France vs Tajikistan

France vs Tajikistan: Days above 35 °C

Days above 35 °C in 2014: 0.3 days in France and 8.9 days in Tajikistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tajikistan, by 8.6 days, or 32 times that in France.

days a year · CMIP6

France vs Tajikistan: Days above 35 °CDays above 35 °C in 2014: 0.3 days in France and 8.9 days in Tajikistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tajikistan, by 8.6 days, or 32 times that in France.
FranceTajikistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tajikistan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts France at 4.1 days and Tajikistan at 17.8 days in 2100.

Every year

days a year · CMIP6

YearFranceTajikistan
20140.38.9
201309
20120.18.8
20110.18.8
20100.37.9
20090.19
20080.38.1
200708.2
20060.28.3
20050.28.3
20040.18
20030.17.8
200208.7
20010.17.6
200008.2
199908
199807.5
199707.7
199607.5
199506.9
199407
199306.2
199206.6
199106.9
199007.5
198907.4
198807.1
198707.1
198606.4
198506.5
198406.2
198305.6
198206.7
198106.8
198007
197906.8
197806.5
197706.3
197606
197506.6
197406.3
197305.7
197206.4
197105.9
197006.1
196906.3
196806
196706.5
196606.3
196506.1
196406.3
196306.2
196206.7
196106.8
196006.4
195906.6
195807.4
195707.1
195606.6
195506.2
195407
195306.1
195206.8
195106.8
195006.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceTajikistan
20150.10–1.610.17.2–12.5
20160.30–1.89.67.6–12.2
20170.10–2.19.96.9–13.1
20180.20–2.39.66.7–13
20190.20–210.17.4–12.8
20200.30–2.510.17.7–13.9
20210.20–2.210.56.8–14.3
20220.30–2.710.17.6–13.7
20230.30–2.711.57.8–14.2
20240.30–1.711.17.3–14.7
20250.30–2.611.28.8–14
20260.50–2.99.97.5–14.4
20270.30–2.510.88.1–14.3
20280.50–311.67.7–15.3
20290.40–2.710.37.8–14
20300.50–2.411.58.8–14.4
20310.40–1.911.69.3–15
20320.40–3.411.68.7–16.4
20330.60–3.911.98.4–15.8
20340.80–6.211.77.8–16
20350.60–3.211.98.5–16.4
20360.60–4128.8–16.2
20370.70–3.612.39.2–16.9
20380.80–412.29.2–15.6
20390.70–311.98.8–15.9
20400.70–3.512.48.9–17.9
20411.10–5.113.18.6–16.8
20420.70–412.69.4–17.6
20430.50–3.711.88.4–17.2
20440.60.1–4.213.19.6–17.2
20450.80.1–4.3139.2–17.2
20461.20–4.4139.4–17.4
20471.40.1–5.113.49.8–18.2
20480.70–4.5139.7–17.6
20491.30.1–5.813.19.7–17.8
205020.2–5.81410.1–18.9
205110.1–5.613.79.6–18.9
20521.30.1–5.413.89.4–18.3
20531.40.1–5.714.310.4–18.4
20541.50.1–5.914.611.1–18.6
20551.30.1–3.714.511.1–19.1
20561.50.2–6.214.710.5–19.5
20571.50.2–4.814.910.6–19
20582.10.1–8.314.711.1–19.6
20591.80.1–6.914.110.9–18.3
20602.20.2–6.915.310.5–20.2
20612.20.1–8.214.611.1–18.7
206220.2–614.811.5–19.1
20632.30.2–7.615.410.7–20.2
206420.2–8.614.810.5–20.1
20651.80.1–10.81611.4–20.6
206620.1–5.81511.6–19.2
20673.60.4–1216.411.4–20.5
20682.30.1–8.215.511.9–20.9
20692.90.5–8.415.812.3–19.7
20702.90.2–13.715.912.7–21.3
20713.10.1–9.815.311.9–21.5
20723.10.6–9.615.310.5–21.9
20732.40.2–8.916.112.1–21.9
20741.90.1–7.21611.8–21.3
20752.60.3–815.912.4–21.7
20763.10.3–10.415.510.7–22.3
20772.40.3–10.416.512.2–21.7
20782.10.3–10.715.911.1–23.4
20791.80.1–7.515.610.9–21.8
20802.80.4–10.215.912.1–22.9
20813.30.2–1015.912–22.5
20823.40.4–11.116.513.4–21.7
20832.90.4–9.416.912.7–21.8
20842.30.4–9.716.312.1–21.5
20853.50.5–9.615.612–22.9
20863.50.3–11.81711.9–22.5
20873.50.5–12.917.113.5–21.9
20884.50.7–18.717.212.5–22.7
20893.50.7–9.517.612.8–23.3
20903.50.5–11.917.112.8–22.2
20914.70.3–11.317.512.4–22.2
20922.60.3–9.217.512.7–22.8
20932.30.4–7.517.713.5–21.8
20944.30.6–11.517.513.3–24.1
20953.60.2–13.118.312.8–23.1
20963.50.4–11.818.213.7–23.2
209730.4–12.717.412.7–21.8
20983.20.4–9.918.213.2–23.8
20993.90.5–12.117.412.2–23.5
21004.10.5–11.217.812.2–24

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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