Iraq vs Kuwait

Iraq vs Kuwait: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 194.4 nights in Kuwait, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kuwait, by 43 nights, or 1.28 times that in Iraq.

Watch it change on the map

nights a year · CMIP6

Iraq vs Kuwait: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 194.4 nights in Kuwait, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kuwait, by 43 nights, or 1.28 times that in Iraq.
IraqKuwaitCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kuwait 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 Kuwait at 215.9 nights in 2100.

Every year

nights a year · CMIP6

YearIraqKuwait
2014151.4194.4
2013151.3194.1
2012150.9194.2
2011150.7192.6
2010147.5190.4
2009146.1188.9
2008149.9191.9
2007148192.7
2006146.9189.4
2005147.7189.7
2004147.3189.3
2003145.4186
2002147.2191.7
2001146.6190.1
2000148192.1
1999143.6188.5
1998142.6188.5
1997144.5188
1996143.7187.9
1995139.1184.4
1994141.6186.1
1993136.6182.4
1992136.6183.2
1991138.1183
1990142.7186.6
1989141.6184.5
1988138.2180.9
1987138.9183.5
1986140.9187.4
1985137.6182.4
1984135.5182.3
1983135180
1982135.8179.9
1981140.3184.7
1980139.4183.2
1979136.4183.8
1978136.8181.4
1977137.7185.2
1976138.2181.7
1975134.1179.6
1974135.8180.2
1973136.1180.5
1972135.8181.1
1971133.7179.7
1970135.5179.9
1969135.5178.5
1968134.3180.5
1967133.6176.5
1966132.9177.7
1965132.9179.3
1964134.2177.3
1963135.1180
1962137.7182.4
1961138.2184
1960136.7182.9
1959139184.3
1958138.4183.4
1957137.3184.6
1956136.6181.7
1955134.7180.7
1954136.1182.4
1953137182.1
1952136.7181.9
1951137.3183.8
1950134.9181.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqKuwait
2015154.9143.1–165.8196185–205.9
2016152.1139.6–164.5193.7180.4–207.6
2017154.1139.5–165.6192.9180.2–204.9
2018153.8142.3–165195184.6–204.2
2019153.3141–166.9195183.3–204.6
2020155.1144.8–166196.1184.7–206.2
2021155.8144.5–166.5197.6184.6–210.3
2022155.9144.3–168196.2181.6–208
2023157.1146.3–168.5198.1186.1–211.4
2024155.9145.1–167.7196.6181.7–210.8
2025156.8145.6–168.8198.3189.1–210.9
2026158.1147.1–168.2198.2188.2–210.5
2027159.5148.6–169.8200.2190.5–209.3
2028157.5145.7–169.4201.6185.4–210.2
2029158.5149.2–167.6198.5186.7–207.9
2030157.9147.4–169.7197.8186.3–211.8
2031160.1146.9–171.3203.8189.2–212.5
2032160146.9–170.6197.9188.1–212.3
2033161.6151.5–172200.3190.3–213.5
2034161148.9–173.9204.9189–216.5
2035161.8150.3–173.6203.3190.9–215.8
2036158.5146.3–170.6201.1189.9–212.4
2037161.2148.6–173.5204190.7–213.1
2038165.1152.5–174.7205.3195.6–216.3
2039164.6152.2–177.7203.1193.6–216.8
2040165153.4–175.3203.7190.1–216.9
2041163.3151.3–172.5202.7189.5–214.2
2042165.3153–176.8205.8193.7–215.3
2043164.6151.4–175.3203.7190.2–212.8
2044164.6155.1–175.2203.8193.7–216.4
2045167.8152.2–180.1205.7194.8–222
2046167.6155–178.8208.5195.4–218
2047167.1156.3–177.3208.8195.7–217.9
2048165.8155.5–179.1206.2195.8–219
2049165.6155.1–177.4203.6194.3–215.5
2050170.8156.9–181.9214.5202.5–222.4
2051168.8155.6–181.1210.5195.4–222.8
2052167.8154.5–180.4210.4197.3–224.2
2053168.5155.9–181.1207.6193.4–220.4
2054170.4155.7–181.4211.1199.5–221.6
2055171.2158.7–181.8208.8202.1–221.8
2056168152.6–178.6207.5189.6–221.6
2057169.2153.3–186.3209.4195.7–224.1
2058170.7157.1–185.5210.8198–222.3
2059169.8157–187.5206.7195.6–225.4
2060169.5157.6–185.7207.3198.7–220.5
2061170.2157.8–180.7211.1199.8–219.4
2062171.2158.1–183213.6196.9–226.4
2063170.6156.5–183.6210.7195–226.7
2064170159.8–182.8210.1197.2–224.4
2065171.7160.9–185.3209.1200.8–222.7
2066172.4158.6–184.5214.2194.5–225.6
2067173.9161.8–187.6210196.2–223.8
2068172.6159.5–185210.7200.4–222.5
2069174.3160.8–186.2213.9200.5–225.5
2070175.4162.3–186.7215.3204.5–228.1
2071176.1161.2–188.9218.4201.8–228.6
2072174.1161.5–187.3212.9202.1–227.2
2073176.1159.9–190.6215.5201.4–224.9
2074173.5157.8–187212.4198.2–226.7
2075171.3158.5–186.4211.1200.4–225.2
2076173.1158.7–186.3212.7199–229.2
2077176.7160.9–189.8217.7201.6–228
2078176.2163.1–188.2214.6204–226.6
2079175.2160.1–188211.8198.4–226.4
2080172.9160.7–190.1211201.6–231.2
2081175.5161.6–189.9214.8200.2–228.3
2082176.9162.8–188.2216.8202–227.4
2083179.2161.9–191.4216.1204.1–233.1
2084179.7164.5–191219.9202.6–228.5
2085177.9162.3–190.8218.9201.3–233.5
2086178.4166.1–189.5218.2200.4–229.2
2087178.1161.8–194.1215.4202.9–231.8
2088178.1163.4–194.1215.7203.5–235.5
2089177.5162.8–192.6217.2202.3–232.1
2090176.1163.1–191.9217.1204.9–234.7
2091178.7163.4–192.6215.7203.7–226.7
2092179.2164.9–191.4218204.8–230
2093179.3165.6–193.8216.2202.5–230.3
2094181.3169.4–192.9220.4206.6–231.8
2095181.2166.6–193.1220.7206–231.6
2096179.2163.8–193.2219.3202.1–230.5
2097180.7162.7–194.4217.7202.4–231.9
2098178.4163.1–199218.2202.4–237.7
2099178.9166.7–191.9220.9205.4–235.2
2100178.7165.8–191.9215.9200.2–226.4

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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