Djibouti vs Eritrea

Djibouti vs Eritrea: Tropical nights

Tropical nights in 2014: 293.4 nights in Djibouti and 236.3 nights in Eritrea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 57.1 nights, or 1.24 times that in Eritrea.

nights a year · CMIP6

Djibouti vs Eritrea: Tropical nightsTropical nights in 2014: 293.4 nights in Djibouti and 236.3 nights in Eritrea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 57.1 nights, or 1.24 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 346.9 nights and Eritrea at 289.6 nights in 2100.

Every year

nights a year · CMIP6

YearDjiboutiEritrea
2014293.4236.3
2013296.4237.5
2012294.3236.3
2011298.1238.4
2010289.9233.8
2009290.6232.2
2008289.4231.3
2007288.4231.9
2006289.6229.9
2005286.8228.5
2004286.7228.6
2003289.3230.2
2002286.6229.6
2001285.6229.6
2000282.5225.7
1999278.7225
1998278.1224.3
1997281.9224.5
1996277.8221.6
1995275.4219.6
1994274.8219.8
1993276.7214.3
1992271212
1991278.5220.1
1990280.9224.1
1989277.5221.4
1988273.9217.8
1987270.7216.8
1986274.9221.3
1985269.9214.5
1984271.4217.3
1983269.3212.2
1982275.2214
1981271.2219.6
1980270.8215.8
1979272.1216.5
1978272.5212.9
1977277.4216.5
1976269.6214.5
1975266.9209.8
1974267.5213
1973267214.7
1972266.3212.2
1971268.7211.4
1970272.1213.1
1969266.2211.3
1968267.6210.8
1967263.1206.9
1966263.2207.9
1965263.6208
1964268207.7
1963263.7204.9
1962265.9211.9
1961272.8215
1960273.8216
1959267.1211.5
1958272.5213.4
1957268.9213.8
1956269.1211.2
1955271.4211.8
1954269213.3
1953266.7209.4
1952270.8214.1
1951270.6214
1950270.8209.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearDjiboutiEritrea
2015299.3274.4–316.3242.1223.3–257.3
2016298.5270.5–316.5239.9217.6–255.9
2017299.5269.3–317.1240.5217.7–256.2
2018301.1285–316.6241.6222.4–259.1
2019295.1275.3–319.8240.7216.5–259.9
2020298.4277.9–319.3243224.2–258.8
2021301277.1–325.6245.1227.4–259.9
2022309.1280.2–331.2248.8228.6–264
2023306.7285.5–326246.7224.6–263.1
2024306.5286.3–331250230.4–264.3
2025306.7276.4–329.6249.5223.9–268.1
2026307.8278.9–330.9248.7223–267.9
2027309.1286.6–334.5248.1223.1–268.2
2028313295.2–337.3250.3225.1–268
2029314.6294.8–336.4251.3226.8–268.5
2030309.3281.2–326.3251.3228.3–269.1
2031314.8285.3–332.3253.2230.5–270.2
2032317.1290.4–338.2254.5232.2–273.2
2033311.6285.5–332.4253.9233.4–270.6
2034307.3287.4–335.2253.2232.9–273.4
2035311.7291.1–333.1256.4233.1–272.6
2036311.8290.1–333.4255.6237.4–271.9
2037312.9294.8–339.2259.4239.5–274.3
2038316.5291.2–338.3259.6240.6–276
2039315.3286.9–336.4259.3236.9–278.2
2040317.1296.7–341.3258.9237.6–278.3
2041321.8297.1–337.1262.2235.6–276.6
2042318.4295.6–347.5260.5237.9–282.9
2043321.6298.6–342.1261.6236.4–282.9
2044317.4296–344.6259.6235.2–282.9
2045321.6295.9–338.6261.4243.5–280.5
2046325.9299.3–347.7265.4241.5–285.5
2047327.5304.3–348266.9242.2–284.1
2048330.4316.6–349.2268.2246.5–289.4
2049330.6315.4–343.4267.2245.9–284.9
2050326308.8–343.1268247.7–285.7
2051326.3309–341.7267.6249.1–288.1
2052326.3304.4–350.7267.1243.8–291.6
2053328.4299.8–348.8266.7242.7–288.9
2054329.5306.2–349.6270.9250–291.4
2055332310.8–351.2271.8248.4–291.5
2056329.4308.6–350.3269246.8–293.3
2057331.6311.6–348.2271.9251.9–292.6
2058330.3304.2–354.3273.1248.5–293.4
2059337.7317.3–352.1276.4256.3–297
2060338.1316.8–354.7274.4254.3–296.3
2061333.4314.9–350.2273.8250.1–292.4
2062331.6309.8–351.8273.1247.6–297.2
2063337.3310–351.6276.6253.2–296.8
2064336.8315.1–353.3274.4252.8–294.9
2065332.2311.2–353.8276.4254.3–298.3
2066339.8321.6–354.6278.3258.2–298.6
2067339.1312.7–350.6277.4252.3–300.6
2068342308.3–358281.8251.5–300.5
2069341.9320.6–357.3278.3257.1–298.4
2070342.7311.5–355.2278254.1–299.4
2071341.9317.5–357.4283.5258.5–303.6
2072342.6316.3–353.8284.3258.8–301.3
2073343.5320.3–358.3283.6259.5–302.3
2074336.5317–353.1279.8251.9–302.4
2075340.6314.1–356.2283.1258.1–303.2
2076341.8318.1–353.4283.6260.9–301.3
2077340.8320.8–354.3284.3261–306.5
2078341.6321–357.5286.3261.5–304.3
2079340.7320.3–358.1283.2260.8–303.8
2080342322.8–358.5287.1260.3–305.6
2081338.9318.1–357.5286.1261.1–305.7
2082341317.8–355.8284.1261.9–301.4
2083341.4310.4–358.3284.2263.3–307.9
2084343320.6–357.4287.4261.5–306.2
2085348.7321.3–359.1286.5265.4–309.8
2086348.6326.5–361.3287.5258.5–312.8
2087347.9327.9–358.3287.2260.7–309.6
2088344.9323–358.9286.4260.7–311.3
2089349.8321.7–359.8286.5261.1–306.9
2090346.6331.9–359.2288264.5–310.9
2091348.5332.1–360.8291264.2–313.8
2092350329–360.2287.4260.6–310.1
2093345.2328.1–360.2287.9269–308.3
2094345.9320.1–360.2290.2267.9–308.3
2095348.3328.8–360288.9268.4–310.9
2096348.1323.6–360.9287.3263.8–312.4
2097345.3323.2–357.5285263.8–308.7
2098346.6322.3–360.7288.6263.8–315.1
2099346.6323.6–360.4288.6265.1–311.8
2100346.9332.3–359.8289.6267.4–314

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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