Iraq vs Israel

Iraq vs Israel: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 53.5 nights, or 1.55 times that in Israel.

nights a year · CMIP6

Iraq vs Israel: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 53.5 nights, or 1.55 times that in Israel.
IraqIsraelCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iraq at 178.7 nights and Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearIraqIsrael
2014151.497.9
2013151.398
2012150.996.3
2011150.796.1
2010147.595.5
2009146.192.5
2008149.994.1
200714892.7
2006146.992
2005147.792.3
2004147.390.7
2003145.493.9
2002147.289.5
2001146.691
200014889.5
1999143.686.2
1998142.684.8
1997144.584.2
1996143.783.7
1995139.179.3
1994141.680.1
1993136.671.6
1992136.674.9
1991138.178.4
1990142.780.2
1989141.676.9
1988138.276.5
1987138.975.1
1986140.978.3
1985137.674
1984135.569.4
198313568.9
1982135.873.5
1981140.373.5
1980139.475.3
1979136.468.7
1978136.871.6
1977137.772.3
1976138.273.2
1975134.170.9
1974135.872.5
1973136.171.9
1972135.869.9
1971133.773.1
1970135.571.6
1969135.570.6
1968134.369.6
1967133.666.9
1966132.968.8
1965132.963.5
1964134.266.1
1963135.170.9
1962137.773
1961138.271.5
1960136.774.9
195913975
1958138.473
1957137.374.8
1956136.674.3
1955134.772.8
1954136.171.4
195313773.7
1952136.772
1951137.375.1
1950134.969.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqIsrael
2015154.9143.1–165.8105.988.4–122.7
2016152.1139.6–164.5104.186.9–120.1
2017154.1139.5–165.6107.892.2–121.4
2018153.8142.3–16510993.8–124.2
2019153.3141–166.910989.1–124.5
2020155.1144.8–166111.594.8–123.5
2021155.8144.5–166.511097.7–128.4
2022155.9144.3–168111.493.6–130.2
2023157.1146.3–168.5117.297.9–130.5
2024155.9145.1–167.7114.5100.4–127.3
2025156.8145.6–168.8116.698.3–129.2
2026158.1147.1–168.2115.9104.9–126.2
2027159.5148.6–169.8115.699–127.1
2028157.5145.7–169.4116.3100.2–127.9
2029158.5149.2–167.6117103.1–129.2
2030157.9147.4–169.7118.6102.1–131.2
2031160.1146.9–171.3116.8104.4–132.8
2032160146.9–170.6121.4106.5–134.7
2033161.6151.5–172122.1108.9–134.7
2034161148.9–173.9119.7103.1–133.4
2035161.8150.3–173.6122.8105.8–138.8
2036158.5146.3–170.6120.2105.5–136.2
2037161.2148.6–173.5121.6106.3–139.4
2038165.1152.5–174.7126.5105.7–142.1
2039164.6152.2–177.7127.7110.5–147.1
2040165153.4–175.3124.2109.7–144.9
2041163.3151.3–172.5126108.4–141.5
2042165.3153–176.8128.5105.8–144.3
2043164.6151.4–175.3126.5111.8–144.3
2044164.6155.1–175.2125.9108.5–142.9
2045167.8152.2–180.1130.9117.5–148.6
2046167.6155–178.8131114.4–147.2
2047167.1156.3–177.3132.3116.1–145.4
2048165.8155.5–179.1129.9118.5–146.9
2049165.6155.1–177.4127.9108.7–143.9
2050170.8156.9–181.9133.3114.3–147
2051168.8155.6–181.1130.3116.7–143.9
2052167.8154.5–180.4130.3119.9–143.5
2053168.5155.9–181.1135120.4–149.7
2054170.4155.7–181.4134.1118.8–149.3
2055171.2158.7–181.8134.1115.2–150.3
2056168152.6–178.6136110.1–151.1
2057169.2153.3–186.3132.7110.9–155
2058170.7157.1–185.5135.7119.1–155.4
2059169.8157–187.5138.8118.5–156.7
2060169.5157.6–185.7136.1116.3–159.2
2061170.2157.8–180.7136119–150.7
2062171.2158.1–183139118.7–156
2063170.6156.5–183.6137.4120.1–151.2
2064170159.8–182.8139.3121–154.3
2065171.7160.9–185.3139.6122.3–154.3
2066172.4158.6–184.5137.3119.6–153.7
2067173.9161.8–187.6142.8126–157.8
2068172.6159.5–185141.2122.8–156.4
2069174.3160.8–186.2141.5123.7–157.6
2070175.4162.3–186.7141.8120.5–157.5
2071176.1161.2–188.9142.9124.3–161.8
2072174.1161.5–187.3144.3127–158.5
2073176.1159.9–190.6143.6127.3–159.2
2074173.5157.8–187138.8123–162.2
2075171.3158.5–186.4138.1120.8–154.6
2076173.1158.7–186.3143.2126.8–161.5
2077176.7160.9–189.8142.8120.5–161.6
2078176.2163.1–188.2143.6128.2–160.6
2079175.2160.1–188148.6123.7–160.2
2080172.9160.7–190.1145.5123.5–163.7
2081175.5161.6–189.9143.7128.1–161.2
2082176.9162.8–188.2145.8129.5–160.6
2083179.2161.9–191.4149.4126–163.1
2084179.7164.5–191148128.2–164
2085177.9162.3–190.8149127.9–162.4
2086178.4166.1–189.5148127.4–167.1
2087178.1161.8–194.1146.4123.7–165.7
2088178.1163.4–194.1147.6133.5–165.3
2089177.5162.8–192.6148.4131.4–169.1
2090176.1163.1–191.9147.6132.4–168.8
2091178.7163.4–192.6151.9131.7–170.6
2092179.2164.9–191.4148.2132–167.4
2093179.3165.6–193.8154.1135.3–172.2
2094181.3169.4–192.9153.2133.6–170.3
2095181.2166.6–193.1148.2131.4–164.1
2096179.2163.8–193.2150.5130.5–172.6
2097180.7162.7–194.4149.8134.4–172.7
2098178.4163.1–199150.9131.3–170.1
2099178.9166.7–191.9149.5129–166.6
2100178.7165.8–191.9149.4130.1–168.5

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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