Israel vs South Africa

Israel vs South Africa: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 70.8 nights, or 3.61 times that in South Africa.

nights a year · CMIP6

Israel vs South Africa: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 70.8 nights, or 3.61 times that in South Africa.
IsraelSouth AfricaCMIP6 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 South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelSouth Africa
201497.927.1
20139828.3
201296.327.9
201196.126.1
201095.526
200992.525.8
200894.124.8
200792.724.7
20069225.5
200592.325.3
200490.725.8
200393.925.1
200289.525
20019124.5
200089.523.3
199986.223
199884.823.4
199784.222.5
199683.720.4
199579.319.3
199480.120
199371.618.1
199274.918.1
199178.422.3
199080.222.7
198976.922
198876.521.2
198775.121.9
198678.321
19857418.9
198469.420
198368.919
198273.520.3
198173.520
198075.321.2
197968.719.9
197871.619.8
197772.319.2
197673.219.2
197570.918.8
197472.519.7
197371.919.6
197269.919
197173.119.1
197071.618.6
196970.618.7
196869.617.8
196766.917.5
196668.817.8
196563.517.2
196466.114.9
196370.916.5
19627319.6
196171.519.7
196074.919.8
19597518.5
19587319.3
195774.819.4
195674.318
195572.819.5
195471.418.4
195373.718.4
19527219.3
195175.118.9
195069.518.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelSouth Africa
2015105.988.4–122.728.620–39.5
2016104.186.9–120.126.817.8–37.9
2017107.892.2–121.428.919.6–37.8
201810993.8–124.229.620.6–40.6
201910989.1–124.529.820.8–41.5
2020111.594.8–123.529.518.9–39.1
202111097.7–128.431.121.4–42.9
2022111.493.6–130.23223.7–43.1
2023117.297.9–130.531.922.9–41.8
2024114.5100.4–127.33324–45.6
2025116.698.3–129.231.920.7–44.5
2026115.9104.9–126.234.521.9–46.9
2027115.699–127.134.423–47.7
2028116.3100.2–127.933.522.9–46
2029117103.1–129.236.226.5–48.3
2030118.6102.1–131.236.124.9–49
2031116.8104.4–132.836.324.5–50.3
2032121.4106.5–134.736.424.5–49.2
2033122.1108.9–134.736.924.5–48.3
2034119.7103.1–133.437.626.4–51.8
2035122.8105.8–138.837.625.2–49.5
2036120.2105.5–136.23826.5–50.5
2037121.6106.3–139.439.928.2–53.4
2038126.5105.7–142.141.528.4–54.2
2039127.7110.5–147.139.227–52.9
2040124.2109.7–144.938.125.6–55.6
2041126108.4–141.540.227.4–54.3
2042128.5105.8–144.34229–56.4
2043126.5111.8–144.342.128.2–58.4
2044125.9108.5–142.941.929.5–57.8
2045130.9117.5–148.642.728.2–59
2046131114.4–147.244.130–59.5
2047132.3116.1–145.444.630.7–61.2
2048129.9118.5–146.94531.9–61.5
2049127.9108.7–143.945.632.3–61.4
2050133.3114.3–14746.931–63.6
2051130.3116.7–143.947.532–65
2052130.3119.9–143.548.332.7–64.3
2053135120.4–149.745.733.7–62.1
2054134.1118.8–149.34833.3–64.3
2055134.1115.2–150.346.833–68.4
2056136110.1–151.147.933.2–64.8
2057132.7110.9–15550.232.6–68.9
2058135.7119.1–155.447.934–66.4
2059138.8118.5–156.751.333.1–66.9
2060136.1116.3–159.251.936–69.9
2061136119–150.750.534.8–71.3
2062139118.7–15650.532.7–71
2063137.4120.1–151.250.434.3–69.7
2064139.3121–154.35134.1–67.7
2065139.6122.3–154.350.433.6–70.2
2066137.3119.6–153.75335.7–72.4
2067142.8126–157.850.634.8–70.4
2068141.2122.8–156.454.837.8–72.5
2069141.5123.7–157.654.339.1–73.4
2070141.8120.5–157.554.337.2–73.3
2071142.9124.3–161.855.837.9–76.9
2072144.3127–158.55639.4–78.6
2073143.6127.3–159.260.443.4–80.3
2074138.8123–162.257.439.1–75.3
2075138.1120.8–154.656.137.7–76
2076143.2126.8–161.558.538.4–75.3
2077142.8120.5–161.657.341–80.5
2078143.6128.2–160.65639.5–79
2079148.6123.7–160.257.639.3–78
2080145.5123.5–163.759.540.3–80.9
2081143.7128.1–161.25841.5–79.6
2082145.8129.5–160.658.839.7–77.7
2083149.4126–163.160.839.1–82.9
2084148128.2–16462.540.4–82.9
2085149127.9–162.460.741.3–87.6
2086148127.4–167.160.542.1–83.3
2087146.4123.7–165.757.941–82.9
2088147.6133.5–165.364.243.4–85.3
2089148.4131.4–169.161.541.3–81.2
2090147.6132.4–168.861.641.5–86.8
2091151.9131.7–170.663.341.6–86.3
2092148.2132–167.463.144.9–84.8
2093154.1135.3–172.262.443.2–86.1
2094153.2133.6–170.363.145.6–87.4
2095148.2131.4–164.165.342.6–91.7
2096150.5130.5–172.66142.7–90.1
2097149.8134.4–172.758.841.2–84.6
2098150.9131.3–170.165.143.8–89.8
2099149.5129–166.664.345–87
2100149.4130.1–168.558.742–88.2

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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