Belgium vs Brazil

Belgium vs Brazil: Days above 35 °C

Days above 35 °C in 2014: 0 days in Belgium and 18.8 days in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 18.8 days.

days a year · CMIP6

Belgium vs Brazil: Days above 35 °CDays above 35 °C in 2014: 0 days in Belgium and 18.8 days in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 18.8 days.
BelgiumBrazilCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Belgium at 0.1 days and Brazil at 80.8 days in 2100.

Every year

days a year · CMIP6

YearBelgiumBrazil
2014018.8
2013021.8
2012019.5
2011019.6
2010015.4
2009016.6
2008014.6
2007011.6
2006012
2005014.2
2004016.2
2003015.5
2002012.4
2001016.1
2000013.5
1999011.4
1998012.8
1997011.7
1996010
199508.8
199409.1
199307.8
199205.6
199108.5
1990013.3
1989010.2
198809.7
198709.4
198609.9
198507.5
198407
198306.4
198208.5
198109.4
198008.1
197909.1
197809
197708
197606.9
197506.8
197407.1
197307.3
197207
197105.8
197006.7
196906.9
196806.4
196706.4
196606.4
196506
196405.9
196304.9
196207.2
196107.5
196007.8
195907.5
195807.9
195708
195606.9
195508.6
195408.3
195306.8
195207.2
195107.2
195007.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelgiumBrazil
201500–018.56.9–38.8
201600–018.57–35.9
201700–019.47.7–41.4
201800–019.87.6–41.4
201900–0.1218.9–47.1
202000–0.221.98.7–43.2
202100–024.69.7–51.8
202200–023.410–51.2
202300–0.525.710.5–55.5
202400–0.127.713.3–51.1
202500–0.627.210.5–57.6
202600–0.124.48.1–53.1
202700–028.28.9–55.7
202800–0.129.411.9–61.9
202900–0.333.916.4–66.7
203000–0.128.211.6–56.6
203100–035.315.2–70.7
203200–0.235.616.6–67.3
203300–0.23113.5–63.2
203400–131.214.1–75.1
203500–0.630.814.4–68
203600–0.832.413.7–58.7
203700–0.739.419.6–66.5
203800–0.138.215.4–71.3
203900–0.137.214.6–75.5
204000–038.518.6–76.2
204100–0.941.819.9–76.6
204200–0.639.917–86.1
204300–0.337.614.9–81.2
204400–138.416.1–84.4
204500–0.940.420.4–74.9
204600–0.75023.7–86.7
204700–0.843.522.9–86.4
204800–1.250.424.6–96.2
204900–0.449.823.9–90.2
205000–0.746.922–92.7
205100–0.747.324.9–95.6
205200–0.454.728.7–97.5
205300–0.547.122.6–92.3
205400–1.545.221.6–92.2
205500–1.152.228.6–103.8
205600–1.453.223.6–110.8
205700–0.650.620.2–94.7
205800–1.155.325–117.3
205900–0.861.229–118.5
206000–1.46531.1–111.3
206100–1.554.123.5–115.4
206200–1.954.924.7–127.7
206300–1.459.428.6–112.9
206400–0.554.828.7–106.1
206500–1.862.330.3–119.5
206600–0.862.330.6–113.5
20670.10–2.760.926.9–113.1
206800–0.766.730.1–119.7
20690.10–1.460.631.5–113.8
20700.10–2.759.932.1–124.8
20710.10–2.464.433.8–111
207200–1.76830.5–128.1
20730.10–2.672.736–127.6
207400–1.968.832.6–125.7
20750.10–1.567.832.7–116.4
207600–2.267.933.7–124.9
207700–2.372.535.5–128.9
207800–4.27336.7–132
207900–1.669.233.6–125.5
20800.10–2.867.834.9–122.2
20810.10–3.270.936.9–140.4
20820.10–370.640.7–125.8
208300–1.675.735.7–152.5
208400–1.57734.1–140.3
208500–2.383.937.2–147.8
20860.10–3.273.334.6–141
20870.10–2.678.439.2–144.2
20880.10–6.379.335.1–152
208900–1.875.239–146.4
209000–3.578.341.8–148.6
20910.10–2.58135.2–147.9
209200–2.97936.6–148
209300–0.77739.3–148.7
20940.50–2.27939.6–144.5
20950.10–3.588.636.5–155.9
209600–2.675.736.1–152.8
20970.10–2.57936.7–135.6
20980.20–2.582.737.9–166.4
20990.10–2.777.941–144.7
21000.10–2.380.840.2–141.3

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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