Israel vs Saudi Arabia

Israel vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 83.6 nights, or 1.85 times that in Israel.

nights a year · CMIP6

Israel vs Saudi Arabia: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 83.6 nights, or 1.85 times that in Israel.
IsraelSaudi 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 Israel at 149.4 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelSaudi Arabia
201497.9181.5
201398180.4
201296.3182.8
201196.1182.7
201095.5179.2
200992.5177.1
200894.1180.3
200792.7178.9
200692177.5
200592.3177.9
200490.7177.6
200393.9177.4
200289.5175.6
200191178.1
200089.5176.4
199986.2173.2
199884.8173.4
199784.2173.8
199683.7172
199579.3169.2
199480.1170.4
199371.6164.6
199274.9165.9
199178.4169.2
199080.2172.7
198976.9168.9
198876.5166.8
198775.1167.3
198678.3169.4
198574166
198469.4165
198368.9163.5
198273.5164.7
198173.5168.9
198075.3166.8
197968.7165.3
197871.6164.8
197772.3165.6
197673.2165.9
197570.9161.2
197472.5162.9
197371.9163.7
197269.9163.7
197173.1160.4
197071.6162.5
196970.6161.3
196869.6162.7
196766.9159.5
196668.8159.5
196563.5159.5
196466.1159.9
196370.9160.2
196273163.2
196171.5163.7
196074.9165.7
195975164.4
195873164.1
195774.8165.5
195674.3163.6
195572.8162
195471.4161.2
195373.7162.5
195272163.4
195175.1161.2
195069.5161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelSaudi Arabia
2015105.988.4–122.7184.9169.4–198.7
2016104.186.9–120.1183167.7–195.7
2017107.892.2–121.4182.6168.1–196.7
201810993.8–124.2186.8173.1–199.4
201910989.1–124.5184.1168.8–199.1
2020111.594.8–123.5185.3171.8–198.9
202111097.7–128.4188.6173.6–202.8
2022111.493.6–130.2187.6170.7–202
2023117.297.9–130.5188.6173–203.8
2024114.5100.4–127.3187.1172.9–203.9
2025116.698.3–129.2191.5176–206.1
2026115.9104.9–126.2191.8177.1–205.5
2027115.699–127.1191.2176.6–206.8
2028116.3100.2–127.9191.9175.5–205.1
2029117103.1–129.2192.2176.6–205.7
2030118.6102.1–131.2193.3178.4–206.3
2031116.8104.4–132.8194.7179.1–207.6
2032121.4106.5–134.7192.2175.2–206
2033122.1108.9–134.7192.6177.5–206.9
2034119.7103.1–133.4196.7181.6–213
2035122.8105.8–138.8196.5179.9–211.6
2036120.2105.5–136.2194.1180–209.7
2037121.6106.3–139.4197183.7–209.9
2038126.5105.7–142.1198.4182.3–213.3
2039127.7110.5–147.1198184.4–213.6
2040124.2109.7–144.9199.2182.1–212.7
2041126108.4–141.5197.7181.4–211.7
2042128.5105.8–144.3198.3181.2–217
2043126.5111.8–144.3198.2182.3–215.3
2044125.9108.5–142.9199.2185.5–213.5
2045130.9117.5–148.6202187.1–216.8
2046131114.4–147.2204.1185.3–219.4
2047132.3116.1–145.4204.1187.4–220
2048129.9118.5–146.9206.1190.7–220
2049127.9108.7–143.9201.6187.7–216.2
2050133.3114.3–147205.7190.2–219.3
2051130.3116.7–143.9204.3188.8–222.1
2052130.3119.9–143.5203.8189.6–218
2053135120.4–149.7203.8186.3–218.8
2054134.1118.8–149.3207.6188.3–222.3
2055134.1115.2–150.3207.8190.8–221
2056136110.1–151.1203.7186.6–220.1
2057132.7110.9–155207.5188.8–224.2
2058135.7119.1–155.4205.9189.2–221.4
2059138.8118.5–156.7207.3191.6–226.9
2060136.1116.3–159.2206.9192.7–222.8
2061136119–150.7206.5190.4–220.9
2062139118.7–156208.1189.4–228.3
2063137.4120.1–151.2210.4193–227.1
2064139.3121–154.3207.5191.9–223.3
2065139.6122.3–154.3208.9193.9–226.1
2066137.3119.6–153.7210.3194.9–228
2067142.8126–157.8210.9193.1–228.6
2068141.2122.8–156.4209.8194.6–228.6
2069141.5123.7–157.6208.9194.5–226.3
2070141.8120.5–157.5211.2191.2–229
2071142.9124.3–161.8215.1196.3–233.3
2072144.3127–158.5213.6195.3–229.3
2073143.6127.3–159.2213.7194.1–231.6
2074138.8123–162.2210.5191.9–229.3
2075138.1120.8–154.6212.1196.6–231.8
2076143.2126.8–161.5212.8194.8–230.3
2077142.8120.5–161.6215.1196.6–233.9
2078143.6128.2–160.6215.5197.6–230.7
2079148.6123.7–160.2213.6197–229
2080145.5123.5–163.7213.6197.1–233.9
2081143.7128.1–161.2214.7194.4–231.6
2082145.8129.5–160.6214198.9–230.9
2083149.4126–163.1214.2198.5–238
2084148128.2–164217.4197.4–233.1
2085149127.9–162.4217.4199.6–237.9
2086148127.4–167.1217197.4–237.4
2087146.4123.7–165.7217.3199.7–238.7
2088147.6133.5–165.3216.1198.2–243.1
2089148.4131.4–169.1217.6199.5–239
2090147.6132.4–168.8217.3198.5–239.2
2091151.9131.7–170.6218.5202.8–238.4
2092148.2132–167.4218.5198.5–241.6
2093154.1135.3–172.2216.6197.8–236.3
2094153.2133.6–170.3218.8202–236.9
2095148.2131.4–164.1219.4204.2–237.4
2096150.5130.5–172.6219.9197.7–239.6
2097149.8134.4–172.7216.7196.8–239.7
2098150.9131.3–170.1219.7199.6–241.3
2099149.5129–166.6216.8200.8–236.8
2100149.4130.1–168.5218.7202.3–241

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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