Austria vs United Arab Emirates

Austria vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria 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 214.4 nights, or 260 times that in Austria.

nights a year · CMIP6

Austria vs United Arab Emirates: Tropical nightsTropical nights in 2014: 0.8 nights in Austria 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 214.4 nights, or 260 times that in Austria.
AustriaUnited 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 Austria at 6.7 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaUnited Arab Emirates
20140.8215.2
20130.4215.5
20120.5219.6
20110.6218
20100.5213.7
20090.3212
20080.3214.8
20070.2215.8
20060.4215.4
20050.4212.2
20040.4212.4
20030.3213.4
20020.2211.6
20010.3211.6
20000.3212.5
19990.3211.7
19980.1209.4
19970.1210.8
19960.2207.8
19950.2206.6
19940.1206.8
19930204.2
19920204.3
19910.2206.7
19900.2208.5
19890.2205.9
19880.1204
19870.1203.6
19860.1206.2
19850.1204.1
19840202.6
19830.1200.4
19820203.2
19810205.1
19800.1202.8
19790203.2
19780.1201.5
19770202.2
19760.1202.3
19750.1199.3
19740.1202
19730200.9
19720.1199.4
19710197
19700201.3
19690.1199.8
19680202.3
19670.1197.7
19660198
19650200.5
19640.1199.6
19630.1197.9
19620201.1
19610.1200.6
19600204.3
19590.2202.6
19580202.7
19570203.2
19560.1202.6
19550.1201
19540200.2
19530.1200
19520.1200.2
19510198.9
19500.1201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaUnited Arab Emirates
20150.60.1–2221.6206.4–232
20160.70.1–2.6218.7207.6–229.7
20170.90.1–3.4218.3203.9–232.7
20180.80.2–3.2221.4209.2–237.6
20190.90.2–2.9218.7202.8–232.2
20201.30.2–3.4221.7206.9–233.5
20210.70.1–3.1224.6210.5–236.3
20221.10.1–3.4225.3206.9–235.7
20230.90.1–3.9225209.1–236.4
20240.90.1–3.4223.8205.2–240
20251.60–4226.3210.1–245
20261.40.2–4.4227.7214.2–244.9
20271.10.1–3.6227.6208.2–241.5
20281.30.3–4.3229.9210.9–241.3
20291.50.2–5.5225.1211–240
20301.20.1–4.2227.6216.2–240.9
20311.30.2–4.1229.3215.4–238.4
20321.50.2–4.9225.5211.9–240.5
20331.60.1–5224.2211.4–241.3
203420.1–5.8230.4213–245
20351.90.3–5.3231.6214.2–246.5
20362.30.4–7230217.2–247.1
20372.20.3–6.6232.6220.2–244.5
20381.90.3–7.1233.6213.5–248.4
20392.80.3–6.4231.4218.1–245.6
20402.40.7–5.8232.5214–246.4
20412.40.5–5.5230.4214.9–244.7
20422.50.4–6.8232.6213.3–249.6
20432.70.4–6.2233.9220.3–250.1
20442.30.6–7.4236.3223.3–250
20452.70.4–6.5236217.2–252
20462.90.4–8.7237.5219.3–255
20473.80.3–8.2240.9222.1–253
20483.20.3–10.2241.8226.1–256.9
20493.50.2–7.6233.7215.7–249.4
20502.81–7240.1226.8–250.9
20512.40.4–8.2240.9227.2–254.5
20523.60.5–7.5239.2228.3–256.1
20532.30.6–6.3241.4221.7–257.4
20542.70.8–7241.3223.5–256.1
20553.20.5–9.2240.5223.3–259.3
20563.61–8.8239.3220.5–258.9
20573.30.8–7.5242.2226.6–260.2
205850.3–10.8238.9224.7–255.4
20594.40.6–11.5244.2226.6–262.6
20603.91.1–10241227.4–255.2
20614.51.4–9.4239.9227.9–253.1
20623.90.9–9.2243.2227.3–264.4
20635.41.4–11.3245.3229.1–264.6
20644.70.9–9.9241.1225.2–258.6
206551.3–10.6244.3225.3–260.5
20664.91.2–11.6246230.8–261.7
20675.91.3–13.5245.4223–265.8
20684.71.6–9.3245.4232.6–266.7
20695.11.3–10.1244.6227.4–262.2
20704.41.2–11.6248.1225.9–266.5
20714.80.5–12.5248.6231–266
20725.81.9–10.2247.9230.2–267
20735.31.4–10.5247.9227.6–261.8
20744.51–11.8247.5227.3–270.8
20755.61.5–13.6251.8234.3–269.8
20766.20.9–14.6247.5228.7–266.1
20774.51.4–12.9252.9233.3–269.1
20785.61–15249.9234.1–264.7
20796.80.8–17.4247.6227.4–265.8
20806.31.8–13.3248232–267.9
20815.71.6–12.9250.7231–267.6
208272.2–16.2248.9235.3–266.8
20835.31.5–12.9248.6234.2–273.1
20846.11.3–11.5248.9228.9–268.2
20856.41.9–13.3253236.8–270.7
20866.41.7–15.1253.4234.9–273.3
20877.21.4–15.3252.9236.9–274.1
208872.3–15252.1231.1–276.1
20896.51.8–19253.4234.1–271.9
20906.11.9–17.7251.9236.4–274.5
20917.91.9–16.7254.8240.7–274.4
20926.91.4–14.4254.6232.1–275.1
20935.61.4–13.6250.9233.5–268.9
20948.51.8–15.3251.6236.6–270.8
20957.21.2–16252.4238.2–272
20966.51–15.2254.6236–272.6
20975.41.1–15251.4227.8–278
20987.62.1–15.1257.8237.5–278.8
20997.51.3–17.6252.5233.5–276.1
21006.72.5–16.1252236.2–276

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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