Bhutan vs China

Bhutan vs China: Days above 35 °C

Days above 35 °C in 2014: 0 days in Bhutan and 5.1 days in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 5.1 days.

BhutanChina
Watch it change on the map

Change since 1990, days a year · CMIP6

All yearsSince 1990Since 2010
ValuesChange
LinearLog
Projection
Bhutan vs China: Days above 35 °CDays above 35 °C in 2014: 0 days in Bhutan and 5.1 days in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 5.1 days.
BhutanChinaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

Latest figures

days a year · CMIP6

CountryLatest10 years beforeProjected
Bhutan0 201400.1 2100
China5.1 20144.816.5 2100

What the numbers say

  • China has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bhutan at 0.1 days and China at 16.5 days in 2100.

Every year

days a year · CMIP6

YearBhutanChina
201405.1
201305.4
201205.3
201104.9
201005
200904.9
200804.4
200704.2
200604.7
200504.6
200404.8
200304.6
200204.6
200104.5
200004.5
199904.4
199804.2
199703.7
199603.9
199503.4
199403.6
199302.8
199202.6
199103.8
199003.6
198903.9
198803.1
198703.3
198603.1
198502.6
198402.8
198302.7
198203.3
198103.2
198003.1
197903
197803.3
197703.2
197602.8
197503
197403.1
197302.7
197202.9
197102.9
197002.7
196903
196802.9
196703
196603
196502.9
196402.5
196303.3
196203.1
196103.5
196003.5
195903.2
195803.7
195703.4
195603.4
195503.3
195403.3
195303.3
195203.4
195103.4
195003.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBhutanChina
201500–05.32.9–9.2
201600–05.72.6–10.5
201700–063.3–10.4
201800–05.83.1–9.6
201900–06.23.2–10.5
202000–06.23.5–10.4
202100–06.33.4–11.3
202200–06.93.9–11.5
202300–06.93.7–12
202400–06.83.7–12
202500–07.13.8–11.7
202600–07.33.6–12.8
202700–073.7–11.6
202800–07.23.6–12.4
202900–07.54–13.1
203000–07.34–12.7
203100–07.94.1–14.2
203200–07.84.4–13.8
203300–07.54.3–13.5
203400–07.94–13.7
203500–08.54.6–14.2
203600–07.84–14.3
203700–08.54.5–14.6
203800–09.15–15.5
203900–0.18.24.1–14.8
204000–0.19.45.3–16.6
204100–0.19.45.2–15.7
204200–0.19.35.4–16.8
204300–0.19.34.9–16.9
204400–09.64.9–17.5
204500–09.55.6–16.4
204600–0.29.95.7–17.1
204700–0.110.45.6–17.3
204800–0.1105.3–18.3
204900–0.110.15.6–17.2
205000–0.110.55.8–18
205100–0.110.35.3–18.3
205200–0.110.35.5–17.9
205300–0.2115.6–19.6
205400–0.111.26.7–19
205500–0.1116–19.3
205600–0.111.66–19.2
205700–0.211.66–19.5
205800–0.211.35.9–20.8
205900–0.211.66–20.3
206000–0.112.97.3–21.6
206100–0.1126.7–20.4
206200–0.212.36.6–21.5
206300–0.212.66.1–22
206400–0.312.47.1–21.2
206500–0.112.86.8–21.5
206600–0.212.96.9–21.3
206700–0.113.26.7–22
206800–0.413.27.1–22.6
206900–0.312.96.8–21.1
207000–0.212.77–24.1
207100–0.313.47.3–24
207200–0.213.77.4–24
207300–0.214.78–23.7
207400–0.214.27.4–23.9
207500–0.213.97.6–24
207600–0.214.87.8–24.5
207700–0.314.98.1–25.3
207800–0.313.87.5–24.2
207900–0.314.27.8–24.1
20800.10–0.314.58.1–25.3
208100–0.414.48.1–25.7
208200–0.314.98.8–25.8
208300–0.514.88.6–25.1
20840.10–0.414.87.9–25.6
208500–0.315.67.9–26.9
20860.10–0.6157.8–25.1
208700–0.414.88.5–25.2
20880.10–0.616.29–27.9
20890.10–0.815.98.5–27.3
20900.10–0.316.18.7–26
20910.10–0.415.78.7–27.1
209200–0.516.48.7–28
20930.10–0.416.78.8–27.3
209400–0.215.67.7–27.4
20950.10–0.616.59–27.8
209600–0.316.89.8–28.2
20970.10–0.615.88.5–26.2
20980.10–0.615.78.8–26.8
209900–0.5168.3–27.9
21000.10–0.816.58.3–27.6

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