Austria vs Thailand

Austria vs Thailand: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 285.6 nights, or 340 times that in Austria.

nights a year · CMIP6

Austria vs Thailand: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 285.6 nights, or 340 times that in Austria.
AustriaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaThailand
20140.8286.4
20130.4289.1
20120.5286.6
20110.6286.4
20100.5286
20090.3286.9
20080.3284.8
20070.2283.2
20060.4284.3
20050.4281.7
20040.4287.5
20030.3279.3
20020.2280
20010.3285.5
20000.3283.4
19990.3282.5
19980.1282.7
19970.1284.8
19960.2279.8
19950.2278.7
19940.1280.8
19930275.6
19920268.8
19910.2276.7
19900.2279.2
19890.2278.4
19880.1279.6
19870.1277.9
19860.1277.5
19850.1276
19840277.9
19830.1273.9
19820275.7
19810277.8
19800.1277.9
19790278
19780.1276
19770277.3
19760.1275.6
19750.1274.4
19740.1276
19730280.6
19720.1273.9
19710273.2
19700276
19690.1274.8
19680277
19670.1270.3
19660274.4
19650275.8
19640.1271.9
19630.1274.7
19620275.4
19610.1278.5
19600276.2
19590.2274.4
19580278.7
19570277.4
19560.1277
19550.1274.6
19540275
19530.1275.4
19520.1275.1
19510277.5
19500.1276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaThailand
20150.60.1–2290.6272.2–305
20160.70.1–2.6287.1269.8–306.2
20170.90.1–3.4290273.8–302.8
20180.80.2–3.2292.6275.1–308.7
20190.90.2–2.9291.2272.8–306.7
20201.30.2–3.4292.4272.2–307.8
20210.70.1–3.1294.2276.3–308.5
20221.10.1–3.4294.8277.2–311.9
20230.90.1–3.9296.1281.9–310.2
20240.90.1–3.4291.7275.5–307.8
20251.60–4294276.7–306.3
20261.40.2–4.4296278–309.3
20271.10.1–3.6295.8276.3–311.1
20281.30.3–4.3297279.3–315.1
20291.50.2–5.5300.3278.7–315
20301.20.1–4.2297.7280.2–312.5
20311.30.2–4.1300.8282.8–317.1
20321.50.2–4.9297.2280.9–311.4
20331.60.1–5300281.9–315.8
203420.1–5.8300.8279–318.4
20351.90.3–5.3298.6281.5–317.8
20362.30.4–7300.4279.9–316.9
20372.20.3–6.6299.8280–315.1
20381.90.3–7.1304.8286.6–319.3
20392.80.3–6.4300.9281.9–317
20402.40.7–5.8301.6284.5–315.7
20412.40.5–5.5303.1285.1–318.8
20422.50.4–6.8303.8290–318.3
20432.70.4–6.2302285.8–317.9
20442.30.6–7.4304.3286.3–318.8
20452.70.4–6.5307.1287.7–324.2
20462.90.4–8.7305.9285.2–321
20473.80.3–8.2306.6289.5–321.5
20483.20.3–10.2309.4288.9–325.7
20493.50.2–7.6308.1287.2–324.1
20502.81–7307.5291–321.5
20512.40.4–8.2312.8294.8–326
20523.60.5–7.5310.9291.2–323.4
20532.30.6–6.3308.3289.5–323.3
20542.70.8–7308.8292.8–322.3
20553.20.5–9.2308.6290.6–325.1
20563.61–8.8311.3294.9–326.3
20573.30.8–7.5308.5286.7–326.4
205850.3–10.8308291.1–325.1
20594.40.6–11.5312.7295.8–325.3
20603.91.1–10313.1294.6–328.6
20614.51.4–9.4314.4289.5–331.1
20623.90.9–9.2311.4293.4–330.3
20635.41.4–11.3314.8296.9–327.3
20644.70.9–9.9312.5295.4–330
206551.3–10.6309.6293.1–329.3
20664.91.2–11.6312.1292.6–328
20675.91.3–13.5311.2289.6–329.4
20684.71.6–9.3310.8292.4–330.6
20695.11.3–10.1315.5296.1–329.5
20704.41.2–11.6314.2292.9–330.7
20714.80.5–12.5313.8296.4–330.8
20725.81.9–10.2314.8296–329.6
20735.31.4–10.5316.5299.9–332.1
20744.51–11.8317.2295–333.8
20755.61.5–13.6317.2295.3–331.4
20766.20.9–14.6317.4299.8–335
20774.51.4–12.9317.5297.3–335.9
20785.61–15315.9297.1–331.6
20796.80.8–17.4318.5300.5–332.3
20806.31.8–13.3319.8297.4–337.5
20815.71.6–12.9317.7299.5–334.9
208272.2–16.2317.9294.8–333
20835.31.5–12.9315297.8–332.9
20846.11.3–11.5316295.5–330
20856.41.9–13.3322.6300.8–334.7
20866.41.7–15.1319.4295.2–335.2
20877.21.4–15.3320.2302.2–334.7
208872.3–15321.4299.8–334.8
20896.51.8–19318.9296.4–338.1
20906.11.9–17.7317.6304–337.4
20917.91.9–16.7320.1299.8–336.1
20926.91.4–14.4316.3298–336.4
20935.61.4–13.6316.1297.7–333.7
20948.51.8–15.3323.4301.8–337.3
20957.21.2–16322.9302.4–338.9
20966.51–15.2319.6302.8–336.7
20975.41.1–15319.8299.1–336
20987.62.1–15.1320.5303.9–336
20997.51.3–17.6319.9303.1–334.4
21006.72.5–16.1320.8301.1–336.7

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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