Iran vs Italy

Iran vs Italy: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 64.6 nights, or 3.46 times that in Italy.

nights a year · CMIP6

Iran vs Italy: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 64.6 nights, or 3.46 times that in Italy.
IranItalyCMIP6 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 Italy at 65.1 nights in 2100.

Every year

nights a year · CMIP6

YearIranItaly
201490.826.3
201390.624.7
201290.324.8
201189.824.6
20108727.1
200987.223.7
20088824.1
200787.921.5
200688.224.6
200587.122.5
200486.424.5
200385.923.8
200287.720.6
200186.620.8
200086.521.7
199985.120.3
199883.818.9
199784.318.9
199682.418.9
199581.617.9
199480.617.4
199377.716.3
19927715.1
199181.918
199083.118.2
198981.716.6
198880.415.5
198779.816
198680.115
198579.714.5
198478.815.7
198375.515.3
198277.914.1
198180.215.3
198079.415.9
197980.214.5
197878.116.5
197777.813.5
197677.213.8
197576.614
197476.414.8
197376.913.5
197277.413.7
19717515.3
197075.314
196975.614.5
196876.313.8
196776.113.6
196675.513.2
196575.312.8
196475.313.2
196376.414.2
196277.515.5
196177.713.9
196077.614.9
195976.816.6
195878.414.4
195778.215.5
195676.216.7
195576.516.6
195477.615.7
195377.315.4
195278.216.6
195176.616
195077.715.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranItaly
201594.482.7–1063021.7–40.4
201694.183.1–105.329.618–42.2
201793.981.7–10431.820.2–43.7
201894.183–106.33122–44.3
201995.183.4–105.831.521.3–43.2
202095.985.5–107.531.619.7–44.3
202197.286–107.73420.8–46.9
202296.285.2–108.337.121.3–50.6
202398.485.7–110.633.121.3–47.4
20249885.1–110.535.521.6–48.4
202598.787.2–110.537.720.5–51.1
202699.186.7–111.738.926.6–52.2
2027100.288.7–112.134.322.4–49.7
202899.686.2–111.637.724.4–53.1
202999.386.7–109.937.824.9–55
2030100.889.8–111.637.925.7–54.7
2031102.990.1–114.837.223.8–51
2032101.289–113.939.226.2–53.8
2033102.889.9–115.140.426–50.3
2034104.690.7–117.342.525.1–57.2
203510592.1–116.242.728.9–58.3
2036103.591.4–115.241.127.7–59.9
203710693.1–119.44328.1–54.8
2038105.993.2–116.541.628.5–61.3
2039104.392.9–116.64129.4–56.4
2040105.592.3–118.442.428.1–59.1
2041104.892.5–116.441.927.2–58.7
2042107.793.4–120.743.529.6–59
204310692.9–118.84528.7–59.5
2044106.893.6–121.244.929.4–59.9
2045108.795.1–121.845.230.3–59.2
2046109.296.1–121.94627.3–62.4
2047110.596.9–123.349.132.4–63.6
2048111.498.6–12446.228.3–65.7
204911095.7–123.448.229.5–65.7
2050112.199.6–125.149.536.4–64.4
2051111.797.6–124.148.831.6–68.3
205211298.3–12650.330.9–68.1
2053111.597.5–12448.235.9–67
2054111.899–126.349.435.3–66.1
2055114.6101.4–12852.233.7–67.7
2056113.1100.2–126.250.836.2–71.6
2057113.899.9–128.950.232.8–65.6
2058114.2100–127.755.337.5–70.8
2059113.498.9–126.351.934.5–74.1
2060116.3100.3–129.552.938.2–68.1
2061115100.5–127.654.338.3–69.8
2062115.799.7–131.153.936.9–69
2063117103.7–130.356.437.6–72.1
2064115.1101.7–130.355.938.5–71.3
2065117.3102.8–132.35537.3–73.3
2066117.7103.7–132.153.935.8–73.8
2067119103–133.561.141.2–76.6
2068118.1104.3–131.456.241.7–73
2069118.4103.8–133.258.741.8–73
2070118.2104.9–132.955.738.9–74.4
2071119.3105.1–135.359.637.8–76.6
2072119103.2–135.159.643.5–74.6
2073120.6104.9–137.756.939.4–71.6
2074119.1104.4–134.554.836.7–73.7
2075119.7105.9–135.556.941.8–75.4
2076118.9102.6–13759.941.9–77.7
2077120.3104.3–135.357.437.9–74.1
2078119.2105.3–13660.540.5–80.7
2079120.1103.2–135.660.637.1–83.3
2080120.4106.1–139.559.743.1–78
2081120.5104.3–137.15943.7–78.9
2082122.5107.5–137.763.945.5–80.2
2083122.6105.8–140.460.842–79.7
2084123.7107.6–139.162.547.3–82.1
2085121.3106.6–140.665.246.3–79
2086122.1107.9–139.864.445.6–80.1
2087123.7108–140.763.743.8–84
2088124106.5–142.267.247.4–84.4
2089124.1109–139.764.546–82.9
2090122.5105.4–141.965.842.8–80.5
2091124.3108–140.566.745.3–84.7
2092125.5110.1–14064.838.5–82.3
2093124.5109–139.363.644.7–83
2094125108.7–142.962.445–82
2095125.3108.5–1416643.6–83.5
2096125.8109–142.46542.9–85.8
2097123.6106.9–141.865.844.9–84.4
2098125.8109.4–143.864.647.9–84.2
2099123.1107.8–140.167.742.2–81.9
2100124.4107.9–143.765.142.5–83.2

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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