Estonia vs Latvia

Estonia vs Latvia: Tropical nights

Tropical nights in 2014: 0.3 nights in Estonia and 0.1 nights in Latvia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Estonia, by 0.2 nights, or 4.5 times that in Latvia.

Watch it change on the map

nights a year · CMIP6

Estonia vs Latvia: Tropical nightsTropical nights in 2014: 0.3 nights in Estonia and 0.1 nights in Latvia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Estonia, by 0.2 nights, or 4.5 times that in Latvia.
EstoniaLatviaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Estonia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Estonia at 3.4 nights and Latvia at 2.4 nights in 2100.

Every year

nights a year · CMIP6

YearEstoniaLatvia
20140.30.1
20130.30.1
20120.30.1
20110.20
20100.20.1
20090.10
20080.20
20070.10
20060.10
20050.30.1
20040.20
20030.10
20020.10
20010.20
20000.10
19990.10
199800
19970.10
19960.10
19950.10
199400
199300
199200
199100
199000
19890.10
198800
198700
198600
19850.10
19840.10
198300
198200
198100
198000
197900
19780.10
197700
197600
197500
19740.10
197300
197200
197100
197000
196900
19680.10
196700
196600
196500
196400
196300
196200
19610.10
196000
195900
195800
195700
195600
195500
195400
195300
195200
195100
195000
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEstoniaLatvia
20150.30–1.80.10–1.1
20160.40–2.10.10–2.1
20170.30–1.70.10–0.8
20180.30–2.30.10–1.3
20190.30–2.20.10–1.5
20200.30–1.80.10–1.1
20210.30–1.40.10–1.3
20220.50.1–2.30.10–2.4
20230.40–3.60.10–3.1
20240.20–1.20.10–0.7
20250.80–50.20–6.2
20260.70.1–5.90.20–4.2
20270.40–2.30.10–1.2
20280.40–3.40.10–2.8
20290.60.1–5.50.20–4
20300.50–2.90.20–2.2
20310.40–2.60.10–2.5
20320.60–5.50.50–4.7
20330.40.1–6.30.20–4.2
20340.60.1–30.20–2.6
20350.90.1–3.10.50–2.4
20360.80.1–4.40.40–3.3
20370.90.1–5.20.60–5.2
20380.70–6.20.10–4.7
20390.80.1–4.90.70–4
20400.80.1–4.30.30–2.7
20410.60.1–70.20–5.4
20420.90.1–6.80.40–6
20431.20.1–5.70.60–4.5
20440.70.1–6.50.40–5.9
20450.70–3.60.50–3.3
20460.80.1–7.40.50–4.9
20472.30.1–7.21.80–6.1
20481.80.2–8.21.30.1–7.2
20491.10.1–6.40.70–5.3
20501.50.2–8.10.80–8.3
20511.40.1–7.80.70–6.2
20521.20.1–6.70.90–5.7
20531.10.2–5.91.20–5
205410–4.30.60–3.5
20551.10–70.60–6.1
20561.30.2–7.70.80.1–5.6
20571.50.3–6.21.20–5.5
20581.90.2–9.21.60.1–7.1
20591.60.3–7.61.80.1–7.3
20601.20–6.90.80–6.5
20611.40.2–6.91.40–7.8
20621.50.3–6.310–5.3
20631.50.1–9.71.10–11
20641.40.2–7.31.20–6.3
20651.70.2–9.81.20.1–8.9
206620.2–12.52.30.1–9.2
20671.60.1–5.110–4.5
206810.1–10.30.60–9.8
20692.90.2–11.22.30.1–8.1
20701.70.2–101.50–9
20712.20.2–121.90–11.2
20721.90.2–10.42.20.1–8.2
20732.60.3–10.52.30.1–9.8
207420.3–10.71.50.1–8.9
20751.80.2–10.21.60–9.6
207620.2–9.51.70–8.5
20772.70.2–10.51.60–10.1
20782.60.3–9.22.20.1–8.4
20793.30.1–152.70.1–15.8
20802.70.1–101.90–9.3
20812.60.4–14.92.50.1–14.5
20822.60.1–19.22.10–18.4
20832.80.3–12.92.50.1–12.1
20842.70.4–102.50.1–7.7
20852.60.1–13.52.50–11.3
20864.40.2–11.43.50.1–10.4
20873.90.2–25.63.40–21.1
20883.10.3–1330.1–11.6
20892.50.3–12.52.10.1–13.1
20902.70.3–10.62.80.1–10.7
20914.80.1–14.84.20–14.7
20924.40.4–173.80.2–15.5
20934.30.2–16.33.50.1–16.1
20942.70.2–9.72.70.1–8.8
20953.30.5–14.53.30.2–12.3
20963.10.5–14.32.80.1–11.9
20973.70.3–13.42.90.1–12.1
20983.30.2–11.23.40.1–10.3
20991.90.2–111.60–9
21003.40.5–122.40.1–8.7

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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