Burundi vs Ghana

Burundi vs Ghana: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 71.6 days in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 71.6 days.

days a year · CMIP6

Burundi vs Ghana: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 71.6 days in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 71.6 days.
BurundiGhanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Burundi at 0.1 days and Ghana at 138.2 days in 2100.

Every year

days a year · CMIP6

YearBurundiGhana
2014071.6
2013071.3
2012068.2
2011067.9
2010067.4
2009064.1
2008062.6
2007063.3
2006061.4
2005063.7
2004065.8
2003063.1
2002059.8
2001066.5
2000064
1999059.3
1998059.1
1997059.9
1996052.9
1995055
1994054.2
1993048.4
1992045.7
1991057
1990059.4
1989053.8
1988057.9
1987056.1
1986056.8
1985053.2
1984055.4
1983053.6
1982055.3
1981057.3
1980054.8
1979055.5
1978053.3
1977054.6
1976051.6
1975051.3
1974050.3
1973053.8
1972051.3
1971051.8
1970049.4
1969053.8
1968048.6
1967050
1966049.6
1965048.3
1964041.4
1963049.7
1962053.4
1961055.2
1960053.7
1959055.6
1958055.9
1957053.6
1956050.7
1955052.4
1954054.6
1953053.7
1952052.9
1951055
1950050.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiGhana
201500–071.153.8–91.4
201600–063.945.6–80.9
201700–068.550.1–89.6
201800–068.847.2–90.5
201900–071.251.3–91.2
202000–070.447.5–99
202100–072.353.9–89.2
202200–077.853–100.4
202300–074.950.1–94.2
202400–076.458.9–98.6
202500–073.458.6–97.1
202600–076.448.1–100.1
202700–082.348.1–101.3
202800–078.254.7–103.3
202900–082.160.9–106.2
203000–082.358.1–109.4
203100–083.460–104.8
203200–087.859.8–113.7
203300–085.457.8–111.6
203400–085.760.7–107.6
203500–083.752.3–112.8
203600–083.959.8–112.7
203700–09161.1–112.1
203800–09369.4–116.7
203900–090.768.6–112.3
204000–091.464.9–124.3
204100–098.373.9–119.7
204200–094.468.7–119.2
204300–089.969.9–115.4
204400–096.466.8–122.1
204500–097.672.5–126.7
204600–0103.372–126
204700–0107.173.1–126.4
204800–0.1102.273.2–129.3
204900–0101.778.4–130.3
205000–0.197.174.1–133.6
205100–0100.271.2–132.2
205200–0106.772.2–139.2
205300–0.1102.176.2–135.8
205400–0.1104.973–138.7
205500–0108.379.7–140.4
205600–0.1107.278.3–141.6
205700–0.111579.1–140.9
205800–0.1109.381.4–137.3
205900–0.1110.484.2–149.1
206000–0.2112.979.5–150
206100–0.211581.5–147
206200–0.3110.282.1–147.1
206300–0.2116.689.6–154.8
206400–0.3113.882.4–145
206500–0.2119.187.3–148.4
206600–0.2111.486.9–147.7
206700–0.2112.581.3–146.1
206800–0.3117.681.6–151.4
206900–0.3120.380.5–155.7
207000–0.3119.580.7–156.2
207100–0.2117.886.5–160.5
207200–0.2121.383.8–153.9
207300–0.3123.983.3–169.2
207400–0.311687.9–166.7
207500–0.3122.684.7–159.9
207600–0.4125.490.5–160.5
207700–0.3131.784.8–166.8
207800–0.5124.491.3–167.3
207900–0.3126.291.1–167.2
208000–0.3133.487.6–167.9
208100–0.4126.987.5–168.1
208200–0.6129.288.4–165.5
208300–0.5132.494.6–169.2
208400–0.4127.892.7–171.2
20850.10–0.4137.888.9–172.9
208600–0.3132.287–173.9
208700–0.5132.885.3–171.4
208800–0.4134.791.8–167.8
208900–0.3125.491.5–169.8
209000–0.4131.190.3–174.7
20910.10–1.1135.297.5–170.9
209200–0.8139.392.5–177.8
209300–0.613597.2–186.1
20940.10–0.9133.396.3–178.3
20950.10–0.9146.494.3–184.7
20960.10–0.7136.392.5–185.8
209700–0.6129.791.7–176.8
209800–1136.895.3–175
209900–0.6139.485.6–189.1
21000.10–0.7138.296.8–187.7

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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