Jordan vs Saudi Arabia

Jordan vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 60 days in Jordan and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 105.7 days, or 2.76 times that in Jordan.

days a year · CMIP6

Jordan vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 60 days in Jordan and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 105.7 days, or 2.76 times that in Jordan.
JordanSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearJordanSaudi Arabia
201460165.7
201358163.7
201256.6164.4
201155.8164.2
201057.5162.2
200953.6160
200855.7161.6
200751.8159.7
200653160.2
200554.2161
200453160.4
200355.5159.5
200250.5160.4
200155.6162
200050.5159.8
199951.1158.2
199849.7156.3
199745.8156.7
199646.6156.3
199543.6154.1
199441.8154.8
199336.8148.8
199238.4147
199142.2153.4
199047.5156.8
198945.3153.8
198841.2153.1
198741.6152.7
198644.3153.7
198538.8151
198435.1150
198334.4147.7
198238.6149.2
198141.2153.2
198041.7153
197936.2150.7
197837.5149.5
197737.7150.1
197639.9151.5
197534.4146.6
197438147.9
197337149.5
197239.4148.2
197139.4146.3
197038.6146.9
196938.7147.4
196835.4147.4
196735.9145.3
196635.2146.9
196534.8146.3
196433.6145.4
196335.1145.8
196236.9148.7
196138.6150.1
196040.4150.9
195937.6151
195839.8150.2
195741.6152.3
195640.9148.7
195538.6148.6
195436.9148.7
195340.6150.2
195239.3150.8
195139.4148.6
195036.7148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanSaudi Arabia
20156449.4–81168.1155.2–180.8
201661.448.3–81.2167.4155–178.2
201765.451.7–77.7166.4152.1–178.2
201867.651.5–81.8167.1153.7–180.7
201968.755.1–80.3168.2153.9–180.5
202070.253.4–85.6169.6156.7–182
202169.555.5–80.3168.7155.3–180.5
202270.554.7–85.6169.6153.9–183.2
202373.559.3–86.4169.7155.9–184.9
202476.861.8–89.2170.4157.8–184.5
202575.153.9–88.7171.2159.4–181.9
202673.159.1–87173.2159.7–185.5
202777.863.6–89.8173.9159.3–185.4
202875.559.2–89.5172.8158.3–185.8
202975.762.2–89.3171157.4–183.8
203076.763.8–89.4174.4160.6–185.9
203174.661.7–90175160.1–186.7
203281.364.8–92.6173.2160.2–185
203383.164.1–95.2176.3161.4–189.7
203481.163.5–97.1178.6164.5–193.4
20358368.1–95.2176.1161.7–191.7
203677.366.6–95.6174.7162–187.2
203784.766.8–98177.3164.7–189.2
203886.566–103.7177.8163.1–191.7
203987.870.6–104.7178.3165.1–192.5
204086.371.3–101.2178.6165.4–188.9
204185.471.1–102.3177.4162.3–190
204288.267.7–100.5180165.1–193.2
204387.973.4–103.9179.6161.2–192.6
204486.269.6–105180.4167.3–191
204592.880–106.6182.8167.9–195.9
204692.177.5–106.4182168–195.8
20479074.8–109.3182.6170–195
204892.274.7–109.1184.1169.5–199.4
204990.269.6–107.3182.9169.7–195.4
205092.974.2–110.3184.9170.6–196.8
205192.480.3–106.3185.3171.5–197.6
205291.378.4–106.9184.2170–196.6
205392.279.6–108.9181.7168.3–195.1
20549569.5–110.5183.9167.9–197.3
205596.178.3–110.7187.7171.8–200.3
205694.175.3–110.4183.5168.6–196.2
205797.782–114.9186.6172.5–201.3
205898.177–116184.9169.7–198.2
205999.675.6–116.5184.3169.9–199.3
206098.682.9–117.1188.1174–198.7
206199.980.6–113.3187.6174–198.4
2062101.574.2–118.9186.9170.4–201.9
206399.184.1–117.1188.8174.6–201.8
2064101.485.9–119.3187.2174.3–201.1
206598.584.8–116.9186.3171–200.8
2066100.781.1–116.4188.6174.6–204.2
2067102.886.6–122.3190.8177.1–204.4
2068105.687.7–120.5188.1176.8–201.4
2069100.285.7–114.5189.2174–202.2
2070107.586.5–119.7190.4177.1–204.1
2071104.486.3–124.5193.2174.7–207.4
2072106.688.2–123.2190.3174.7–203.7
2073107.987.4–125.6192.8177.3–207.7
2074102.785–122.2189.9174.1–206.8
2075103.886–119.3190.3174.8–206.1
2076105.485.2–123.7190.9175–206.9
2077107.384.5–123.3193.3176.6–206.1
2078107.890.3–124.1192.2178.3–207.4
207911389–125.6192177.9–203.8
2080111.395.9–126192.9177.3–209.4
2081105.488.4–125.6193.1174.9–208
2082110.592.6–127.8192.8177.3–208.2
2083111.388.9–125.7194.3178.4–208.7
2084113.294.7–124.2193.4181.1–208.4
2085109.693.1–124.4193.9178.3–211
208610892.6–126.5193.2177.7–211.5
208711191.6–128.3194.6180.8–208.8
2088115.395.4–129.6195178.3–211.9
2089111.395–129195.7180.6–209.9
2090110.894–128.2194.9178.8–210.6
2091113.493.5–133195.9182.4–210.1
2092111.190.1–133.8195.7181.2–210.7
2093116.992–135194.4178.8–210.4
2094115.697.5–132.8195.7181.7–209.9
2095111.992.9–133.1196.2182.1–210.7
2096111.791.3–130.6196.8178.8–213.1
2097117.392.2–135.7195.2178–211.1
2098113.693–130.7196.3177.7–212.9
2099114.396.8–129.4195.3181.5–210.6
2100114.291.7–133.6195.8182.5–210.3

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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