Jordan vs Syria

Jordan vs Syria: Tropical nights

Tropical nights in 2014: 74.7 nights in Jordan and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Syria, by 15 nights, or 1.2 times that in Jordan.

nights a year · CMIP6

Jordan vs Syria: Tropical nightsTropical nights in 2014: 74.7 nights in Jordan and 89.6 nights in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Syria, by 15 nights, or 1.2 times that in Jordan.
JordanSyriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Syria 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 Syria at 133.8 nights in 2100.

Every year

nights a year · CMIP6

YearJordanSyria
201474.789.6
201372.290.8
201271.991.2
201171.489.6
201071.488.1
200966.986.2
200869.487.9
200764.685
200667.787.3
200566.285.3
200467.486.7
200368.286.7
20026384.3
200168.385.9
200063.883.2
199962.282.1
199861.880.5
199759.280.5
199656.678.1
199554.175.8
199454.676.7
199345.271.5
199248.371.3
199152.375.5
199057.779.3
198953.475.7
198850.576.2
198749.573
19865276
198547.172.6
198444.269.6
198341.567.9
198247.472
198148.372
198049.275
197941.867.7
197845.170.2
197746.770.1
197645.673.4
19754369
197445.170
197344.670.7
197244.870.1
197147.270.7
197044.370.9
196946.371.3
196842.668.7
196741.568.8
19664368.8
196536.864.3
196437.766.4
19634369.1
19624571.5
196145.470.8
196046.371.7
195946.372.7
195847.272.8
195748.772.6
195648.472.2
195545.570.3
195442.768.9
195347.872.2
195245.770.8
19514572.4
195041.868.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanSyria
201581.862.6–98.996.981.9–110.9
201679.261.3–95.293.581.2–108.2
201782.466.3–96.69782.1–109.5
201884.868.8–102.197.785.9–111
201987.467.5–100.798.983.7–111.2
202086.866.8–102.298.683.7–112.6
202188.273.8–101.110087.1–110.7
202288.170–103.7101.684.9–113.2
202392.474.7–106.4101.988.3–115.3
202490.776.3–107.1102.790.7–113.8
202594.173.1–105.2102.988.6–114.2
202691.678.6–106.9103.389.5–116.1
202794.475.7–108.4103.886.7–116.5
202892.675.9–106.3103.589.2–116.4
202995.381.2–107.3105.694–116.3
203096.381.5–111.7105.991.3–119.2
203193.876.5–110.6105.190.7–116
203210086.4–110.9107.893.2–119.4
2033100.683.6–113.6108.796.6–119.1
203498.882.4–112.3107.593.9–119
2035101.883.2–115.2108.596.3–118.3
203697.885.1–116.2105.793.2–118.7
203710384.6–117.8109.294.8–121.9
2038102.386.1–122.6111.897.8–125.5
2039107.190.5–125.7112.398.9–128
2040106.387.8–125.5111.898.5–127.5
2041103.787.8–123.2110.799.1–124.5
2042108.586.5–122.3112.996.4–126.5
2043105.791–124.9113.199.7–127.3
2044105.682.8–125.1112.599.8–128.8
204511298.8–128118.4105.5–131.3
204611395.5–127.5117.2104.7–129
2047112.293–125.7114.9100.6–129.1
2048111.893.7–129.7114.3101.2–130.8
2049110.384.7–125.611499.3–128.9
2050112.495.9–127.2116.8104.6–132.7
2051112.397–125.6117.7105.5–129
2052110.697.4–125.9116.2103.9–128.2
2053113.798.2–129.9119.1105.2–131.3
2054115.492.5–130.9119.7102.7–135.5
2055115.794.8–130.2120.8104.3–134.2
2056115.394.2–130.5119.799.9–132.9
2057115.496.7–135.6120.6102.3–137.1
2058116.196.6–136.8120.1103.1–136.5
2059120.998.5–137.1123.5107.4–137.2
2060115.898.7–138.7119.6106.4–140.3
2061118.897.1–132.3122.8103.9–136.1
206212091.6–136.4121.8104.3–136.5
2063118.7101.7–135.9122.1106.2–136.7
2064121.4103.3–135.9124.3108.4–136.6
2065120.2100.4–134.9123.7108.9–138.7
2066120.498.5–135122.1104.4–136.2
2067124106.1–139.5126111.1–142.7
2068123.2105.3–138.1126.8112.1–140.3
2069118.8105.4–137.2123107.9–137.3
2070123104–140.8126.5110.3–139.4
2071123.6103.8–144.3126109.5–142.8
2072124.5106.3–140.9128111.8–141.9
2073126.6104.8–144.4127.6108–143.7
2074120.9103–139.6124.2107–139.7
2075121.7103.1–138.1124.7109.2–140.6
2076124.1105.4–144.2126.6109.8–140.8
2077124.2105.3–143.9127.5109–143.3
2078124.7105.6–142.8127.2113.3–141.8
2079132107–143.6132.9116–146.9
2080128.9106.2–144.4129111.8–144.3
2081125.3108.7–144.8127.6112.5–145.6
2082128107.9–145.2129.1111.3–143.8
2083130.9108–144.7133.2110.3–144.1
2084130.5110.6–145132.2111–145.1
2085129.1108.8–141.7130.9112.7–143.3
2086127.5108.9–147.6130.9112.6–146.5
2087129.8106.1–148.4129.6109.8–148.7
2088132.2114.9–149.4132.5116.9–146.5
2089128.7113.4–148.5130.4115.3–148.4
2090128.2111.9–151.3128.9115–145.8
2091132.8112.5–152.1133.4116–150.3
2092130.6108.3–152.6131.6115.3–149
2093135.8116.2–154.4135119.8–151
2094135.9116.3–150.6134118–148.5
2095133112.7–149.6134.3117.3–148.9
2096130.4108.1–151.3131.5113.7–148.7
2097134.5113.5–155.4136.2112.7–154.1
2098132.5114.9–152.3131.5115.2–152.2
2099132.1115.3–145.3132.8116–145.1
2100131.7111.2–153.1133.8113.2–152.2

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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