Syria vs Yemen

Syria vs Yemen: Tropical nights

Tropical nights in 2014: 89.6 nights in Syria and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 86.2 nights, or 1.96 times that in Syria.

nights a year · CMIP6

Syria vs Yemen: Tropical nightsTropical nights in 2014: 89.6 nights in Syria and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 86.2 nights, or 1.96 times that in Syria.
SyriaYemenCMIP6 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 Syria at 133.8 nights and Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearSyriaYemen
201489.6175.8
201390.8176.9
201291.2178.4
201189.6178.3
201088.1174.9
200986.2173.4
200887.9174
200785173.9
200687.3173.6
200585.3172.4
200486.7174.3
200386.7173.5
200284.3171.8
200185.9172.7
200083.2167.9
199982.1168.6
199880.5168.7
199780.5168.8
199678.1166
199575.8164.3
199476.7161.6
199371.5161.2
199271.3157.2
199175.5166.5
199079.3168.3
198975.7164.3
198876.2163.7
198773160.7
198676162.3
198572.6158.2
198469.6159.8
198367.9155.4
198272161.5
198172161.7
198075158.5
197967.7160.1
197870.2158.9
197770.1161.2
197673.4157.5
197569156.9
197470157.8
197370.7158.1
197270.1157.5
197170.7156.7
197070.9156.9
196971.3157.5
196868.7154.5
196768.8152.1
196668.8155.1
196564.3153.5
196466.4154
196369.1154.7
196271.5155.9
196170.8158.7
196071.7160.1
195972.7156.1
195872.8158.5
195772.6158.1
195672.2156.2
195570.3157.4
195468.9156.1
195372.2155.1
195270.8157
195172.4155.4
195068.9157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSyriaYemen
201596.981.9–110.9180.9163.8–197.8
201693.581.2–108.2178.4162.7–194.6
20179782.1–109.5179.8162.3–196.8
201897.785.9–111183.2165.3–198.6
201998.983.7–111.2179162–200.4
202098.683.7–112.6181.5163.1–195.9
202110087.1–110.7184.6170.2–202.6
2022101.684.9–113.2184.1167.5–203.7
2023101.988.3–115.3186.8170.1–200.5
2024102.790.7–113.8185.3168.8–206.4
2025102.988.6–114.2186.5164.7–211.8
2026103.389.5–116.1187.8167.9–208.8
2027103.886.7–116.5186.5167.9–205.3
2028103.589.2–116.4188.2172.3–203.6
2029105.694–116.3193175.7–211.5
2030105.991.3–119.2189.4171.6–207.4
2031105.190.7–116193.4176.6–211.5
2032107.893.2–119.4192.7173.2–213.2
2033108.796.6–119.1191.2173–209.1
2034107.593.9–119193.1172.1–214.9
2035108.596.3–118.3193.1174.5–214.1
2036105.793.2–118.7194177.6–213.5
2037109.294.8–121.9195.9180.3–212.8
2038111.897.8–125.5197.6178.5–217.1
2039112.398.9–128194.8179.8–215.4
2040111.898.5–127.5196.4178.8–220.1
2041110.799.1–124.5198.5176.5–216.9
2042112.996.4–126.5197.3174.4–225.8
2043113.199.7–127.3198.3179.3–221
2044112.599.8–128.8198.7180.5–221.9
2045118.4105.5–131.3199.8181.6–220.3
2046117.2104.7–129202.2181.7–229.3
2047114.9100.6–129.1205182.7–229.8
2048114.3101.2–130.8207.4188.8–229.5
204911499.3–128.9203.6186.1–222.5
2050116.8104.6–132.7202.8186.2–226.3
2051117.7105.5–129204.6185.1–229.1
2052116.2103.9–128.2207.2186.9–227.7
2053119.1105.2–131.3203.9186.1–226.9
2054119.7102.7–135.5208.4188.3–234.9
2055120.8104.3–134.2208.3190.7–228
2056119.799.9–132.9208.6188.5–236.3
2057120.6102.3–137.1208.4190.1–233.1
2058120.1103.1–136.5207.2184.7–236
2059123.5107.4–137.2213.3191.6–239.3
2060119.6106.4–140.3215194.1–235.3
2061122.8103.9–136.1209.8189.8–233.3
2062121.8104.3–136.5211.4189.6–246.5
2063122.1106.2–136.7215.9193.5–239.5
2064124.3108.4–136.6212.6194.7–231.7
2065123.7108.9–138.7212.5191.7–241.4
2066122.1104.4–136.2215.6196.9–241.3
2067126111.1–142.7214.6192.2–242.5
2068126.8112.1–140.3217192.5–243.8
2069123107.9–137.3216.7196.5–240.8
2070126.5110.3–139.4214.6189–244.5
2071126109.5–142.8221.2192.7–244.8
2072128111.8–141.9217.5194.7–239.4
2073127.6108–143.7220.5197.7–248.2
2074124.2107–139.7215.3193.3–240.1
2075124.7109.2–140.6220.7195.5–247.6
2076126.6109.8–140.8219.5196.2–243.5
2077127.5109–143.3220.8193.8–249.9
2078127.2113.3–141.8220.7198.9–246.9
2079132.9116–146.9219.4195.2–249.3
2080129111.8–144.3221.7197.8–246
2081127.6112.5–145.6222.4199.1–247
2082129.1111.3–143.8220.1198.5–243
2083133.2110.3–144.1217.4195.3–258.9
2084132.2111–145.1223.7195.6–246
2085130.9112.7–143.3225.1203.3–254.4
2086130.9112.6–146.5223.1196.5–256
2087129.6109.8–148.7225.8201.1–255.8
2088132.5116.9–146.5224197.1–259.9
2089130.4115.3–148.4225.6200.2–255.2
2090128.9115–145.8225.1201.5–253
2091133.4116–150.3228.1201.9–261.8
2092131.6115.3–149227.3200.1–261.6
2093135119.8–151223.6200.9–258.9
2094134118–148.5223200.3–250.5
2095134.3117.3–148.9228205.2–255.9
2096131.5113.7–148.7225.1201.6–257.9
2097136.2112.7–154.1222.6200.1–251.1
2098131.5115.2–152.2225.6199.6–261
2099132.8116–145.1223.2200.6–251.1
2100133.8113.2–152.2225.7204.7–259.7

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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