Syria vs Yemen

Syria vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 77.6 days in Syria and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 30.4 days, or 1.39 times that in Syria.

days a year · CMIP6

Syria vs Yemen: Days above 35 °CDays above 35 °C in 2014: 77.6 days in Syria and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 30.4 days, or 1.39 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 117.9 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearSyriaYemen
201477.6108
201374.8108.4
201276108.5
201174.8109.6
201075106.6
200973106.9
200874.9104.4
200771.1101.8
200673104.3
200572.8104
200472.6104.3
200374.8104.7
200269.9105.5
200173.3104.7
200070.4104
199970.1101.7
199868.8101.6
199767101
199666.799.1
199564.498.7
199462.696.1
199359.493.8
19925891.4
199162.4100.4
199067.5101
198965.398.2
198863.699.5
19876197.3
198665.197
198559.895.4
198458.696.3
198355.792.3
198259.795.9
198161.898.5
198063.596.5
197957.396.1
197858.495.8
197758.895.5
197662.195
197555.693.3
19745994.6
197358.696
197260.394.7
197160.192.3
197060.991.5
196960.994
196858.190.8
196757.691.5
196657.494.6
196555.890.9
196455.989.1
196358.390.5
196259.594.2
196161.194.4
196060.995
195961.694.2
195861.993.3
195762.996.3
195661.393.5
195558.394.8
195458.793.4
19536293.9
195261.595.5
195163.393.3
195059.695
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSyriaYemen
201581.668.2–95.6110.294.8–123.7
201679.368.4–97.9110.497.3–122
20178368.3–94.2110.694.4–122.4
20188469.7–97.7111.994.4–125.7
20198673–95.9110.692.7–124.2
20208469.3–99.4111.999.3–125.7
202185.372.2–96.2112.198.9–126.5
202286.571–98.211290.1–127.8
202388.576.4–101114.796.4–130.2
202490.378–101.5114.999.4–132.2
202589.170.7–102.4113.195.7–129.6
202687.971.8–100.7115.394.8–134.1
202790.575.7–102115.396.6–129.4
202889.175.9–103.8115.6100.7–131.6
20299078.6–104117.799.6–132.4
203090.477.7–104.4119102.7–131.5
203188.677.8–102.7119.4102.8–133.5
20329477.4–106.1121104.8–136.1
203395.579.3–106.3121.7103.8–137.2
203493.979.7–108123.1104.2–139.8
20359583–104.6122.2104.2–136.6
203691.177.5–105.2121.6105.4–136.4
203794.978.3–107.6121.8107–136.9
203897.379.4–111.2123.5109.3–140.2
203998.182.9–115.3124.4108.2–139.1
204097.985.1–111.3124.5109.7–141.3
204196.584.7–109.2124.3104.3–141.3
204298.877.8–110.2124.9106.5–142.7
204399.785.9–112.7126.2105.4–143
204498.585–114.7127.6108–143.1
2045103.692.5–115.5128.1109.6–146.2
2046101.389.1–114.4128.3108.5–146.3
2047100.786.8–117.8127.9110.6–145.9
2048101.485.4–115.8130.8111.1–149.5
2049100.982.6–116.6131.1108.5–149
2050102.588–117.1133112.8–150
2051103.191.6–114.5130.7113.4–152.8
2052100.388–112.1131.6110.6–146.5
205310390.8–117.1131.5113–151.4
2054103.182–121.3131.8110.9–149.6
2055105.790–119.1135.7114.8–152.8
2056101.787.7–117.2133.8115.7–153.4
2057105.190.4–121.4135.8120.7–155.1
2058105.488.3–122.7133.8111.9–152.4
2059106.787.8–122.4134.2115.3–155.3
2060105.592.3–122.3140.1121.7–155.9
2061109.790.9–122.3138.2118.8–153.4
2062107.786.7–124.6135.9115.9–160.4
2063107.692.2–124.2139.9117.9–157.7
2064110.291.7–123.3139.7118.2–155.7
2065108.295.2–122.1135.1115.7–157.8
2066105.388.6–121.8139.5116.6–156.9
2067109.795.4–127.6141.6118.3–160.3
2068111.395.4–126138.9117.7–161.2
2069107.594–120.1141.4119–157.3
2070113.395.9–123.2141.9120.6–161.6
2071109.495.7–126.5143.6115.7–164.7
2072112.698.1–127140.4119.8–157.6
207311393.2–127.9143.8124.8–163.1
2074109.592.9–123.7139.5118.2–162.4
2075111.795.5–125.4142.5117.4–162.9
2076112.294–126.5142.8122.6–161.6
2077110.895.6–128144.4117.3–165.4
2078112100–127.9143.5122.8–166.6
2079117.9100.2–129.8144120.4–162.9
2080116.8101.5–128.9143.8119.6–167.9
2081112.597.1–132146.8121.5–166.8
208211596.5–130.3144.4122.4–167.3
2083115.894.1–131.2144.2121.6–169.3
2084117.696.5–129.2145.4122.6–167.4
2085114.695.2–129.1147.9124.6–168.3
2086114.3100–129.2147121.3–167
2087113.497.9–129.4148.2125.2–168.4
2088118.1101–132.7146.5126.6–169
2089117.199–132.8147.9125.1–169.8
2090116.4101.5–129.4148.9122.3–169.4
2091117100.2–135.8149.7125.8–170.7
2092116100.5–134.1147.1128–170.3
2093119.9102.9–137.9147125.1–169.5
2094117.4104.3–133.7146.1127–166.9
2095117100.8–133.2149.8131.2–169.5
2096115.1100.9–129.7148.2124.1–172.3
2097121.498.4–136.9146.3126.3–169.9
2098117.397.7–133145.2119.7–172.3
2099117.9102.9–129.7149.9128.1–171.7
2100117.998.2–137.3148.4131.4–169.2

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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