Iraq vs Syria

Iraq vs Syria: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 61.8 nights, or 1.69 times that in Syria.

nights a year · CMIP6

Iraq vs Syria: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 61.8 nights, or 1.69 times that in Syria.
IraqSyriaCMIP6 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 Syria at 133.8 nights in 2100.

Every year

nights a year · CMIP6

YearIraqSyria
2014151.489.6
2013151.390.8
2012150.991.2
2011150.789.6
2010147.588.1
2009146.186.2
2008149.987.9
200714885
2006146.987.3
2005147.785.3
2004147.386.7
2003145.486.7
2002147.284.3
2001146.685.9
200014883.2
1999143.682.1
1998142.680.5
1997144.580.5
1996143.778.1
1995139.175.8
1994141.676.7
1993136.671.5
1992136.671.3
1991138.175.5
1990142.779.3
1989141.675.7
1988138.276.2
1987138.973
1986140.976
1985137.672.6
1984135.569.6
198313567.9
1982135.872
1981140.372
1980139.475
1979136.467.7
1978136.870.2
1977137.770.1
1976138.273.4
1975134.169
1974135.870
1973136.170.7
1972135.870.1
1971133.770.7
1970135.570.9
1969135.571.3
1968134.368.7
1967133.668.8
1966132.968.8
1965132.964.3
1964134.266.4
1963135.169.1
1962137.771.5
1961138.270.8
1960136.771.7
195913972.7
1958138.472.8
1957137.372.6
1956136.672.2
1955134.770.3
1954136.168.9
195313772.2
1952136.770.8
1951137.372.4
1950134.968.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqSyria
2015154.9143.1–165.896.981.9–110.9
2016152.1139.6–164.593.581.2–108.2
2017154.1139.5–165.69782.1–109.5
2018153.8142.3–16597.785.9–111
2019153.3141–166.998.983.7–111.2
2020155.1144.8–16698.683.7–112.6
2021155.8144.5–166.510087.1–110.7
2022155.9144.3–168101.684.9–113.2
2023157.1146.3–168.5101.988.3–115.3
2024155.9145.1–167.7102.790.7–113.8
2025156.8145.6–168.8102.988.6–114.2
2026158.1147.1–168.2103.389.5–116.1
2027159.5148.6–169.8103.886.7–116.5
2028157.5145.7–169.4103.589.2–116.4
2029158.5149.2–167.6105.694–116.3
2030157.9147.4–169.7105.991.3–119.2
2031160.1146.9–171.3105.190.7–116
2032160146.9–170.6107.893.2–119.4
2033161.6151.5–172108.796.6–119.1
2034161148.9–173.9107.593.9–119
2035161.8150.3–173.6108.596.3–118.3
2036158.5146.3–170.6105.793.2–118.7
2037161.2148.6–173.5109.294.8–121.9
2038165.1152.5–174.7111.897.8–125.5
2039164.6152.2–177.7112.398.9–128
2040165153.4–175.3111.898.5–127.5
2041163.3151.3–172.5110.799.1–124.5
2042165.3153–176.8112.996.4–126.5
2043164.6151.4–175.3113.199.7–127.3
2044164.6155.1–175.2112.599.8–128.8
2045167.8152.2–180.1118.4105.5–131.3
2046167.6155–178.8117.2104.7–129
2047167.1156.3–177.3114.9100.6–129.1
2048165.8155.5–179.1114.3101.2–130.8
2049165.6155.1–177.411499.3–128.9
2050170.8156.9–181.9116.8104.6–132.7
2051168.8155.6–181.1117.7105.5–129
2052167.8154.5–180.4116.2103.9–128.2
2053168.5155.9–181.1119.1105.2–131.3
2054170.4155.7–181.4119.7102.7–135.5
2055171.2158.7–181.8120.8104.3–134.2
2056168152.6–178.6119.799.9–132.9
2057169.2153.3–186.3120.6102.3–137.1
2058170.7157.1–185.5120.1103.1–136.5
2059169.8157–187.5123.5107.4–137.2
2060169.5157.6–185.7119.6106.4–140.3
2061170.2157.8–180.7122.8103.9–136.1
2062171.2158.1–183121.8104.3–136.5
2063170.6156.5–183.6122.1106.2–136.7
2064170159.8–182.8124.3108.4–136.6
2065171.7160.9–185.3123.7108.9–138.7
2066172.4158.6–184.5122.1104.4–136.2
2067173.9161.8–187.6126111.1–142.7
2068172.6159.5–185126.8112.1–140.3
2069174.3160.8–186.2123107.9–137.3
2070175.4162.3–186.7126.5110.3–139.4
2071176.1161.2–188.9126109.5–142.8
2072174.1161.5–187.3128111.8–141.9
2073176.1159.9–190.6127.6108–143.7
2074173.5157.8–187124.2107–139.7
2075171.3158.5–186.4124.7109.2–140.6
2076173.1158.7–186.3126.6109.8–140.8
2077176.7160.9–189.8127.5109–143.3
2078176.2163.1–188.2127.2113.3–141.8
2079175.2160.1–188132.9116–146.9
2080172.9160.7–190.1129111.8–144.3
2081175.5161.6–189.9127.6112.5–145.6
2082176.9162.8–188.2129.1111.3–143.8
2083179.2161.9–191.4133.2110.3–144.1
2084179.7164.5–191132.2111–145.1
2085177.9162.3–190.8130.9112.7–143.3
2086178.4166.1–189.5130.9112.6–146.5
2087178.1161.8–194.1129.6109.8–148.7
2088178.1163.4–194.1132.5116.9–146.5
2089177.5162.8–192.6130.4115.3–148.4
2090176.1163.1–191.9128.9115–145.8
2091178.7163.4–192.6133.4116–150.3
2092179.2164.9–191.4131.6115.3–149
2093179.3165.6–193.8135119.8–151
2094181.3169.4–192.9134118–148.5
2095181.2166.6–193.1134.3117.3–148.9
2096179.2163.8–193.2131.5113.7–148.7
2097180.7162.7–194.4136.2112.7–154.1
2098178.4163.1–199131.5115.2–152.2
2099178.9166.7–191.9132.8116–145.1
2100178.7165.8–191.9133.8113.2–152.2

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

Iraq vs Syria

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment