Austria vs Philippines

Austria vs Philippines: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 330.7 nights, or 390 times that in Austria.

nights a year · CMIP6

Austria vs Philippines: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 330.7 nights, or 390 times that in Austria.
AustriaPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaPhilippines
20140.8331.5
20130.4330.9
20120.5331.1
20110.6329.8
20100.5330.6
20090.3329
20080.3327.5
20070.2327.8
20060.4328.7
20050.4329.7
20040.4329.4
20030.3327.1
20020.2328.9
20010.3327.8
20000.3326.8
19990.3327.5
19980.1326.5
19970.1325.4
19960.2324.6
19950.2324.2
19940.1321.5
19930319.5
19920318.4
19910.2324.1
19900.2323.5
19890.2322.5
19880.1324
19870.1323.1
19860.1322.1
19850.1321.4
19840321.7
19830.1319.4
19820320.5
19810320.4
19800.1322.7
19790321.2
19780.1320.6
19770319.8
19760.1319.6
19750.1319.6
19740.1320
19730319.4
19720.1318.9
19710318.8
19700319
19690.1318.7
19680317.2
19670.1317.4
19660318.8
19650317.2
19640.1314.9
19630.1317.2
19620318.6
19610.1319.3
19600318.6
19590.2320.5
19580321.8
19570319.4
19560.1320
19550.1319.3
19540317.7
19530.1320
19520.1319
19510319.8
19500.1320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaPhilippines
20150.60.1–2333319.8–339.5
20160.70.1–2.6334.2322.8–340.7
20170.90.1–3.4333.4319.7–339.8
20180.80.2–3.2333.2320.1–340.1
20190.90.2–2.9334.1323.4–341.2
20201.30.2–3.4334.6322.6–341.8
20210.70.1–3.1335.6323.3–341.1
20221.10.1–3.4335.7323.3–342.1
20230.90.1–3.9336.7324.8–343.2
20240.90.1–3.4337.2325.7–343.9
20251.60–4336.3326.2–342.8
20261.40.2–4.4336.5322.9–343
20271.10.1–3.6336.2325.7–342.3
20281.30.3–4.3337.1325.5–343.8
20291.50.2–5.5338.1327.2–344.6
20301.20.1–4.2337.7326.2–344.4
20311.30.2–4.1337.1325.6–343.8
20321.50.2–4.9339.4329.5–346.1
20331.60.1–5339.7329.6–345.5
203420.1–5.8338.8328.8–345
20351.90.3–5.3338.6327.5–346.4
20362.30.4–7339.6327.8–346.9
20372.20.3–6.6339.8329.1–345.5
20381.90.3–7.1341.9330.7–347.7
20392.80.3–6.4341.2330.4–346.9
20402.40.7–5.8340.4328.1–347.6
20412.40.5–5.5341.1329.1–346.7
20422.50.4–6.8342331.4–347.7
20432.70.4–6.2341.3329–348.1
20442.30.6–7.4342.8329.9–349.8
20452.70.4–6.5343.4333.8–348.7
20462.90.4–8.7342.7330.2–348.7
20473.80.3–8.2343.2331.7–350.6
20483.20.3–10.2343.3332.7–350.6
20493.50.2–7.6343.2332.5–349.5
20502.81–7344.3332.6–349.9
20512.40.4–8.2344.4334.9–350.8
20523.60.5–7.5344.1333.5–350.9
20532.30.6–6.3344.3333.6–350.3
20542.70.8–7343.4332–349.9
20553.20.5–9.2344.3334.4–350.5
20563.61–8.8345334.6–352.6
20573.30.8–7.5345.5335.1–351.5
205850.3–10.8345.8334.3–351.3
20594.40.6–11.5345.5333.7–351.6
20603.91.1–10346.8335.5–353.5
20614.51.4–9.4345.9335–351.8
20623.90.9–9.2346335.2–353.5
20635.41.4–11.3346.6336.2–352.8
20644.70.9–9.9346.9335.3–353
206551.3–10.6346.1335.9–351.9
20664.91.2–11.6346.5335.4–352.4
20675.91.3–13.5346.1335.4–352
20684.71.6–9.3347.1335.1–354.1
20695.11.3–10.1347333.8–353.6
20704.41.2–11.6346.7336.1–352.7
20714.80.5–12.5347.6336.2–353.9
20725.81.9–10.2347334.4–353.8
20735.31.4–10.5348.4336.7–355
20744.51–11.8348.6337–354.9
20755.61.5–13.6347.9337.2–354
20766.20.9–14.6348.4337–355.1
20774.51.4–12.9348.7337–354.8
20785.61–15348.4338.2–354.7
20796.80.8–17.4348.8337.6–354.7
20806.31.8–13.3349.1338.4–355.9
20815.71.6–12.9348.8336.9–355.1
208272.2–16.2349.6338–354.9
20835.31.5–12.9349.9337.9–356.1
20846.11.3–11.5349.5336.7–356.4
20856.41.9–13.3349.1338.2–355.4
20866.41.7–15.1349.4337.5–354.9
20877.21.4–15.3349.7338.7–356
208872.3–15349.9338.9–356.1
20896.51.8–19350.2339.8–355.2
20906.11.9–17.7350.1339.7–355.9
20917.91.9–16.7349.5339.5–356.3
20926.91.4–14.4350.5339.3–356.1
20935.61.4–13.6350.4337.9–356.5
20948.51.8–15.3350.5338.4–355.9
20957.21.2–16350.5338.3–355.7
20966.51–15.2351.1339–358
20975.41.1–15350.2339.3–355.6
20987.62.1–15.1350.3337.4–355.2
20997.51.3–17.6350.6339.3–356.4
21006.72.5–16.1351.3340.2–356.3

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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