Ethiopia vs Sudan

Ethiopia vs Sudan: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 97.5 nights, or 1.67 times that in Ethiopia.

nights a year · CMIP6

Ethiopia vs Sudan: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 97.5 nights, or 1.67 times that in Ethiopia.
EthiopiaSudanCMIP6 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 Ethiopia at 201.7 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaSudan
2014144.9242.4
2013145.1240
2012144.4242
2011145.6242.2
2010142.4240.6
2009140.3236.5
2008137.1237.1
2007138.2236
2006138.7235.3
2005138.1233.1
2004139.1233.5
2003138.8235.6
2002137.4234.7
2001139.2235.4
2000135.5230.5
1999132.6232.1
1998132.9230.2
1997132.7231.1
1996129.7227.3
1995127.8227.8
1994126.3225.3
1993122.5219.1
1992119.7217.8
1991129.5227.3
1990132.7227.5
1989129.4223
1988128.2223.1
1987126.4224.4
1986128.1226.4
1985122.8222.1
1984124.8220.7
1983120.6217
1982126.3216.3
1981127223.2
1980124.9220
1979125.1218.4
1978124.7218.5
1977125.8219.3
1976122220.1
1975119.5215.7
1974124217.5
1973125.2220
1972122.3217.9
1971120.6215.5
1970121.3217
1969120.4213.1
1968119.1214
1967118.1210.3
1966119.5213.3
1965117.4213.4
1964116.6213.2
1963115.7210.1
1962121.6217
1961124.2216.9
1960124.5221.3
1959121.6217.8
1958124.1216.2
1957123.2218.9
1956120.9217.2
1955122.8216.6
1954121.6218.9
1953121.2215.1
1952122.8216.4
1951123218.5
1950122214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaSudan
2015146.6129.4–163.9242.3225.3–258.3
2016144.1127–160.6241.4223.3–254.1
2017148.3129.2–164.9243.2223–259.1
2018149.6131.6–166242.3226.4–258.5
2019146.2129.3–166243.1221.7–260.4
2020149.4129.6–168.5244.9225.9–261.7
2021150.7132.1–170245.6229.1–261.5
2022154135.7–171.2249230.9–262.3
2023153.5135.4–171.4247.1226.8–263.1
2024156.5135.9–175.6251.5232.8–266.1
2025154132.6–175.5250.7232.4–265.6
2026153132–175250230.8–266.6
2027154.2134.4–175.3248.8228.4–265.6
2028157.5138.3–177.4249232.2–263.1
2029159.2141.8–176.8251.4232.1–266
2030156.8136.3–175.7252235.4–266.7
2031161.4142.4–179.1253.3234.4–268.9
2032161.7143.1–182.5250.4232.3–266.6
2033161.8140–180.9254.4235.3–269.4
2034158.8141.5–184.3254.2234.5–269.9
2035162141.7–184.2258.3240.2–273.6
2036160.5143.6–179.4252.8235.6–268.6
2037165145.8–184.5256.7238.6–271.8
2038167.1146.5–186.7258.7244.8–272.1
2039164.5143.9–186259.5241.2–272.5
2040165.9146.2–190.1256.4236.7–272.3
2041167.9146.3–189.3259.1241.2–274.5
2042167.7146–194.3258.7242–274.7
2043167.3145.5–190.8258.1240.3–272.6
2044168.2148.2–189.9257.3238.6–274.7
2045170.7149.1–192.3258.8243.1–276.2
2046175.3150–198.6261.1241.7–277.6
2047176.9151.8–197.5261.4244.6–278.4
2048177.5155.4–199.1260.4243.4–279.5
2049177.5157.9–198.4261.9242.6–275.9
2050176.4153.8–199263.5245.4–279
2051176.6155.3–199.7263.6246.6–278.8
2052177155.6–200.7263.8248.7–278.3
2053176.7154.2–201.6262.8242.4–279.2
2054177.6156.9–201.1266.3246.6–282.9
2055180.6155.2–202.3265.6245.9–281.4
2056177.3155–205.4264.1242.6–281.5
2057180.3159.3–205.5266.4247.6–283.4
2058182.6153.7–209.4265.2247.4–280.3
2059185.7160.1–210.6268.4249.6–285.4
2060185.9160.3–210.4263.6246.7–284.4
2061183.3158.3–211.7266.9250.1–281.9
2062183.8155.4–213266.4248.5–285
2063184.5159.1–208.6267.1246.9–283.4
2064186.7160.6–207.2269250.7–284.7
2065183.7162.4–212.9269.8253.9–285.6
2066187.1165.4–210.1271.4251.9–287.3
2067187.1160.7–214.5270.9250–288.4
2068187.6160.4–215.8271.9251.7–289.8
2069187.8165.4–215.8268251.1–286.2
2070187.9161.6–216.9269252.3–285.8
2071192.7165.2–219.5275.5254.1–290.4
2072193.6167.4–214.5273.3254.2–289.4
2073193.3169.7–218.7271.9250.7–287.6
2074188.5163.9–219270.9249–290.1
2075191.9162.7–218.6273.1254–291.9
2076195166.9–218.9272.7255.2–290.9
2077194.1169.3–223.3274.6255.2–292.7
2078192.1168.4–218.6274.3255.6–291.2
2079193.4166.6–220.9272255.2–288.5
2080196.1169.2–222.4276.6256–292.2
2081194.6171–221.4275.1254.1–294.8
2082195.4168.8–219.9272.9258.7–288.6
2083194.6168.2–228.7276.5258–291.7
2084198.5170.7–224.2275.4253–294.9
2085198.4173.1–226.3275.3258.6–291.6
2086198.6172.3–228.4276.4256.9–296.6
2087199170.6–226.6273.5253.1–293.3
2088199170.7–227.7273.6253.7–293.6
2089198.6171.2–226.2276.5256.6–293.4
2090198.6173.4–227.7276.6256.4–294.6
2091203.6171.9–232.1277.4256.4–296.6
2092200.7172.5–229.7274.6254.3–294.9
2093201.4175.2–228.6278261.9–292.1
2094200.2174–228.9280.3262.2–294
2095203.9175.7–231.9277.5262.6–294
2096199.1170.5–230.8279.7258.7–297
2097198.4171.8–229.3276.3254.1–297.6
2098198.7172.1–231.5277.7258.2–295.5
2099201.8172.8–233.3276.8257.2–296.2
2100201.7175.1–231.8278.6259–294.3

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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