Jordan vs Saudi Arabia

Jordan vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 74.7 nights in Jordan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 106.9 nights, or 2.43 times that in Jordan.

nights a year · CMIP6

Jordan vs Saudi Arabia: Tropical nightsTropical nights in 2014: 74.7 nights in Jordan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 106.9 nights, or 2.43 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 131.7 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearJordanSaudi Arabia
201474.7181.5
201372.2180.4
201271.9182.8
201171.4182.7
201071.4179.2
200966.9177.1
200869.4180.3
200764.6178.9
200667.7177.5
200566.2177.9
200467.4177.6
200368.2177.4
200263175.6
200168.3178.1
200063.8176.4
199962.2173.2
199861.8173.4
199759.2173.8
199656.6172
199554.1169.2
199454.6170.4
199345.2164.6
199248.3165.9
199152.3169.2
199057.7172.7
198953.4168.9
198850.5166.8
198749.5167.3
198652169.4
198547.1166
198444.2165
198341.5163.5
198247.4164.7
198148.3168.9
198049.2166.8
197941.8165.3
197845.1164.8
197746.7165.6
197645.6165.9
197543161.2
197445.1162.9
197344.6163.7
197244.8163.7
197147.2160.4
197044.3162.5
196946.3161.3
196842.6162.7
196741.5159.5
196643159.5
196536.8159.5
196437.7159.9
196343160.2
196245163.2
196145.4163.7
196046.3165.7
195946.3164.4
195847.2164.1
195748.7165.5
195648.4163.6
195545.5162
195442.7161.2
195347.8162.5
195245.7163.4
195145161.2
195041.8161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanSaudi Arabia
201581.862.6–98.9184.9169.4–198.7
201679.261.3–95.2183167.7–195.7
201782.466.3–96.6182.6168.1–196.7
201884.868.8–102.1186.8173.1–199.4
201987.467.5–100.7184.1168.8–199.1
202086.866.8–102.2185.3171.8–198.9
202188.273.8–101.1188.6173.6–202.8
202288.170–103.7187.6170.7–202
202392.474.7–106.4188.6173–203.8
202490.776.3–107.1187.1172.9–203.9
202594.173.1–105.2191.5176–206.1
202691.678.6–106.9191.8177.1–205.5
202794.475.7–108.4191.2176.6–206.8
202892.675.9–106.3191.9175.5–205.1
202995.381.2–107.3192.2176.6–205.7
203096.381.5–111.7193.3178.4–206.3
203193.876.5–110.6194.7179.1–207.6
203210086.4–110.9192.2175.2–206
2033100.683.6–113.6192.6177.5–206.9
203498.882.4–112.3196.7181.6–213
2035101.883.2–115.2196.5179.9–211.6
203697.885.1–116.2194.1180–209.7
203710384.6–117.8197183.7–209.9
2038102.386.1–122.6198.4182.3–213.3
2039107.190.5–125.7198184.4–213.6
2040106.387.8–125.5199.2182.1–212.7
2041103.787.8–123.2197.7181.4–211.7
2042108.586.5–122.3198.3181.2–217
2043105.791–124.9198.2182.3–215.3
2044105.682.8–125.1199.2185.5–213.5
204511298.8–128202187.1–216.8
204611395.5–127.5204.1185.3–219.4
2047112.293–125.7204.1187.4–220
2048111.893.7–129.7206.1190.7–220
2049110.384.7–125.6201.6187.7–216.2
2050112.495.9–127.2205.7190.2–219.3
2051112.397–125.6204.3188.8–222.1
2052110.697.4–125.9203.8189.6–218
2053113.798.2–129.9203.8186.3–218.8
2054115.492.5–130.9207.6188.3–222.3
2055115.794.8–130.2207.8190.8–221
2056115.394.2–130.5203.7186.6–220.1
2057115.496.7–135.6207.5188.8–224.2
2058116.196.6–136.8205.9189.2–221.4
2059120.998.5–137.1207.3191.6–226.9
2060115.898.7–138.7206.9192.7–222.8
2061118.897.1–132.3206.5190.4–220.9
206212091.6–136.4208.1189.4–228.3
2063118.7101.7–135.9210.4193–227.1
2064121.4103.3–135.9207.5191.9–223.3
2065120.2100.4–134.9208.9193.9–226.1
2066120.498.5–135210.3194.9–228
2067124106.1–139.5210.9193.1–228.6
2068123.2105.3–138.1209.8194.6–228.6
2069118.8105.4–137.2208.9194.5–226.3
2070123104–140.8211.2191.2–229
2071123.6103.8–144.3215.1196.3–233.3
2072124.5106.3–140.9213.6195.3–229.3
2073126.6104.8–144.4213.7194.1–231.6
2074120.9103–139.6210.5191.9–229.3
2075121.7103.1–138.1212.1196.6–231.8
2076124.1105.4–144.2212.8194.8–230.3
2077124.2105.3–143.9215.1196.6–233.9
2078124.7105.6–142.8215.5197.6–230.7
2079132107–143.6213.6197–229
2080128.9106.2–144.4213.6197.1–233.9
2081125.3108.7–144.8214.7194.4–231.6
2082128107.9–145.2214198.9–230.9
2083130.9108–144.7214.2198.5–238
2084130.5110.6–145217.4197.4–233.1
2085129.1108.8–141.7217.4199.6–237.9
2086127.5108.9–147.6217197.4–237.4
2087129.8106.1–148.4217.3199.7–238.7
2088132.2114.9–149.4216.1198.2–243.1
2089128.7113.4–148.5217.6199.5–239
2090128.2111.9–151.3217.3198.5–239.2
2091132.8112.5–152.1218.5202.8–238.4
2092130.6108.3–152.6218.5198.5–241.6
2093135.8116.2–154.4216.6197.8–236.3
2094135.9116.3–150.6218.8202–236.9
2095133112.7–149.6219.4204.2–237.4
2096130.4108.1–151.3219.9197.7–239.6
2097134.5113.5–155.4216.7196.8–239.7
2098132.5114.9–152.3219.7199.6–241.3
2099132.1115.3–145.3216.8200.8–236.8
2100131.7111.2–153.1218.7202.3–241

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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