Israel vs Lebanon

Israel vs Lebanon: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 27.7 nights in Lebanon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 70.2 nights, or 3.54 times that in Lebanon.

nights a year · CMIP6

Israel vs Lebanon: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 27.7 nights in Lebanon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 70.2 nights, or 3.54 times that in Lebanon.
IsraelLebanonCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Israel has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Israel at 149.4 nights and Lebanon at 72.1 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelLebanon
201497.927.7
20139826.9
201296.327.1
201196.127.2
201095.526.7
200992.526.2
200894.126.7
200792.724.3
20069225.6
200592.324.9
200490.724.2
200393.925.6
200289.524
20019124.5
200089.523.6
199986.224
199884.822.7
199784.222.5
199683.721.1
199579.320.3
199480.121.1
199371.618
199274.918.3
199178.420.2
199080.221.9
198976.919.9
198876.519.9
198775.119.5
198678.320.3
19857418.6
198469.417.9
198368.918.1
198273.518.6
198173.518.4
198075.319.6
197968.717.2
197871.617.7
197772.318.1
197673.218.3
197570.918.2
197472.517.9
197371.918.6
197269.918.5
197173.118.5
197071.617.9
196970.618.9
196869.617.5
196766.917.7
196668.817.7
196563.515.8
196466.117.2
196370.918.7
19627318.4
196171.517.5
196074.919.7
19597519
19587319.5
195774.819.6
195674.319.2
195572.819.2
195471.418
195373.719.7
19527218.8
195175.119.6
195069.517.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelLebanon
2015105.988.4–122.732.224.6–42.8
2016104.186.9–120.130.722.6–42.3
2017107.892.2–121.433.925.9–44.2
201810993.8–124.233.726.3–44
201910989.1–124.534.124.7–43.7
2020111.594.8–123.535.624.5–46.5
202111097.7–128.435.627.3–44.9
2022111.493.6–130.236.525.5–47.2
2023117.297.9–130.537.827.7–47.8
2024114.5100.4–127.339.128.2–52.2
2025116.698.3–129.238.527.1–51.2
2026115.9104.9–126.238.528–49.6
2027115.699–127.139.328.2–50.7
2028116.3100.2–127.939.428.9–49
2029117103.1–129.240.231–52.4
2030118.6102.1–131.240.230.8–52.6
2031116.8104.4–132.839.531.1–52
2032121.4106.5–134.742.833.7–54.1
2033122.1108.9–134.742.132.4–54.4
2034119.7103.1–133.442.130.8–54.3
2035122.8105.8–138.843.932.5–56.8
2036120.2105.5–136.24333.8–55.7
2037121.6106.3–139.446.833.8–57.5
2038126.5105.7–142.144.833.9–58.8
2039127.7110.5–147.14536.3–58.6
2040124.2109.7–144.946.233.9–59.5
2041126108.4–141.547.336–58.9
2042128.5105.8–144.346.133.4–61.5
2043126.5111.8–144.347.937.5–60.5
2044125.9108.5–142.94835.3–63
2045130.9117.5–148.650.738.8–62.2
2046131114.4–147.249.538.6–62.7
2047132.3116.1–145.450.736.4–66.4
2048129.9118.5–146.950.937.8–66.7
2049127.9108.7–143.948.334.9–63.1
2050133.3114.3–14749.939.3–66.7
2051130.3116.7–143.951.240.7–65.5
2052130.3119.9–143.551.940.8–65.1
2053135120.4–149.752.840–67.4
2054134.1118.8–149.353.342.2–68.1
2055134.1115.2–150.353.540.1–69.5
2056136110.1–151.153.337.5–71.6
2057132.7110.9–15552.638.8–69.2
2058135.7119.1–155.455.540–72.5
2059138.8118.5–156.757.840–73.2
2060136.1116.3–159.254.442.7–72.8
2061136119–150.757.240.5–71.5
2062139118.7–15656.939.7–73.2
2063137.4120.1–151.258.839.4–74.6
2064139.3121–154.359.642.9–75.7
2065139.6122.3–154.359.941.7–75.6
2066137.3119.6–153.75739.6–76
2067142.8126–157.860.443.8–79.2
2068141.2122.8–156.461.747.9–78.3
2069141.5123.7–157.659.245.3–72.5
2070141.8120.5–157.562.745.6–78
2071142.9124.3–161.863.744.9–77.7
2072144.3127–158.565.748.4–81.4
2073143.6127.3–159.264.546.3–80.6
2074138.8123–162.260.445.2–78.3
2075138.1120.8–154.662.647.5–76.1
2076143.2126.8–161.565.546–80.7
2077142.8120.5–161.662.446.2–81.7
2078143.6128.2–160.66651.1–79.1
2079148.6123.7–160.270.449.3–87.2
2080145.5123.5–163.767.549.8–84.3
2081143.7128.1–161.26451.1–85.1
2082145.8129.5–160.668.249.2–84.8
2083149.4126–163.167.650.2–86.8
2084148128.2–16469.150.1–84.7
2085149127.9–162.465.753.3–86
2086148127.4–167.169.150.1–87
2087146.4123.7–165.766.352.2–89.5
2088147.6133.5–165.368.253.9–91.3
2089148.4131.4–169.168.252.2–88.5
2090147.6132.4–168.87255.6–88.5
2091151.9131.7–170.670.553.8–89.8
2092148.2132–167.471.149.9–90.5
2093154.1135.3–172.273.854–98.5
2094153.2133.6–170.372.954.1–92
2095148.2131.4–164.172.854.3–92.2
2096150.5130.5–172.671.651.6–93.1
2097149.8134.4–172.77353.6–89.6
2098150.9131.3–170.174.751.9–92.7
2099149.5129–166.672.148.3–88.6
2100149.4130.1–168.572.150.2–91.7

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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