Israel vs Vietnam

Israel vs Vietnam: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 144.7 nights, or 2.48 times that in Israel.

nights a year · CMIP6

Israel vs Vietnam: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 144.7 nights, or 2.48 times that in Israel.
IsraelVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelVietnam
201497.9242.6
201398243.6
201296.3242.4
201196.1241.9
201095.5240.9
200992.5240
200894.1238.7
200792.7238
200692239.1
200592.3238.3
200490.7241.8
200393.9235.9
200289.5236.3
200191241.3
200089.5237
199986.2236
199884.8236.8
199784.2237.1
199683.7231.4
199579.3229.9
199480.1231.2
199371.6225.3
199274.9221.9
199178.4229.8
199080.2233.1
198976.9229.2
198876.5231.7
198775.1230.3
198678.3230.9
198574228
198469.4230.2
198368.9224.9
198273.5227.5
198173.5229.7
198075.3228.1
197968.7228.9
197871.6227.5
197772.3229
197673.2225.8
197570.9225.8
197472.5225.7
197371.9230.3
197269.9225.6
197173.1225.5
197071.6226.1
196970.6227
196869.6227.1
196766.9222.9
196668.8226.8
196563.5225.4
196466.1222.6
196370.9224.3
196273227.8
196171.5229.4
196074.9228.5
195975226.2
195873230.9
195774.8228.4
195674.3228.7
195572.8227.5
195471.4226.3
195373.7228.2
195272228.5
195175.1229.2
195069.5228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelVietnam
2015105.988.4–122.7245.8228.2–261.9
2016104.186.9–120.1243.7226.1–259.4
2017107.892.2–121.4247229.6–260.7
201810993.8–124.2248.3228.8–263.3
201910989.1–124.5248.1229.2–262.8
2020111.594.8–123.5248.8229.6–262.9
202111097.7–128.4251.1233.1–266.7
2022111.493.6–130.2252.4234.3–266.8
2023117.297.9–130.5253.4235.4–266.6
2024114.5100.4–127.3251.3236.7–264.6
2025116.698.3–129.2252.4234.1–266.2
2026115.9104.9–126.2252.8232.9–268.5
2027115.699–127.1253.2237–268.8
2028116.3100.2–127.9254.3237.7–272
2029117103.1–129.2258.1238.5–273.7
2030118.6102.1–131.2256.4240.9–270.1
2031116.8104.4–132.8255.9241.2–270.9
2032121.4106.5–134.7257.4239.1–269.9
2033122.1108.9–134.7258.3241.7–273.2
2034119.7103.1–133.4258.8240.7–275.8
2035122.8105.8–138.8258.6242.5–275.4
2036120.2105.5–136.2258.3239.1–273.8
2037121.6106.3–139.4258.7242.4–272.4
2038126.5105.7–142.1263.4247.6–277.3
2039127.7110.5–147.1260.2243.7–275.9
2040124.2109.7–144.9260.1242.8–274.8
2041126108.4–141.5263.1245.9–279
2042128.5105.8–144.3263.6246.5–279
2043126.5111.8–144.3261.4245.5–279.6
2044125.9108.5–142.9263.2245.2–277.6
2045130.9117.5–148.6265.5249.6–281.4
2046131114.4–147.2264.9246.8–278.1
2047132.3116.1–145.4266.9250.4–282.9
2048129.9118.5–146.9268250.5–283.8
2049127.9108.7–143.9267.8251.2–284.8
2050133.3114.3–147268251.2–283.5
2051130.3116.7–143.9270.9254.3–285.4
2052130.3119.9–143.5268.3253.3–282.8
2053135120.4–149.7268.5250.1–283.2
2054134.1118.8–149.3269.1250.8–283.6
2055134.1115.2–150.3270249.8–284.2
2056136110.1–151.1271.7254.8–290.1
2057132.7110.9–155270253–285.7
2058135.7119.1–155.4270.7252.9–286.5
2059138.8118.5–156.7273257.6–286.6
2060136.1116.3–159.2275.7255.6–290.6
2061136119–150.7273.5254.6–289.5
2062139118.7–156271.4253.1–290.2
2063137.4120.1–151.2272.9252.7–288.1
2064139.3121–154.3273.8254.4–288.1
2065139.6122.3–154.3272255.8–286.3
2066137.3119.6–153.7271.8254.4–287.3
2067142.8126–157.8270.8252.1–287.6
2068141.2122.8–156.4275.6256.9–292.4
2069141.5123.7–157.6276.4258.5–292
2070141.8120.5–157.5274.6257.8–292.8
2071142.9124.3–161.8276.2255.2–294.1
2072144.3127–158.5277256.8–291.4
2073143.6127.3–159.2278.5262.7–293.4
2074138.8123–162.2277.6259.2–295.8
2075138.1120.8–154.6276.4258.7–294.4
2076143.2126.8–161.5279.2258.5–296.6
2077142.8120.5–161.6280264.9–294.7
2078143.6128.2–160.6278.4258.6–295.5
2079148.6123.7–160.2279.3263.4–293.6
2080145.5123.5–163.7280261.4–296.5
2081143.7128.1–161.2280.4261.2–297.9
2082145.8129.5–160.6280.9258.9–296
2083149.4126–163.1278.4261.6–295
2084148128.2–164279257.4–293.8
2085149127.9–162.4281.3265–297.8
2086148127.4–167.1282.3260.2–297.5
2087146.4123.7–165.7281.9261.3–300.7
2088147.6133.5–165.3283.1265.7–301.5
2089148.4131.4–169.1280.8261.2–301.6
2090147.6132.4–168.8280.5264.5–297.6
2091151.9131.7–170.6283.3264.3–298.9
2092148.2132–167.4281.1261.5–299.4
2093154.1135.3–172.2280.5263.4–296.1
2094153.2133.6–170.3283264.5–300
2095148.2131.4–164.1285.5264.5–302.9
2096150.5130.5–172.6281.8264.8–299.8
2097149.8134.4–172.7281.5263.3–299
2098150.9131.3–170.1282.5263.9–301.5
2099149.5129–166.6282.7265.1–298
2100149.4130.1–168.5282.7261–298.2

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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