Djibouti vs Eritrea

Djibouti vs Eritrea: Days above 35 °C

Days above 35 °C in 2014: 161.5 days in Djibouti and 132.6 days in Eritrea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 28.9 days, or 1.22 times that in Eritrea.

days a year · CMIP6

Djibouti vs Eritrea: Days above 35 °CDays above 35 °C in 2014: 161.5 days in Djibouti and 132.6 days in Eritrea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 28.9 days, or 1.22 times that in Eritrea.
DjiboutiEritreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Djibouti has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Djibouti at 202.6 days and Eritrea at 186.1 days in 2100.

Every year

days a year · CMIP6

YearDjiboutiEritrea
2014161.5132.6
2013161129.5
2012157.3127.6
2011159.3129.8
2010158.2128
2009156.7126
2008154122.9
2007150.6121.5
2006151.9120.4
2005154.3120.8
2004152.9121.4
2003156123.2
2002157.8123.3
2001153.3125.8
2000155.4120.3
1999150.7120.1
1998148117.6
1997150.2117.7
1996149.7115.1
1995147.7114.9
1994143.8112.7
1993141.9105.3
1992136.7105.1
1991146.6114.1
1990149.9117.8
1989147.4115.4
1988148.9115.8
1987145.4112.9
1986144.9114.6
1985141.4110.3
1984144111
1983139.4107.3
1982146.7108.5
1981148114.3
1980145.6113.1
1979143.2112.3
1978141.8107.2
1977144.1110.4
1976142.7109
1975140.2106.3
1974140.6107.2
1973144.8111.6
1972141.5107.4
1971141.7106.1
1970134.6106.3
1969139.3107.6
1968136.6106.5
1967137.3103.9
1966140.1105
1965137.2105.5
1964133.1100.1
1963134.4100.8
1962142.1108.5
1961141.5111.4
1960142.3110.5
1959139109.7
1958138.4108.3
1957144.3110.1
1956141.6109.2
1955139.9107.9
1954142.4110.9
1953141.5108
1952142.9109.3
1951142.3110.4
1950142.4108.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearDjiboutiEritrea
2015160.8141.1–177.6134.6113–150.8
2016162.4133.4–175.4131.5111.3–151
2017162.5134.6–177.1134.4112.4–151.6
2018157.4134.1–177.6131108.2–155.4
2019160.7134.1–179.7135.7111.4–154.9
2020162.3135.6–180.4134.2113.2–153.4
2021159.8141.2–181136.3109.8–155.4
2022161.7129–184138.8113.4–157
2023164.4132.6–185.8138.5114.4–160.3
2024165143.2–189.5142.6117.1–160.6
2025163.1129.9–181.4139.6108.4–159.3
2026165.9131.4–186.8139.4111.1–164.2
2027164.6130.3–184.6140.5109.1–161.6
2028169137.8–188.8141.1114.3–165.4
2029168.2139.9–187.9142.2116.5–161.8
2030169.3140.4–186143.6117.6–165.9
2031168.4152.8–188143.8119.2–168.1
2032172.6149.8–192.8145.2125.5–168.4
2033174.9150.4–192.2148126.2–169.2
2034172.2151.4–190.8148.2122–173.9
2035173.6146.8–189.6147.4124.1–174.5
2036172.5149.4–189.2146.4125.8–168.8
2037173.4148.7–190.7149.4127.4–173.4
2038173.9156.9–195.8153.1131.7–173.6
2039176156.9–192.9153128.4–172
2040177.3156.2–194.2149.8127–172.4
2041176.2141.4–196.3154.4122.9–176.1
2042177.8154–198.5153.3129.7–179
2043179.2150.8–197154.5122.1–180
2044181.1147.3–196.6154126.8–179.4
2045181.3154.5–201.7161.8131.7–180.4
2046180.5150.9–197.8162.9128.6–185.9
2047179.9157–199.8161.7131.5–183.2
2048182.5156.8–206.1161.4133.3–186.4
2049183.7153.2–201.6162.3135.4–184
2050182.2157.1–205161.2137.1–189.8
2051184.4162.8–206.2163.6139.2–191.5
2052183.3150.6–204.6164.7133.3–189.8
2053182.6161.3–207.1161.8138.2–189.6
2054183.7160.1–201.8162.9137.3–188.1
2055188.1161–207.4167.9142.9–190.9
2056187.1166.2–212.2163.5139.2–197
2057188.3166.1–210.6168.9139–197.2
2058183.8153.6–205.4170133.2–193.5
2059189.8162.8–214.4169.8144.6–198.6
2060195.2171.8–213.3171.7145.3–199.5
2061193.2170.2–210.6174.7144.4–195.6
2062189.2162.8–216.9169.4140.6–201.4
2063190.6170.3–212.3171.8142.5–197.1
2064194.3166.7–209.5173.8145.6–197.5
2065188.5166.1–213.4170.6149–196.7
2066190163.9–209.6175147.5–199.6
2067193.4162.7–215.9177.3143–202.3
2068195.7170.3–217.7174.9149.4–204.8
2069198.6169.8–213.6176.4147.6–203.3
2070195.6172.9–215.1174.9147.8–201.1
2071198.4165.6–221.5180.7145.8–205.7
2072193.2169.4–213.2178.4151.9–203.4
2073197.1176.8–218179.8153.3–208.3
2074188.8157.3–218.7177141.3–207.2
2075194.9163.8–216.7181.4144.3–205.7
2076198.6171.6–217.8181.3152.1–207
2077198.5164.2–220184.9149.1–212.6
2078194.7168.5–220.1180.8153.9–211.1
2079198.8169.8–220.4181.4154.7–205
2080199.7163.6–223.7185.8149.1–210.5
2081203174.3–221.5186.4157.9–210.6
2082198173.4–219.6180.9155.5–210.6
2083200173.1–224.7184.7157.6–217.7
2084198.7172–226.8184.9153.4–213.1
2085201.8174.9–225.8186.8155.6–216
2086202.2163–223.8185.5148.2–218.7
2087201.9171.4–222.1185.4149.5–215
2088202.3180.6–223.7181.1156.8–220.8
2089202.5179.1–220.9187.5154.4–213.2
2090207.1176.4–228.1189.9159.1–217.7
2091207.8174.3–230.4189.7159.9–218.4
2092203.6172.6–224.2186156.9–214.8
2093205175.1–224.3187.4163.3–217.7
2094202.5177.9–221.9191.1161.8–215.1
2095203.7178.7–227.8189.1161.1–216.4
2096202.9171–226.4183.6153.9–219.1
2097199179.5–223.5184.4153.3–219.2
2098195.1168.9–226.7189151.4–219.9
2099207.2181.7–229189.5158.6–220.2
2100202.6179.2–221.8186.1159.1–219.1

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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