Austria vs Vietnam

Austria vs Vietnam: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.8 nights, or 290 times that in Austria.

nights a year · CMIP6

Austria vs Vietnam: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.8 nights, or 290 times that in Austria.
AustriaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaVietnam
20140.8242.6
20130.4243.6
20120.5242.4
20110.6241.9
20100.5240.9
20090.3240
20080.3238.7
20070.2238
20060.4239.1
20050.4238.3
20040.4241.8
20030.3235.9
20020.2236.3
20010.3241.3
20000.3237
19990.3236
19980.1236.8
19970.1237.1
19960.2231.4
19950.2229.9
19940.1231.2
19930225.3
19920221.9
19910.2229.8
19900.2233.1
19890.2229.2
19880.1231.7
19870.1230.3
19860.1230.9
19850.1228
19840230.2
19830.1224.9
19820227.5
19810229.7
19800.1228.1
19790228.9
19780.1227.5
19770229
19760.1225.8
19750.1225.8
19740.1225.7
19730230.3
19720.1225.6
19710225.5
19700226.1
19690.1227
19680227.1
19670.1222.9
19660226.8
19650225.4
19640.1222.6
19630.1224.3
19620227.8
19610.1229.4
19600228.5
19590.2226.2
19580230.9
19570228.4
19560.1228.7
19550.1227.5
19540226.3
19530.1228.2
19520.1228.5
19510229.2
19500.1228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaVietnam
20150.60.1–2245.8228.2–261.9
20160.70.1–2.6243.7226.1–259.4
20170.90.1–3.4247229.6–260.7
20180.80.2–3.2248.3228.8–263.3
20190.90.2–2.9248.1229.2–262.8
20201.30.2–3.4248.8229.6–262.9
20210.70.1–3.1251.1233.1–266.7
20221.10.1–3.4252.4234.3–266.8
20230.90.1–3.9253.4235.4–266.6
20240.90.1–3.4251.3236.7–264.6
20251.60–4252.4234.1–266.2
20261.40.2–4.4252.8232.9–268.5
20271.10.1–3.6253.2237–268.8
20281.30.3–4.3254.3237.7–272
20291.50.2–5.5258.1238.5–273.7
20301.20.1–4.2256.4240.9–270.1
20311.30.2–4.1255.9241.2–270.9
20321.50.2–4.9257.4239.1–269.9
20331.60.1–5258.3241.7–273.2
203420.1–5.8258.8240.7–275.8
20351.90.3–5.3258.6242.5–275.4
20362.30.4–7258.3239.1–273.8
20372.20.3–6.6258.7242.4–272.4
20381.90.3–7.1263.4247.6–277.3
20392.80.3–6.4260.2243.7–275.9
20402.40.7–5.8260.1242.8–274.8
20412.40.5–5.5263.1245.9–279
20422.50.4–6.8263.6246.5–279
20432.70.4–6.2261.4245.5–279.6
20442.30.6–7.4263.2245.2–277.6
20452.70.4–6.5265.5249.6–281.4
20462.90.4–8.7264.9246.8–278.1
20473.80.3–8.2266.9250.4–282.9
20483.20.3–10.2268250.5–283.8
20493.50.2–7.6267.8251.2–284.8
20502.81–7268251.2–283.5
20512.40.4–8.2270.9254.3–285.4
20523.60.5–7.5268.3253.3–282.8
20532.30.6–6.3268.5250.1–283.2
20542.70.8–7269.1250.8–283.6
20553.20.5–9.2270249.8–284.2
20563.61–8.8271.7254.8–290.1
20573.30.8–7.5270253–285.7
205850.3–10.8270.7252.9–286.5
20594.40.6–11.5273257.6–286.6
20603.91.1–10275.7255.6–290.6
20614.51.4–9.4273.5254.6–289.5
20623.90.9–9.2271.4253.1–290.2
20635.41.4–11.3272.9252.7–288.1
20644.70.9–9.9273.8254.4–288.1
206551.3–10.6272255.8–286.3
20664.91.2–11.6271.8254.4–287.3
20675.91.3–13.5270.8252.1–287.6
20684.71.6–9.3275.6256.9–292.4
20695.11.3–10.1276.4258.5–292
20704.41.2–11.6274.6257.8–292.8
20714.80.5–12.5276.2255.2–294.1
20725.81.9–10.2277256.8–291.4
20735.31.4–10.5278.5262.7–293.4
20744.51–11.8277.6259.2–295.8
20755.61.5–13.6276.4258.7–294.4
20766.20.9–14.6279.2258.5–296.6
20774.51.4–12.9280264.9–294.7
20785.61–15278.4258.6–295.5
20796.80.8–17.4279.3263.4–293.6
20806.31.8–13.3280261.4–296.5
20815.71.6–12.9280.4261.2–297.9
208272.2–16.2280.9258.9–296
20835.31.5–12.9278.4261.6–295
20846.11.3–11.5279257.4–293.8
20856.41.9–13.3281.3265–297.8
20866.41.7–15.1282.3260.2–297.5
20877.21.4–15.3281.9261.3–300.7
208872.3–15283.1265.7–301.5
20896.51.8–19280.8261.2–301.6
20906.11.9–17.7280.5264.5–297.6
20917.91.9–16.7283.3264.3–298.9
20926.91.4–14.4281.1261.5–299.4
20935.61.4–13.6280.5263.4–296.1
20948.51.8–15.3283264.5–300
20957.21.2–16285.5264.5–302.9
20966.51–15.2281.8264.8–299.8
20975.41.1–15281.5263.3–299
20987.62.1–15.1282.5263.9–301.5
20997.51.3–17.6282.7265.1–298
21006.72.5–16.1282.7261–298.2

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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