Ethiopia vs South Korea

Ethiopia vs South Korea: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 76 nights, or 2.1 times that in South Korea.

nights a year · CMIP6

Ethiopia vs South Korea: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 76 nights, or 2.1 times that in South Korea.
EthiopiaSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ethiopia at 201.7 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaSouth Korea
2014144.968.9
2013145.169.7
2012144.467.7
2011145.665.3
2010142.468.3
2009140.365.8
2008137.163.7
2007138.264.2
2006138.764.8
2005138.165.1
2004139.166.8
2003138.863.2
2002137.463.3
2001139.263.4
2000135.561.7
1999132.664.2
1998132.960.7
1997132.760.4
1996129.761.2
1995127.855.2
1994126.354.8
1993122.549.2
1992119.750.7
1991129.556.9
1990132.758.8
1989129.458.7
1988128.255.6
1987126.452.6
1986128.151.4
1985122.853.1
1984124.850.4
1983120.646.8
1982126.354
198112753.9
1980124.951.6
1979125.152.6
1978124.756.4
1977125.851.8
197612252.8
1975119.554.6
197412452.7
1973125.250.4
1972122.351.8
1971120.649.7
1970121.350.4
1969120.455.2
1968119.151.7
1967118.157.3
1966119.552.9
1965117.452.8
1964116.652.2
1963115.757.9
1962121.653.3
1961124.258.2
1960124.555.2
1959121.654.8
1958124.156
1957123.255.8
1956120.959.1
1955122.855.7
1954121.654
1953121.255.4
1952122.857
195112354.7
195012259.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaSouth Korea
2015146.6129.4–163.968.656.8–82
2016144.1127–160.670.353.5–81.8
2017148.3129.2–164.970.559.5–82.9
2018149.6131.6–16669.156.9–81.2
2019146.2129.3–16674.663.1–84.4
2020149.4129.6–168.57157.6–83
2021150.7132.1–17070.252.7–84.1
2022154135.7–171.272.563–81.2
2023153.5135.4–171.474.563.2–84.2
2024156.5135.9–175.673.558.6–87.1
2025154132.6–175.575.762.3–87.1
2026153132–1757564–88.4
2027154.2134.4–175.374.163.4–88.9
2028157.5138.3–177.477.361.5–87.9
2029159.2141.8–176.875.463.1–86.7
2030156.8136.3–175.775.364.5–87.6
2031161.4142.4–179.176.763.6–87.3
2032161.7143.1–182.576.761–89.2
2033161.8140–180.978.860–92.7
2034158.8141.5–184.377.264.7–87.2
2035162141.7–184.28168.9–92.1
2036160.5143.6–179.481.964.1–95
2037165145.8–184.578.465.8–89.3
2038167.1146.5–186.778.866.9–89.4
2039164.5143.9–18677.564.7–89.2
2040165.9146.2–190.180.567.4–92.7
2041167.9146.3–189.380.966.4–97.7
2042167.7146–194.382.469.1–95
2043167.3145.5–190.883.268.5–97.9
2044168.2148.2–189.983.169.3–91.6
2045170.7149.1–192.38170.4–92.2
2046175.3150–198.68668.3–95.2
2047176.9151.8–197.583.469.7–96.7
2048177.5155.4–199.182.769.2–95.2
2049177.5157.9–198.481.669–96.8
2050176.4153.8–19981.569.8–93.8
2051176.6155.3–199.784.572.7–98.8
2052177155.6–200.783.167.8–98.5
2053176.7154.2–201.686.969.8–98.1
2054177.6156.9–201.184.773.3–97.5
2055180.6155.2–202.386.570.8–101.3
2056177.3155–205.485.874.5–99.8
2057180.3159.3–205.587.976.1–100.7
2058182.6153.7–209.486.275.2–99.4
2059185.7160.1–210.686.766.9–100.4
2060185.9160.3–210.486.371.9–101.9
2061183.3158.3–211.78974.8–99.5
2062183.8155.4–21387.772.3–102.2
2063184.5159.1–208.686.774.6–101.2
2064186.7160.6–207.286.673.6–100.3
2065183.7162.4–212.991.575.3–102.2
2066187.1165.4–210.189.272.6–100.5
2067187.1160.7–214.590.372.7–102.6
2068187.6160.4–215.890.473.8–106.4
2069187.8165.4–215.89174.5–102.5
2070187.9161.6–216.989.774.6–107
2071192.7165.2–219.592.674.9–107.9
2072193.6167.4–214.590.976.6–103.9
2073193.3169.7–218.791.376.2–104
2074188.5163.9–21991.974.6–107
2075191.9162.7–218.694.576.4–103.7
2076195166.9–218.993.477.5–105.6
2077194.1169.3–223.395.776.3–107.2
2078192.1168.4–218.693.576.9–110.5
2079193.4166.6–220.991.179.2–105.7
2080196.1169.2–222.492.481.7–107.1
2081194.6171–221.493.878–108.8
2082195.4168.8–219.996.279.9–110.1
2083194.6168.2–228.794.481.1–108
2084198.5170.7–224.291.574.4–107.3
2085198.4173.1–226.39481.4–107.4
2086198.6172.3–228.493.678.5–111.5
2087199170.6–226.694.480.9–113.5
2088199170.7–227.793.779.8–108.5
2089198.6171.2–226.294.478.9–107
2090198.6173.4–227.797.979.5–109
2091203.6171.9–232.195.280.6–107.7
2092200.7172.5–229.79580–106.3
2093201.4175.2–228.695.379.5–109.9
2094200.2174–228.992.279.8–111
2095203.9175.7–231.994.884–112.2
2096199.1170.5–230.8100.481–113.2
2097198.4171.8–229.397.278.6–108.8
2098198.7172.1–231.597.479.9–110.4
2099201.8172.8–233.395.879.9–109.3
2100201.7175.1–231.896.381.6–113.8

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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