Eritrea vs Sudan

Eritrea vs Sudan: Tropical nights

Tropical nights in 2014: 236.3 nights in Eritrea and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 6.1 nights, or 1.03 times that in Eritrea.

nights a year · CMIP6

Eritrea vs Sudan: Tropical nightsTropical nights in 2014: 236.3 nights in Eritrea and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 6.1 nights, or 1.03 times that in Eritrea.
EritreaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Eritrea at 289.6 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearEritreaSudan
2014236.3242.4
2013237.5240
2012236.3242
2011238.4242.2
2010233.8240.6
2009232.2236.5
2008231.3237.1
2007231.9236
2006229.9235.3
2005228.5233.1
2004228.6233.5
2003230.2235.6
2002229.6234.7
2001229.6235.4
2000225.7230.5
1999225232.1
1998224.3230.2
1997224.5231.1
1996221.6227.3
1995219.6227.8
1994219.8225.3
1993214.3219.1
1992212217.8
1991220.1227.3
1990224.1227.5
1989221.4223
1988217.8223.1
1987216.8224.4
1986221.3226.4
1985214.5222.1
1984217.3220.7
1983212.2217
1982214216.3
1981219.6223.2
1980215.8220
1979216.5218.4
1978212.9218.5
1977216.5219.3
1976214.5220.1
1975209.8215.7
1974213217.5
1973214.7220
1972212.2217.9
1971211.4215.5
1970213.1217
1969211.3213.1
1968210.8214
1967206.9210.3
1966207.9213.3
1965208213.4
1964207.7213.2
1963204.9210.1
1962211.9217
1961215216.9
1960216221.3
1959211.5217.8
1958213.4216.2
1957213.8218.9
1956211.2217.2
1955211.8216.6
1954213.3218.9
1953209.4215.1
1952214.1216.4
1951214218.5
1950209.9214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEritreaSudan
2015242.1223.3–257.3242.3225.3–258.3
2016239.9217.6–255.9241.4223.3–254.1
2017240.5217.7–256.2243.2223–259.1
2018241.6222.4–259.1242.3226.4–258.5
2019240.7216.5–259.9243.1221.7–260.4
2020243224.2–258.8244.9225.9–261.7
2021245.1227.4–259.9245.6229.1–261.5
2022248.8228.6–264249230.9–262.3
2023246.7224.6–263.1247.1226.8–263.1
2024250230.4–264.3251.5232.8–266.1
2025249.5223.9–268.1250.7232.4–265.6
2026248.7223–267.9250230.8–266.6
2027248.1223.1–268.2248.8228.4–265.6
2028250.3225.1–268249232.2–263.1
2029251.3226.8–268.5251.4232.1–266
2030251.3228.3–269.1252235.4–266.7
2031253.2230.5–270.2253.3234.4–268.9
2032254.5232.2–273.2250.4232.3–266.6
2033253.9233.4–270.6254.4235.3–269.4
2034253.2232.9–273.4254.2234.5–269.9
2035256.4233.1–272.6258.3240.2–273.6
2036255.6237.4–271.9252.8235.6–268.6
2037259.4239.5–274.3256.7238.6–271.8
2038259.6240.6–276258.7244.8–272.1
2039259.3236.9–278.2259.5241.2–272.5
2040258.9237.6–278.3256.4236.7–272.3
2041262.2235.6–276.6259.1241.2–274.5
2042260.5237.9–282.9258.7242–274.7
2043261.6236.4–282.9258.1240.3–272.6
2044259.6235.2–282.9257.3238.6–274.7
2045261.4243.5–280.5258.8243.1–276.2
2046265.4241.5–285.5261.1241.7–277.6
2047266.9242.2–284.1261.4244.6–278.4
2048268.2246.5–289.4260.4243.4–279.5
2049267.2245.9–284.9261.9242.6–275.9
2050268247.7–285.7263.5245.4–279
2051267.6249.1–288.1263.6246.6–278.8
2052267.1243.8–291.6263.8248.7–278.3
2053266.7242.7–288.9262.8242.4–279.2
2054270.9250–291.4266.3246.6–282.9
2055271.8248.4–291.5265.6245.9–281.4
2056269246.8–293.3264.1242.6–281.5
2057271.9251.9–292.6266.4247.6–283.4
2058273.1248.5–293.4265.2247.4–280.3
2059276.4256.3–297268.4249.6–285.4
2060274.4254.3–296.3263.6246.7–284.4
2061273.8250.1–292.4266.9250.1–281.9
2062273.1247.6–297.2266.4248.5–285
2063276.6253.2–296.8267.1246.9–283.4
2064274.4252.8–294.9269250.7–284.7
2065276.4254.3–298.3269.8253.9–285.6
2066278.3258.2–298.6271.4251.9–287.3
2067277.4252.3–300.6270.9250–288.4
2068281.8251.5–300.5271.9251.7–289.8
2069278.3257.1–298.4268251.1–286.2
2070278254.1–299.4269252.3–285.8
2071283.5258.5–303.6275.5254.1–290.4
2072284.3258.8–301.3273.3254.2–289.4
2073283.6259.5–302.3271.9250.7–287.6
2074279.8251.9–302.4270.9249–290.1
2075283.1258.1–303.2273.1254–291.9
2076283.6260.9–301.3272.7255.2–290.9
2077284.3261–306.5274.6255.2–292.7
2078286.3261.5–304.3274.3255.6–291.2
2079283.2260.8–303.8272255.2–288.5
2080287.1260.3–305.6276.6256–292.2
2081286.1261.1–305.7275.1254.1–294.8
2082284.1261.9–301.4272.9258.7–288.6
2083284.2263.3–307.9276.5258–291.7
2084287.4261.5–306.2275.4253–294.9
2085286.5265.4–309.8275.3258.6–291.6
2086287.5258.5–312.8276.4256.9–296.6
2087287.2260.7–309.6273.5253.1–293.3
2088286.4260.7–311.3273.6253.7–293.6
2089286.5261.1–306.9276.5256.6–293.4
2090288264.5–310.9276.6256.4–294.6
2091291264.2–313.8277.4256.4–296.6
2092287.4260.6–310.1274.6254.3–294.9
2093287.9269–308.3278261.9–292.1
2094290.2267.9–308.3280.3262.2–294
2095288.9268.4–310.9277.5262.6–294
2096287.3263.8–312.4279.7258.7–297
2097285263.8–308.7276.3254.1–297.6
2098288.6263.8–315.1277.7258.2–295.5
2099288.6265.1–311.8276.8257.2–296.2
2100289.6267.4–314278.6259–294.3

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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