Israel vs Tunisia

Israel vs Tunisia: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tunisia, by 12.6 nights, or 1.13 times that in Israel.

nights a year · CMIP6

Israel vs Tunisia: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tunisia, by 12.6 nights, or 1.13 times that in Israel.
IsraelTunisiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tunisia 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 Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelTunisia
201497.9110.5
201398110.7
201296.3110
201196.1108.9
201095.5109.6
200992.5106.1
200894.1108.6
200792.7106.6
200692107.6
200592.3105.6
200490.7105
200393.9105.5
200289.5103.8
200191101.8
200089.5104.5
199986.2100.1
199884.8100.1
199784.2100.1
199683.799.1
199579.395.9
199480.195
199371.691.3
199274.989.9
199178.498.2
199080.298.6
198976.994.7
198876.594.2
198775.192.7
198678.393.7
19857490.6
198469.491.8
198368.990
198273.593.9
198173.593.3
198075.392.5
197968.793.8
197871.690.2
197772.388.3
197673.290.5
197570.988.6
197472.588.3
197371.990.5
197269.991
197173.188.8
197071.687.3
196970.690.1
196869.688.9
196766.987.6
196668.887.5
196563.584.5
196466.185.7
196370.988
19627392.7
196171.588.3
196074.990.7
19597592.2
19587391.8
195774.892.3
195674.390
195572.892.7
195471.489.9
195373.789.4
19527291.8
195175.191.6
195069.589.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelTunisia
2015105.988.4–122.7110.796.9–126.1
2016104.186.9–120.1111.596.6–130.1
2017107.892.2–121.4116.5102.4–131.8
201810993.8–124.2115.999.4–131.9
201910989.1–124.5116.598.5–129.5
2020111.594.8–123.5113.899.9–130.1
202111097.7–128.4117.4104.1–129.3
2022111.493.6–130.2119.7103–137.3
2023117.297.9–130.5118.7102.2–131.9
2024114.5100.4–127.3121107.5–132.6
2025116.698.3–129.2120.2100–134
2026115.9104.9–126.2122.1110.1–134.5
2027115.699–127.1119103.6–134.1
2028116.3100.2–127.9121.1104.5–135.4
2029117103.1–129.2121.5110.2–135.8
2030118.6102.1–131.2121.6104–133.4
2031116.8104.4–132.8121.8105.7–134.9
2032121.4106.5–134.7125.2111.6–138.9
2033122.1108.9–134.7124.7107.6–137.5
2034119.7103.1–133.4124.6107–141.7
2035122.8105.8–138.8126.3115.5–142.6
2036120.2105.5–136.2126112.5–141.9
2037121.6106.3–139.4126.5110–140
2038126.5105.7–142.1126.2111.1–139.1
2039127.7110.5–147.1127112.5–142.3
2040124.2109.7–144.9127.5112.8–144.3
2041126108.4–141.5125.5109.1–140.4
2042128.5105.8–144.3129.9114.8–145.8
2043126.5111.8–144.3129.1111.6–142
2044125.9108.5–142.9127.1112.8–141.8
2045130.9117.5–148.6128.5113.8–140.8
2046131114.4–147.2128.3109.9–144
2047132.3116.1–145.4131.2113.6–147.5
2048129.9118.5–146.9129.9114.9–142.3
2049127.9108.7–143.9130115.4–143.5
2050133.3114.3–147132.3117.6–147.6
2051130.3116.7–143.9130.1112.6–148.6
2052130.3119.9–143.5132.7116.8–146.7
2053135120.4–149.7132.5119.5–149.8
2054134.1118.8–149.3135.2118.4–148.8
2055134.1115.2–150.3135.1119.2–151.6
2056136110.1–151.1134.8119.6–149.5
2057132.7110.9–155131.9118.5–148.6
2058135.7119.1–155.4137.8122.5–156.5
2059138.8118.5–156.7134.9117.1–152.5
2060136.1116.3–159.2136.2120.5–150.1
2061136119–150.7139119.4–154
2062139118.7–156134.9119.1–155.9
2063137.4120.1–151.2138.6119.2–152.5
2064139.3121–154.3134.9121.1–152.7
2065139.6122.3–154.3137.1123.3–150.5
2066137.3119.6–153.7136.6119.2–155.1
2067142.8126–157.8138.9124.4–154.3
2068141.2122.8–156.4141.7124.8–159.2
2069141.5123.7–157.6140.3123.5–154.1
2070141.8120.5–157.5137123.6–155.3
2071142.9124.3–161.8140.5123.1–156.1
2072144.3127–158.5142.6128–154.3
2073143.6127.3–159.2139.3124.7–154.6
2074138.8123–162.2140.1123–156.5
2075138.1120.8–154.6139.6124.5–157.1
2076143.2126.8–161.5143.4125.2–158.8
2077142.8120.5–161.6141.3119.1–158.3
2078143.6128.2–160.6143127.2–155.9
2079148.6123.7–160.2144.7123.9–158.5
2080145.5123.5–163.7143.6123.6–158.7
2081143.7128.1–161.2139.9126.3–158.8
2082145.8129.5–160.6145.5125.9–158.1
2083149.4126–163.1143.4124.3–158.7
2084148128.2–164144.8129.6–159.7
2085149127.9–162.4145.3124.7–159.5
2086148127.4–167.1144.7129.5–162.7
2087146.4123.7–165.7144125.7–159.2
2088147.6133.5–165.3147.3127.2–165.4
2089148.4131.4–169.1142.7125.3–164.8
2090147.6132.4–168.8145.2126.3–165.1
2091151.9131.7–170.6144.9127.4–164.4
2092148.2132–167.4148.2126.3–161.1
2093154.1135.3–172.2146.9127.2–165.6
2094153.2133.6–170.3145.7126.8–160.4
2095148.2131.4–164.1145.5125.4–161.5
2096150.5130.5–172.6146.3130–169.4
2097149.8134.4–172.7144.6125.7–160.6
2098150.9131.3–170.1147129.6–161.9
2099149.5129–166.6145.8130.3–163.7
2100149.4130.1–168.5143.8124.8–163.8

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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