Austria vs India

Austria vs India: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 214.7 nights, or 260 times that in Austria.

nights a year · CMIP6

Austria vs India: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 214.7 nights, or 260 times that in Austria.
AustriaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaIndia
20140.8215.5
20130.4216
20120.5217.4
20110.6215.5
20100.5215.2
20090.3213.7
20080.3213.7
20070.2213.3
20060.4212.5
20050.4212.9
20040.4214.9
20030.3212.1
20020.2213
20010.3212.2
20000.3210.8
19990.3211.9
19980.1210.3
19970.1209.5
19960.2207
19950.2208.8
19940.1207.1
19930206
19920203.5
19910.2208
19900.2209.9
19890.2208
19880.1207.3
19870.1207.2
19860.1207.2
19850.1205.9
19840206.7
19830.1203.3
19820205.7
19810208.4
19800.1205.3
19790205.5
19780.1204.1
19770205.9
19760.1204.6
19750.1202.6
19740.1205.3
19730205.6
19720.1203.8
19710203.6
19700202.6
19690.1203.6
19680201.7
19670.1201.6
19660203.9
19650202.4
19640.1201.2
19630.1201.8
19620203.8
19610.1206.3
19600206
19590.2206.1
19580204
19570206.5
19560.1204
19550.1203.2
19540206
19530.1204
19520.1204.4
19510204.3
19500.1206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaIndia
20150.60.1–2216.9202.1–228.4
20160.70.1–2.6215202.5–227.6
20170.90.1–3.4216.2202.1–228.5
20180.80.2–3.2218.3204.5–231.4
20190.90.2–2.9217.4202.3–230.4
20201.30.2–3.4217.6203.1–232
20210.70.1–3.1219.7204.5–233.2
20221.10.1–3.4220.5205.8–233
20230.90.1–3.9220.4206.4–233.7
20240.90.1–3.4222.6208.1–236.3
20251.60–4219.7202.7–236.2
20261.40.2–4.4220.2204.2–236.8
20271.10.1–3.6223.6207.1–239
20281.30.3–4.3222.1205.1–235.7
20291.50.2–5.5225.4210–240.3
20301.20.1–4.2222.7207.3–235.6
20311.30.2–4.1223.8207.1–237.8
20321.50.2–4.9225.9210–240.5
20331.60.1–5223.8209.3–235.4
203420.1–5.8225.8210–242.7
20351.90.3–5.3224.9210.6–240.9
20362.30.4–7224.2210.4–240.3
20372.20.3–6.6228.3213.6–242.6
20381.90.3–7.1228.1212.6–241.4
20392.80.3–6.4227.4211.9–242.8
20402.40.7–5.8227212.2–242
20412.40.5–5.5227.1210.7–240.5
20422.50.4–6.8229.1214.8–244.2
20432.70.4–6.2228.9214.5–244
20442.30.6–7.4229.7214.7–244.2
20452.70.4–6.5231.2216.6–246.1
20462.90.4–8.7232.6216.2–248.6
20473.80.3–8.2232.4215.5–250
20483.20.3–10.2235.6218.5–254.3
20493.50.2–7.6235.3218.3–249.9
20502.81–7233.5216.6–253.4
20512.40.4–8.2234.9218.6–249.9
20523.60.5–7.5234219.4–249.3
20532.30.6–6.3234.9219.5–252.5
20542.70.8–7237.2219.4–253.1
20553.20.5–9.2237.2220.7–256.6
20563.61–8.8238.8221.2–254.9
20573.30.8–7.5235.7218.5–253.8
205850.3–10.8238.8222.8–254.1
20594.40.6–11.5241.1224.9–256.2
20603.91.1–10240.9225.6–255.6
20614.51.4–9.4237.9220.6–253.7
20623.90.9–9.2239.9221.2–259.7
20635.41.4–11.3239.9222.3–256.1
20644.70.9–9.9240223.8–256.3
206551.3–10.6240.9222.9–257.3
20664.91.2–11.6241.5224.1–258.6
20675.91.3–13.5241.6224.8–257.9
20684.71.6–9.3242.3224.6–262.1
20695.11.3–10.1242.8225.4–259.1
20704.41.2–11.6240.1225.3–257.1
20714.80.5–12.5241.8223.7–260.2
20725.81.9–10.2242.6225.4–259.2
20735.31.4–10.5243.8228–259.3
20744.51–11.8241.6226.9–258.4
20755.61.5–13.6243.5226.4–258.2
20766.20.9–14.6243.2224.6–259.9
20774.51.4–12.9243.7226.6–264.6
20785.61–15246.7230.1–261.5
20796.80.8–17.4244.9226.4–261.3
20806.31.8–13.3246.7227–263.7
20815.71.6–12.9247.5230.4–264.8
208272.2–16.2244.6227.9–262.3
20835.31.5–12.9247.5227.8–265.1
20846.11.3–11.5247.3228.3–266.8
20856.41.9–13.3246.5227.5–267.1
20866.41.7–15.1245.6227.7–266.5
20877.21.4–15.3245.5226.7–266.2
208872.3–15247229.4–266.9
20896.51.8–19248.1230–266.3
20906.11.9–17.7249228.9–266.4
20917.91.9–16.7248.9230–266.5
20926.91.4–14.4249.8232.3–267.8
20935.61.4–13.6248.1229–266.5
20948.51.8–15.3249.1230.6–268.4
20957.21.2–16251233.2–270
20966.51–15.2247.8231.4–269.3
20975.41.1–15251.1231.4–268
20987.62.1–15.1252.3230.8–268.3
20997.51.3–17.6248.7230.1–268.3
21006.72.5–16.1250.4232.9–266.7

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

Austria vs India

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment