Iraq vs Saudi Arabia

Iraq vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 30.1 nights, or 1.2 times that in Iraq.

Watch it change on the map

nights a year · CMIP6

Iraq vs Saudi Arabia: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 30.1 nights, or 1.2 times that in Iraq.
IraqSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearIraqSaudi Arabia
2014151.4181.5
2013151.3180.4
2012150.9182.8
2011150.7182.7
2010147.5179.2
2009146.1177.1
2008149.9180.3
2007148178.9
2006146.9177.5
2005147.7177.9
2004147.3177.6
2003145.4177.4
2002147.2175.6
2001146.6178.1
2000148176.4
1999143.6173.2
1998142.6173.4
1997144.5173.8
1996143.7172
1995139.1169.2
1994141.6170.4
1993136.6164.6
1992136.6165.9
1991138.1169.2
1990142.7172.7
1989141.6168.9
1988138.2166.8
1987138.9167.3
1986140.9169.4
1985137.6166
1984135.5165
1983135163.5
1982135.8164.7
1981140.3168.9
1980139.4166.8
1979136.4165.3
1978136.8164.8
1977137.7165.6
1976138.2165.9
1975134.1161.2
1974135.8162.9
1973136.1163.7
1972135.8163.7
1971133.7160.4
1970135.5162.5
1969135.5161.3
1968134.3162.7
1967133.6159.5
1966132.9159.5
1965132.9159.5
1964134.2159.9
1963135.1160.2
1962137.7163.2
1961138.2163.7
1960136.7165.7
1959139164.4
1958138.4164.1
1957137.3165.5
1956136.6163.6
1955134.7162
1954136.1161.2
1953137162.5
1952136.7163.4
1951137.3161.2
1950134.9161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqSaudi Arabia
2015154.9143.1–165.8184.9169.4–198.7
2016152.1139.6–164.5183167.7–195.7
2017154.1139.5–165.6182.6168.1–196.7
2018153.8142.3–165186.8173.1–199.4
2019153.3141–166.9184.1168.8–199.1
2020155.1144.8–166185.3171.8–198.9
2021155.8144.5–166.5188.6173.6–202.8
2022155.9144.3–168187.6170.7–202
2023157.1146.3–168.5188.6173–203.8
2024155.9145.1–167.7187.1172.9–203.9
2025156.8145.6–168.8191.5176–206.1
2026158.1147.1–168.2191.8177.1–205.5
2027159.5148.6–169.8191.2176.6–206.8
2028157.5145.7–169.4191.9175.5–205.1
2029158.5149.2–167.6192.2176.6–205.7
2030157.9147.4–169.7193.3178.4–206.3
2031160.1146.9–171.3194.7179.1–207.6
2032160146.9–170.6192.2175.2–206
2033161.6151.5–172192.6177.5–206.9
2034161148.9–173.9196.7181.6–213
2035161.8150.3–173.6196.5179.9–211.6
2036158.5146.3–170.6194.1180–209.7
2037161.2148.6–173.5197183.7–209.9
2038165.1152.5–174.7198.4182.3–213.3
2039164.6152.2–177.7198184.4–213.6
2040165153.4–175.3199.2182.1–212.7
2041163.3151.3–172.5197.7181.4–211.7
2042165.3153–176.8198.3181.2–217
2043164.6151.4–175.3198.2182.3–215.3
2044164.6155.1–175.2199.2185.5–213.5
2045167.8152.2–180.1202187.1–216.8
2046167.6155–178.8204.1185.3–219.4
2047167.1156.3–177.3204.1187.4–220
2048165.8155.5–179.1206.1190.7–220
2049165.6155.1–177.4201.6187.7–216.2
2050170.8156.9–181.9205.7190.2–219.3
2051168.8155.6–181.1204.3188.8–222.1
2052167.8154.5–180.4203.8189.6–218
2053168.5155.9–181.1203.8186.3–218.8
2054170.4155.7–181.4207.6188.3–222.3
2055171.2158.7–181.8207.8190.8–221
2056168152.6–178.6203.7186.6–220.1
2057169.2153.3–186.3207.5188.8–224.2
2058170.7157.1–185.5205.9189.2–221.4
2059169.8157–187.5207.3191.6–226.9
2060169.5157.6–185.7206.9192.7–222.8
2061170.2157.8–180.7206.5190.4–220.9
2062171.2158.1–183208.1189.4–228.3
2063170.6156.5–183.6210.4193–227.1
2064170159.8–182.8207.5191.9–223.3
2065171.7160.9–185.3208.9193.9–226.1
2066172.4158.6–184.5210.3194.9–228
2067173.9161.8–187.6210.9193.1–228.6
2068172.6159.5–185209.8194.6–228.6
2069174.3160.8–186.2208.9194.5–226.3
2070175.4162.3–186.7211.2191.2–229
2071176.1161.2–188.9215.1196.3–233.3
2072174.1161.5–187.3213.6195.3–229.3
2073176.1159.9–190.6213.7194.1–231.6
2074173.5157.8–187210.5191.9–229.3
2075171.3158.5–186.4212.1196.6–231.8
2076173.1158.7–186.3212.8194.8–230.3
2077176.7160.9–189.8215.1196.6–233.9
2078176.2163.1–188.2215.5197.6–230.7
2079175.2160.1–188213.6197–229
2080172.9160.7–190.1213.6197.1–233.9
2081175.5161.6–189.9214.7194.4–231.6
2082176.9162.8–188.2214198.9–230.9
2083179.2161.9–191.4214.2198.5–238
2084179.7164.5–191217.4197.4–233.1
2085177.9162.3–190.8217.4199.6–237.9
2086178.4166.1–189.5217197.4–237.4
2087178.1161.8–194.1217.3199.7–238.7
2088178.1163.4–194.1216.1198.2–243.1
2089177.5162.8–192.6217.6199.5–239
2090176.1163.1–191.9217.3198.5–239.2
2091178.7163.4–192.6218.5202.8–238.4
2092179.2164.9–191.4218.5198.5–241.6
2093179.3165.6–193.8216.6197.8–236.3
2094181.3169.4–192.9218.8202–236.9
2095181.2166.6–193.1219.4204.2–237.4
2096179.2163.8–193.2219.9197.7–239.6
2097180.7162.7–194.4216.7196.8–239.7
2098178.4163.1–199219.7199.6–241.3
2099178.9166.7–191.9216.8200.8–236.8
2100178.7165.8–191.9218.7202.3–241

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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