Djibouti vs Ethiopia

Djibouti vs Ethiopia: Tropical nights

Tropical nights in 2014: 293.4 nights in Djibouti and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 148.5 nights, or 2.02 times that in Ethiopia.

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nights a year · CMIP6

Djibouti vs Ethiopia: Tropical nightsTropical nights in 2014: 293.4 nights in Djibouti and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 148.5 nights, or 2.02 times that in Ethiopia.
DjiboutiEthiopiaCMIP6 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 346.9 nights and Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearDjiboutiEthiopia
2014293.4144.9
2013296.4145.1
2012294.3144.4
2011298.1145.6
2010289.9142.4
2009290.6140.3
2008289.4137.1
2007288.4138.2
2006289.6138.7
2005286.8138.1
2004286.7139.1
2003289.3138.8
2002286.6137.4
2001285.6139.2
2000282.5135.5
1999278.7132.6
1998278.1132.9
1997281.9132.7
1996277.8129.7
1995275.4127.8
1994274.8126.3
1993276.7122.5
1992271119.7
1991278.5129.5
1990280.9132.7
1989277.5129.4
1988273.9128.2
1987270.7126.4
1986274.9128.1
1985269.9122.8
1984271.4124.8
1983269.3120.6
1982275.2126.3
1981271.2127
1980270.8124.9
1979272.1125.1
1978272.5124.7
1977277.4125.8
1976269.6122
1975266.9119.5
1974267.5124
1973267125.2
1972266.3122.3
1971268.7120.6
1970272.1121.3
1969266.2120.4
1968267.6119.1
1967263.1118.1
1966263.2119.5
1965263.6117.4
1964268116.6
1963263.7115.7
1962265.9121.6
1961272.8124.2
1960273.8124.5
1959267.1121.6
1958272.5124.1
1957268.9123.2
1956269.1120.9
1955271.4122.8
1954269121.6
1953266.7121.2
1952270.8122.8
1951270.6123
1950270.8122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearDjiboutiEthiopia
2015299.3274.4–316.3146.6129.4–163.9
2016298.5270.5–316.5144.1127–160.6
2017299.5269.3–317.1148.3129.2–164.9
2018301.1285–316.6149.6131.6–166
2019295.1275.3–319.8146.2129.3–166
2020298.4277.9–319.3149.4129.6–168.5
2021301277.1–325.6150.7132.1–170
2022309.1280.2–331.2154135.7–171.2
2023306.7285.5–326153.5135.4–171.4
2024306.5286.3–331156.5135.9–175.6
2025306.7276.4–329.6154132.6–175.5
2026307.8278.9–330.9153132–175
2027309.1286.6–334.5154.2134.4–175.3
2028313295.2–337.3157.5138.3–177.4
2029314.6294.8–336.4159.2141.8–176.8
2030309.3281.2–326.3156.8136.3–175.7
2031314.8285.3–332.3161.4142.4–179.1
2032317.1290.4–338.2161.7143.1–182.5
2033311.6285.5–332.4161.8140–180.9
2034307.3287.4–335.2158.8141.5–184.3
2035311.7291.1–333.1162141.7–184.2
2036311.8290.1–333.4160.5143.6–179.4
2037312.9294.8–339.2165145.8–184.5
2038316.5291.2–338.3167.1146.5–186.7
2039315.3286.9–336.4164.5143.9–186
2040317.1296.7–341.3165.9146.2–190.1
2041321.8297.1–337.1167.9146.3–189.3
2042318.4295.6–347.5167.7146–194.3
2043321.6298.6–342.1167.3145.5–190.8
2044317.4296–344.6168.2148.2–189.9
2045321.6295.9–338.6170.7149.1–192.3
2046325.9299.3–347.7175.3150–198.6
2047327.5304.3–348176.9151.8–197.5
2048330.4316.6–349.2177.5155.4–199.1
2049330.6315.4–343.4177.5157.9–198.4
2050326308.8–343.1176.4153.8–199
2051326.3309–341.7176.6155.3–199.7
2052326.3304.4–350.7177155.6–200.7
2053328.4299.8–348.8176.7154.2–201.6
2054329.5306.2–349.6177.6156.9–201.1
2055332310.8–351.2180.6155.2–202.3
2056329.4308.6–350.3177.3155–205.4
2057331.6311.6–348.2180.3159.3–205.5
2058330.3304.2–354.3182.6153.7–209.4
2059337.7317.3–352.1185.7160.1–210.6
2060338.1316.8–354.7185.9160.3–210.4
2061333.4314.9–350.2183.3158.3–211.7
2062331.6309.8–351.8183.8155.4–213
2063337.3310–351.6184.5159.1–208.6
2064336.8315.1–353.3186.7160.6–207.2
2065332.2311.2–353.8183.7162.4–212.9
2066339.8321.6–354.6187.1165.4–210.1
2067339.1312.7–350.6187.1160.7–214.5
2068342308.3–358187.6160.4–215.8
2069341.9320.6–357.3187.8165.4–215.8
2070342.7311.5–355.2187.9161.6–216.9
2071341.9317.5–357.4192.7165.2–219.5
2072342.6316.3–353.8193.6167.4–214.5
2073343.5320.3–358.3193.3169.7–218.7
2074336.5317–353.1188.5163.9–219
2075340.6314.1–356.2191.9162.7–218.6
2076341.8318.1–353.4195166.9–218.9
2077340.8320.8–354.3194.1169.3–223.3
2078341.6321–357.5192.1168.4–218.6
2079340.7320.3–358.1193.4166.6–220.9
2080342322.8–358.5196.1169.2–222.4
2081338.9318.1–357.5194.6171–221.4
2082341317.8–355.8195.4168.8–219.9
2083341.4310.4–358.3194.6168.2–228.7
2084343320.6–357.4198.5170.7–224.2
2085348.7321.3–359.1198.4173.1–226.3
2086348.6326.5–361.3198.6172.3–228.4
2087347.9327.9–358.3199170.6–226.6
2088344.9323–358.9199170.7–227.7
2089349.8321.7–359.8198.6171.2–226.2
2090346.6331.9–359.2198.6173.4–227.7
2091348.5332.1–360.8203.6171.9–232.1
2092350329–360.2200.7172.5–229.7
2093345.2328.1–360.2201.4175.2–228.6
2094345.9320.1–360.2200.2174–228.9
2095348.3328.8–360203.9175.7–231.9
2096348.1323.6–360.9199.1170.5–230.8
2097345.3323.2–357.5198.4171.8–229.3
2098346.6322.3–360.7198.7172.1–231.5
2099346.6323.6–360.4201.8172.8–233.3
2100346.9332.3–359.8201.7175.1–231.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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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