Tanzania vs United Arab Emirates

Tanzania vs United Arab Emirates: Days above 35 °C

Days above 35 °C in 2014: 1.7 days in Tanzania and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 186.5 days, or 110 times that in Tanzania.

days a year · CMIP6

Tanzania vs United Arab Emirates: Days above 35 °CDays above 35 °C in 2014: 1.7 days in Tanzania and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 186.5 days, or 110 times that in Tanzania.
TanzaniaUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Tanzania at 16.1 days and United Arab Emirates at 211.7 days in 2100.

Every year

days a year · CMIP6

YearTanzaniaUnited Arab Emirates
20141.7188.2
20131.7186.1
20121.6186.5
20111.9186.2
20101.6184.6
20091.4182.8
20081.3184.9
20071.6183.2
20061.3182.4
20051.3184
20041.4183
20031.4181.2
20021.5184.4
20011.7185.8
20001.1183.5
19991.1182.7
19981.4179.4
19971.2180.6
19961.1177.8
19950.9178.9
19940.8179.9
19930.7173.8
19920.8173.5
19910.9176.1
19900.9179.8
19891176.8
19881.1177.1
19871176.2
19861.1177
19850.9174.6
19840.8176.3
19830.8170.9
19820.9174.8
19810.8177.2
19800.8178.3
19791174.3
19780.6175.3
19770.7173.8
19760.5176.1
19750.7171.8
19740.8173.4
19730.6175
19720.6172.7
19710.7170
19700.8172.4
19690.7172.3
19680.6172.5
19670.6169.7
19660.6172.2
19650.6170.5
19640.5171.1
19630.6172.1
19620.9174.7
19610.9174.7
19601175.7
19590.8175.1
19580.8177.7
19570.6176.8
19560.6174.3
19550.7174
19540.7173.4
19530.7174.2
19520.6175.2
19510.6174.5
19500.7173.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearTanzaniaUnited Arab Emirates
20152.50.8–5.7191.2179.8–204.4
20161.90.6–5.5189.6178.1–197.4
20172.30.5–6188171.7–199.5
20182.50.8–5.9189.4176.5–202.3
20192.50.8–6.2188.9176.5–199.6
20203.21.3–7.5191.1179.6–203.2
20213.10.8–8189.5176.6–201.4
20222.80.8–9189.6170.9–200.8
20233.51.1–8.4190.8179–205.1
20243.81.2–7.9192.5179.6–206
20253.31–8.2190.7180.4–202.7
20263.20.8–9.3195.8183.5–207.4
20273.51–7.8194.4181.1–206.7
20283.21–7.3194.9182.7–205.4
20293.51–9.7192.1179.1–205.4
20303.71.2–8.9196.6182.9–206.4
203141.4–10.1196.3182.6–206.8
20323.61.1–8.4194.1182.4–203
20334.61.6–11.5197.4184.9–212.1
20344.81.6–11.1203.2184.1–214.6
20354.41.7–11.8197.7184–208.1
20364.61.5–11.5196.3179.4–207.3
20374.91.4–10.9196.4187.8–208.6
20384.31.5–10.5199.4181.9–210
20394.91.8–10.6199.8185.5–210.9
20405.41.7–12.1199.6182.7–208.1
20415.61.5–13.8198.1183.2–210.9
20425.61.9–11.7199.2184.4–211.7
20434.31.5–10.9201.1183.5–212.8
20444.91.7–13.1201.1188.2–208.5
20456.32.4–12.7202189.1–212.7
20466.92–15199.2188.6–214.5
204772.7–15.9201.6193.4–213.9
20487.22.8–17.2204.3189.9–219.4
20496.32.2–15.1202.4187.6–213.8
20506.92.3–17.9206.3191–216.8
20518.53.4–18.4205.6193–217.4
20527.43.3–17.2204.2190.8–217.7
20536.81.5–16.2204.1189.3–214.8
20548.33–17.8201.8189.2–219.8
20558.73.3–19.2207.2190.6–220.1
20568.52.4–20.4204.4189.9–217.7
20578.92.3–20.4208.6196.9–223
20589.83.2–18.7204.4194.1–215.5
205910.33.6–21.9205.3186.3–217.3
206010.82.8–22.6208.1195–218.2
206110.52.9–22.7206.4193.8–215.8
206210.43.7–24.8209.9192.6–220.5
2063103.1–21.5207.6195.5–221.1
206410.83.9–22.7205.1189–222.7
206511.13.3–27206.2190.5–221.6
206611.23.5–25.4209.6192.6–225.1
206710.83.2–25.6210.1197.6–223.1
206810.23.5–26.2205194.4–216.7
206911.43.3–24.2209192.1–222.3
207011.54.2–26.5209.4198.4–224
207112.43.6–24.9214.1194.6–225.3
207212.54.8–25.9210.3194–222.6
207313.34.6–29.5211.9196.4–224.7
207410.63.5–24211.3194.9–225.3
207511.74.4–24.4209.5194.1–226.1
207612.74.2–28.7208.3195–226.6
207712.34.7–26.7212.1197.6–223.3
2078134.8–25.9211.5198.5–223.7
2079144–27.6207.9195.3–223.5
208013.34–28.4209.5195.7–225.6
208114.23.5–28.5211.3191.2–224.7
208213.94.8–27.1211196.8–227.8
208315.26.1–31.9214.3198.3–225.1
208416.45.2–30.7212.4201.1–226.6
208515.96.6–31.5212.3198.9–229.9
208615.45.3–31.1213.2196.1–230.7
208714.94.7–29.5213.3201.4–225.1
208816.54.6–31.4213.1201.1–229.8
208915.65.7–28.3214.3201.6–225.4
2090165.3–32.8213.9200.9–226.3
209118.56.3–35.4211.5201.4–224.6
209217.26.3–35.2212.1200.8–225.7
209317.36.7–32.3212.2197.4–229.7
209419.45.1–34.5213.7198.4–226.1
209517.56.5–34.6215204.2–226.4
2096166.2–33.4215.8198.9–226.3
209716.35.5–32.4213196.7–228
209816.45.6–35.3214.6200.6–230.3
209916.94.3–33.2215203.6–229.1
210016.15.8–35211.7198.7–224.8

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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