Lithuania vs Russia

Lithuania vs Russia: Tropical nights

Tropical nights in 2014: 0 nights in Lithuania and 1.4 nights in Russia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Russia, by 1.3 nights, or 46 times that in Lithuania.

Watch it change on the map

nights a year · CMIP6

Lithuania vs Russia: Tropical nightsTropical nights in 2014: 0 nights in Lithuania and 1.4 nights in Russia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Russia, by 1.3 nights, or 46 times that in Lithuania.
LithuaniaRussiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Russia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Lithuania at 3.2 nights and Russia at 5.9 nights in 2100.

Every year

nights a year · CMIP6

YearLithuaniaRussia
201401.4
201301.2
201201.1
201101.1
201001.2
200901
200801.1
200701
200601.1
200501.2
200401
200301
200200.9
200101
200000.9
199900.8
199800.8
199700.9
199600.7
199500.7
199400.6
199300.5
199200.4
199100.6
199000.6
198900.6
198800.5
198700.6
198600.6
198500.6
198400.4
198300.3
198200.5
198100.5
198000.5
197900.5
197800.5
197700.5
197600.5
197500.4
197400.5
197300.5
197200.4
197100.5
197000.4
196900.4
196800.6
196700.5
196600.4
196500.5
196400.4
196300.5
196200.4
196100.5
196000.5
195900.5
195800.5
195700.5
195600.5
195500.5
195400.5
195300.6
195200.5
195100.5
195000.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLithuaniaRussia
201500–1.51.60.6–3.9
20160.40–3.31.30.6–3.5
201700–1.51.40.5–3.6
201800–1.81.70.6–4.1
20190.10–21.50.7–3.9
202000–2.11.50.7–3.6
202100–1.61.40.6–3.6
20220.20–3.81.80.6–4.4
20230.10–3.31.80.6–4.5
20240.10–1.31.70.7–4.1
20250.30–7.520.7–5.2
20260.20–4.61.70.7–4.4
20270.10–1.91.90.8–4.7
20280.30–2.91.70.8–4.4
20290.60–4.220.9–5.3
20300.20–31.80.6–4.8
20310.10–2.42.11–5.1
20320.60–62.20.9–5.8
20330.70–3.92.11.1–5.4
20340.40–3.71.90.8–4.9
20350.40–3.12.21–5.8
20360.60–3.72.41.1–5.9
20370.90–7.52.31–6.1
20380.20–5.92.51.1–5.8
20391.10–6.32.71.2–6.8
20400.80–4.32.50.9–5.8
20410.50–4.62.61.1–6.6
20420.70–6.32.61–6.8
204310–5.82.81.4–7
20440.90–6.32.81–7.5
20450.80–4.62.61.1–7.1
204610–6.42.81.1–7.5
20472.40–6.82.91.1–8.3
20482.10–8.93.41.1–7.9
20491.30–6.83.21.4–8
205010–7.53.51.3–8.2
20511.10–7.23.41.3–8.9
20521.50–7.131.2–8.1
20531.60–5.53.11.3–7.5
20540.80–4.23.21.1–7.7
20550.70–7.13.31.2–9
20561.30–4.83.51.3–8.8
20571.50–73.71.5–9.1
20582.30.1–83.61.5–10.2
20591.90.1–93.81.5–9.3
20601.50–6.83.41.4–8.9
20612.80.1–9.73.91.5–9.3
20621.10–7.63.71.4–10.1
20631.70–12.14.11.4–10.3
20641.80–6.73.61.2–10.1
20652.10–11.84.21.4–10.4
20663.40–9.941.4–10.5
20671.70–6.53.91.3–9.9
20680.90–12.84.21.4–10.3
20692.80.1–10.54.61.7–11.6
20702.40–9.93.81.3–11.8
20712.50.1–13.441.4–11.5
20722.80–104.51.8–10.9
20733.40.1–10.84.61.5–11.7
207420.2–10.34.41.7–11.7
20752.30–12.14.31.6–11.3
20762.20.1–10.74.91.8–12
20771.80–12.64.81.9–10.9
207830.1–10.64.92.1–12
20793.60–18.35.42–12.7
208030–10.64.91.8–12.5
20813.30.1–15.95.12.1–12.5
20822.70–19.351.9–13.9
20833.20–13.55.42.2–13.2
20842.70–10.45.42–12.2
20853.50–11.85.21.7–13.3
20864.40–15.45.31.8–14.1
208740–21.35.31.9–13.6
20883.90–13.95.51.9–13.6
20892.80–15.65.22.2–12.5
20903.30–13.45.42–12
20915.40.1–16.45.91.9–15.4
20924.90.6–17.15.92–13.2
20933.70.1–17.25.61.8–14
20944.30.1–11.96.12.2–15.1
209550.3–13.65.62.1–14.7
20963.50.1–10.66.22.2–14.9
20974.30–12.36.21.9–14.7
209850.1–11.86.12.1–14.3
209920–9.85.61.8–14.7
21003.20.1–9.95.92.2–14.8

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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