Italy vs United Arab Emirates

Italy vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 188.9 nights, or 8.19 times that in Italy.

nights a year · CMIP6

Italy vs United Arab Emirates: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 188.9 nights, or 8.19 times that in Italy.
ItalyUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearItalyUnited Arab Emirates
201426.3215.2
201324.7215.5
201224.8219.6
201124.6218
201027.1213.7
200923.7212
200824.1214.8
200721.5215.8
200624.6215.4
200522.5212.2
200424.5212.4
200323.8213.4
200220.6211.6
200120.8211.6
200021.7212.5
199920.3211.7
199818.9209.4
199718.9210.8
199618.9207.8
199517.9206.6
199417.4206.8
199316.3204.2
199215.1204.3
199118206.7
199018.2208.5
198916.6205.9
198815.5204
198716203.6
198615206.2
198514.5204.1
198415.7202.6
198315.3200.4
198214.1203.2
198115.3205.1
198015.9202.8
197914.5203.2
197816.5201.5
197713.5202.2
197613.8202.3
197514199.3
197414.8202
197313.5200.9
197213.7199.4
197115.3197
197014201.3
196914.5199.8
196813.8202.3
196713.6197.7
196613.2198
196512.8200.5
196413.2199.6
196314.2197.9
196215.5201.1
196113.9200.6
196014.9204.3
195916.6202.6
195814.4202.7
195715.5203.2
195616.7202.6
195516.6201
195415.7200.2
195315.4200
195216.6200.2
195116198.9
195015.3201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyUnited Arab Emirates
20153021.7–40.4221.6206.4–232
201629.618–42.2218.7207.6–229.7
201731.820.2–43.7218.3203.9–232.7
20183122–44.3221.4209.2–237.6
201931.521.3–43.2218.7202.8–232.2
202031.619.7–44.3221.7206.9–233.5
20213420.8–46.9224.6210.5–236.3
202237.121.3–50.6225.3206.9–235.7
202333.121.3–47.4225209.1–236.4
202435.521.6–48.4223.8205.2–240
202537.720.5–51.1226.3210.1–245
202638.926.6–52.2227.7214.2–244.9
202734.322.4–49.7227.6208.2–241.5
202837.724.4–53.1229.9210.9–241.3
202937.824.9–55225.1211–240
203037.925.7–54.7227.6216.2–240.9
203137.223.8–51229.3215.4–238.4
203239.226.2–53.8225.5211.9–240.5
203340.426–50.3224.2211.4–241.3
203442.525.1–57.2230.4213–245
203542.728.9–58.3231.6214.2–246.5
203641.127.7–59.9230217.2–247.1
20374328.1–54.8232.6220.2–244.5
203841.628.5–61.3233.6213.5–248.4
20394129.4–56.4231.4218.1–245.6
204042.428.1–59.1232.5214–246.4
204141.927.2–58.7230.4214.9–244.7
204243.529.6–59232.6213.3–249.6
20434528.7–59.5233.9220.3–250.1
204444.929.4–59.9236.3223.3–250
204545.230.3–59.2236217.2–252
20464627.3–62.4237.5219.3–255
204749.132.4–63.6240.9222.1–253
204846.228.3–65.7241.8226.1–256.9
204948.229.5–65.7233.7215.7–249.4
205049.536.4–64.4240.1226.8–250.9
205148.831.6–68.3240.9227.2–254.5
205250.330.9–68.1239.2228.3–256.1
205348.235.9–67241.4221.7–257.4
205449.435.3–66.1241.3223.5–256.1
205552.233.7–67.7240.5223.3–259.3
205650.836.2–71.6239.3220.5–258.9
205750.232.8–65.6242.2226.6–260.2
205855.337.5–70.8238.9224.7–255.4
205951.934.5–74.1244.2226.6–262.6
206052.938.2–68.1241227.4–255.2
206154.338.3–69.8239.9227.9–253.1
206253.936.9–69243.2227.3–264.4
206356.437.6–72.1245.3229.1–264.6
206455.938.5–71.3241.1225.2–258.6
20655537.3–73.3244.3225.3–260.5
206653.935.8–73.8246230.8–261.7
206761.141.2–76.6245.4223–265.8
206856.241.7–73245.4232.6–266.7
206958.741.8–73244.6227.4–262.2
207055.738.9–74.4248.1225.9–266.5
207159.637.8–76.6248.6231–266
207259.643.5–74.6247.9230.2–267
207356.939.4–71.6247.9227.6–261.8
207454.836.7–73.7247.5227.3–270.8
207556.941.8–75.4251.8234.3–269.8
207659.941.9–77.7247.5228.7–266.1
207757.437.9–74.1252.9233.3–269.1
207860.540.5–80.7249.9234.1–264.7
207960.637.1–83.3247.6227.4–265.8
208059.743.1–78248232–267.9
20815943.7–78.9250.7231–267.6
208263.945.5–80.2248.9235.3–266.8
208360.842–79.7248.6234.2–273.1
208462.547.3–82.1248.9228.9–268.2
208565.246.3–79253236.8–270.7
208664.445.6–80.1253.4234.9–273.3
208763.743.8–84252.9236.9–274.1
208867.247.4–84.4252.1231.1–276.1
208964.546–82.9253.4234.1–271.9
209065.842.8–80.5251.9236.4–274.5
209166.745.3–84.7254.8240.7–274.4
209264.838.5–82.3254.6232.1–275.1
209363.644.7–83250.9233.5–268.9
209462.445–82251.6236.6–270.8
20956643.6–83.5252.4238.2–272
20966542.9–85.8254.6236–272.6
209765.844.9–84.4251.4227.8–278
209864.647.9–84.2257.8237.5–278.8
209967.742.2–81.9252.5233.5–276.1
210065.142.5–83.2252236.2–276

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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