Czechia vs Italy

Czechia vs Italy: Tropical nights

Tropical nights in 2014: 0.3 nights in Czechia and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Italy, by 26 nights, or 85 times that in Czechia.

nights a year · CMIP6

Czechia vs Italy: Tropical nightsTropical nights in 2014: 0.3 nights in Czechia and 26.3 nights in Italy, in the CMIP6 climate models’ median run. In 2014 the value was higher in Italy, by 26 nights, or 85 times that in Czechia.
CzechiaItalyCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Italy 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 Italy at 65.1 nights in 2100.

Every year

nights a year · CMIP6

YearCzechiaItaly
20140.326.3
20130.124.7
20120.124.8
20110.324.6
20100.227.1
20090.123.7
20080.124.1
2007021.5
20060.124.6
20050.222.5
20040.224.5
20030.123.8
2002020.6
20010.120.8
20000.121.7
19990.120.3
1998018.9
1997018.9
19960.118.9
1995017.9
1994017.4
1993016.3
1992015.1
1991018
19900.118.2
1989016.6
1988015.5
1987016
1986015
1985014.5
1984015.7
1983015.3
1982014.1
1981015.3
1980015.9
1979014.5
1978016.5
1977013.5
1976013.8
1975014
1974014.8
1973013.5
1972013.7
1971015.3
1970014
1969014.5
1968013.8
1967013.6
1966013.2
1965012.8
1964013.2
1963014.2
1962015.5
1961013.9
1960014.9
19590.116.6
1958014.4
1957015.5
1956016.7
1955016.6
1954015.7
1953015.4
1952016.6
1951016
1950015.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCzechiaItaly
20150.20–2.33021.7–40.4
20160.30–2.829.618–42.2
20170.30–3.331.820.2–43.7
20180.50.1–2.93122–44.3
20190.50–2.631.521.3–43.2
20200.60–3.631.619.7–44.3
20210.40–3.13420.8–46.9
20220.60–3.637.121.3–50.6
20230.30–4.133.121.3–47.4
20240.50–3.435.521.6–48.4
20250.80–4.737.720.5–51.1
20260.70–4.438.926.6–52.2
20270.70–3.534.322.4–49.7
20280.60.1–4.337.724.4–53.1
202910–5.437.824.9–55
20300.70–4.637.925.7–54.7
20310.80–4.537.223.8–51
20320.90–5.839.226.2–53.8
20330.70–4.540.426–50.3
20341.20–6.842.525.1–57.2
20351.20.1–4.242.728.9–58.3
20361.80.1–7.441.127.7–59.9
20371.50.1–6.64328.1–54.8
203810–7.741.628.5–61.3
20392.90.1–8.14129.4–56.4
204020.2–742.428.1–59.1
20411.70.1–5.841.927.2–58.7
20421.70.1–7.343.529.6–59
20432.10.1–7.94528.7–59.5
20441.90.2–9.244.929.4–59.9
20452.20.1–7.245.230.3–59.2
20462.40.3–10.24627.3–62.4
20472.90–8.649.132.4–63.6
20483.30.1–12.746.228.3–65.7
20493.50–9.248.229.5–65.7
20502.20.2–7.949.536.4–64.4
20511.90–9.348.831.6–68.3
20522.50.1–9.450.330.9–68.1
20531.80.2–6.148.235.9–67
205420.2–8.449.435.3–66.1
20552.70.2–1152.233.7–67.7
20563.20.3–13.350.836.2–71.6
20573.30.2–1050.232.8–65.6
20584.10.1–1355.337.5–70.8
20593.90.1–15.151.934.5–74.1
20603.30.4–12.352.938.2–68.1
20614.20.9–11.454.338.3–69.8
20623.20.4–11.353.936.9–69
20634.70.7–13.656.437.6–72.1
206440.4–11.655.938.5–71.3
206550.3–12.95537.3–73.3
20665.40.6–11.853.935.8–73.8
20675.30.4–15.361.141.2–76.6
20683.70.5–10.356.241.7–73
20694.70.4–1358.741.8–73
20703.90.2–14.655.738.9–74.4
20713.50.3–14.759.637.8–76.6
20725.11.3–11.959.643.5–74.6
207350.8–13.856.939.4–71.6
20743.90.3–1554.836.7–73.7
20755.40.6–16.856.941.8–75.4
207660.4–18.659.941.9–77.7
20774.60.9–15.657.437.9–74.1
20786.60.5–17.760.540.5–80.7
20796.80.2–24.860.637.1–83.3
20806.71.4–15.859.743.1–78
20815.30.7–18.25943.7–78.9
20827.51.2–23.763.945.5–80.2
20835.60.5–14.760.842–79.7
20845.40.5–14.162.547.3–82.1
20856.30.5–15.865.246.3–79
20866.10.6–18.864.445.6–80.1
20878.60.8–20.463.743.8–84
20886.11.3–18.167.247.4–84.4
20896.90.8–22.664.546–82.9
20905.10.9–24.865.842.8–80.5
20916.70.8–21.666.745.3–84.7
20927.21–17.864.838.5–82.3
20935.30.4–1763.644.7–83
20949.90.9–17.162.445–82
20958.10.4–19.46643.6–83.5
20965.90.3–15.96542.9–85.8
20974.90.3–18.465.844.9–84.4
209881.2–19.464.647.9–84.2
20997.50.5–22.267.742.2–81.9
21007.21.6–19.465.142.5–83.2

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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