Ireland vs South Korea

Ireland vs South Korea: Tropical nights

Tropical nights in 2014: 0 nights in Ireland and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 68.9 nights.

Watch it change on the map

nights a year · CMIP6

Ireland vs South Korea: Tropical nightsTropical nights in 2014: 0 nights in Ireland and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 68.9 nights.
IrelandSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Korea has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ireland at 0 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearIrelandSouth Korea
2014068.9
2013069.7
2012067.7
2011065.3
2010068.3
2009065.8
2008063.7
2007064.2
2006064.8
2005065.1
2004066.8
2003063.2
2002063.3
2001063.4
2000061.7
1999064.2
1998060.7
1997060.4
1996061.2
1995055.2
1994054.8
1993049.2
1992050.7
1991056.9
1990058.8
1989058.7
1988055.6
1987052.6
1986051.4
1985053.1
1984050.4
1983046.8
1982054
1981053.9
1980051.6
1979052.6
1978056.4
1977051.8
1976052.8
1975054.6
1974052.7
1973050.4
1972051.8
1971049.7
1970050.4
1969055.2
1968051.7
1967057.3
1966052.9
1965052.8
1964052.2
1963057.9
1962053.3
1961058.2
1960055.2
1959054.8
1958056
1957055.8
1956059.1
1955055.7
1954054
1953055.4
1952057
1951054.7
1950059.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIrelandSouth Korea
201500–068.656.8–82
201600–070.353.5–81.8
201700–070.559.5–82.9
201800–069.156.9–81.2
201900–074.663.1–84.4
202000–07157.6–83
202100–070.252.7–84.1
202200–072.563–81.2
202300–074.563.2–84.2
202400–073.558.6–87.1
202500–075.762.3–87.1
202600–07564–88.4
202700–074.163.4–88.9
202800–077.361.5–87.9
202900–075.463.1–86.7
203000–075.364.5–87.6
203100–076.763.6–87.3
203200–076.761–89.2
203300–078.860–92.7
203400–077.264.7–87.2
203500–08168.9–92.1
203600–081.964.1–95
203700–078.465.8–89.3
203800–078.866.9–89.4
203900–077.564.7–89.2
204000–0.180.567.4–92.7
204100–080.966.4–97.7
204200–082.469.1–95
204300–083.268.5–97.9
204400–083.169.3–91.6
204500–08170.4–92.2
204600–08668.3–95.2
204700–083.469.7–96.7
204800–082.769.2–95.2
204900–0.181.669–96.8
205000–081.569.8–93.8
205100–0.184.572.7–98.8
205200–0.183.167.8–98.5
205300–086.969.8–98.1
205400–0.184.773.3–97.5
205500–086.570.8–101.3
205600–085.874.5–99.8
205700–0.287.976.1–100.7
205800–0.386.275.2–99.4
205900–086.766.9–100.4
206000–0.386.371.9–101.9
206100–0.18974.8–99.5
206200–0.187.772.3–102.2
206300–0.286.774.6–101.2
206400–086.673.6–100.3
206500–0.291.575.3–102.2
206600–089.272.6–100.5
206700–0.590.372.7–102.6
206800–0.190.473.8–106.4
206900–0.19174.5–102.5
207000–0.189.774.6–107
207100–0.192.674.9–107.9
207200–090.976.6–103.9
207300–0.691.376.2–104
207400–0.291.974.6–107
207500–0.194.576.4–103.7
207600–0.693.477.5–105.6
207700–0.195.776.3–107.2
207800–0.793.576.9–110.5
207900–0.191.179.2–105.7
208000–092.481.7–107.1
208100–0.193.878–108.8
208200–0.396.279.9–110.1
208300–0.194.481.1–108
208400–091.574.4–107.3
208500–0.19481.4–107.4
208600–1.293.678.5–111.5
208700–1.194.480.9–113.5
208800–0.293.779.8–108.5
208900–0.494.478.9–107
209000–0.197.979.5–109
209100–0.495.280.6–107.7
209200–0.39580–106.3
209300–0.295.379.5–109.9
209400–0.392.279.8–111
209500–0.694.884–112.2
209600–0.6100.481–113.2
209700–0.697.278.6–108.8
209800–0.997.479.9–110.4
209900–0.695.879.9–109.3
210000–0.296.381.6–113.8

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

Ireland vs South Korea

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment