Austria vs Saudi Arabia

Austria vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 180.7 nights, or 220 times that in Austria.

nights a year · CMIP6

Austria vs Saudi Arabia: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 180.7 nights, or 220 times that in Austria.
AustriaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaSaudi Arabia
20140.8181.5
20130.4180.4
20120.5182.8
20110.6182.7
20100.5179.2
20090.3177.1
20080.3180.3
20070.2178.9
20060.4177.5
20050.4177.9
20040.4177.6
20030.3177.4
20020.2175.6
20010.3178.1
20000.3176.4
19990.3173.2
19980.1173.4
19970.1173.8
19960.2172
19950.2169.2
19940.1170.4
19930164.6
19920165.9
19910.2169.2
19900.2172.7
19890.2168.9
19880.1166.8
19870.1167.3
19860.1169.4
19850.1166
19840165
19830.1163.5
19820164.7
19810168.9
19800.1166.8
19790165.3
19780.1164.8
19770165.6
19760.1165.9
19750.1161.2
19740.1162.9
19730163.7
19720.1163.7
19710160.4
19700162.5
19690.1161.3
19680162.7
19670.1159.5
19660159.5
19650159.5
19640.1159.9
19630.1160.2
19620163.2
19610.1163.7
19600165.7
19590.2164.4
19580164.1
19570165.5
19560.1163.6
19550.1162
19540161.2
19530.1162.5
19520.1163.4
19510161.2
19500.1161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaSaudi Arabia
20150.60.1–2184.9169.4–198.7
20160.70.1–2.6183167.7–195.7
20170.90.1–3.4182.6168.1–196.7
20180.80.2–3.2186.8173.1–199.4
20190.90.2–2.9184.1168.8–199.1
20201.30.2–3.4185.3171.8–198.9
20210.70.1–3.1188.6173.6–202.8
20221.10.1–3.4187.6170.7–202
20230.90.1–3.9188.6173–203.8
20240.90.1–3.4187.1172.9–203.9
20251.60–4191.5176–206.1
20261.40.2–4.4191.8177.1–205.5
20271.10.1–3.6191.2176.6–206.8
20281.30.3–4.3191.9175.5–205.1
20291.50.2–5.5192.2176.6–205.7
20301.20.1–4.2193.3178.4–206.3
20311.30.2–4.1194.7179.1–207.6
20321.50.2–4.9192.2175.2–206
20331.60.1–5192.6177.5–206.9
203420.1–5.8196.7181.6–213
20351.90.3–5.3196.5179.9–211.6
20362.30.4–7194.1180–209.7
20372.20.3–6.6197183.7–209.9
20381.90.3–7.1198.4182.3–213.3
20392.80.3–6.4198184.4–213.6
20402.40.7–5.8199.2182.1–212.7
20412.40.5–5.5197.7181.4–211.7
20422.50.4–6.8198.3181.2–217
20432.70.4–6.2198.2182.3–215.3
20442.30.6–7.4199.2185.5–213.5
20452.70.4–6.5202187.1–216.8
20462.90.4–8.7204.1185.3–219.4
20473.80.3–8.2204.1187.4–220
20483.20.3–10.2206.1190.7–220
20493.50.2–7.6201.6187.7–216.2
20502.81–7205.7190.2–219.3
20512.40.4–8.2204.3188.8–222.1
20523.60.5–7.5203.8189.6–218
20532.30.6–6.3203.8186.3–218.8
20542.70.8–7207.6188.3–222.3
20553.20.5–9.2207.8190.8–221
20563.61–8.8203.7186.6–220.1
20573.30.8–7.5207.5188.8–224.2
205850.3–10.8205.9189.2–221.4
20594.40.6–11.5207.3191.6–226.9
20603.91.1–10206.9192.7–222.8
20614.51.4–9.4206.5190.4–220.9
20623.90.9–9.2208.1189.4–228.3
20635.41.4–11.3210.4193–227.1
20644.70.9–9.9207.5191.9–223.3
206551.3–10.6208.9193.9–226.1
20664.91.2–11.6210.3194.9–228
20675.91.3–13.5210.9193.1–228.6
20684.71.6–9.3209.8194.6–228.6
20695.11.3–10.1208.9194.5–226.3
20704.41.2–11.6211.2191.2–229
20714.80.5–12.5215.1196.3–233.3
20725.81.9–10.2213.6195.3–229.3
20735.31.4–10.5213.7194.1–231.6
20744.51–11.8210.5191.9–229.3
20755.61.5–13.6212.1196.6–231.8
20766.20.9–14.6212.8194.8–230.3
20774.51.4–12.9215.1196.6–233.9
20785.61–15215.5197.6–230.7
20796.80.8–17.4213.6197–229
20806.31.8–13.3213.6197.1–233.9
20815.71.6–12.9214.7194.4–231.6
208272.2–16.2214198.9–230.9
20835.31.5–12.9214.2198.5–238
20846.11.3–11.5217.4197.4–233.1
20856.41.9–13.3217.4199.6–237.9
20866.41.7–15.1217197.4–237.4
20877.21.4–15.3217.3199.7–238.7
208872.3–15216.1198.2–243.1
20896.51.8–19217.6199.5–239
20906.11.9–17.7217.3198.5–239.2
20917.91.9–16.7218.5202.8–238.4
20926.91.4–14.4218.5198.5–241.6
20935.61.4–13.6216.6197.8–236.3
20948.51.8–15.3218.8202–236.9
20957.21.2–16219.4204.2–237.4
20966.51–15.2219.9197.7–239.6
20975.41.1–15216.7196.8–239.7
20987.62.1–15.1219.7199.6–241.3
20997.51.3–17.6216.8200.8–236.8
21006.72.5–16.1218.7202.3–241

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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