Belgium vs Kazakhstan

Belgium vs Kazakhstan: Days above 35 °C

Days above 35 °C in 2014: 0 days in Belgium and 15 days in Kazakhstan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kazakhstan, by 15 days.

Watch it change on the map

days a year · CMIP6

Belgium vs Kazakhstan: Days above 35 °CDays above 35 °C in 2014: 0 days in Belgium and 15 days in Kazakhstan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kazakhstan, by 15 days.
BelgiumKazakhstanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kazakhstan 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 Kazakhstan at 34.8 days in 2100.

Every year

days a year · CMIP6

YearBelgiumKazakhstan
2014015
2013013
2012014.4
2011013
2010012.7
2009013.5
2008013.6
2007013.3
2006012.1
2005012.6
2004011.7
2003012.2
2002012.6
2001011.8
2000011.7
1999011.5
1998010.6
1997012.2
1996010.6
199509.7
199409.5
199307.9
199207.7
199109.2
1990010.1
198908.9
198809
1987010
198608.3
198509.1
198407.6
198306
198209.2
198109.2
198008.4
197908.9
197807.4
197709.4
197608
197507.9
197407.4
197307.2
197207.9
197107.7
197007.9
196907.6
196807.8
196707.4
196607.1
196507.6
196406.9
196307.8
196208.5
196108.1
196008.5
195908.3
195809.2
195709.2
195608.4
195508.3
195408.8
195307.8
195209
195108.6
195008.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelgiumKazakhstan
201500–017.710–27.1
201600–016.18.8–25.8
201700–015.58.6–22.9
201800–016.58.7–26.2
201900–0.116.59.2–24.4
202000–0.215.79.7–24.8
202100–015.58.3–24
202200–016.99.8–26.7
202300–0.518.110.3–27.3
202400–0.117.28.9–25.5
202500–0.617.911.6–27
202600–0.117.49.5–25.8
202700–018.111.2–28.8
202800–0.118.510.1–29.1
202900–0.316.89.8–28.1
203000–0.118.910.4–29.3
203100–022.713.5–32
203200–0.221.812.4–31
203300–0.220.312.1–31.1
203400–118.310–29.7
203500–0.620.810.9–32.9
203600–0.821.611.8–32.1
203700–0.720.511.9–29.7
203800–0.121.912.2–30.7
203900–0.12113.3–32
204000–022.311.8–32.1
204100–0.922.614.5–35.7
204200–0.621.812.6–33.6
204300–0.322.414.1–32.2
204400–123.712.9–34.5
204500–0.922.913.3–33.5
204600–0.723.715–36.3
204700–0.824.314.2–37.3
204800–1.224.312.5–35.5
204900–0.425.715.8–37.1
205000–0.726.915.5–36.1
205100–0.724.114.7–36.5
205200–0.425.113.9–36.8
205300–0.526.115.1–37.3
205400–1.524.114.2–38
205500–1.125.215.2–37.4
205600–1.427.416.3–40
205700–0.628.218.2–41.1
205800–1.124.814.5–38.5
205900–0.82717.1–40.4
206000–1.42817.6–38.2
206100–1.527.717.1–39.6
206200–1.926.616.1–39.8
206300–1.428.714.8–42.2
206400–0.52711.8–42.7
206500–1.829.717.7–40.8
206600–0.825.916–38.4
20670.10–2.726.615.3–40.8
206800–0.729.718.2–43.5
20690.10–1.428.918–44
20700.10–2.728.417.9–43.7
20710.10–2.430.218.1–45.1
207200–1.729.719–42.7
20730.10–2.629.215.9–46.6
207400–1.931.619–48.2
20750.10–1.53119.4–43.6
207600–2.228.717–43.3
207700–2.330.118.6–44.9
207800–4.231.519.9–44.2
207900–1.631.118.3–44.1
20800.10–2.830.218.6–44.3
20810.10–3.230.418.9–43.7
20820.10–330.716.6–44.6
208300–1.633.320.2–47
208400–1.530.816.3–44.9
208500–2.33217.1–47.9
20860.10–3.230.617.4–44
20870.10–2.631.219.3–45.8
20880.10–6.332.219.1–48.2
208900–1.833.119.5–47.4
209000–3.534.121–49.1
20910.10–2.531.418.7–50.2
209200–2.933.519.2–47.8
209300–0.733.220.8–47
20940.50–2.231.620.1–50.9
20950.10–3.53420.5–48.9
209600–2.635.621.4–52.3
20970.10–2.536.121.8–49.9
20980.20–2.535.621.1–48.6
20990.10–2.733.519.5–47.5
21000.10–2.334.821.2–50.4

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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