South Korea vs Thailand: Tropical nights

Tropical nights in 2014: 68.9 nights in South Korea and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 217.5 nights, or 4.15 times that in South Korea.

Watch it change on the map

nights a year · CMIP6

South KoreaThailandCMIP6 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 South Korea at 96.3 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

Year	South Korea	Thailand
2014	68.9	286.4
2013	69.7	289.1
2012	67.7	286.6
2011	65.3	286.4
2010	68.3	286
2009	65.8	286.9
2008	63.7	284.8
2007	64.2	283.2
2006	64.8	284.3
2005	65.1	281.7
2004	66.8	287.5
2003	63.2	279.3
2002	63.3	280
2001	63.4	285.5
2000	61.7	283.4
1999	64.2	282.5
1998	60.7	282.7
1997	60.4	284.8
1996	61.2	279.8
1995	55.2	278.7
1994	54.8	280.8
1993	49.2	275.6
1992	50.7	268.8
1991	56.9	276.7
1990	58.8	279.2
1989	58.7	278.4
1988	55.6	279.6
1987	52.6	277.9
1986	51.4	277.5
1985	53.1	276
1984	50.4	277.9
1983	46.8	273.9
1982	54	275.7
1981	53.9	277.8
1980	51.6	277.9
1979	52.6	278
1978	56.4	276
1977	51.8	277.3
1976	52.8	275.6
1975	54.6	274.4
1974	52.7	276
1973	50.4	280.6
1972	51.8	273.9
1971	49.7	273.2
1970	50.4	276
1969	55.2	274.8
1968	51.7	277
1967	57.3	270.3
1966	52.9	274.4
1965	52.8	275.8
1964	52.2	271.9
1963	57.9	274.7
1962	53.3	275.4
1961	58.2	278.5
1960	55.2	276.2
1959	54.8	274.4
1958	56	278.7
1957	55.8	277.4
1956	59.1	277
1955	55.7	274.6
1954	54	275
1953	55.4	275.4
1952	57	275.1
1951	54.7	277.5
1950	59.8	276.2

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	South Korea	Thailand
2015	68.656.8–82	290.6272.2–305
2016	70.353.5–81.8	287.1269.8–306.2
2017	70.559.5–82.9	290273.8–302.8
2018	69.156.9–81.2	292.6275.1–308.7
2019	74.663.1–84.4	291.2272.8–306.7
2020	7157.6–83	292.4272.2–307.8
2021	70.252.7–84.1	294.2276.3–308.5
2022	72.563–81.2	294.8277.2–311.9
2023	74.563.2–84.2	296.1281.9–310.2
2024	73.558.6–87.1	291.7275.5–307.8
2025	75.762.3–87.1	294276.7–306.3
2026	7564–88.4	296278–309.3
2027	74.163.4–88.9	295.8276.3–311.1
2028	77.361.5–87.9	297279.3–315.1
2029	75.463.1–86.7	300.3278.7–315
2030	75.364.5–87.6	297.7280.2–312.5
2031	76.763.6–87.3	300.8282.8–317.1
2032	76.761–89.2	297.2280.9–311.4
2033	78.860–92.7	300281.9–315.8
2034	77.264.7–87.2	300.8279–318.4
2035	8168.9–92.1	298.6281.5–317.8
2036	81.964.1–95	300.4279.9–316.9
2037	78.465.8–89.3	299.8280–315.1
2038	78.866.9–89.4	304.8286.6–319.3
2039	77.564.7–89.2	300.9281.9–317
2040	80.567.4–92.7	301.6284.5–315.7
2041	80.966.4–97.7	303.1285.1–318.8
2042	82.469.1–95	303.8290–318.3
2043	83.268.5–97.9	302285.8–317.9
2044	83.169.3–91.6	304.3286.3–318.8
2045	8170.4–92.2	307.1287.7–324.2
2046	8668.3–95.2	305.9285.2–321
2047	83.469.7–96.7	306.6289.5–321.5
2048	82.769.2–95.2	309.4288.9–325.7
2049	81.669–96.8	308.1287.2–324.1
2050	81.569.8–93.8	307.5291–321.5
2051	84.572.7–98.8	312.8294.8–326
2052	83.167.8–98.5	310.9291.2–323.4
2053	86.969.8–98.1	308.3289.5–323.3
2054	84.773.3–97.5	308.8292.8–322.3
2055	86.570.8–101.3	308.6290.6–325.1
2056	85.874.5–99.8	311.3294.9–326.3
2057	87.976.1–100.7	308.5286.7–326.4
2058	86.275.2–99.4	308291.1–325.1
2059	86.766.9–100.4	312.7295.8–325.3
2060	86.371.9–101.9	313.1294.6–328.6
2061	8974.8–99.5	314.4289.5–331.1
2062	87.772.3–102.2	311.4293.4–330.3
2063	86.774.6–101.2	314.8296.9–327.3
2064	86.673.6–100.3	312.5295.4–330
2065	91.575.3–102.2	309.6293.1–329.3
2066	89.272.6–100.5	312.1292.6–328
2067	90.372.7–102.6	311.2289.6–329.4
2068	90.473.8–106.4	310.8292.4–330.6
2069	9174.5–102.5	315.5296.1–329.5
2070	89.774.6–107	314.2292.9–330.7
2071	92.674.9–107.9	313.8296.4–330.8
2072	90.976.6–103.9	314.8296–329.6
2073	91.376.2–104	316.5299.9–332.1
2074	91.974.6–107	317.2295–333.8
2075	94.576.4–103.7	317.2295.3–331.4
2076	93.477.5–105.6	317.4299.8–335
2077	95.776.3–107.2	317.5297.3–335.9
2078	93.576.9–110.5	315.9297.1–331.6
2079	91.179.2–105.7	318.5300.5–332.3
2080	92.481.7–107.1	319.8297.4–337.5
2081	93.878–108.8	317.7299.5–334.9
2082	96.279.9–110.1	317.9294.8–333
2083	94.481.1–108	315297.8–332.9
2084	91.574.4–107.3	316295.5–330
2085	9481.4–107.4	322.6300.8–334.7
2086	93.678.5–111.5	319.4295.2–335.2
2087	94.480.9–113.5	320.2302.2–334.7
2088	93.779.8–108.5	321.4299.8–334.8
2089	94.478.9–107	318.9296.4–338.1
2090	97.979.5–109	317.6304–337.4
2091	95.280.6–107.7	320.1299.8–336.1
2092	9580–106.3	316.3298–336.4
2093	95.379.5–109.9	316.1297.7–333.7
2094	92.279.8–111	323.4301.8–337.3
2095	94.884–112.2	322.9302.4–338.9
2096	100.481–113.2	319.6302.8–336.7
2097	97.278.6–108.8	319.8299.1–336
2098	97.479.9–110.4	320.5303.9–336
2099	95.879.9–109.3	319.9303.1–334.4
2100	96.381.6–113.8	320.8301.1–336.7

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

South Korea vs Thailand: Tropical nights

What the numbers say

Every year

Each country on its own

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