South Korea vs Spain

South Korea vs Spain: Tropical nights

Tropical nights in 2014: 68.9 nights in South Korea and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 52.1 nights, or 4.09 times that in Spain.

nights a year · CMIP6

South Korea vs Spain: Tropical nightsTropical nights in 2014: 68.9 nights in South Korea and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 52.1 nights, or 4.09 times that in Spain.
South KoreaSpainCMIP6 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 South Korea at 96.3 nights and Spain at 51.6 nights in 2100.

Every year

nights a year · CMIP6

YearSouth KoreaSpain
201468.916.8
201369.717.9
201267.716.4
201165.316.2
201068.317.5
200965.816.2
200863.716.5
200764.215.3
200664.817.6
200565.116.5
200466.816.4
200363.214.5
200263.314.9
200163.415.6
200061.713.8
199964.213.9
199860.713.5
199760.412.7
199661.212.9
199555.211.4
199454.812.1
199349.211
199250.79.5
199156.912.3
199058.813.1
198958.711.5
198855.612.3
198752.611.1
198651.49.2
198553.18.9
198450.48.9
198346.89.5
19825410
198153.910.1
198051.69.6
197952.610.5
197856.411.1
197751.89.7
197652.88.3
197554.68.7
197452.710
197350.48.9
197251.89.6
197149.78.4
197050.48
196955.29.2
196851.79
196757.38.8
196652.98.1
196552.87.6
196452.210.1
196357.98.7
196253.39.5
196158.29.4
196055.29.3
195954.810.2
1958569.7
195755.89.5
195659.110.5
195555.710.4
1954549.8
195355.49
19525710.5
195154.710.2
195059.811.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth KoreaSpain
201568.656.8–8220.413.3–30.2
201670.353.5–81.820.113.2–33.4
201770.559.5–82.921.313.3–31.1
201869.156.9–81.222.815.6–34.2
201974.663.1–84.422.714.6–33.6
20207157.6–8322.314.2–32.8
202170.252.7–84.123.114.2–34.2
202272.563–81.226.515–37.6
202374.563.2–84.225.215.5–35.2
202473.558.6–87.125.216.8–37
202575.762.3–87.124.914–36.5
20267564–88.424.814.9–36.8
202774.163.4–88.926.817–38.3
202877.361.5–87.927.315.8–39.5
202975.463.1–86.72816–41.8
203075.364.5–87.627.816.8–38
203176.763.6–87.32817–39
203276.761–89.229.720.5–40.3
203378.860–92.728.920–39.2
203477.264.7–87.231.419.3–44.8
20358168.9–92.130.619.2–43.3
203681.964.1–9530.721.4–43.8
203778.465.8–89.331.319.8–41.7
203878.866.9–89.431.621.5–45
203977.564.7–89.231.723–43.8
204080.567.4–92.730.119–46
204180.966.4–97.730.419.5–43.3
204282.469.1–9531.521.5–43.1
204383.268.5–97.93219.4–47.6
204483.169.3–91.63221.8–45.9
20458170.4–92.234.122.7–47.8
20468668.3–95.233.921.1–47.3
204783.469.7–96.734.322.3–49
204882.769.2–95.235.723.1–46
204981.669–96.837.324.6–52.2
205081.569.8–93.837.425.7–52.7
205184.572.7–98.836.322.6–51.6
205283.167.8–98.538.224.4–51.2
205386.969.8–98.136.325.2–51.9
205484.773.3–97.53623–53
205586.570.8–101.339.126.3–52.3
205685.874.5–99.838.227–52.8
205787.976.1–100.740.526.6–53.5
205886.275.2–99.441.827–54.8
205986.766.9–100.439.225.5–55.2
206086.371.9–101.941.929.2–55
20618974.8–99.542.629.2–58.6
206287.772.3–102.241.429–55.5
206386.774.6–101.245.225.2–59.7
206486.673.6–100.342.625.1–57.5
206591.575.3–102.240.825.4–61.7
206689.272.6–100.54228.9–57.3
206790.372.7–102.645.531.3–61.4
206890.473.8–106.441.528.4–58.9
20699174.5–102.54630–59.7
207089.774.6–10745.430.7–63.3
207192.674.9–107.945.931.7–62.2
207290.976.6–103.947.130.2–62.5
207391.376.2–10446.630.5–63.8
207491.974.6–10743.429.5–61.4
207594.576.4–103.745.529–60.5
207693.477.5–105.646.930.2–64.9
207795.776.3–107.246.129.6–63
207893.576.9–110.54729.9–67.3
207991.179.2–105.743.731.4–63.5
208092.481.7–107.146.830–63.9
208193.878–108.84733.2–65
208296.279.9–110.14834.3–63.4
208394.481.1–10849.932.4–65.9
208491.574.4–107.349.234.7–65.4
20859481.4–107.45037.5–66
208693.678.5–111.55133.7–67.6
208794.480.9–113.55236–70.2
208893.779.8–108.552.133.4–72.5
208994.478.9–10750.936.8–67.7
209097.979.5–10952.832.7–72.3
209195.280.6–107.754.133.4–70
20929580–106.351.532.8–66.4
209395.379.5–109.948.734.9–66.7
209492.279.8–11150.331.4–70.1
209594.884–112.252.733.7–72.2
2096100.481–113.254.134.9–72.5
209797.278.6–108.853.136.1–71.9
209897.479.9–110.45234.3–70.7
209995.879.9–109.355.737–70.7
210096.381.6–113.851.634.3–71.2

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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