Belarus vs Latvia

Belarus vs Latvia: Tropical nights

Tropical nights in 2014: 0.2 nights in Belarus and 0.1 nights in Latvia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Belarus, by 0.2 nights, or 3.67 times that in Latvia.

Watch it change on the map

nights a year · CMIP6

Belarus vs Latvia: Tropical nightsTropical nights in 2014: 0.2 nights in Belarus and 0.1 nights in Latvia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Belarus, by 0.2 nights, or 3.67 times that in Latvia.
BelarusLatviaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Belarus has been higher since 2014, when it overtook Latvia.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Belarus at 5.7 nights and Latvia at 2.4 nights in 2100.

Every year

nights a year · CMIP6

YearBelarusLatvia
20140.20.1
201300.1
20120.10.1
201100
20100.10.1
200900
20080.10
200700
200600
20050.10.1
200400
200300
200200
200100
200000
199900
199800
199700
199600
199500
199400
199300
199200
199100
199000
198900
198800
198700
198600
198500
198400
198300
198200
198100
198000
197900
197800
197700
197600
197500
197400
197300
197200
197100
197000
196900
196800
196700
196600
196500
196400
196300
196200
196100
196000
195900
195800
195700
195600
195500
195400
195300
195200
195100
195000
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelarusLatvia
20150.20–2.70.10–1.1
20160.60–4.50.10–2.1
20170.20–2.20.10–0.8
20180.40–2.90.10–1.3
20190.10–2.50.10–1.5
20200.30–2.60.10–1.1
20210.20–2.80.10–1.3
20220.50–5.30.10–2.4
20230.70–5.30.10–3.1
20240.30–3.40.10–0.7
20250.80–8.70.20–6.2
20260.50–4.70.20–4.2
20270.40–30.10–1.2
20280.40–4.60.10–2.8
20290.90–4.90.20–4
20300.40–3.50.20–2.2
20310.40–4.60.10–2.5
20321.20–7.60.50–4.7
20330.90–5.70.20–4.2
20340.60–5.50.20–2.6
20350.90–5.80.50–2.4
20360.90–5.40.40–3.3
20371.80–7.30.60–5.2
20380.70–7.40.10–4.7
20392.10.1–8.50.70–4
20401.40–5.40.30–2.7
20411.60–8.50.20–5.4
204210–8.20.40–6
204320–10.80.60–4.5
20442.20–9.80.40–5.9
204520–9.20.50–3.3
20461.80.1–8.10.50–4.9
20472.90–12.31.80–6.1
20482.20–12.61.30.1–7.2
20492.70–11.60.70–5.3
20502.70.1–12.30.80–8.3
20512.50–9.60.70–6.2
20521.90.2–7.70.90–5.7
20531.50–6.51.20–5
20542.30–6.60.60–3.5
20551.70–12.10.60–6.1
20562.50.2–8.40.80.1–5.6
20572.60.1–101.20–5.5
20583.80.2–14.51.60.1–7.1
20592.70.1–131.80.1–7.3
20602.40–10.90.80–6.5
20613.80–13.51.40–7.8
20622.30.1–10.910–5.3
20633.40.1–15.71.10–11
20643.50.1–10.71.20–6.3
20654.40.3–13.51.20.1–8.9
20664.60.1–15.42.30.1–9.2
20672.70–9.610–4.5
20682.50–18.10.60–9.8
20694.30.3–16.72.30.1–8.1
20704.50–19.41.50–9
20713.40.3–16.81.90–11.2
20724.70.7–13.32.20.1–8.2
20734.70.4–15.92.30.1–9.8
20744.20.7–14.31.50.1–8.9
20754.10–17.11.60–9.6
20764.60.4–14.71.70–8.5
20773.70.2–15.41.60–10.1
20785.40.6–15.72.20.1–8.4
20796.10–25.62.70.1–15.8
208050.6–16.91.90–9.3
20815.70.9–20.12.50.1–14.5
20825.80.2–27.92.10–18.4
20835.30.1–14.82.50.1–12.1
208460.5–15.42.50.1–7.7
20855.30.1–15.12.50–11.3
208650.5–26.83.50.1–10.4
20876.20.7–22.23.40–21.1
20886.40.8–18.530.1–11.6
20893.20.1–19.12.10.1–13.1
20905.40.3–21.82.80.1–10.7
20919.90.1–23.64.20–14.7
20927.81.1–18.93.80.2–15.5
20936.20.5–243.50.1–16.1
20946.40.1–16.82.70.1–8.8
209571.4–18.93.30.2–12.3
20966.40.7–16.12.80.1–11.9
20975.50.1–19.22.90.1–12.1
20987.41.1–16.33.40.1–10.3
20994.50.4–16.41.60–9
21005.70.6–14.72.40.1–8.7

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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