Ethiopia vs Israel

Ethiopia vs Israel: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 47 nights, or 1.48 times that in Israel.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Israel: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 47 nights, or 1.48 times that in Israel.
EthiopiaIsraelCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaIsrael
2014144.997.9
2013145.198
2012144.496.3
2011145.696.1
2010142.495.5
2009140.392.5
2008137.194.1
2007138.292.7
2006138.792
2005138.192.3
2004139.190.7
2003138.893.9
2002137.489.5
2001139.291
2000135.589.5
1999132.686.2
1998132.984.8
1997132.784.2
1996129.783.7
1995127.879.3
1994126.380.1
1993122.571.6
1992119.774.9
1991129.578.4
1990132.780.2
1989129.476.9
1988128.276.5
1987126.475.1
1986128.178.3
1985122.874
1984124.869.4
1983120.668.9
1982126.373.5
198112773.5
1980124.975.3
1979125.168.7
1978124.771.6
1977125.872.3
197612273.2
1975119.570.9
197412472.5
1973125.271.9
1972122.369.9
1971120.673.1
1970121.371.6
1969120.470.6
1968119.169.6
1967118.166.9
1966119.568.8
1965117.463.5
1964116.666.1
1963115.770.9
1962121.673
1961124.271.5
1960124.574.9
1959121.675
1958124.173
1957123.274.8
1956120.974.3
1955122.872.8
1954121.671.4
1953121.273.7
1952122.872
195112375.1
195012269.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaIsrael
2015146.6129.4–163.9105.988.4–122.7
2016144.1127–160.6104.186.9–120.1
2017148.3129.2–164.9107.892.2–121.4
2018149.6131.6–16610993.8–124.2
2019146.2129.3–16610989.1–124.5
2020149.4129.6–168.5111.594.8–123.5
2021150.7132.1–17011097.7–128.4
2022154135.7–171.2111.493.6–130.2
2023153.5135.4–171.4117.297.9–130.5
2024156.5135.9–175.6114.5100.4–127.3
2025154132.6–175.5116.698.3–129.2
2026153132–175115.9104.9–126.2
2027154.2134.4–175.3115.699–127.1
2028157.5138.3–177.4116.3100.2–127.9
2029159.2141.8–176.8117103.1–129.2
2030156.8136.3–175.7118.6102.1–131.2
2031161.4142.4–179.1116.8104.4–132.8
2032161.7143.1–182.5121.4106.5–134.7
2033161.8140–180.9122.1108.9–134.7
2034158.8141.5–184.3119.7103.1–133.4
2035162141.7–184.2122.8105.8–138.8
2036160.5143.6–179.4120.2105.5–136.2
2037165145.8–184.5121.6106.3–139.4
2038167.1146.5–186.7126.5105.7–142.1
2039164.5143.9–186127.7110.5–147.1
2040165.9146.2–190.1124.2109.7–144.9
2041167.9146.3–189.3126108.4–141.5
2042167.7146–194.3128.5105.8–144.3
2043167.3145.5–190.8126.5111.8–144.3
2044168.2148.2–189.9125.9108.5–142.9
2045170.7149.1–192.3130.9117.5–148.6
2046175.3150–198.6131114.4–147.2
2047176.9151.8–197.5132.3116.1–145.4
2048177.5155.4–199.1129.9118.5–146.9
2049177.5157.9–198.4127.9108.7–143.9
2050176.4153.8–199133.3114.3–147
2051176.6155.3–199.7130.3116.7–143.9
2052177155.6–200.7130.3119.9–143.5
2053176.7154.2–201.6135120.4–149.7
2054177.6156.9–201.1134.1118.8–149.3
2055180.6155.2–202.3134.1115.2–150.3
2056177.3155–205.4136110.1–151.1
2057180.3159.3–205.5132.7110.9–155
2058182.6153.7–209.4135.7119.1–155.4
2059185.7160.1–210.6138.8118.5–156.7
2060185.9160.3–210.4136.1116.3–159.2
2061183.3158.3–211.7136119–150.7
2062183.8155.4–213139118.7–156
2063184.5159.1–208.6137.4120.1–151.2
2064186.7160.6–207.2139.3121–154.3
2065183.7162.4–212.9139.6122.3–154.3
2066187.1165.4–210.1137.3119.6–153.7
2067187.1160.7–214.5142.8126–157.8
2068187.6160.4–215.8141.2122.8–156.4
2069187.8165.4–215.8141.5123.7–157.6
2070187.9161.6–216.9141.8120.5–157.5
2071192.7165.2–219.5142.9124.3–161.8
2072193.6167.4–214.5144.3127–158.5
2073193.3169.7–218.7143.6127.3–159.2
2074188.5163.9–219138.8123–162.2
2075191.9162.7–218.6138.1120.8–154.6
2076195166.9–218.9143.2126.8–161.5
2077194.1169.3–223.3142.8120.5–161.6
2078192.1168.4–218.6143.6128.2–160.6
2079193.4166.6–220.9148.6123.7–160.2
2080196.1169.2–222.4145.5123.5–163.7
2081194.6171–221.4143.7128.1–161.2
2082195.4168.8–219.9145.8129.5–160.6
2083194.6168.2–228.7149.4126–163.1
2084198.5170.7–224.2148128.2–164
2085198.4173.1–226.3149127.9–162.4
2086198.6172.3–228.4148127.4–167.1
2087199170.6–226.6146.4123.7–165.7
2088199170.7–227.7147.6133.5–165.3
2089198.6171.2–226.2148.4131.4–169.1
2090198.6173.4–227.7147.6132.4–168.8
2091203.6171.9–232.1151.9131.7–170.6
2092200.7172.5–229.7148.2132–167.4
2093201.4175.2–228.6154.1135.3–172.2
2094200.2174–228.9153.2133.6–170.3
2095203.9175.7–231.9148.2131.4–164.1
2096199.1170.5–230.8150.5130.5–172.6
2097198.4171.8–229.3149.8134.4–172.7
2098198.7172.1–231.5150.9131.3–170.1
2099201.8172.8–233.3149.5129–166.6
2100201.7175.1–231.8149.4130.1–168.5

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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