Czechia vs Tajikistan

Czechia vs Tajikistan: Tropical nights

Tropical nights in 2014: 0.3 nights in Czechia and 12.1 nights in Tajikistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tajikistan, by 11.8 nights, or 39 times that in Czechia.

nights a year · CMIP6

Czechia vs Tajikistan: Tropical nightsTropical nights in 2014: 0.3 nights in Czechia and 12.1 nights in Tajikistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tajikistan, by 11.8 nights, or 39 times that in Czechia.
CzechiaTajikistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tajikistan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Czechia at 7.2 nights and Tajikistan at 21.8 nights in 2100.

Every year

nights a year · CMIP6

YearCzechiaTajikistan
20140.312.1
20130.112.2
20120.111.7
20110.311.6
20100.211
20090.111.7
20080.111.1
2007011.4
20060.111.3
20050.211
20040.210.9
20030.111
2002011.5
20010.110.8
20000.110.7
19990.110.8
1998010.4
1997010.3
19960.110.2
199509.9
199409.8
199308.9
199208.8
199109.6
19900.110.1
1989010.1
198809.3
198709.5
198608.9
198509
198408.6
198307.9
198209.2
198109.4
198009
197909.1
197808.9
197708.4
197608.4
197508.7
197408.4
197308.5
197209
197108.4
197008.3
196908.6
196808
196708.6
196608.3
196508.3
196408.5
196308.6
196208.7
196108.8
196008.8
19590.18.7
195809.6
195709
195609
195508.6
195409
195308.4
195209
195108.6
195009
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCzechiaTajikistan
20150.20–2.313.210–15.9
20160.30–2.812.910.5–16
20170.30–3.313.210.7–16
20180.50.1–2.912.99.7–16.3
20190.50–2.613.310.4–16.5
20200.60–3.613.410.9–17
20210.40–3.113.910.7–17.4
20220.60–3.614.110.9–17.6
20230.30–4.114.411.3–17
20240.50–3.414.510.6–17.8
20250.80–4.714.911.7–18.3
20260.70–4.41410.7–18
20270.70–3.514.411.4–18.2
20280.60.1–4.314.811.6–18.6
202910–5.414.110.9–18
20300.70–4.614.911.8–17.9
20310.80–4.515.412.3–18.6
20320.90–5.815.312.1–19.1
20330.70–4.515.311.6–19.4
20341.20–6.815.211.4–19.5
20351.20.1–4.216.112–19.5
20361.80.1–7.415.512.4–19.6
20371.50.1–6.615.912.6–19.2
203810–7.716.112.9–19.6
20392.90.1–8.115.612.2–19.1
204020.2–716.212.5–20.4
20411.70.1–5.816.612.7–20.2
20421.70.1–7.316.512.6–20.2
20432.10.1–7.915.812.1–20.7
20441.90.2–9.216.613.6–20.7
20452.20.1–7.216.812.9–20.4
20462.40.3–10.21712.8–21.9
20472.90–8.61713.2–21.7
20483.30.1–12.716.813.7–21.1
20493.50–9.216.913.7–21.4
20502.20.2–7.917.614–22.1
20511.90–9.317.513.7–22.9
20522.50.1–9.417.413.9–22.1
20531.80.2–6.117.814.4–21.5
205420.2–8.417.914.3–22.4
20552.70.2–1118.214.6–22.5
20563.20.3–13.318.514.2–22.9
20573.30.2–1018.914.2–23.2
20584.10.1–1318.314.3–23.5
20593.90.1–15.118.114.5–23.3
20603.30.4–12.318.714.3–23.3
20614.20.9–11.418.514.1–22.4
20623.20.4–11.31914.9–24.2
20634.70.7–13.61914.8–23.3
206440.4–11.618.713.9–23.5
206550.3–12.919.515.3–24.9
20665.40.6–11.819.515.9–23.6
20675.30.4–15.319.915.5–25
20683.70.5–10.319.815.8–24.2
20694.70.4–1319.716–24.2
20703.90.2–14.619.516–25.2
20713.50.3–14.719.516–25.1
20725.11.3–11.919.315.4–25.5
207350.8–13.819.915.8–25.6
20743.90.3–1520.116.7–25.4
20755.40.6–16.819.516–25.6
207660.4–18.620.114.4–25.3
20774.60.9–15.620.615.5–27
20786.60.5–17.72015.3–27.2
20796.80.2–24.819.414.9–25.5
20806.71.4–15.820.315.3–26.6
20815.30.7–18.219.815.7–25.8
20827.51.2–23.720.716.3–26.1
20835.60.5–14.720.916.3–26.4
20845.40.5–14.120.615.4–26.5
20856.30.5–15.820.515.9–27.5
20866.10.6–18.820.715.6–26.8
20878.60.8–20.420.917.3–25.8
20886.11.3–18.121.115.5–26.9
20896.90.8–22.621.216.7–26.7
20905.10.9–24.82115.6–26.7
20916.70.8–21.62216.7–27.4
20927.21–17.821.416.7–26.6
20935.30.4–1721.716.9–26.7
20949.90.9–17.121.817–28
20958.10.4–19.421.916.8–27.4
20965.90.3–15.922.417.9–27.9
20974.90.3–18.421.817.2–27.4
209881.2–19.422.317–28.6
20997.50.5–22.222.217.1–27.3
21007.21.6–19.421.816.3–28.6

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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