Italy vs South Korea

Italy vs South Korea: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 42.7 nights, or 2.62 times that in Italy.

nights a year · CMIP6

Italy vs South Korea: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Korea, by 42.7 nights, or 2.62 times that in Italy.
ItalySouth 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 Italy at 65.1 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearItalySouth Korea
201426.368.9
201324.769.7
201224.867.7
201124.665.3
201027.168.3
200923.765.8
200824.163.7
200721.564.2
200624.664.8
200522.565.1
200424.566.8
200323.863.2
200220.663.3
200120.863.4
200021.761.7
199920.364.2
199818.960.7
199718.960.4
199618.961.2
199517.955.2
199417.454.8
199316.349.2
199215.150.7
19911856.9
199018.258.8
198916.658.7
198815.555.6
19871652.6
19861551.4
198514.553.1
198415.750.4
198315.346.8
198214.154
198115.353.9
198015.951.6
197914.552.6
197816.556.4
197713.551.8
197613.852.8
19751454.6
197414.852.7
197313.550.4
197213.751.8
197115.349.7
19701450.4
196914.555.2
196813.851.7
196713.657.3
196613.252.9
196512.852.8
196413.252.2
196314.257.9
196215.553.3
196113.958.2
196014.955.2
195916.654.8
195814.456
195715.555.8
195616.759.1
195516.655.7
195415.754
195315.455.4
195216.657
19511654.7
195015.359.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalySouth Korea
20153021.7–40.468.656.8–82
201629.618–42.270.353.5–81.8
201731.820.2–43.770.559.5–82.9
20183122–44.369.156.9–81.2
201931.521.3–43.274.663.1–84.4
202031.619.7–44.37157.6–83
20213420.8–46.970.252.7–84.1
202237.121.3–50.672.563–81.2
202333.121.3–47.474.563.2–84.2
202435.521.6–48.473.558.6–87.1
202537.720.5–51.175.762.3–87.1
202638.926.6–52.27564–88.4
202734.322.4–49.774.163.4–88.9
202837.724.4–53.177.361.5–87.9
202937.824.9–5575.463.1–86.7
203037.925.7–54.775.364.5–87.6
203137.223.8–5176.763.6–87.3
203239.226.2–53.876.761–89.2
203340.426–50.378.860–92.7
203442.525.1–57.277.264.7–87.2
203542.728.9–58.38168.9–92.1
203641.127.7–59.981.964.1–95
20374328.1–54.878.465.8–89.3
203841.628.5–61.378.866.9–89.4
20394129.4–56.477.564.7–89.2
204042.428.1–59.180.567.4–92.7
204141.927.2–58.780.966.4–97.7
204243.529.6–5982.469.1–95
20434528.7–59.583.268.5–97.9
204444.929.4–59.983.169.3–91.6
204545.230.3–59.28170.4–92.2
20464627.3–62.48668.3–95.2
204749.132.4–63.683.469.7–96.7
204846.228.3–65.782.769.2–95.2
204948.229.5–65.781.669–96.8
205049.536.4–64.481.569.8–93.8
205148.831.6–68.384.572.7–98.8
205250.330.9–68.183.167.8–98.5
205348.235.9–6786.969.8–98.1
205449.435.3–66.184.773.3–97.5
205552.233.7–67.786.570.8–101.3
205650.836.2–71.685.874.5–99.8
205750.232.8–65.687.976.1–100.7
205855.337.5–70.886.275.2–99.4
205951.934.5–74.186.766.9–100.4
206052.938.2–68.186.371.9–101.9
206154.338.3–69.88974.8–99.5
206253.936.9–6987.772.3–102.2
206356.437.6–72.186.774.6–101.2
206455.938.5–71.386.673.6–100.3
20655537.3–73.391.575.3–102.2
206653.935.8–73.889.272.6–100.5
206761.141.2–76.690.372.7–102.6
206856.241.7–7390.473.8–106.4
206958.741.8–739174.5–102.5
207055.738.9–74.489.774.6–107
207159.637.8–76.692.674.9–107.9
207259.643.5–74.690.976.6–103.9
207356.939.4–71.691.376.2–104
207454.836.7–73.791.974.6–107
207556.941.8–75.494.576.4–103.7
207659.941.9–77.793.477.5–105.6
207757.437.9–74.195.776.3–107.2
207860.540.5–80.793.576.9–110.5
207960.637.1–83.391.179.2–105.7
208059.743.1–7892.481.7–107.1
20815943.7–78.993.878–108.8
208263.945.5–80.296.279.9–110.1
208360.842–79.794.481.1–108
208462.547.3–82.191.574.4–107.3
208565.246.3–799481.4–107.4
208664.445.6–80.193.678.5–111.5
208763.743.8–8494.480.9–113.5
208867.247.4–84.493.779.8–108.5
208964.546–82.994.478.9–107
209065.842.8–80.597.979.5–109
209166.745.3–84.795.280.6–107.7
209264.838.5–82.39580–106.3
209363.644.7–8395.379.5–109.9
209462.445–8292.279.8–111
20956643.6–83.594.884–112.2
20966542.9–85.8100.481–113.2
209765.844.9–84.497.278.6–108.8
209864.647.9–84.297.479.9–110.4
209967.742.2–81.995.879.9–109.3
210065.142.5–83.296.381.6–113.8

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

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