Poland vs Thailand

Poland vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 0 days in Poland and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 39.9 days, or 2,000 times that in Poland.

days a year · CMIP6

Poland vs Thailand: Days above 35 °CDays above 35 °C in 2014: 0 days in Poland and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 39.9 days, or 2,000 times that in Poland.
PolandThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Poland at 0.8 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearPolandThailand
2014039.9
2013042.1
2012040.1
2011039.9
2010039.8
2009037.9
2008036
2007033
2006039.2
2005034.9
2004039.4
2003034.1
2002036.3
2001037.8
2000032.5
1999029.7
1998033.3
1997033.7
1996031.3
1995033.5
1994033.5
1993030.4
1992025.5
1991035.4
1990037.7
1989029.3
1988030.6
1987031.2
1986034.3
1985029.3
1984032.4
1983030.4
1982033.1
1981029.5
1980028.8
1979032.4
1978026.1
1977031.5
1976029.7
1975025
1974031.5
1973034.5
1972030.3
1971027.1
1970028.7
1969029.9
1968029.4
1967028.3
1966025.4
1965027.1
1964026.6
1963026
1962028.7
1961031.1
1960032.9
1959024.4
1958033
1957027.8
1956027.1
1955031.2
1954030.3
1953028.2
1952034.1
1951033
1950028.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPolandThailand
201500–0.341.123.5–66.3
201600–0.838.915.7–61.2
201700–1.141.420.8–64.9
201800–0.843.521.7–65.5
201900–0.940.916.5–61.9
202000–145.617.3–66.6
202100–0.543.720.7–70.7
202200–147.826.4–73.3
202300–1.841.822.3–67.2
202400–1.144.726.9–70.9
202500–2.250.227.3–77
202600–1.344.425.2–80.5
202700–0.747.126.2–75.6
202800–1.351.123.1–73.3
202900–256.733.9–84.7
203000–0.850.726.1–78.9
203100–150.531.5–81.2
203200–1.949.823.6–85.7
203300–1.253.432–73.7
20340.10–2.151.531.6–83.4
203500–1.652.228.9–89.2
203600–2.653.335.2–77.4
203700–2.357.632–82.5
203800–3.362.238.5–91.5
20390.20–2.455.127.8–78.8
20400.10–1.953.728.4–91.3
204100–1.16337.5–86.6
204200–2.354.826.4–94.7
204300–3.257.129.8–85.3
20440.10–2.657.336.7–95.7
204500–2.554.934.2–90.2
20460.10–2.662.736.4–102.1
20470.30–363.635–98.5
20480.10–3.672.237.4–110.4
20490.30–3.666.240.8–98.3
20500.40–2.464.536.9–95.3
20510.20–3.166.135.5–97.1
205200–3.274.339.3–108.1
20530.20–2.764.635–106.7
20540.20–3.369.144.2–112.1
20550.10–4.171.445.3–107.6
20560.20–3.870.536.5–117.7
20570.10–5.47240–104.6
20580.50–573.140.6–107.3
20590.40–5.477.251.2–121.4
20600.20–2.580.946–117
20610.60–3.777.335.3–117.8
20620.30–3.873.535.5–125.8
20630.50–5.983.640.3–122.6
20640.70–4.974.746.9–111.8
20650.40–4.569.939.5–124.8
20660.60–480.250.7–122.7
20670.50–5.969.437.9–116
20680.50–3.176.445.8–131.7
20690.80–4.477.747.4–128.7
20700.70–5.673.839.2–129.5
20710.20–5.580.642.2–131.6
20721.10–4.481.347.5–135.3
20730.60–3.988.854.2–133.4
20740.50–4.18444.3–128.1
20750.70–6.682.838.3–123.9
20761.20–6.282.937.1–132.9
20770.40–7.18849.4–132.4
20781.20–791.252–137
20790.80–9.285.749.5–144.4
20800.70–3.588.552.7–143.6
20810.70–5.987.150.9–135.1
208210–10.489.953.5–133.6
20830.40–5.387.145.8–149.7
20840.70–4.58447.7–131
20850.90–5.793.853.8–141.8
20860.80–7.287.745.8–139.2
20871.20–7.586.447.4–139.2
20881.60–6.490.441.7–153.2
20891.10–9.490.149–151.2
209010–7.287.853.3–154.1
209120–6.78648.2–148.6
20920.80–7.492.650.2–149.9
20930.40–4.289.854.6–159
20941.40–7.195.549.6–143.6
20951.40–6.9103.458.2–156.3
20960.80–4.289.951.3–155.4
20970.50–694.550.2–142.6
20981.10–6.989.851.6–149.6
20990.70–7.388.244.7–147.4
21000.80–6.895.951.1–153.3

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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