France vs Israel

France vs Israel: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 94.9 nights, or 32 times that in France.

nights a year · CMIP6

France vs Israel: Tropical nightsTropical nights in 2014: 3.1 nights in France and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 94.9 nights, or 32 times that in France.
FranceIsraelCMIP6 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 France at 19.2 nights and Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearFranceIsrael
20143.197.9
20133.198
20122.996.3
20112.796.1
20103.995.5
20092.592.5
20082.494.1
20072.192.7
20062.692
20052.992.3
20042.790.7
20032.693.9
20021.889.5
20012.391
20001.889.5
19992.186.2
19981.584.8
19971.684.2
19961.583.7
19951.379.3
19941.580.1
19931.171.6
1992174.9
19911.878.4
19901.980.2
19891.276.9
19881.276.5
19871.375.1
19860.978.3
19850.974
19841.169.4
19831.168.9
1982173.5
19811.173.5
19801.275.3
19790.968.7
19781.371.6
19770.972.3
19760.873.2
19750.970.9
19741.272.5
19730.971.9
19720.969.9
1971173.1
19700.971.6
1969170.6
19680.969.6
19670.866.9
19660.868.8
19650.763.5
1964166.1
19630.970.9
19621.173
19610.971.5
19601.174.9
19591.275
1958173
1957174.8
19561.274.3
19551.172.8
19541.371.4
1953173.7
19521.372
19511.175.1
19501.269.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceIsrael
20153.61.5–8.6105.988.4–122.7
20164.11.5–9.9104.186.9–120.1
20173.51.3–10.2107.892.2–121.4
20183.91.7–10.810993.8–124.2
20194.51.6–910989.1–124.5
20204.11.6–10.5111.594.8–123.5
20214.51.3–13.211097.7–128.4
202251.5–12.5111.493.6–130.2
20234.81.6–12.5117.297.9–130.5
20245.51.8–11.2114.5100.4–127.3
20255.81.5–12.1116.698.3–129.2
20266.22.1–12.7115.9104.9–126.2
20275.41.7–11.2115.699–127.1
20285.91.7–13.3116.3100.2–127.9
20296.31.9–12.6117103.1–129.2
20305.82.1–11.9118.6102.1–131.2
20315.92–11.8116.8104.4–132.8
20325.92.7–12.9121.4106.5–134.7
203372.5–13.6122.1108.9–134.7
20347.92.4–17.3119.7103.1–133.4
20356.92.4–14.4122.8105.8–138.8
20367.32.6–14.6120.2105.5–136.2
20377.32.6–13.3121.6106.3–139.4
20386.53–15.1126.5105.7–142.1
20396.92.6–14.3127.7110.5–147.1
20407.72.3–16124.2109.7–144.9
20418.12.6–15.2126108.4–141.5
20426.93–16128.5105.8–144.3
20437.92.8–15.6126.5111.8–144.3
20447.93.1–16.6125.9108.5–142.9
20459.23.2–19.6130.9117.5–148.6
20468.93.2–17.6131114.4–147.2
20479.74–19.2132.3116.1–145.4
20489.13.4–17129.9118.5–146.9
204910.13.7–20.8127.9108.7–143.9
205010.94.8–18.9133.3114.3–147
20519.23.5–18.4130.3116.7–143.9
2052103.4–21.2130.3119.9–143.5
20538.73.8–18135120.4–149.7
20549.74.4–19.2134.1118.8–149.3
20559.93.9–17.2134.1115.2–150.3
2056114.3–21.8136110.1–151.1
205710.94.2–19.8132.7110.9–155
205813.85.1–25.7135.7119.1–155.4
205911.23.3–25138.8118.5–156.7
206012.86.1–22136.1116.3–159.2
206112.64.7–23.2136119–150.7
206212.36.2–22.4139118.7–156
2063125.2–24.9137.4120.1–151.2
2064125.3–21.6139.3121–154.3
206512.53.9–30.8139.6122.3–154.3
206611.55.3–22.1137.3119.6–153.7
206718.38.1–33.3142.8126–157.8
2068135.4–23.4141.2122.8–156.4
206915.65.7–25.5141.5123.7–157.6
207013.55.2–29.1141.8120.5–157.5
2071154.4–30.2142.9124.3–161.8
207215.57.4–26144.3127–158.5
207313.96–29.1143.6127.3–159.2
207412.84.3–27.3138.8123–162.2
207513.96.3–25.6138.1120.8–154.6
2076166.1–33.8143.2126.8–161.5
207713.25–29.8142.8120.5–161.6
207813.75.1–33.6143.6128.2–160.6
207912.95.3–28.4148.6123.7–160.2
208014.45.4–27.9145.5123.5–163.7
208115.15.8–29.8143.7128.1–161.2
208216.46.1–33.9145.8129.5–160.6
208315.97.9–32149.4126–163.1
208414.16.6–27.7148128.2–164
208516.57.3–30.2149127.9–162.4
208619.55.5–32.4148127.4–167.1
2087196.9–38146.4123.7–165.7
208818.47.7–35.2147.6133.5–165.3
20891910.6–29.3148.4131.4–169.1
209016.36.8–33.5147.6132.4–168.8
209119.77.6–32.3151.9131.7–170.6
209217.36.1–32.7148.2132–167.4
2093156.5–29.8154.1135.3–172.2
209418.68.5–32.8153.2133.6–170.3
209519.25.9–38.9148.2131.4–164.1
209619.37.6–35.5150.5130.5–172.6
209717.36.2–36.1149.8134.4–172.7
209818.16.9–36.3150.9131.3–170.1
209920.37.4–34.6149.5129–166.6
210019.27–36.7149.4130.1–168.5

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

France vs Israel

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment