Myanmar (Burma) vs South Korea

Myanmar (Burma) vs South Korea: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 133 nights, or 2.93 times that in South Korea.

nights a year · CMIP6

Myanmar (Burma) vs South Korea: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 133 nights, or 2.93 times that in South Korea.
Myanmar (Burma)South KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Myanmar (Burma) at 244.5 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)South Korea
2014201.968.9
2013203.169.7
2012201.167.7
2011200.965.3
2010202.168.3
200919965.8
2008198.163.7
2007196.864.2
2006198.264.8
2005196.765.1
2004200.366.8
2003195.363.2
2002196.663.3
200119963.4
2000197.261.7
1999196.464.2
1998194.760.7
1997194.460.4
1996191.461.2
1995189.955.2
1994188.854.8
199318549.2
1992180.550.7
1991191.756.9
1990191.558.8
1989190.358.7
1988190.755.6
1987190.852.6
1986189.751.4
1985187.453.1
1984189.150.4
1983182.346.8
1982186.754
1981188.453.9
198018951.6
1979189.852.6
1978186.856.4
1977187.451.8
1976185.852.8
1975183.654.6
1974185.552.7
1973187.550.4
1972184.851.8
1971185.249.7
1970184.950.4
1969184.355.2
1968183.751.7
1967182.357.3
1966186.252.9
1965182.952.8
1964180.652.2
1963183.157.9
1962187.353.3
1961188.758.2
1960187.155.2
1959186.554.8
1958187.156
1957186.255.8
1956187.959.1
1955185.955.7
1954185.754
195318555.4
1952186.157
1951187.154.7
1950186.959.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)South Korea
2015205.2186.4–218.968.656.8–82
2016202.8186.2–218.870.353.5–81.8
2017203.4187.3–218.370.559.5–82.9
2018205.5190.9–219.969.156.9–81.2
2019205.2186.7–222.274.663.1–84.4
2020208.2188.5–223.57157.6–83
2021208.9191.2–224.170.252.7–84.1
2022209.9192.7–224.972.563–81.2
2023210.6195.4–226.374.563.2–84.2
2024210.4193.8–226.673.558.6–87.1
2025209.9190.3–225.275.762.3–87.1
2026212.2194.3–229.27564–88.4
2027212195.6–228.674.163.4–88.9
2028213195.7–227.277.361.5–87.9
2029215.3193.9–231.975.463.1–86.7
2030212.2194.9–22875.364.5–87.6
2031214.3197.2–230.876.763.6–87.3
2032215199.3–229.676.761–89.2
2033215.5198.5–230.178.860–92.7
2034214.9198.4–233.577.264.7–87.2
2035214.9199.2–236.88168.9–92.1
2036216198.7–234.581.964.1–95
2037217.2199.6–233.578.465.8–89.3
2038220.7204.8–235.178.866.9–89.4
2039219.7202.4–234.377.564.7–89.2
2040219.2202.9–23580.567.4–92.7
2041220.7203.9–237.780.966.4–97.7
2042221.8206.1–237.282.469.1–95
2043219.5201.2–237.183.268.5–97.9
2044221.4201.6–239.683.169.3–91.6
2045223.7204.8–241.58170.4–92.2
2046223.2203.2–240.28668.3–95.2
2047224.3204.8–241.183.469.7–96.7
2048226.4207.7–243.882.769.2–95.2
2049226.5205.6–242.881.669–96.8
2050227209.3–243.581.569.8–93.8
2051229.6212.4–246.484.572.7–98.8
2052227.2208.6–244.283.167.8–98.5
2053227.9208.7–247.786.969.8–98.1
2054227.9209.6–244.884.773.3–97.5
2055229.1209.8–247.586.570.8–101.3
2056231.8210.4–252.185.874.5–99.8
2057228.6208–24987.976.1–100.7
2058228.9208.8–24986.275.2–99.4
2059230.7212.1–247.586.766.9–100.4
2060234.7211.1–251.586.371.9–101.9
2061231.9213–247.78974.8–99.5
2062233.6209.9–252.887.772.3–102.2
2063233215.4–250.586.774.6–101.2
2064233.2214.4–251.386.673.6–100.3
2065230.7210.4–250.791.575.3–102.2
2066233.5214.3–251.289.272.6–100.5
2067233211.5–253.390.372.7–102.6
2068233.1212.4–253.790.473.8–106.4
2069236.1214.6–253.49174.5–102.5
2070235.9218.1–253.489.774.6–107
2071235.1213.5–259.692.674.9–107.9
2072234.6216.1–252.690.976.6–103.9
2073237.2219.3–257.291.376.2–104
2074236.4215.7–254.591.974.6–107
2075236.7214.4–255.994.576.4–103.7
2076237.7216–25793.477.5–105.6
2077237.5219–258.795.776.3–107.2
2078238.5217.3–257.893.576.9–110.5
2079238.5219.2–257.291.179.2–105.7
2080240.5218.8–258.392.481.7–107.1
2081240219.7–260.993.878–108.8
2082239.4217.1–258.896.279.9–110.1
2083239.1220.5–259.294.481.1–108
2084241.3218.9–260.691.574.4–107.3
2085241.7218.8–260.79481.4–107.4
2086241.7217.4–262.793.678.5–111.5
2087241.4220.5–260.994.480.9–113.5
2088241.8222.3–261.593.779.8–108.5
2089240.7221.2–262.694.478.9–107
2090241.3224.4–260.997.979.5–109
2091242.6220.3–262.595.280.6–107.7
2092241.9221.6–263.39580–106.3
2093242.1220.2–26095.379.5–109.9
2094242.5222.5–261.992.279.8–111
2095244.9224–264.494.884–112.2
2096243.9221.1–266.5100.481–113.2
2097243.6219.6–264.297.278.6–108.8
2098243.6222.5–263.997.479.9–110.4
2099244.7221.8–263.595.879.9–109.3
2100244.5223.2–261.896.381.6–113.8

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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