Malaysia vs South Korea

Malaysia vs South Korea: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 254.1 nights, or 4.69 times that in South Korea.

nights a year · CMIP6

Malaysia vs South Korea: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 254.1 nights, or 4.69 times that in South Korea.
MalaysiaSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malaysia at 354.8 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaSouth Korea
201432368.9
2013323.969.7
2012323.367.7
2011320.965.3
2010320.968.3
2009320.365.8
2008317.963.7
2007317.864.2
2006317.364.8
2005318.465.1
2004319.466.8
200331663.2
200231663.3
2001316.563.4
2000314.561.7
1999312.964.2
1998312.560.7
1997310.660.4
1996307.161.2
1995307.355.2
1994304.154.8
1993298.249.2
1992293.650.7
1991308.956.9
1990310.458.8
1989306.958.7
1988306.855.6
198730652.6
1986305.551.4
1985301.753.1
1984302.150.4
1983297.246.8
1982302.654
1981303.753.9
1980303.351.6
1979302.452.6
197830156.4
1977301.351.8
1976298.952.8
1975297.754.6
1974298.152.7
1973299.150.4
197229751.8
1971298.349.7
197029650.4
1969297.455.2
1968295.251.7
1967293.157.3
1966296.252.9
1965293.152.8
1964291.352.2
1963291.657.9
1962299.153.3
1961299.558.2
1960300.155.2
1959299.954.8
1958301.756
195729955.8
1956298.159.1
1955299.355.7
1954296.854
1953298.855.4
1952299.457
1951299.154.7
195030059.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaSouth Korea
2015324.4308.5–333.768.656.8–82
2016323.8310.5–334.970.353.5–81.8
2017325.6309.9–334.470.559.5–82.9
2018325.7310.7–335.469.156.9–81.2
2019326.4311.9–335.374.663.1–84.4
2020328313.4–337.77157.6–83
2021328.8314–336.370.252.7–84.1
2022329315.3–33972.563–81.2
2023330.1316–340.574.563.2–84.2
2024332319.6–340.773.558.6–87.1
2025330.3317.7–34275.762.3–87.1
2026330.2315.1–342.97564–88.4
2027331315.2–342.474.163.4–88.9
2028332.4319–341.977.361.5–87.9
2029334.4322.5–344.975.463.1–86.7
2030333.4319.2–342.675.364.5–87.6
2031333.8317.1–342.576.763.6–87.3
2032336.5323.3–345.976.761–89.2
2033336.4322.5–343.378.860–92.7
2034334.8322.7–344.377.264.7–87.2
2035334.7323.3–347.98168.9–92.1
2036336.9320.7–346.281.964.1–95
2037338.3325.4–345.378.465.8–89.3
2038339.7326.9–347.478.866.9–89.4
2039340326–347.477.564.7–89.2
2040338.6325.1–34980.567.4–92.7
2041340.3326.3–348.180.966.4–97.7
2042339.9326.9–349.682.469.1–95
2043338.3324.3–348.383.268.5–97.9
2044340.6326.3–350.483.169.3–91.6
2045340.9327.4–349.88170.4–92.2
2046343.3327.6–351.48668.3–95.2
2047343325.3–352.983.469.7–96.7
2048342.6329–352.582.769.2–95.2
2049343.8331.1–354.181.669–96.8
2050342.7328.1–353.581.569.8–93.8
2051344.5330.7–354.384.572.7–98.8
2052345.1330.3–35583.167.8–98.5
2053344.2331–353.586.969.8–98.1
2054345330.1–354.684.773.3–97.5
2055346.1332–354.386.570.8–101.3
2056346.5332.2–356.685.874.5–99.8
2057347.9332.3–355.487.976.1–100.7
2058347333.5–355.686.275.2–99.4
2059346.9333.4–356.286.766.9–100.4
2060349.7334.9–357.386.371.9–101.9
2061348.4334.1–356.18974.8–99.5
2062348.4331.8–357.787.772.3–102.2
2063348.7333.2–357.786.774.6–101.2
2064349.1333.8–357.586.673.6–100.3
2065348.6334.6–356.891.575.3–102.2
2066349.3335–357.589.272.6–100.5
2067349.1334–356.690.372.7–102.6
2068350334.6–358.790.473.8–106.4
2069349.5334.2–357.99174.5–102.5
2070349.2336.2–357.789.774.6–107
2071350.9336.1–358.692.674.9–107.9
2072351337.2–357.990.976.6–103.9
2073351.1338.7–359.991.376.2–104
2074350337.8–359.491.974.6–107
2075350.5335.4–358.194.576.4–103.7
2076351.6337.5–359.793.477.5–105.6
2077352.4336.4–359.995.776.3–107.2
2078351.3338.9–358.893.576.9–110.5
2079351.8337.9–359.791.179.2–105.7
2080352.4338.8–360.792.481.7–107.1
2081352.2337.3–359.793.878–108.8
2082352.7336.9–358.996.279.9–110.1
2083352.5339.6–360.494.481.1–108
2084353.5337.9–360.491.574.4–107.3
2085352.9340.2–360.29481.4–107.4
2086352.8339.9–36093.678.5–111.5
2087352.8338.4–36194.480.9–113.5
2088354340–360.993.779.8–108.5
2089353.7339.7–359.994.478.9–107
2090353.3340.3–360.697.979.5–109
2091354.7338.9–36195.280.6–107.7
2092355.3340.4–361.79580–106.3
2093353.5339.3–36295.379.5–109.9
2094355.4341.2–360.492.279.8–111
2095355339.4–360.694.884–112.2
2096353.6339.6–363.1100.481–113.2
2097354.3339.5–360.697.278.6–108.8
2098354.8340.2–360.797.479.9–110.4
2099353.7340–361.895.879.9–109.3
2100354.8340.4–360.896.381.6–113.8

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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