Iraq vs Yemen

Iraq vs Yemen: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 24.4 nights, or 1.16 times that in Iraq.

nights a year · CMIP6

Iraq vs Yemen: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 24.4 nights, or 1.16 times that in Iraq.
IraqYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Yemen 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 Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearIraqYemen
2014151.4175.8
2013151.3176.9
2012150.9178.4
2011150.7178.3
2010147.5174.9
2009146.1173.4
2008149.9174
2007148173.9
2006146.9173.6
2005147.7172.4
2004147.3174.3
2003145.4173.5
2002147.2171.8
2001146.6172.7
2000148167.9
1999143.6168.6
1998142.6168.7
1997144.5168.8
1996143.7166
1995139.1164.3
1994141.6161.6
1993136.6161.2
1992136.6157.2
1991138.1166.5
1990142.7168.3
1989141.6164.3
1988138.2163.7
1987138.9160.7
1986140.9162.3
1985137.6158.2
1984135.5159.8
1983135155.4
1982135.8161.5
1981140.3161.7
1980139.4158.5
1979136.4160.1
1978136.8158.9
1977137.7161.2
1976138.2157.5
1975134.1156.9
1974135.8157.8
1973136.1158.1
1972135.8157.5
1971133.7156.7
1970135.5156.9
1969135.5157.5
1968134.3154.5
1967133.6152.1
1966132.9155.1
1965132.9153.5
1964134.2154
1963135.1154.7
1962137.7155.9
1961138.2158.7
1960136.7160.1
1959139156.1
1958138.4158.5
1957137.3158.1
1956136.6156.2
1955134.7157.4
1954136.1156.1
1953137155.1
1952136.7157
1951137.3155.4
1950134.9157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqYemen
2015154.9143.1–165.8180.9163.8–197.8
2016152.1139.6–164.5178.4162.7–194.6
2017154.1139.5–165.6179.8162.3–196.8
2018153.8142.3–165183.2165.3–198.6
2019153.3141–166.9179162–200.4
2020155.1144.8–166181.5163.1–195.9
2021155.8144.5–166.5184.6170.2–202.6
2022155.9144.3–168184.1167.5–203.7
2023157.1146.3–168.5186.8170.1–200.5
2024155.9145.1–167.7185.3168.8–206.4
2025156.8145.6–168.8186.5164.7–211.8
2026158.1147.1–168.2187.8167.9–208.8
2027159.5148.6–169.8186.5167.9–205.3
2028157.5145.7–169.4188.2172.3–203.6
2029158.5149.2–167.6193175.7–211.5
2030157.9147.4–169.7189.4171.6–207.4
2031160.1146.9–171.3193.4176.6–211.5
2032160146.9–170.6192.7173.2–213.2
2033161.6151.5–172191.2173–209.1
2034161148.9–173.9193.1172.1–214.9
2035161.8150.3–173.6193.1174.5–214.1
2036158.5146.3–170.6194177.6–213.5
2037161.2148.6–173.5195.9180.3–212.8
2038165.1152.5–174.7197.6178.5–217.1
2039164.6152.2–177.7194.8179.8–215.4
2040165153.4–175.3196.4178.8–220.1
2041163.3151.3–172.5198.5176.5–216.9
2042165.3153–176.8197.3174.4–225.8
2043164.6151.4–175.3198.3179.3–221
2044164.6155.1–175.2198.7180.5–221.9
2045167.8152.2–180.1199.8181.6–220.3
2046167.6155–178.8202.2181.7–229.3
2047167.1156.3–177.3205182.7–229.8
2048165.8155.5–179.1207.4188.8–229.5
2049165.6155.1–177.4203.6186.1–222.5
2050170.8156.9–181.9202.8186.2–226.3
2051168.8155.6–181.1204.6185.1–229.1
2052167.8154.5–180.4207.2186.9–227.7
2053168.5155.9–181.1203.9186.1–226.9
2054170.4155.7–181.4208.4188.3–234.9
2055171.2158.7–181.8208.3190.7–228
2056168152.6–178.6208.6188.5–236.3
2057169.2153.3–186.3208.4190.1–233.1
2058170.7157.1–185.5207.2184.7–236
2059169.8157–187.5213.3191.6–239.3
2060169.5157.6–185.7215194.1–235.3
2061170.2157.8–180.7209.8189.8–233.3
2062171.2158.1–183211.4189.6–246.5
2063170.6156.5–183.6215.9193.5–239.5
2064170159.8–182.8212.6194.7–231.7
2065171.7160.9–185.3212.5191.7–241.4
2066172.4158.6–184.5215.6196.9–241.3
2067173.9161.8–187.6214.6192.2–242.5
2068172.6159.5–185217192.5–243.8
2069174.3160.8–186.2216.7196.5–240.8
2070175.4162.3–186.7214.6189–244.5
2071176.1161.2–188.9221.2192.7–244.8
2072174.1161.5–187.3217.5194.7–239.4
2073176.1159.9–190.6220.5197.7–248.2
2074173.5157.8–187215.3193.3–240.1
2075171.3158.5–186.4220.7195.5–247.6
2076173.1158.7–186.3219.5196.2–243.5
2077176.7160.9–189.8220.8193.8–249.9
2078176.2163.1–188.2220.7198.9–246.9
2079175.2160.1–188219.4195.2–249.3
2080172.9160.7–190.1221.7197.8–246
2081175.5161.6–189.9222.4199.1–247
2082176.9162.8–188.2220.1198.5–243
2083179.2161.9–191.4217.4195.3–258.9
2084179.7164.5–191223.7195.6–246
2085177.9162.3–190.8225.1203.3–254.4
2086178.4166.1–189.5223.1196.5–256
2087178.1161.8–194.1225.8201.1–255.8
2088178.1163.4–194.1224197.1–259.9
2089177.5162.8–192.6225.6200.2–255.2
2090176.1163.1–191.9225.1201.5–253
2091178.7163.4–192.6228.1201.9–261.8
2092179.2164.9–191.4227.3200.1–261.6
2093179.3165.6–193.8223.6200.9–258.9
2094181.3169.4–192.9223200.3–250.5
2095181.2166.6–193.1228205.2–255.9
2096179.2163.8–193.2225.1201.6–257.9
2097180.7162.7–194.4222.6200.1–251.1
2098178.4163.1–199225.6199.6–261
2099178.9166.7–191.9223.2200.6–251.1
2100178.7165.8–191.9225.7204.7–259.7

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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