Ghana vs Mali

Ghana vs Mali: Days above 35 °C

Days above 35 °C in 2014: 71.6 days in Ghana and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 133.8 days, or 2.87 times that in Ghana.

days a year · CMIP6

Ghana vs Mali: Days above 35 °CDays above 35 °C in 2014: 71.6 days in Ghana and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 133.8 days, or 2.87 times that in Ghana.
GhanaMaliCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ghana at 138.2 days and Mali at 250.4 days in 2100.

Every year

days a year · CMIP6

YearGhanaMali
201471.6205.3
201371.3204.6
201268.2205.2
201167.9205
201067.4201.7
200964.1201.1
200862.6200.4
200763.3201.3
200661.4198.2
200563.7198.1
200465.8201.5
200363.1198.8
200259.8200.1
200166.5198.2
200064195.8
199959.3194.7
199859.1193.3
199759.9194.1
199652.9188.1
199555189.6
199454.2187
199348.4183.1
199245.7181.5
199157191.7
199059.4192.8
198953.8189.4
198857.9187.1
198756.1188.2
198656.8190.4
198553.2185.4
198455.4186.1
198353.6186.8
198255.3187.2
198157.3187
198054.8189
197955.5188.8
197853.3184.1
197754.6184.6
197651.6184.9
197551.3183
197450.3180
197353.8185.9
197251.3182.7
197151.8181.8
197049.4184.4
196953.8184.7
196848.6182.4
196750179.2
196649.6182.3
196548.3180.5
196441.4177.2
196349.7177.9
196253.4185.3
196155.2186.4
196053.7189.3
195955.6187.2
195855.9185.9
195753.6191.6
195650.7182.5
195552.4185.5
195454.6187.6
195353.7186.3
195252.9184.5
195155186
195050.4183
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaMali
201571.153.8–91.4205.1181.6–226.2
201663.945.6–80.9202177.4–219.9
201768.550.1–89.6208.7184.8–230
201868.847.2–90.5203.5179–226.6
201971.251.3–91.2207.3177.3–229.3
202070.447.5–99205.3176.9–227.9
202172.353.9–89.2207.3189.4–228.8
202277.853–100.4212.7186.6–234.9
202374.950.1–94.2208.3186.1–232.4
202476.458.9–98.6216.7191.8–240.5
202573.458.6–97.1212.9190.9–233.9
202676.448.1–100.1214175.7–236
202782.348.1–101.3214.4187.3–235.9
202878.254.7–103.3217.9191.7–234.6
202982.160.9–106.2214193–233.5
203082.358.1–109.4215.1189.6–236.7
203183.460–104.8217.8194.8–239.2
203287.859.8–113.7215.6188.8–241.2
203385.457.8–111.6217.3191.2–240.5
203485.760.7–107.6215.5193.5–241
203583.752.3–112.8220.3192.4–241.1
203683.959.8–112.7217.1193.6–243.4
20379161.1–112.1224.3198.3–242.7
20389369.4–116.7222.3194.3–251
203990.768.6–112.3219.2196.6–247.4
204091.464.9–124.3223.3201–245.1
204198.373.9–119.7225.1204.4–245.5
204294.468.7–119.2226199.1–248.7
204389.969.9–115.4223.1202.4–244.4
204496.466.8–122.1226.3197.8–250.4
204597.672.5–126.7226.9202.5–248.2
2046103.372–126228.6199.3–250.6
2047107.173.1–126.4232.2203.4–255.4
2048102.273.2–129.3232.1208.4–251.3
2049101.778.4–130.3228.3206.3–249.9
205097.174.1–133.6227.9204.5–253.3
2051100.271.2–132.2225.8205–252.8
2052106.772.2–139.2233.4204.7–262.2
2053102.176.2–135.8228.5204.3–257.4
2054104.973–138.7231.7207.6–260.8
2055108.379.7–140.4235.2209.3–258.2
2056107.278.3–141.6236.4209–259.9
205711579.1–140.9238.9212.9–266.1
2058109.381.4–137.3232.2209.6–263.7
2059110.484.2–149.1238.6213–263.1
2060112.979.5–150235.3213.6–260.9
206111581.5–147239.6210.7–268.2
2062110.282.1–147.1236.3210.8–264.6
2063116.689.6–154.8238.3214.5–260.1
2064113.882.4–145239215.2–265.3
2065119.187.3–148.4239.8216.5–260
2066111.486.9–147.7240.4219.8–269.8
2067112.581.3–146.1234.5212.7–260.9
2068117.681.6–151.4239.3213.8–265.9
2069120.380.5–155.7241213–262.1
2070119.580.7–156.2241.2213.9–266.1
2071117.886.5–160.5239.6216.8–268.4
2072121.383.8–153.9244.7222.5–271.9
2073123.983.3–169.2243.1216.4–269.2
207411687.9–166.7243.3216.9–272.6
2075122.684.7–159.9244.5217.8–270
2076125.490.5–160.5245219.7–267.6
2077131.784.8–166.8249.7217.4–277.9
2078124.491.3–167.3247.1219.3–274.3
2079126.291.1–167.2245218.1–272.2
2080133.487.6–167.9247.1219.9–274.3
2081126.987.5–168.1244.6216.8–276.5
2082129.288.4–165.5244.9220.3–276
2083132.494.6–169.2249.3222.7–275.6
2084127.892.7–171.2244.5220.6–274.1
2085137.888.9–172.9252.2220.4–277.5
2086132.287–173.9247221.5–277.6
2087132.885.3–171.4243212.5–274.4
2088134.791.8–167.8245.7222.2–279.5
2089125.491.5–169.8245.4217.4–278.8
2090131.190.3–174.7249.8217.9–273.1
2091135.297.5–170.9249.3224.1–276.6
2092139.392.5–177.8250.8219.8–275.2
209313597.2–186.1249.4221.9–280.7
2094133.396.3–178.3252.8226.8–277.6
2095146.494.3–184.7251.7220.9–277.7
2096136.392.5–185.8251.6226.6–279.2
2097129.791.7–176.8246.5221.7–275
2098136.895.3–175252.7226–275.1
2099139.485.6–189.1253.6226.7–282.1
2100138.296.8–187.7250.4223.5–278.7

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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