Iran vs South Korea

Iran vs South Korea: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 21.9 nights, or 1.32 times that in South Korea.

nights a year · CMIP6

Iran vs South Korea: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 21.9 nights, or 1.32 times that in South Korea.
IranSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iran at 124.4 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearIranSouth Korea
201490.868.9
201390.669.7
201290.367.7
201189.865.3
20108768.3
200987.265.8
20088863.7
200787.964.2
200688.264.8
200587.165.1
200486.466.8
200385.963.2
200287.763.3
200186.663.4
200086.561.7
199985.164.2
199883.860.7
199784.360.4
199682.461.2
199581.655.2
199480.654.8
199377.749.2
19927750.7
199181.956.9
199083.158.8
198981.758.7
198880.455.6
198779.852.6
198680.151.4
198579.753.1
198478.850.4
198375.546.8
198277.954
198180.253.9
198079.451.6
197980.252.6
197878.156.4
197777.851.8
197677.252.8
197576.654.6
197476.452.7
197376.950.4
197277.451.8
19717549.7
197075.350.4
196975.655.2
196876.351.7
196776.157.3
196675.552.9
196575.352.8
196475.352.2
196376.457.9
196277.553.3
196177.758.2
196077.655.2
195976.854.8
195878.456
195778.255.8
195676.259.1
195576.555.7
195477.654
195377.355.4
195278.257
195176.654.7
195077.759.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranSouth Korea
201594.482.7–10668.656.8–82
201694.183.1–105.370.353.5–81.8
201793.981.7–10470.559.5–82.9
201894.183–106.369.156.9–81.2
201995.183.4–105.874.663.1–84.4
202095.985.5–107.57157.6–83
202197.286–107.770.252.7–84.1
202296.285.2–108.372.563–81.2
202398.485.7–110.674.563.2–84.2
20249885.1–110.573.558.6–87.1
202598.787.2–110.575.762.3–87.1
202699.186.7–111.77564–88.4
2027100.288.7–112.174.163.4–88.9
202899.686.2–111.677.361.5–87.9
202999.386.7–109.975.463.1–86.7
2030100.889.8–111.675.364.5–87.6
2031102.990.1–114.876.763.6–87.3
2032101.289–113.976.761–89.2
2033102.889.9–115.178.860–92.7
2034104.690.7–117.377.264.7–87.2
203510592.1–116.28168.9–92.1
2036103.591.4–115.281.964.1–95
203710693.1–119.478.465.8–89.3
2038105.993.2–116.578.866.9–89.4
2039104.392.9–116.677.564.7–89.2
2040105.592.3–118.480.567.4–92.7
2041104.892.5–116.480.966.4–97.7
2042107.793.4–120.782.469.1–95
204310692.9–118.883.268.5–97.9
2044106.893.6–121.283.169.3–91.6
2045108.795.1–121.88170.4–92.2
2046109.296.1–121.98668.3–95.2
2047110.596.9–123.383.469.7–96.7
2048111.498.6–12482.769.2–95.2
204911095.7–123.481.669–96.8
2050112.199.6–125.181.569.8–93.8
2051111.797.6–124.184.572.7–98.8
205211298.3–12683.167.8–98.5
2053111.597.5–12486.969.8–98.1
2054111.899–126.384.773.3–97.5
2055114.6101.4–12886.570.8–101.3
2056113.1100.2–126.285.874.5–99.8
2057113.899.9–128.987.976.1–100.7
2058114.2100–127.786.275.2–99.4
2059113.498.9–126.386.766.9–100.4
2060116.3100.3–129.586.371.9–101.9
2061115100.5–127.68974.8–99.5
2062115.799.7–131.187.772.3–102.2
2063117103.7–130.386.774.6–101.2
2064115.1101.7–130.386.673.6–100.3
2065117.3102.8–132.391.575.3–102.2
2066117.7103.7–132.189.272.6–100.5
2067119103–133.590.372.7–102.6
2068118.1104.3–131.490.473.8–106.4
2069118.4103.8–133.29174.5–102.5
2070118.2104.9–132.989.774.6–107
2071119.3105.1–135.392.674.9–107.9
2072119103.2–135.190.976.6–103.9
2073120.6104.9–137.791.376.2–104
2074119.1104.4–134.591.974.6–107
2075119.7105.9–135.594.576.4–103.7
2076118.9102.6–13793.477.5–105.6
2077120.3104.3–135.395.776.3–107.2
2078119.2105.3–13693.576.9–110.5
2079120.1103.2–135.691.179.2–105.7
2080120.4106.1–139.592.481.7–107.1
2081120.5104.3–137.193.878–108.8
2082122.5107.5–137.796.279.9–110.1
2083122.6105.8–140.494.481.1–108
2084123.7107.6–139.191.574.4–107.3
2085121.3106.6–140.69481.4–107.4
2086122.1107.9–139.893.678.5–111.5
2087123.7108–140.794.480.9–113.5
2088124106.5–142.293.779.8–108.5
2089124.1109–139.794.478.9–107
2090122.5105.4–141.997.979.5–109
2091124.3108–140.595.280.6–107.7
2092125.5110.1–1409580–106.3
2093124.5109–139.395.379.5–109.9
2094125108.7–142.992.279.8–111
2095125.3108.5–14194.884–112.2
2096125.8109–142.4100.481–113.2
2097123.6106.9–141.897.278.6–108.8
2098125.8109.4–143.897.479.9–110.4
2099123.1107.8–140.195.879.9–109.3
2100124.4107.9–143.796.381.6–113.8

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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