Iraq vs Tunisia

Iraq vs Tunisia: Tropical nights

Tropical nights in 2014: 151.4 nights in Iraq and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 40.9 nights, or 1.37 times that in Tunisia.

nights a year · CMIP6

Iraq vs Tunisia: Tropical nightsTropical nights in 2014: 151.4 nights in Iraq and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 40.9 nights, or 1.37 times that in Tunisia.
IraqTunisiaCMIP6 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 Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearIraqTunisia
2014151.4110.5
2013151.3110.7
2012150.9110
2011150.7108.9
2010147.5109.6
2009146.1106.1
2008149.9108.6
2007148106.6
2006146.9107.6
2005147.7105.6
2004147.3105
2003145.4105.5
2002147.2103.8
2001146.6101.8
2000148104.5
1999143.6100.1
1998142.6100.1
1997144.5100.1
1996143.799.1
1995139.195.9
1994141.695
1993136.691.3
1992136.689.9
1991138.198.2
1990142.798.6
1989141.694.7
1988138.294.2
1987138.992.7
1986140.993.7
1985137.690.6
1984135.591.8
198313590
1982135.893.9
1981140.393.3
1980139.492.5
1979136.493.8
1978136.890.2
1977137.788.3
1976138.290.5
1975134.188.6
1974135.888.3
1973136.190.5
1972135.891
1971133.788.8
1970135.587.3
1969135.590.1
1968134.388.9
1967133.687.6
1966132.987.5
1965132.984.5
1964134.285.7
1963135.188
1962137.792.7
1961138.288.3
1960136.790.7
195913992.2
1958138.491.8
1957137.392.3
1956136.690
1955134.792.7
1954136.189.9
195313789.4
1952136.791.8
1951137.391.6
1950134.989.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqTunisia
2015154.9143.1–165.8110.796.9–126.1
2016152.1139.6–164.5111.596.6–130.1
2017154.1139.5–165.6116.5102.4–131.8
2018153.8142.3–165115.999.4–131.9
2019153.3141–166.9116.598.5–129.5
2020155.1144.8–166113.899.9–130.1
2021155.8144.5–166.5117.4104.1–129.3
2022155.9144.3–168119.7103–137.3
2023157.1146.3–168.5118.7102.2–131.9
2024155.9145.1–167.7121107.5–132.6
2025156.8145.6–168.8120.2100–134
2026158.1147.1–168.2122.1110.1–134.5
2027159.5148.6–169.8119103.6–134.1
2028157.5145.7–169.4121.1104.5–135.4
2029158.5149.2–167.6121.5110.2–135.8
2030157.9147.4–169.7121.6104–133.4
2031160.1146.9–171.3121.8105.7–134.9
2032160146.9–170.6125.2111.6–138.9
2033161.6151.5–172124.7107.6–137.5
2034161148.9–173.9124.6107–141.7
2035161.8150.3–173.6126.3115.5–142.6
2036158.5146.3–170.6126112.5–141.9
2037161.2148.6–173.5126.5110–140
2038165.1152.5–174.7126.2111.1–139.1
2039164.6152.2–177.7127112.5–142.3
2040165153.4–175.3127.5112.8–144.3
2041163.3151.3–172.5125.5109.1–140.4
2042165.3153–176.8129.9114.8–145.8
2043164.6151.4–175.3129.1111.6–142
2044164.6155.1–175.2127.1112.8–141.8
2045167.8152.2–180.1128.5113.8–140.8
2046167.6155–178.8128.3109.9–144
2047167.1156.3–177.3131.2113.6–147.5
2048165.8155.5–179.1129.9114.9–142.3
2049165.6155.1–177.4130115.4–143.5
2050170.8156.9–181.9132.3117.6–147.6
2051168.8155.6–181.1130.1112.6–148.6
2052167.8154.5–180.4132.7116.8–146.7
2053168.5155.9–181.1132.5119.5–149.8
2054170.4155.7–181.4135.2118.4–148.8
2055171.2158.7–181.8135.1119.2–151.6
2056168152.6–178.6134.8119.6–149.5
2057169.2153.3–186.3131.9118.5–148.6
2058170.7157.1–185.5137.8122.5–156.5
2059169.8157–187.5134.9117.1–152.5
2060169.5157.6–185.7136.2120.5–150.1
2061170.2157.8–180.7139119.4–154
2062171.2158.1–183134.9119.1–155.9
2063170.6156.5–183.6138.6119.2–152.5
2064170159.8–182.8134.9121.1–152.7
2065171.7160.9–185.3137.1123.3–150.5
2066172.4158.6–184.5136.6119.2–155.1
2067173.9161.8–187.6138.9124.4–154.3
2068172.6159.5–185141.7124.8–159.2
2069174.3160.8–186.2140.3123.5–154.1
2070175.4162.3–186.7137123.6–155.3
2071176.1161.2–188.9140.5123.1–156.1
2072174.1161.5–187.3142.6128–154.3
2073176.1159.9–190.6139.3124.7–154.6
2074173.5157.8–187140.1123–156.5
2075171.3158.5–186.4139.6124.5–157.1
2076173.1158.7–186.3143.4125.2–158.8
2077176.7160.9–189.8141.3119.1–158.3
2078176.2163.1–188.2143127.2–155.9
2079175.2160.1–188144.7123.9–158.5
2080172.9160.7–190.1143.6123.6–158.7
2081175.5161.6–189.9139.9126.3–158.8
2082176.9162.8–188.2145.5125.9–158.1
2083179.2161.9–191.4143.4124.3–158.7
2084179.7164.5–191144.8129.6–159.7
2085177.9162.3–190.8145.3124.7–159.5
2086178.4166.1–189.5144.7129.5–162.7
2087178.1161.8–194.1144125.7–159.2
2088178.1163.4–194.1147.3127.2–165.4
2089177.5162.8–192.6142.7125.3–164.8
2090176.1163.1–191.9145.2126.3–165.1
2091178.7163.4–192.6144.9127.4–164.4
2092179.2164.9–191.4148.2126.3–161.1
2093179.3165.6–193.8146.9127.2–165.6
2094181.3169.4–192.9145.7126.8–160.4
2095181.2166.6–193.1145.5125.4–161.5
2096179.2163.8–193.2146.3130–169.4
2097180.7162.7–194.4144.6125.7–160.6
2098178.4163.1–199147129.6–161.9
2099178.9166.7–191.9145.8130.3–163.7
2100178.7165.8–191.9143.8124.8–163.8

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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