Belarus vs Ukraine

Belarus vs Ukraine: Tropical nights

Tropical nights in 2014: 0.2 nights in Belarus and 8.2 nights in Ukraine, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ukraine, by 8 nights, or 37 times that in Belarus.

nights a year · CMIP6

Belarus vs Ukraine: Tropical nightsTropical nights in 2014: 0.2 nights in Belarus and 8.2 nights in Ukraine, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ukraine, by 8 nights, or 37 times that in Belarus.
BelarusUkraineCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ukraine has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Belarus at 5.7 nights and Ukraine at 28.6 nights in 2100.

Every year

nights a year · CMIP6

YearBelarusUkraine
20140.28.2
201306.6
20120.16
201106.5
20100.17.1
200906.3
20080.15.9
200705.7
200606.3
20050.16.6
200405
200305.9
200205
200104.5
200005.2
199903.8
199803.6
199703.6
199603.7
199503.2
199402.8
199302.5
199201.3
199102.5
199002.3
198902.5
198801.6
198702.5
198603.5
198502.7
198402.2
198301.3
198202.1
198101.8
198001.8
197902
197802
197701.4
197602
197501.6
197402.3
197301.7
197201.4
197102.3
197001.7
196902
196802.5
196701.7
196601.8
196502
196401.6
196302.1
196201.8
196102.1
196002.3
195902.7
195802.4
195702.2
195602.4
195502.3
195402.1
195302.7
195202.3
195102.2
195002.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelarusUkraine
20150.20–2.77.82.8–18.1
20160.60–4.59.72.5–19.2
20170.20–2.27.93–18.7
20180.40–2.910.33.7–18.6
20190.10–2.59.33.1–17.1
20200.30–2.610.94.2–20.2
20210.20–2.893–19.1
20220.50–5.310.63.4–21.5
20230.70–5.311.93.2–23.6
20240.30–3.4113.9–18.9
20250.80–8.711.83.5–26.6
20260.50–4.710.73.8–20.7
20270.40–310.72.8–19.5
20280.40–4.610.73.6–20.6
20290.90–4.913.56.1–23.8
20300.40–3.59.73–19.2
20310.40–4.612.65.8–23.9
20321.20–7.614.44.8–27.8
20330.90–5.712.86.4–26.2
20340.60–5.5124.8–25.8
20350.90–5.812.15.5–25.7
20360.90–5.415.18–27.7
20371.80–7.315.85.4–25
20380.70–7.416.26.6–29.6
20392.10.1–8.517.27.2–33.2
20401.40–5.415.76.7–26.2
20411.60–8.516.76.8–31.7
204210–8.215.36.1–28.4
204320–10.817.39–32.4
20442.20–9.818.17.1–34
204520–9.217.15.6–33.9
20461.80.1–8.119.26–35.1
20472.90–12.318.38–34.3
20482.20–12.622.26.1–36.6
20492.70–11.619.56.6–34.9
20502.70.1–12.320.27.6–36.7
20512.50–9.618.68.7–33.3
20521.90.2–7.717.47.8–31.1
20531.50–6.517.59.3–27.7
20542.30–6.619.67.5–29.4
20551.70–12.118.96.7–35.8
20562.50.2–8.418.19–33.5
20572.60.1–1023.39.4–38.3
20583.80.2–14.5229–44.5
20592.70.1–1320.38.2–36.8
20602.40–10.918.68.6–33.8
20613.80–13.5249.1–41.5
20622.30.1–10.922.49.9–39.1
20633.40.1–15.724.89.7–39.5
20643.50.1–10.722.18.5–38
20654.40.3–13.524.59.9–38.5
20664.60.1–15.422.37.9–40.7
20672.70–9.620.99.6–36.2
20682.50–18.120.88.1–40
20694.30.3–16.725.112.1–46.5
20704.50–19.422.87.2–41.8
20713.40.3–16.821.97.3–41.9
20724.70.7–13.327.913.8–44
20734.70.4–15.923.79.2–40.8
20744.20.7–14.32311.7–40.5
20754.10–17.124.59.4–44.1
20764.60.4–14.728.510.2–45.9
20773.70.2–15.424.310.6–42
20785.40.6–15.726.513.7–44.8
20796.10–25.629.910.5–53.2
208050.6–16.928.314.7–44
20815.70.9–20.127.615.7–45.4
20825.80.2–27.92912.7–52.7
20835.30.1–14.828.311.8–46.5
208460.5–15.431.614.5–45.4
20855.30.1–15.128.98.5–45.4
208650.5–26.827.714.3–51.7
20876.20.7–22.22814.8–50.6
20886.40.8–18.529.313.7–51
20893.20.1–19.125.211.3–46.5
20905.40.3–21.82913.9–50.7
20919.90.1–23.633.210.4–50.4
20927.81.1–18.93212.8–49.5
20936.20.5–2430.911.2–54.7
20946.40.1–16.831.316.2–51.5
209571.4–18.93113.3–49
20966.40.7–16.129.614–50.4
20975.50.1–19.231.311.4–53.5
20987.41.1–16.331.713.7–49
20994.50.4–16.428.111.9–46.7
21005.70.6–14.728.614.8–45.7

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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