Sweden vs Türkiye

Sweden vs Türkiye: Tropical nights

Tropical nights in 2014: 0.1 nights in Sweden and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Türkiye, by 19.8 nights, or 400 times that in Sweden.

Watch it change on the map

nights a year · CMIP6

Sweden vs Türkiye: Tropical nightsTropical nights in 2014: 0.1 nights in Sweden and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Türkiye, by 19.8 nights, or 400 times that in Sweden.
SwedenTürkiyeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Türkiye has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Sweden at 0.7 nights and Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearSwedenTürkiye
20140.119.8
20130.118.5
2012018.7
2011018.5
2010018.7
2009017.6
2008018.2
2007016.6
2006017.7
2005017.2
2004017.1
2003017.6
2002016.8
2001017.3
2000016.4
1999015.9
1998014.7
1997015
1996014.8
1995014.1
1994013.5
1993012.1
1992011.5
1991013.4
1990014.6
1989013.1
1988012.9
1987012.5
1986013.3
1985012.4
1984011.9
1983010.7
1982012.4
1981012.2
1980012.4
1979012
1978011.5
1977011.2
1976012
1975011.5
1974011.8
1973011.6
1972011.5
1971012.1
1970011.6
1969012
1968012
1967011.3
1966011.5
1965010.8
1964011.2
1963012
1962011.8
1961012
1960012.9
1959012.6
1958013
1957012.2
1956012.7
1955011.9
1954011.9
1953012.9
1952012.1
1951012.5
1950012.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSwedenTürkiye
20150.10–0.322.216.2–29.8
201600–0.321.114.7–29.6
201700–0.421.914.3–29.4
201800–0.322.916–29.9
20190.10–0.521.916.4–29.5
202000–0.323.617–31.6
202100–0.32317.1–30.9
20220.10–0.523.617.3–31.6
20230.10–0.624.717.8–33.4
202400–0.425.418.6–34.1
20250.10–12518.1–33
20260.10–125.618.3–34.1
20270.10–0.324.816.9–34.8
20280.10–0.625.218.7–32
20290.10–0.826.219.8–34.4
20300.10–0.525.919.3–34.5
20310.10–0.426.419.7–35.1
20320.10–0.827.219.9–35.6
20330.10–0.828.721.4–36.9
20340.10–0.727.620.8–34.7
20350.20–0.828.721.7–37
20360.10–0.828.720.9–38.1
20370.10–129.721.3–38.6
20380.10–1.229.922–41.6
20390.10–0.830.923.6–40.3
20400.10–0.830.923.2–40.9
20410.10–1.230.122.2–40.5
20420.20–1.229.920.1–40.7
20430.20–1.13123.6–40.4
20440.10–1.130.823.1–43.5
20450.10–0.632.424–43.1
20460.20–1.332.923.5–42.8
20470.30–2.132.324.1–44.9
20480.30–1.834.123–45.9
20490.20–1.631.622.1–43.2
20500.20–1.833.423.8–44.2
20510.20–1.734.125–43.1
20520.20–233.325.3–42.6
20530.10–1.335.326.6–44.2
20540.20–1.134.624–44.1
20550.20–1.635.425.9–47.7
20560.20–1.534.424.1–45.6
20570.20–1.436.326–47.4
20580.30–2.336.425.8–51.8
20590.30–1.737.124.8–48.1
20600.20–1.435.826.7–48.3
20610.40–1.638.826.3–49.7
20620.30.1–1.737.725.3–49.5
20630.20–2.138.426.6–51.7
20640.20–1.638.928.4–49.9
20650.30–339.628.6–49.4
20660.20–2.836.325–49.1
20670.30–238.327.7–50.7
20680.20–1.539.928–50.7
20690.60.1–3.139.729.2–52.2
20700.30–239.527.6–51.7
20710.30–2.739.829.1–51.7
20720.20–241.928.9–54.2
20730.40–4.640.927.2–54.6
20740.20–2.839.428–51.9
20750.30–2.939.828.4–53.9
20760.40–2.441.529.1–53.7
20770.40–2.241.329–53.3
20780.50–3.142.231.3–52.9
20790.40–3.14430.8–56.6
20800.30–2.143.432.5–54.9
20810.30–342.131.7–54.6
20820.40–4.443.630.9–56
20830.50.1–34629.6–57.6
20840.30–2.445.131–56.8
20850.40–3.343.330.3–54.5
20860.70–443.830.2–56.4
20870.60–644.229.2–59
20880.50–2.744.932.7–58.1
20890.50.1–3.444.630.7–59.3
20900.40–2.946.132.8–59.2
20910.60–3.945.332.2–61.2
20920.80–4.245.631.1–59.2
20930.70.1–4.847.631.5–61.8
20940.50–2.647.533.7–61.2
20950.50.1–4.346.232.3–60.2
20960.50–3.745.731.1–60.7
20970.50–4.548.432.1–61
20980.50.1–3.746.431.2–59.5
20990.30–3.245.430.8–58
21000.70–4.445.530.4–60.1

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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