319.9303.1–334.4
2100278.6259–294.3320.8301.1–336.7

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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