Iran vs Jordan

Iran vs Jordan: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 16.2 nights, or 1.22 times that in Jordan.

nights a year · CMIP6

Iran vs Jordan: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 74.7 nights in Jordan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 16.2 nights, or 1.22 times that in Jordan.
IranJordanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iran at 124.4 nights and Jordan at 131.7 nights in 2100.

Every year

nights a year · CMIP6

YearIranJordan
201490.874.7
201390.672.2
201290.371.9
201189.871.4
20108771.4
200987.266.9
20088869.4
200787.964.6
200688.267.7
200587.166.2
200486.467.4
200385.968.2
200287.763
200186.668.3
200086.563.8
199985.162.2
199883.861.8
199784.359.2
199682.456.6
199581.654.1
199480.654.6
199377.745.2
19927748.3
199181.952.3
199083.157.7
198981.753.4
198880.450.5
198779.849.5
198680.152
198579.747.1
198478.844.2
198375.541.5
198277.947.4
198180.248.3
198079.449.2
197980.241.8
197878.145.1
197777.846.7
197677.245.6
197576.643
197476.445.1
197376.944.6
197277.444.8
19717547.2
197075.344.3
196975.646.3
196876.342.6
196776.141.5
196675.543
196575.336.8
196475.337.7
196376.443
196277.545
196177.745.4
196077.646.3
195976.846.3
195878.447.2
195778.248.7
195676.248.4
195576.545.5
195477.642.7
195377.347.8
195278.245.7
195176.645
195077.741.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranJordan
201594.482.7–10681.862.6–98.9
201694.183.1–105.379.261.3–95.2
201793.981.7–10482.466.3–96.6
201894.183–106.384.868.8–102.1
201995.183.4–105.887.467.5–100.7
202095.985.5–107.586.866.8–102.2
202197.286–107.788.273.8–101.1
202296.285.2–108.388.170–103.7
202398.485.7–110.692.474.7–106.4
20249885.1–110.590.776.3–107.1
202598.787.2–110.594.173.1–105.2
202699.186.7–111.791.678.6–106.9
2027100.288.7–112.194.475.7–108.4
202899.686.2–111.692.675.9–106.3
202999.386.7–109.995.381.2–107.3
2030100.889.8–111.696.381.5–111.7
2031102.990.1–114.893.876.5–110.6
2032101.289–113.910086.4–110.9
2033102.889.9–115.1100.683.6–113.6
2034104.690.7–117.398.882.4–112.3
203510592.1–116.2101.883.2–115.2
2036103.591.4–115.297.885.1–116.2
203710693.1–119.410384.6–117.8
2038105.993.2–116.5102.386.1–122.6
2039104.392.9–116.6107.190.5–125.7
2040105.592.3–118.4106.387.8–125.5
2041104.892.5–116.4103.787.8–123.2
2042107.793.4–120.7108.586.5–122.3
204310692.9–118.8105.791–124.9
2044106.893.6–121.2105.682.8–125.1
2045108.795.1–121.811298.8–128
2046109.296.1–121.911395.5–127.5
2047110.596.9–123.3112.293–125.7
2048111.498.6–124111.893.7–129.7
204911095.7–123.4110.384.7–125.6
2050112.199.6–125.1112.495.9–127.2
2051111.797.6–124.1112.397–125.6
205211298.3–126110.697.4–125.9
2053111.597.5–124113.798.2–129.9
2054111.899–126.3115.492.5–130.9
2055114.6101.4–128115.794.8–130.2
2056113.1100.2–126.2115.394.2–130.5
2057113.899.9–128.9115.496.7–135.6
2058114.2100–127.7116.196.6–136.8
2059113.498.9–126.3120.998.5–137.1
2060116.3100.3–129.5115.898.7–138.7
2061115100.5–127.6118.897.1–132.3
2062115.799.7–131.112091.6–136.4
2063117103.7–130.3118.7101.7–135.9
2064115.1101.7–130.3121.4103.3–135.9
2065117.3102.8–132.3120.2100.4–134.9
2066117.7103.7–132.1120.498.5–135
2067119103–133.5124106.1–139.5
2068118.1104.3–131.4123.2105.3–138.1
2069118.4103.8–133.2118.8105.4–137.2
2070118.2104.9–132.9123104–140.8
2071119.3105.1–135.3123.6103.8–144.3
2072119103.2–135.1124.5106.3–140.9
2073120.6104.9–137.7126.6104.8–144.4
2074119.1104.4–134.5120.9103–139.6
2075119.7105.9–135.5121.7103.1–138.1
2076118.9102.6–137124.1105.4–144.2
2077120.3104.3–135.3124.2105.3–143.9
2078119.2105.3–136124.7105.6–142.8
2079120.1103.2–135.6132107–143.6
2080120.4106.1–139.5128.9106.2–144.4
2081120.5104.3–137.1125.3108.7–144.8
2082122.5107.5–137.7128107.9–145.2
2083122.6105.8–140.4130.9108–144.7
2084123.7107.6–139.1130.5110.6–145
2085121.3106.6–140.6129.1108.8–141.7
2086122.1107.9–139.8127.5108.9–147.6
2087123.7108–140.7129.8106.1–148.4
2088124106.5–142.2132.2114.9–149.4
2089124.1109–139.7128.7113.4–148.5
2090122.5105.4–141.9128.2111.9–151.3
2091124.3108–140.5132.8112.5–152.1
2092125.5110.1–140130.6108.3–152.6
2093124.5109–139.3135.8116.2–154.4
2094125108.7–142.9135.9116.3–150.6
2095125.3108.5–141133112.7–149.6
2096125.8109–142.4130.4108.1–151.3
2097123.6106.9–141.8134.5113.5–155.4
2098125.8109.4–143.8132.5114.9–152.3
2099123.1107.8–140.1132.1115.3–145.3
2100124.4107.9–143.7131.7111.2–153.1

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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