Poland vs Netherlands

Poland vs Netherlands: Tropical nights

Tropical nights in 2014: 0.4 nights in Poland and 0.4 nights in Netherlands, in the CMIP6 climate models’ median run. In 2014 the value was higher in Poland, by 0 nights, or 1.05 times that in Netherlands.

nights a year · CMIP6

Poland vs Netherlands: Tropical nightsTropical nights in 2014: 0.4 nights in Poland and 0.4 nights in Netherlands, in the CMIP6 climate models’ median run. In 2014 the value was higher in Poland, by 0 nights, or 1.05 times that in Netherlands.
PolandNetherlandsCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Poland has been higher since 2014, when it overtook Netherlands.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Poland at 7.9 nights and Netherlands at 6.3 nights in 2100.

Every year

nights a year · CMIP6

YearPolandNetherlands
20140.40.4
20130.20.5
20120.20.5
20110.20.2
20100.40.5
20090.20.3
20080.10.1
20070.10.1
20060.20.1
20050.20.3
20040.40.4
20030.10.4
200200.1
20010.20.2
20000.10.1
19990.10.2
199800
199700
19960.10.1
19950.10
199400
199300
199200
199100
199000
198900
198800
198700
198600
198500
198400
198300
198200
198100
198000
197900
19780.10
197700
197600
197500
197400.1
197300
197200
197100
197000
196900
196800
196700
196600
196500
196400
196300
196200
196100
196000
195900
195800
195700
195600
195500
195400.1
195300
195200
195100
195000
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPolandNetherlands
20150.40–3.30.30–3.2
20160.60–4.20.40–3.7
20170.70–3.40.20–3.6
20180.40–3.80.30–2.8
20190.60–3.50.50–2.8
20200.90–4.50.50–4.5
20210.60–4.40.40–3.9
202210–5.410–4.8
20230.80–5.20.70–3.3
20240.90–4.70.70–4.6
20251.20–8.41.30–5.4
20261.20–6.210.1–5.3
20271.10–4.10.70–3.3
20281.20–50.80–5.4
20291.40–7.70.80–4.6
203010–5.90.90–4.2
20310.70–4.80.70–3.7
20321.20–8.40.60–5.2
20331.40–60.80–4
20341.70–6.81.20–7.7
20351.40–6.71.20.1–6.1
20362.40–8.91.40–6.5
203720–8.41.20–6.1
20381.40–8.410–7.1
20393.30–9.40.80–4.8
20402.20–6.70.80–5.5
20412.10.1–7.61.30.1–5.9
20422.40.1–8.61.20–6.2
20432.70–9.91.90–5.6
20443.30.1–10.71.30.1–6.9
20452.40–7.81.80–6.6
20462.80.2–11.41.30.1–6.7
20474.30.2–11.62.70.2–8.4
20484.20.1–13.22.10–9.3
20494.40–112.10.1–9.7
20502.70.1–11.22.10.1–7.4
20512.10–11.61.50.1–7.3
205230.3–10.91.60–9.5
20532.70–8.21.40–7.2
20542.70.2–8.71.70.1–8
20552.40.1–12.21.20–6.4
20563.50.2–11.82.70.1–8.1
20573.20.3–13.12.10.1–7.6
20584.40.3–13.83.30.4–10.6
20593.40.2–15.220–9
20603.90.2–10.82.20.1–9
20615.40.6–12.42.20.3–9.1
20623.30.4–14.53.70.7–11.1
20634.90.3–15.72.20.1–9.2
20644.60.4–12.51.80.3–7
20655.30.4–16.12.60.1–11.9
20665.60.7–141.90.1–8.4
20674.10.2–13.65.50.4–11.9
20683.80.2–13.61.40.1–6.7
20695.50.5–16.83.60.2–11.5
20704.50.2–17.22.90.2–9.7
20713.80.3–1630.2–10.7
207251.1–12.630.6–8.1
20735.31.3–17.12.80.1–12.9
20744.50.8–17.13.20.2–11.2
20756.20.4–18.63.30.4–13.5
207650.5–19.13.60.3–14.7
20774.60.3–18.13.10.1–10.9
20786.81–18.14.60–15.5
20796.80.5–25.32.40.2–11.4
20806.31.5–15.62.80.3–11.5
20815.51–20.54.40.1–12.2
20827.70.8–26.53.50.3–17.3
208360.4–17.43.20.6–13
20846.20.5–16.82.90.2–11.9
20856.40.7–19.13.60.3–12
20867.70.6–24.64.80.3–17.9
20877.60.7–25.85.40.1–19.3
20887.11.6–20.55.11.2–14.1
20897.20.5–21.94.41.1–10.5
20905.40.5–25.23.10–12.3
209110.30.6–23.75.30.3–14.8
20929.21.5–205.60.3–14.6
20936.20.6–20.83.20.3–14.1
20949.20.8–18.44.51–16.8
209591.3–20.55.70.5–14
20966.80.9–17.54.90.2–17.4
20976.40.3–19.62.80.2–16.9
20988.41.8–20.15.20.6–13.3
20996.10.8–17.63.20.4–18.7
21007.91.2–18.16.30.4–14.9

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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