Iran vs Israel

Iran vs Israel: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 7.1 nights, or 1.08 times that in Iran.

nights a year · CMIP6

Iran vs Israel: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 7.1 nights, or 1.08 times that in Iran.
IranIsraelCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Israel has been higher since 1998, when it overtook Iran.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iran at 124.4 nights and Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearIranIsrael
201490.897.9
201390.698
201290.396.3
201189.896.1
20108795.5
200987.292.5
20088894.1
200787.992.7
200688.292
200587.192.3
200486.490.7
200385.993.9
200287.789.5
200186.691
200086.589.5
199985.186.2
199883.884.8
199784.384.2
199682.483.7
199581.679.3
199480.680.1
199377.771.6
19927774.9
199181.978.4
199083.180.2
198981.776.9
198880.476.5
198779.875.1
198680.178.3
198579.774
198478.869.4
198375.568.9
198277.973.5
198180.273.5
198079.475.3
197980.268.7
197878.171.6
197777.872.3
197677.273.2
197576.670.9
197476.472.5
197376.971.9
197277.469.9
19717573.1
197075.371.6
196975.670.6
196876.369.6
196776.166.9
196675.568.8
196575.363.5
196475.366.1
196376.470.9
196277.573
196177.771.5
196077.674.9
195976.875
195878.473
195778.274.8
195676.274.3
195576.572.8
195477.671.4
195377.373.7
195278.272
195176.675.1
195077.769.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranIsrael
201594.482.7–106105.988.4–122.7
201694.183.1–105.3104.186.9–120.1
201793.981.7–104107.892.2–121.4
201894.183–106.310993.8–124.2
201995.183.4–105.810989.1–124.5
202095.985.5–107.5111.594.8–123.5
202197.286–107.711097.7–128.4
202296.285.2–108.3111.493.6–130.2
202398.485.7–110.6117.297.9–130.5
20249885.1–110.5114.5100.4–127.3
202598.787.2–110.5116.698.3–129.2
202699.186.7–111.7115.9104.9–126.2
2027100.288.7–112.1115.699–127.1
202899.686.2–111.6116.3100.2–127.9
202999.386.7–109.9117103.1–129.2
2030100.889.8–111.6118.6102.1–131.2
2031102.990.1–114.8116.8104.4–132.8
2032101.289–113.9121.4106.5–134.7
2033102.889.9–115.1122.1108.9–134.7
2034104.690.7–117.3119.7103.1–133.4
203510592.1–116.2122.8105.8–138.8
2036103.591.4–115.2120.2105.5–136.2
203710693.1–119.4121.6106.3–139.4
2038105.993.2–116.5126.5105.7–142.1
2039104.392.9–116.6127.7110.5–147.1
2040105.592.3–118.4124.2109.7–144.9
2041104.892.5–116.4126108.4–141.5
2042107.793.4–120.7128.5105.8–144.3
204310692.9–118.8126.5111.8–144.3
2044106.893.6–121.2125.9108.5–142.9
2045108.795.1–121.8130.9117.5–148.6
2046109.296.1–121.9131114.4–147.2
2047110.596.9–123.3132.3116.1–145.4
2048111.498.6–124129.9118.5–146.9
204911095.7–123.4127.9108.7–143.9
2050112.199.6–125.1133.3114.3–147
2051111.797.6–124.1130.3116.7–143.9
205211298.3–126130.3119.9–143.5
2053111.597.5–124135120.4–149.7
2054111.899–126.3134.1118.8–149.3
2055114.6101.4–128134.1115.2–150.3
2056113.1100.2–126.2136110.1–151.1
2057113.899.9–128.9132.7110.9–155
2058114.2100–127.7135.7119.1–155.4
2059113.498.9–126.3138.8118.5–156.7
2060116.3100.3–129.5136.1116.3–159.2
2061115100.5–127.6136119–150.7
2062115.799.7–131.1139118.7–156
2063117103.7–130.3137.4120.1–151.2
2064115.1101.7–130.3139.3121–154.3
2065117.3102.8–132.3139.6122.3–154.3
2066117.7103.7–132.1137.3119.6–153.7
2067119103–133.5142.8126–157.8
2068118.1104.3–131.4141.2122.8–156.4
2069118.4103.8–133.2141.5123.7–157.6
2070118.2104.9–132.9141.8120.5–157.5
2071119.3105.1–135.3142.9124.3–161.8
2072119103.2–135.1144.3127–158.5
2073120.6104.9–137.7143.6127.3–159.2
2074119.1104.4–134.5138.8123–162.2
2075119.7105.9–135.5138.1120.8–154.6
2076118.9102.6–137143.2126.8–161.5
2077120.3104.3–135.3142.8120.5–161.6
2078119.2105.3–136143.6128.2–160.6
2079120.1103.2–135.6148.6123.7–160.2
2080120.4106.1–139.5145.5123.5–163.7
2081120.5104.3–137.1143.7128.1–161.2
2082122.5107.5–137.7145.8129.5–160.6
2083122.6105.8–140.4149.4126–163.1
2084123.7107.6–139.1148128.2–164
2085121.3106.6–140.6149127.9–162.4
2086122.1107.9–139.8148127.4–167.1
2087123.7108–140.7146.4123.7–165.7
2088124106.5–142.2147.6133.5–165.3
2089124.1109–139.7148.4131.4–169.1
2090122.5105.4–141.9147.6132.4–168.8
2091124.3108–140.5151.9131.7–170.6
2092125.5110.1–140148.2132–167.4
2093124.5109–139.3154.1135.3–172.2
2094125108.7–142.9153.2133.6–170.3
2095125.3108.5–141148.2131.4–164.1
2096125.8109–142.4150.5130.5–172.6
2097123.6106.9–141.8149.8134.4–172.7
2098125.8109.4–143.8150.9131.3–170.1
2099123.1107.8–140.1149.5129–166.6
2100124.4107.9–143.7149.4130.1–168.5

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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