Indonesia vs South Korea

Indonesia vs South Korea: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 237.6 nights, or 4.45 times that in South Korea.

nights a year · CMIP6

Indonesia vs South Korea: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 237.6 nights, or 4.45 times that in South Korea.
IndonesiaSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaSouth Korea
2014306.568.9
2013306.469.7
2012306.367.7
2011304.665.3
2010305.668.3
2009303.965.8
2008303.463.7
2007302.864.2
2006302.864.8
2005303.165.1
2004303.866.8
2003301.963.2
2002301.563.3
2001302.563.4
2000300.961.7
1999300.464.2
1998299.160.7
1997297.960.4
1996296.961.2
1995296.755.2
1994294.654.8
1993291.649.2
1992288.550.7
1991297.556.9
1990298.658.8
198929658.7
1988296.555.6
1987295.652.6
1986295.851.4
1985292.853.1
1984293.450.4
1983290.146.8
1982294.454
1981294.853.9
1980294.551.6
1979294.152.6
1978292.456.4
1977293.451.8
1976290.852.8
1975290.754.6
1974291.552.7
197329350.4
1972290.751.8
1971291.249.7
1970288.950.4
1969290.455.2
1968289.151.7
1967288.457.3
1966290.552.9
1965288.152.8
1964286.252.2
1963286.457.9
1962291.253.3
1961292.958.2
1960292.855.2
1959291.954.8
1958293.356
1957290.855.8
1956291.559.1
1955292.455.7
195429054
1953291.455.4
1952291.757
1951291.754.7
1950291.859.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaSouth Korea
2015308295.7–315.168.656.8–82
2016307.5296.9–315.670.353.5–81.8
2017308.4295.5–315.670.559.5–82.9
2018308.9296.4–316.669.156.9–81.2
2019309.9297.8–316.774.663.1–84.4
2020310.9299–318.67157.6–83
2021310.4298.7–316.470.252.7–84.1
2022311.4300–319.672.563–81.2
2023311.4300.1–320.674.563.2–84.2
2024313.2302–321.273.558.6–87.1
2025312300.2–321.975.762.3–87.1
2026312.6299.9–322.87564–88.4
2027312.7301–321.674.163.4–88.9
2028313.8302.4–321.977.361.5–87.9
2029315.5303.9–324.175.463.1–86.7
2030314.2303.1–322.675.364.5–87.6
2031314.4301.6–321.976.763.6–87.3
2032316.9304.8–325.876.761–89.2
2033316.6305.4–323.378.860–92.7
2034315.4303.9–323.977.264.7–87.2
2035316.3305.6–327.98168.9–92.1
2036317.7305.2–326.281.964.1–95
2037318.1306.6–325.278.465.8–89.3
2038319.3307.6–326.778.866.9–89.4
2039319.4307.7–326.777.564.7–89.2
2040318.5306.5–32980.567.4–92.7
2041320.2308.3–32880.966.4–97.7
2042320308.7–329.282.469.1–95
2043318.6306.6–327.883.268.5–97.9
2044321309–329.683.169.3–91.6
2045320.8308.6–329.88170.4–92.2
2046322.8308.8–3318668.3–95.2
2047323.2308.8–33383.469.7–96.7
2048322.3310.5–332.382.769.2–95.2
2049323.8311.6–334.181.669–96.8
2050323.3310.3–333.581.569.8–93.8
2051323.6311.2–334.484.572.7–98.8
2052325.1311.7–334.783.167.8–98.5
2053323.9310.9–333.886.969.8–98.1
2054324.4311.9–335.484.773.3–97.5
2055325.3312.6–33586.570.8–101.3
2056325.9312.4–337.285.874.5–99.8
2057326.9311.9–335.287.976.1–100.7
2058326.4313–336.386.275.2–99.4
2059326.4313.9–337.886.766.9–100.4
2060329.5314.9–338.286.371.9–101.9
2061327.9313.6–336.98974.8–99.5
2062327.6312.4–339.187.772.3–102.2
2063327.6313.9–339.486.774.6–101.2
2064328.8314.4–338.686.673.6–100.3
2065327.6314.3–337.991.575.3–102.2
2066328.6314.7–338.589.272.6–100.5
2067328.8314.3–33890.372.7–102.6
2068329.8314.4–339.990.473.8–106.4
2069329.5315.5–339.39174.5–102.5
2070328.6315.1–338.889.774.6–107
2071331.4315.5–340.492.674.9–107.9
2072330.3315.9–339.490.976.6–103.9
2073331.4317.7–34191.376.2–104
2074329.9316.8–341.191.974.6–107
2075330.5315.2–340.294.576.4–103.7
2076331.5316.2–341.293.477.5–105.6
2077332315.9–341.895.776.3–107.2
2078331.4318.2–340.993.576.9–110.5
2079331.5316.6–341.591.179.2–105.7
2080332.4317.4–343.292.481.7–107.1
2081332.3318.4–341.893.878–108.8
2082332.8317.8–340.496.279.9–110.1
2083333.1318.7–342.694.481.1–108
2084333317.8–342.791.574.4–107.3
2085332.6318.1–342.79481.4–107.4
2086333.1318.9–342.393.678.5–111.5
2087332.6318–343.294.480.9–113.5
2088334.5319.5–343.193.779.8–108.5
2089333.6319–342.694.478.9–107
2090333.3319.6–343.397.979.5–109
2091334.5318.2–343.995.280.6–107.7
2092335.1319.7–343.69580–106.3
2093333.9320–344.995.379.5–109.9
2094335.6320.4–342.892.279.8–111
2095335.4319.7–34394.884–112.2
2096334.3319.4–346.1100.481–113.2
2097334.2319.5–343.397.278.6–108.8
2098334.9319.4–343.497.479.9–110.4
2099334.4319.4–344.695.879.9–109.3
2100334.7318.7–343.396.381.6–113.8

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

Indonesia vs South Korea

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