Israel vs Sweden

Israel vs Sweden: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 0.1 nights in Sweden, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 97.9 nights, or 2,000 times that in Sweden.

nights a year · CMIP6

Israel vs Sweden: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 0.1 nights in Sweden, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 97.9 nights, or 2,000 times that in Sweden.
IsraelSwedenCMIP6 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 Sweden at 0.7 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelSweden
201497.90.1
2013980.1
201296.30
201196.10
201095.50
200992.50
200894.10
200792.70
2006920
200592.30
200490.70
200393.90
200289.50
2001910
200089.50
199986.20
199884.80
199784.20
199683.70
199579.30
199480.10
199371.60
199274.90
199178.40
199080.20
198976.90
198876.50
198775.10
198678.30
1985740
198469.40
198368.90
198273.50
198173.50
198075.30
197968.70
197871.60
197772.30
197673.20
197570.90
197472.50
197371.90
197269.90
197173.10
197071.60
196970.60
196869.60
196766.90
196668.80
196563.50
196466.10
196370.90
1962730
196171.50
196074.90
1959750
1958730
195774.80
195674.30
195572.80
195471.40
195373.70
1952720
195175.10
195069.50
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelSweden
2015105.988.4–122.70.10–0.3
2016104.186.9–120.100–0.3
2017107.892.2–121.400–0.4
201810993.8–124.200–0.3
201910989.1–124.50.10–0.5
2020111.594.8–123.500–0.3
202111097.7–128.400–0.3
2022111.493.6–130.20.10–0.5
2023117.297.9–130.50.10–0.6
2024114.5100.4–127.300–0.4
2025116.698.3–129.20.10–1
2026115.9104.9–126.20.10–1
2027115.699–127.10.10–0.3
2028116.3100.2–127.90.10–0.6
2029117103.1–129.20.10–0.8
2030118.6102.1–131.20.10–0.5
2031116.8104.4–132.80.10–0.4
2032121.4106.5–134.70.10–0.8
2033122.1108.9–134.70.10–0.8
2034119.7103.1–133.40.10–0.7
2035122.8105.8–138.80.20–0.8
2036120.2105.5–136.20.10–0.8
2037121.6106.3–139.40.10–1
2038126.5105.7–142.10.10–1.2
2039127.7110.5–147.10.10–0.8
2040124.2109.7–144.90.10–0.8
2041126108.4–141.50.10–1.2
2042128.5105.8–144.30.20–1.2
2043126.5111.8–144.30.20–1.1
2044125.9108.5–142.90.10–1.1
2045130.9117.5–148.60.10–0.6
2046131114.4–147.20.20–1.3
2047132.3116.1–145.40.30–2.1
2048129.9118.5–146.90.30–1.8
2049127.9108.7–143.90.20–1.6
2050133.3114.3–1470.20–1.8
2051130.3116.7–143.90.20–1.7
2052130.3119.9–143.50.20–2
2053135120.4–149.70.10–1.3
2054134.1118.8–149.30.20–1.1
2055134.1115.2–150.30.20–1.6
2056136110.1–151.10.20–1.5
2057132.7110.9–1550.20–1.4
2058135.7119.1–155.40.30–2.3
2059138.8118.5–156.70.30–1.7
2060136.1116.3–159.20.20–1.4
2061136119–150.70.40–1.6
2062139118.7–1560.30.1–1.7
2063137.4120.1–151.20.20–2.1
2064139.3121–154.30.20–1.6
2065139.6122.3–154.30.30–3
2066137.3119.6–153.70.20–2.8
2067142.8126–157.80.30–2
2068141.2122.8–156.40.20–1.5
2069141.5123.7–157.60.60.1–3.1
2070141.8120.5–157.50.30–2
2071142.9124.3–161.80.30–2.7
2072144.3127–158.50.20–2
2073143.6127.3–159.20.40–4.6
2074138.8123–162.20.20–2.8
2075138.1120.8–154.60.30–2.9
2076143.2126.8–161.50.40–2.4
2077142.8120.5–161.60.40–2.2
2078143.6128.2–160.60.50–3.1
2079148.6123.7–160.20.40–3.1
2080145.5123.5–163.70.30–2.1
2081143.7128.1–161.20.30–3
2082145.8129.5–160.60.40–4.4
2083149.4126–163.10.50.1–3
2084148128.2–1640.30–2.4
2085149127.9–162.40.40–3.3
2086148127.4–167.10.70–4
2087146.4123.7–165.70.60–6
2088147.6133.5–165.30.50–2.7
2089148.4131.4–169.10.50.1–3.4
2090147.6132.4–168.80.40–2.9
2091151.9131.7–170.60.60–3.9
2092148.2132–167.40.80–4.2
2093154.1135.3–172.20.70.1–4.8
2094153.2133.6–170.30.50–2.6
2095148.2131.4–164.10.50.1–4.3
2096150.5130.5–172.60.50–3.7
2097149.8134.4–172.70.50–4.5
2098150.9131.3–170.10.50.1–3.7
2099149.5129–166.60.30–3.2
2100149.4130.1–168.50.70–4.4

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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