Jordan vs Yemen

Jordan vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 60 days in Jordan and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 48 days, or 1.8 times that in Jordan.

days a year · CMIP6

Jordan vs Yemen: Days above 35 °CDays above 35 °C in 2014: 60 days in Jordan and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 48 days, or 1.8 times that in Jordan.
JordanYemenCMIP6 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 Jordan at 114.2 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearJordanYemen
201460108
201358108.4
201256.6108.5
201155.8109.6
201057.5106.6
200953.6106.9
200855.7104.4
200751.8101.8
200653104.3
200554.2104
200453104.3
200355.5104.7
200250.5105.5
200155.6104.7
200050.5104
199951.1101.7
199849.7101.6
199745.8101
199646.699.1
199543.698.7
199441.896.1
199336.893.8
199238.491.4
199142.2100.4
199047.5101
198945.398.2
198841.299.5
198741.697.3
198644.397
198538.895.4
198435.196.3
198334.492.3
198238.695.9
198141.298.5
198041.796.5
197936.296.1
197837.595.8
197737.795.5
197639.995
197534.493.3
19743894.6
19733796
197239.494.7
197139.492.3
197038.691.5
196938.794
196835.490.8
196735.991.5
196635.294.6
196534.890.9
196433.689.1
196335.190.5
196236.994.2
196138.694.4
196040.495
195937.694.2
195839.893.3
195741.696.3
195640.993.5
195538.694.8
195436.993.4
195340.693.9
195239.395.5
195139.493.3
195036.795
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanYemen
20156449.4–81110.294.8–123.7
201661.448.3–81.2110.497.3–122
201765.451.7–77.7110.694.4–122.4
201867.651.5–81.8111.994.4–125.7
201968.755.1–80.3110.692.7–124.2
202070.253.4–85.6111.999.3–125.7
202169.555.5–80.3112.198.9–126.5
202270.554.7–85.611290.1–127.8
202373.559.3–86.4114.796.4–130.2
202476.861.8–89.2114.999.4–132.2
202575.153.9–88.7113.195.7–129.6
202673.159.1–87115.394.8–134.1
202777.863.6–89.8115.396.6–129.4
202875.559.2–89.5115.6100.7–131.6
202975.762.2–89.3117.799.6–132.4
203076.763.8–89.4119102.7–131.5
203174.661.7–90119.4102.8–133.5
203281.364.8–92.6121104.8–136.1
203383.164.1–95.2121.7103.8–137.2
203481.163.5–97.1123.1104.2–139.8
20358368.1–95.2122.2104.2–136.6
203677.366.6–95.6121.6105.4–136.4
203784.766.8–98121.8107–136.9
203886.566–103.7123.5109.3–140.2
203987.870.6–104.7124.4108.2–139.1
204086.371.3–101.2124.5109.7–141.3
204185.471.1–102.3124.3104.3–141.3
204288.267.7–100.5124.9106.5–142.7
204387.973.4–103.9126.2105.4–143
204486.269.6–105127.6108–143.1
204592.880–106.6128.1109.6–146.2
204692.177.5–106.4128.3108.5–146.3
20479074.8–109.3127.9110.6–145.9
204892.274.7–109.1130.8111.1–149.5
204990.269.6–107.3131.1108.5–149
205092.974.2–110.3133112.8–150
205192.480.3–106.3130.7113.4–152.8
205291.378.4–106.9131.6110.6–146.5
205392.279.6–108.9131.5113–151.4
20549569.5–110.5131.8110.9–149.6
205596.178.3–110.7135.7114.8–152.8
205694.175.3–110.4133.8115.7–153.4
205797.782–114.9135.8120.7–155.1
205898.177–116133.8111.9–152.4
205999.675.6–116.5134.2115.3–155.3
206098.682.9–117.1140.1121.7–155.9
206199.980.6–113.3138.2118.8–153.4
2062101.574.2–118.9135.9115.9–160.4
206399.184.1–117.1139.9117.9–157.7
2064101.485.9–119.3139.7118.2–155.7
206598.584.8–116.9135.1115.7–157.8
2066100.781.1–116.4139.5116.6–156.9
2067102.886.6–122.3141.6118.3–160.3
2068105.687.7–120.5138.9117.7–161.2
2069100.285.7–114.5141.4119–157.3
2070107.586.5–119.7141.9120.6–161.6
2071104.486.3–124.5143.6115.7–164.7
2072106.688.2–123.2140.4119.8–157.6
2073107.987.4–125.6143.8124.8–163.1
2074102.785–122.2139.5118.2–162.4
2075103.886–119.3142.5117.4–162.9
2076105.485.2–123.7142.8122.6–161.6
2077107.384.5–123.3144.4117.3–165.4
2078107.890.3–124.1143.5122.8–166.6
207911389–125.6144120.4–162.9
2080111.395.9–126143.8119.6–167.9
2081105.488.4–125.6146.8121.5–166.8
2082110.592.6–127.8144.4122.4–167.3
2083111.388.9–125.7144.2121.6–169.3
2084113.294.7–124.2145.4122.6–167.4
2085109.693.1–124.4147.9124.6–168.3
208610892.6–126.5147121.3–167
208711191.6–128.3148.2125.2–168.4
2088115.395.4–129.6146.5126.6–169
2089111.395–129147.9125.1–169.8
2090110.894–128.2148.9122.3–169.4
2091113.493.5–133149.7125.8–170.7
2092111.190.1–133.8147.1128–170.3
2093116.992–135147125.1–169.5
2094115.697.5–132.8146.1127–166.9
2095111.992.9–133.1149.8131.2–169.5
2096111.791.3–130.6148.2124.1–172.3
2097117.392.2–135.7146.3126.3–169.9
2098113.693–130.7145.2119.7–172.3
2099114.396.8–129.4149.9128.1–171.7
2100114.291.7–133.6148.4131.4–169.2

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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