Jordan vs Palestinian Territories

Jordan vs Palestinian Territories: Tropical nights

Tropical nights in 2014: 74.7 nights in Jordan and 96.4 nights in Palestinian Territories, in the CMIP6 climate models’ median run. In 2014 the value was higher in Palestinian Territories, by 21.7 nights, or 1.29 times that in Jordan.

nights a year · CMIP6

Jordan vs Palestinian Territories: Tropical nightsTropical nights in 2014: 74.7 nights in Jordan and 96.4 nights in Palestinian Territories, in the CMIP6 climate models’ median run. In 2014 the value was higher in Palestinian Territories, by 21.7 nights, or 1.29 times that in Jordan.
JordanPalestinian TerritoriesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Palestinian Territories 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 Palestinian Territories at 146.7 nights in 2100.

Every year

nights a year · CMIP6

YearJordanPalestinian Territories
201474.796.4
201372.297.8
201271.996.2
201171.496
201071.496.5
200966.993.1
200869.494.3
200764.691.9
200667.792.5
200566.292.1
200467.491.7
200368.294.3
20026389.4
200168.391.6
200063.889.3
199962.287.5
199861.884.9
199759.284.6
199656.683.2
199554.179.5
199454.680.8
199345.271.3
199248.374.6
199152.379.4
199057.780.1
198953.476.9
198850.578.2
198749.575
19865278.4
198547.174.6
198444.270.5
198341.569.6
198247.473.7
198148.372.6
198049.275.5
197941.869.2
197845.170.3
197746.771.5
197645.673.1
19754371
197445.172.2
197344.671.9
197244.870.5
197147.273.3
197044.370.2
196946.370.7
196842.669.9
196741.566.7
19664370
196536.863.8
196437.766.6
19634371.2
19624573.4
196145.471.5
196046.375.7
195946.375.7
195847.273
195748.774.6
195648.475.1
195545.574.1
195442.771.2
195347.874.6
195245.772.6
19514573.9
195041.867.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanPalestinian Territories
201581.862.6–98.9106.889.2–122.2
201679.261.3–95.2104.386.2–119.4
201782.466.3–96.6108.293.6–122.4
201884.868.8–102.1110.195.9–123.1
201987.467.5–100.7108.890.9–124.1
202086.866.8–102.211194.8–123.6
202188.273.8–101.1110.898.1–129
202288.170–103.7111.494.4–129.1
202392.474.7–106.4116.497.8–130.3
202490.776.3–107.1114.899.8–127.5
202594.173.1–105.2117.2100.6–128.4
202691.678.6–106.9115.7105.2–126.9
202794.475.7–108.4116.2100.2–127
202892.675.9–106.3117.7101.4–126.4
202995.381.2–107.3117.5103.2–128.4
203096.381.5–111.7117.7103.7–129.7
203193.876.5–110.6117.1105.4–132.4
203210086.4–110.9121.7105.5–134.1
2033100.683.6–113.6121.7109.5–133.4
203498.882.4–112.3119.1103.5–132.3
2035101.883.2–115.2122.5105.3–139.3
203697.885.1–116.2120.3104–134.9
203710384.6–117.8122107.1–139.5
2038102.386.1–122.6126.1106.1–140.6
2039107.190.5–125.7126.5110.9–143.9
2040106.387.8–125.5123.2109–146.9
2041103.787.8–123.2126.7108–140.1
2042108.586.5–122.3127.8106.3–142.4
2043105.791–124.9126.7110.6–141.7
2044105.682.8–125.1126.2108.2–141
204511298.8–128130.2117.3–146.7
204611395.5–127.5130.3114.7–146.2
2047112.293–125.7131.1115–143
2048111.893.7–129.7128.9117–144.4
2049110.384.7–125.6127.9107.6–142.8
2050112.495.9–127.2131.9113.8–145.2
2051112.397–125.6129.8115.6–143.7
2052110.697.4–125.9130.1118.8–142.7
2053113.798.2–129.9134.2121.2–147.8
2054115.492.5–130.9132.5118.7–147.7
2055115.794.8–130.2133.6115.8–147.5
2056115.394.2–130.5135.3108.7–149.8
2057115.496.7–135.6131.1108.4–151.6
2058116.196.6–136.8134.7118.1–151.7
2059120.998.5–137.1136.4118.5–154.1
2060115.898.7–138.7134.6116.8–154.8
2061118.897.1–132.3135.5118.1–149.1
206212091.6–136.4137.4117.3–153.5
2063118.7101.7–135.9135.3120.3–147.8
2064121.4103.3–135.9138.1120–153
2065120.2100.4–134.9139.1120.1–152.9
2066120.498.5–135138.2119.2–151.1
2067124106.1–139.5141.3123–156
2068123.2105.3–138.1140.5122.1–153.3
2069118.8105.4–137.2139.2124.7–156.4
2070123104–140.8140.4118.1–155.1
2071123.6103.8–144.3141.7125.4–157.4
2072124.5106.3–140.9143.1125–158.3
2073126.6104.8–144.4141.7124.7–158.8
2074120.9103–139.6137.6124.4–158.8
2075121.7103.1–138.1137.9119.9–152.2
2076124.1105.4–144.2140.9126.2–159.4
2077124.2105.3–143.9141.7118.9–159
2078124.7105.6–142.8142.1127.9–159.1
2079132107–143.6146.3124.3–159.4
2080128.9106.2–144.4144.3122.9–159.8
2081125.3108.7–144.8140.7123.6–157.9
2082128107.9–145.2144.4127.4–157.7
2083130.9108–144.7148.4124.9–161.4
2084130.5110.6–145146.7125.2–161.2
2085129.1108.8–141.7147.7124.5–160.4
2086127.5108.9–147.6147.2126.5–162
2087129.8106.1–148.4144.3123.1–163.9
2088132.2114.9–149.4145132.3–161.5
2089128.7113.4–148.5148.4130.7–167.5
2090128.2111.9–151.3145.7132.8–167.1
2091132.8112.5–152.1149.3131.6–168.5
2092130.6108.3–152.6147.7132.1–164.7
2093135.8116.2–154.4152.7134.1–168.8
2094135.9116.3–150.6151.1133.4–168.5
2095133112.7–149.6145.7130.2–162.3
2096130.4108.1–151.3148.5129.5–169.4
2097134.5113.5–155.4147.4133.9–168.6
2098132.5114.9–152.3148.9131.2–167.3
2099132.1115.3–145.3147.8127.2–165.1
2100131.7111.2–153.1146.7130–166.8

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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