Israel vs Morocco

Israel vs Morocco: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 38.3 nights, or 1.64 times that in Morocco.

nights a year · CMIP6

Israel vs Morocco: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 59.6 nights in Morocco, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 38.3 nights, or 1.64 times that in Morocco.
IsraelMoroccoCMIP6 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 Morocco at 103.8 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelMorocco
201497.959.6
20139860.7
201296.358.8
201196.158.4
201095.556.7
200992.558.6
200894.158.5
200792.754.8
20069257.5
200592.356.9
200490.756.1
200393.954.6
200289.555.5
20019156.4
200089.552.8
199986.253.6
199884.851.9
199784.251.2
199683.750.4
199579.348
199480.147.9
199371.644.6
199274.940.6
199178.448.7
199080.252.5
198976.948.3
198876.548.8
198775.147.3
198678.343.6
19857443.5
198469.443.6
198368.942.1
198273.543.7
198173.543.6
198075.342.9
197968.745.9
197871.644
197772.345
197673.240.1
197570.942.5
197472.542
197371.943.5
197269.942.2
197173.140.7
197071.641.3
196970.640.7
196869.642
196766.941.1
196668.840.5
196563.539.4
196466.142.5
196370.941.7
19627343.1
196171.542.7
196074.943
19597543.3
19587342.7
195774.842
195674.343.8
195572.845.5
195471.442.3
195373.742.8
19527243.8
195175.144.1
195069.545.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelMorocco
2015105.988.4–122.762.147.1–77
2016104.186.9–120.162.747.4–77.9
2017107.892.2–121.463.749–78.1
201810993.8–124.264.449.6–80.6
201910989.1–124.567.950.6–82.7
2020111.594.8–123.565.649.2–82
202111097.7–128.466.351–84.5
2022111.493.6–130.270.554.8–87.8
2023117.297.9–130.567.653.2–82.4
2024114.5100.4–127.370.456.5–85.5
2025116.698.3–129.268.652.1–87
2026115.9104.9–126.268.754.7–84.2
2027115.699–127.172.957.6–88.1
2028116.3100.2–127.973.253.6–89.6
2029117103.1–129.270.754.6–90.5
2030118.6102.1–131.271.453.4–86
2031116.8104.4–132.873.354.3–89.9
2032121.4106.5–134.774.160–88.7
2033122.1108.9–134.773.857.6–88.9
2034119.7103.1–133.477.761–94.3
2035122.8105.8–138.875.857.8–92.8
2036120.2105.5–136.275.660.5–91.7
2037121.6106.3–139.476.458–94.8
2038126.5105.7–142.177.962.2–97.3
2039127.7110.5–147.178.262.7–94.7
2040124.2109.7–144.973.957.1–97.5
2041126108.4–141.576.560.4–90.6
2042128.5105.8–144.378.663.1–96.4
2043126.5111.8–144.380.161.4–96.9
2044125.9108.5–142.979.362.3–96.1
2045130.9117.5–148.682.265.9–98.5
2046131114.4–147.282.260.8–98.7
2047132.3116.1–145.483.963.8–101
2048129.9118.5–146.982.667.6–99.2
2049127.9108.7–143.985.366.9–101.9
2050133.3114.3–14785.368.4–104.6
2051130.3116.7–143.984.366.5–103.5
2052130.3119.9–143.586.164.4–105.4
2053135120.4–149.784.165.5–106.1
2054134.1118.8–149.384.764.8–103.4
2055134.1115.2–150.387.769.1–104.2
2056136110.1–151.188.369.2–104.6
2057132.7110.9–1558971.1–108.8
2058135.7119.1–155.487.368.2–106.5
2059138.8118.5–156.787.169.2–108.1
2060136.1116.3–159.290.873.5–108.9
2061136119–150.79274.9–111.9
2062139118.7–15687.868.3–110.2
2063137.4120.1–151.295.174.5–114.4
2064139.3121–154.388.969.9–113.6
2065139.6122.3–154.391.270.6–112.5
2066137.3119.6–153.794.275.6–115.8
2067142.8126–157.891.273.1–113.3
2068141.2122.8–156.493.573.6–114.5
2069141.5123.7–157.695.873.9–113.3
2070141.8120.5–157.59677.9–115.5
2071142.9124.3–161.893.977.5–115.9
2072144.3127–158.595.974.8–115.6
2073143.6127.3–159.296.277.3–119.2
2074138.8123–162.297.377.3–117
2075138.1120.8–154.694.972.5–115.4
2076143.2126.8–161.597.575.2–117.6
2077142.8120.5–161.697.773.1–119.7
2078143.6128.2–160.698.678.4–118.2
2079148.6123.7–160.297.376.8–118.8
2080145.5123.5–163.797.374.3–117.5
2081143.7128.1–161.296.974.9–120.1
2082145.8129.5–160.698.678.3–115.8
2083149.4126–163.1101.378.9–120.3
2084148128.2–16499.577.9–119.5
2085149127.9–162.4100.778.1–126.4
2086148127.4–167.1101.576.9–123.5
2087146.4123.7–165.7101.280.6–126.2
2088147.6133.5–165.3103.379–126
2089148.4131.4–169.1101.581.2–123
2090147.6132.4–168.8102.982.6–122.1
2091151.9131.7–170.6103.378.7–124.2
2092148.2132–167.4101.981.8–120.9
2093154.1135.3–172.2100.480.6–121.2
2094153.2133.6–170.3103.977.9–123.4
2095148.2131.4–164.1103.380.5–126
2096150.5130.5–172.6105.378.9–125.5
2097149.8134.4–172.7104.984–123.6
2098150.9131.3–170.1103.776.7–126.2
2099149.5129–166.6105.283.3–128.4
2100149.4130.1–168.5103.880.4–125.6

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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