Israel vs South Korea

Israel vs South Korea: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 29 nights, or 1.42 times that in South Korea.

nights a year · CMIP6

Israel vs South Korea: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 29 nights, or 1.42 times that in South Korea.
IsraelSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Israel has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Israel at 149.4 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelSouth Korea
201497.968.9
20139869.7
201296.367.7
201196.165.3
201095.568.3
200992.565.8
200894.163.7
200792.764.2
20069264.8
200592.365.1
200490.766.8
200393.963.2
200289.563.3
20019163.4
200089.561.7
199986.264.2
199884.860.7
199784.260.4
199683.761.2
199579.355.2
199480.154.8
199371.649.2
199274.950.7
199178.456.9
199080.258.8
198976.958.7
198876.555.6
198775.152.6
198678.351.4
19857453.1
198469.450.4
198368.946.8
198273.554
198173.553.9
198075.351.6
197968.752.6
197871.656.4
197772.351.8
197673.252.8
197570.954.6
197472.552.7
197371.950.4
197269.951.8
197173.149.7
197071.650.4
196970.655.2
196869.651.7
196766.957.3
196668.852.9
196563.552.8
196466.152.2
196370.957.9
19627353.3
196171.558.2
196074.955.2
19597554.8
19587356
195774.855.8
195674.359.1
195572.855.7
195471.454
195373.755.4
19527257
195175.154.7
195069.559.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelSouth Korea
2015105.988.4–122.768.656.8–82
2016104.186.9–120.170.353.5–81.8
2017107.892.2–121.470.559.5–82.9
201810993.8–124.269.156.9–81.2
201910989.1–124.574.663.1–84.4
2020111.594.8–123.57157.6–83
202111097.7–128.470.252.7–84.1
2022111.493.6–130.272.563–81.2
2023117.297.9–130.574.563.2–84.2
2024114.5100.4–127.373.558.6–87.1
2025116.698.3–129.275.762.3–87.1
2026115.9104.9–126.27564–88.4
2027115.699–127.174.163.4–88.9
2028116.3100.2–127.977.361.5–87.9
2029117103.1–129.275.463.1–86.7
2030118.6102.1–131.275.364.5–87.6
2031116.8104.4–132.876.763.6–87.3
2032121.4106.5–134.776.761–89.2
2033122.1108.9–134.778.860–92.7
2034119.7103.1–133.477.264.7–87.2
2035122.8105.8–138.88168.9–92.1
2036120.2105.5–136.281.964.1–95
2037121.6106.3–139.478.465.8–89.3
2038126.5105.7–142.178.866.9–89.4
2039127.7110.5–147.177.564.7–89.2
2040124.2109.7–144.980.567.4–92.7
2041126108.4–141.580.966.4–97.7
2042128.5105.8–144.382.469.1–95
2043126.5111.8–144.383.268.5–97.9
2044125.9108.5–142.983.169.3–91.6
2045130.9117.5–148.68170.4–92.2
2046131114.4–147.28668.3–95.2
2047132.3116.1–145.483.469.7–96.7
2048129.9118.5–146.982.769.2–95.2
2049127.9108.7–143.981.669–96.8
2050133.3114.3–14781.569.8–93.8
2051130.3116.7–143.984.572.7–98.8
2052130.3119.9–143.583.167.8–98.5
2053135120.4–149.786.969.8–98.1
2054134.1118.8–149.384.773.3–97.5
2055134.1115.2–150.386.570.8–101.3
2056136110.1–151.185.874.5–99.8
2057132.7110.9–15587.976.1–100.7
2058135.7119.1–155.486.275.2–99.4
2059138.8118.5–156.786.766.9–100.4
2060136.1116.3–159.286.371.9–101.9
2061136119–150.78974.8–99.5
2062139118.7–15687.772.3–102.2
2063137.4120.1–151.286.774.6–101.2
2064139.3121–154.386.673.6–100.3
2065139.6122.3–154.391.575.3–102.2
2066137.3119.6–153.789.272.6–100.5
2067142.8126–157.890.372.7–102.6
2068141.2122.8–156.490.473.8–106.4
2069141.5123.7–157.69174.5–102.5
2070141.8120.5–157.589.774.6–107
2071142.9124.3–161.892.674.9–107.9
2072144.3127–158.590.976.6–103.9
2073143.6127.3–159.291.376.2–104
2074138.8123–162.291.974.6–107
2075138.1120.8–154.694.576.4–103.7
2076143.2126.8–161.593.477.5–105.6
2077142.8120.5–161.695.776.3–107.2
2078143.6128.2–160.693.576.9–110.5
2079148.6123.7–160.291.179.2–105.7
2080145.5123.5–163.792.481.7–107.1
2081143.7128.1–161.293.878–108.8
2082145.8129.5–160.696.279.9–110.1
2083149.4126–163.194.481.1–108
2084148128.2–16491.574.4–107.3
2085149127.9–162.49481.4–107.4
2086148127.4–167.193.678.5–111.5
2087146.4123.7–165.794.480.9–113.5
2088147.6133.5–165.393.779.8–108.5
2089148.4131.4–169.194.478.9–107
2090147.6132.4–168.897.979.5–109
2091151.9131.7–170.695.280.6–107.7
2092148.2132–167.49580–106.3
2093154.1135.3–172.295.379.5–109.9
2094153.2133.6–170.392.279.8–111
2095148.2131.4–164.194.884–112.2
2096150.5130.5–172.6100.481–113.2
2097149.8134.4–172.797.278.6–108.8
2098150.9131.3–170.197.479.9–110.4
2099149.5129–166.695.879.9–109.3
2100149.4130.1–168.596.381.6–113.8

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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