Syria vs United Arab Emirates

Syria vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 89.6 nights in Syria and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 125.6 nights, or 2.4 times that in Syria.

nights a year · CMIP6

Syria vs United Arab Emirates: Tropical nightsTropical nights in 2014: 89.6 nights in Syria and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 125.6 nights, or 2.4 times that in Syria.
SyriaUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Syria at 133.8 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearSyriaUnited Arab Emirates
201489.6215.2
201390.8215.5
201291.2219.6
201189.6218
201088.1213.7
200986.2212
200887.9214.8
200785215.8
200687.3215.4
200585.3212.2
200486.7212.4
200386.7213.4
200284.3211.6
200185.9211.6
200083.2212.5
199982.1211.7
199880.5209.4
199780.5210.8
199678.1207.8
199575.8206.6
199476.7206.8
199371.5204.2
199271.3204.3
199175.5206.7
199079.3208.5
198975.7205.9
198876.2204
198773203.6
198676206.2
198572.6204.1
198469.6202.6
198367.9200.4
198272203.2
198172205.1
198075202.8
197967.7203.2
197870.2201.5
197770.1202.2
197673.4202.3
197569199.3
197470202
197370.7200.9
197270.1199.4
197170.7197
197070.9201.3
196971.3199.8
196868.7202.3
196768.8197.7
196668.8198
196564.3200.5
196466.4199.6
196369.1197.9
196271.5201.1
196170.8200.6
196071.7204.3
195972.7202.6
195872.8202.7
195772.6203.2
195672.2202.6
195570.3201
195468.9200.2
195372.2200
195270.8200.2
195172.4198.9
195068.9201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSyriaUnited Arab Emirates
201596.981.9–110.9221.6206.4–232
201693.581.2–108.2218.7207.6–229.7
20179782.1–109.5218.3203.9–232.7
201897.785.9–111221.4209.2–237.6
201998.983.7–111.2218.7202.8–232.2
202098.683.7–112.6221.7206.9–233.5
202110087.1–110.7224.6210.5–236.3
2022101.684.9–113.2225.3206.9–235.7
2023101.988.3–115.3225209.1–236.4
2024102.790.7–113.8223.8205.2–240
2025102.988.6–114.2226.3210.1–245
2026103.389.5–116.1227.7214.2–244.9
2027103.886.7–116.5227.6208.2–241.5
2028103.589.2–116.4229.9210.9–241.3
2029105.694–116.3225.1211–240
2030105.991.3–119.2227.6216.2–240.9
2031105.190.7–116229.3215.4–238.4
2032107.893.2–119.4225.5211.9–240.5
2033108.796.6–119.1224.2211.4–241.3
2034107.593.9–119230.4213–245
2035108.596.3–118.3231.6214.2–246.5
2036105.793.2–118.7230217.2–247.1
2037109.294.8–121.9232.6220.2–244.5
2038111.897.8–125.5233.6213.5–248.4
2039112.398.9–128231.4218.1–245.6
2040111.898.5–127.5232.5214–246.4
2041110.799.1–124.5230.4214.9–244.7
2042112.996.4–126.5232.6213.3–249.6
2043113.199.7–127.3233.9220.3–250.1
2044112.599.8–128.8236.3223.3–250
2045118.4105.5–131.3236217.2–252
2046117.2104.7–129237.5219.3–255
2047114.9100.6–129.1240.9222.1–253
2048114.3101.2–130.8241.8226.1–256.9
204911499.3–128.9233.7215.7–249.4
2050116.8104.6–132.7240.1226.8–250.9
2051117.7105.5–129240.9227.2–254.5
2052116.2103.9–128.2239.2228.3–256.1
2053119.1105.2–131.3241.4221.7–257.4
2054119.7102.7–135.5241.3223.5–256.1
2055120.8104.3–134.2240.5223.3–259.3
2056119.799.9–132.9239.3220.5–258.9
2057120.6102.3–137.1242.2226.6–260.2
2058120.1103.1–136.5238.9224.7–255.4
2059123.5107.4–137.2244.2226.6–262.6
2060119.6106.4–140.3241227.4–255.2
2061122.8103.9–136.1239.9227.9–253.1
2062121.8104.3–136.5243.2227.3–264.4
2063122.1106.2–136.7245.3229.1–264.6
2064124.3108.4–136.6241.1225.2–258.6
2065123.7108.9–138.7244.3225.3–260.5
2066122.1104.4–136.2246230.8–261.7
2067126111.1–142.7245.4223–265.8
2068126.8112.1–140.3245.4232.6–266.7
2069123107.9–137.3244.6227.4–262.2
2070126.5110.3–139.4248.1225.9–266.5
2071126109.5–142.8248.6231–266
2072128111.8–141.9247.9230.2–267
2073127.6108–143.7247.9227.6–261.8
2074124.2107–139.7247.5227.3–270.8
2075124.7109.2–140.6251.8234.3–269.8
2076126.6109.8–140.8247.5228.7–266.1
2077127.5109–143.3252.9233.3–269.1
2078127.2113.3–141.8249.9234.1–264.7
2079132.9116–146.9247.6227.4–265.8
2080129111.8–144.3248232–267.9
2081127.6112.5–145.6250.7231–267.6
2082129.1111.3–143.8248.9235.3–266.8
2083133.2110.3–144.1248.6234.2–273.1
2084132.2111–145.1248.9228.9–268.2
2085130.9112.7–143.3253236.8–270.7
2086130.9112.6–146.5253.4234.9–273.3
2087129.6109.8–148.7252.9236.9–274.1
2088132.5116.9–146.5252.1231.1–276.1
2089130.4115.3–148.4253.4234.1–271.9
2090128.9115–145.8251.9236.4–274.5
2091133.4116–150.3254.8240.7–274.4
2092131.6115.3–149254.6232.1–275.1
2093135119.8–151250.9233.5–268.9
2094134118–148.5251.6236.6–270.8
2095134.3117.3–148.9252.4238.2–272
2096131.5113.7–148.7254.6236–272.6
2097136.2112.7–154.1251.4227.8–278
2098131.5115.2–152.2257.8237.5–278.8
2099132.8116–145.1252.5233.5–276.1
2100133.8113.2–152.2252236.2–276

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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