Ethiopia vs Saudi Arabia

Ethiopia vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 36.6 nights, or 1.25 times that in Ethiopia.

nights a year · CMIP6

Ethiopia vs Saudi Arabia: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 36.6 nights, or 1.25 times that in Ethiopia.
EthiopiaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaSaudi Arabia
2014144.9181.5
2013145.1180.4
2012144.4182.8
2011145.6182.7
2010142.4179.2
2009140.3177.1
2008137.1180.3
2007138.2178.9
2006138.7177.5
2005138.1177.9
2004139.1177.6
2003138.8177.4
2002137.4175.6
2001139.2178.1
2000135.5176.4
1999132.6173.2
1998132.9173.4
1997132.7173.8
1996129.7172
1995127.8169.2
1994126.3170.4
1993122.5164.6
1992119.7165.9
1991129.5169.2
1990132.7172.7
1989129.4168.9
1988128.2166.8
1987126.4167.3
1986128.1169.4
1985122.8166
1984124.8165
1983120.6163.5
1982126.3164.7
1981127168.9
1980124.9166.8
1979125.1165.3
1978124.7164.8
1977125.8165.6
1976122165.9
1975119.5161.2
1974124162.9
1973125.2163.7
1972122.3163.7
1971120.6160.4
1970121.3162.5
1969120.4161.3
1968119.1162.7
1967118.1159.5
1966119.5159.5
1965117.4159.5
1964116.6159.9
1963115.7160.2
1962121.6163.2
1961124.2163.7
1960124.5165.7
1959121.6164.4
1958124.1164.1
1957123.2165.5
1956120.9163.6
1955122.8162
1954121.6161.2
1953121.2162.5
1952122.8163.4
1951123161.2
1950122161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaSaudi Arabia
2015146.6129.4–163.9184.9169.4–198.7
2016144.1127–160.6183167.7–195.7
2017148.3129.2–164.9182.6168.1–196.7
2018149.6131.6–166186.8173.1–199.4
2019146.2129.3–166184.1168.8–199.1
2020149.4129.6–168.5185.3171.8–198.9
2021150.7132.1–170188.6173.6–202.8
2022154135.7–171.2187.6170.7–202
2023153.5135.4–171.4188.6173–203.8
2024156.5135.9–175.6187.1172.9–203.9
2025154132.6–175.5191.5176–206.1
2026153132–175191.8177.1–205.5
2027154.2134.4–175.3191.2176.6–206.8
2028157.5138.3–177.4191.9175.5–205.1
2029159.2141.8–176.8192.2176.6–205.7
2030156.8136.3–175.7193.3178.4–206.3
2031161.4142.4–179.1194.7179.1–207.6
2032161.7143.1–182.5192.2175.2–206
2033161.8140–180.9192.6177.5–206.9
2034158.8141.5–184.3196.7181.6–213
2035162141.7–184.2196.5179.9–211.6
2036160.5143.6–179.4194.1180–209.7
2037165145.8–184.5197183.7–209.9
2038167.1146.5–186.7198.4182.3–213.3
2039164.5143.9–186198184.4–213.6
2040165.9146.2–190.1199.2182.1–212.7
2041167.9146.3–189.3197.7181.4–211.7
2042167.7146–194.3198.3181.2–217
2043167.3145.5–190.8198.2182.3–215.3
2044168.2148.2–189.9199.2185.5–213.5
2045170.7149.1–192.3202187.1–216.8
2046175.3150–198.6204.1185.3–219.4
2047176.9151.8–197.5204.1187.4–220
2048177.5155.4–199.1206.1190.7–220
2049177.5157.9–198.4201.6187.7–216.2
2050176.4153.8–199205.7190.2–219.3
2051176.6155.3–199.7204.3188.8–222.1
2052177155.6–200.7203.8189.6–218
2053176.7154.2–201.6203.8186.3–218.8
2054177.6156.9–201.1207.6188.3–222.3
2055180.6155.2–202.3207.8190.8–221
2056177.3155–205.4203.7186.6–220.1
2057180.3159.3–205.5207.5188.8–224.2
2058182.6153.7–209.4205.9189.2–221.4
2059185.7160.1–210.6207.3191.6–226.9
2060185.9160.3–210.4206.9192.7–222.8
2061183.3158.3–211.7206.5190.4–220.9
2062183.8155.4–213208.1189.4–228.3
2063184.5159.1–208.6210.4193–227.1
2064186.7160.6–207.2207.5191.9–223.3
2065183.7162.4–212.9208.9193.9–226.1
2066187.1165.4–210.1210.3194.9–228
2067187.1160.7–214.5210.9193.1–228.6
2068187.6160.4–215.8209.8194.6–228.6
2069187.8165.4–215.8208.9194.5–226.3
2070187.9161.6–216.9211.2191.2–229
2071192.7165.2–219.5215.1196.3–233.3
2072193.6167.4–214.5213.6195.3–229.3
2073193.3169.7–218.7213.7194.1–231.6
2074188.5163.9–219210.5191.9–229.3
2075191.9162.7–218.6212.1196.6–231.8
2076195166.9–218.9212.8194.8–230.3
2077194.1169.3–223.3215.1196.6–233.9
2078192.1168.4–218.6215.5197.6–230.7
2079193.4166.6–220.9213.6197–229
2080196.1169.2–222.4213.6197.1–233.9
2081194.6171–221.4214.7194.4–231.6
2082195.4168.8–219.9214198.9–230.9
2083194.6168.2–228.7214.2198.5–238
2084198.5170.7–224.2217.4197.4–233.1
2085198.4173.1–226.3217.4199.6–237.9
2086198.6172.3–228.4217197.4–237.4
2087199170.6–226.6217.3199.7–238.7
2088199170.7–227.7216.1198.2–243.1
2089198.6171.2–226.2217.6199.5–239
2090198.6173.4–227.7217.3198.5–239.2
2091203.6171.9–232.1218.5202.8–238.4
2092200.7172.5–229.7218.5198.5–241.6
2093201.4175.2–228.6216.6197.8–236.3
2094200.2174–228.9218.8202–236.9
2095203.9175.7–231.9219.4204.2–237.4
2096199.1170.5–230.8219.9197.7–239.6
2097198.4171.8–229.3216.7196.8–239.7
2098198.7172.1–231.5219.7199.6–241.3
2099201.8172.8–233.3216.8200.8–236.8
2100201.7175.1–231.8218.7202.3–241

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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