Argentina vs Israel

Argentina vs Israel: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 55.3 nights, or 2.3 times that in Argentina.

nights a year · CMIP6

Argentina vs Israel: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 55.3 nights, or 2.3 times that in Argentina.
ArgentinaIsraelCMIP6 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 Argentina at 65.2 nights and Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaIsrael
201442.697.9
201341.898
20124196.3
201141.596.1
201040.895.5
200941.692.5
200841.494.1
200739.692.7
200639.392
200540.192.3
200440.690.7
200338.793.9
200240.289.5
200139.591
200039.589.5
199938.486.2
199838.884.8
199738.584.2
19963783.7
199535.779.3
199434.780.1
199334.371.6
199233.474.9
199136.878.4
19903680.2
19893776.9
198836.976.5
198736.175.1
198636.478.3
19853674
198434.769.4
198335.268.9
198235.773.5
198137.373.5
198036.375.3
197937.568.7
197835.771.6
197735.172.3
197635.773.2
197534.870.9
197435.472.5
197334.171.9
197235.569.9
197134.773.1
197034.971.6
196933.470.6
196834.669.6
19673366.9
196634.368.8
196532.263.5
196430.366.1
19633270.9
196235.273
196135.671.5
196035.674.9
195934.575
195833.373
195735.774.8
19563574.3
195534.472.8
195433.671.4
195335.873.7
195234.472
195135.475.1
195033.969.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaIsrael
201544.433.5–53.4105.988.4–122.7
201643.532.4–53.4104.186.9–120.1
201742.834.2–52.6107.892.2–121.4
201842.632.7–52.610993.8–124.2
201943.633.4–53.110989.1–124.5
202045.735.5–57.2111.594.8–123.5
202145.634.3–56.411097.7–128.4
202244.633.3–56.4111.493.6–130.2
202344.934.9–53.9117.297.9–130.5
202445.834.2–57.5114.5100.4–127.3
202546.536–58.1116.698.3–129.2
202647.936.7–57115.9104.9–126.2
202746.434.5–56.3115.699–127.1
202846.133.5–58.5116.3100.2–127.9
202948.336–58.8117103.1–129.2
203047.835.4–60.3118.6102.1–131.2
203146.935.5–58.7116.8104.4–132.8
20324837.9–59.7121.4106.5–134.7
203347.436.7–57.6122.1108.9–134.7
203447.837.8–58.9119.7103.1–133.4
203547.339–59122.8105.8–138.8
203648.939.2–58.4120.2105.5–136.2
20375141.2–60.9121.6106.3–139.4
203848.737.9–59.7126.5105.7–142.1
203948.839.1–58.4127.7110.5–147.1
204050.440.4–62.3124.2109.7–144.9
204150.740.4–61.7126108.4–141.5
20425037.3–61.1128.5105.8–144.3
204350.340.5–61126.5111.8–144.3
20445240–65125.9108.5–142.9
204552.441.3–65.6130.9117.5–148.6
204651.941.2–62.7131114.4–147.2
204751.542–64132.3116.1–145.4
204854.542.6–65129.9118.5–146.9
204953.942.8–64.9127.9108.7–143.9
205052.543.6–62.4133.3114.3–147
205155.743.3–67.4130.3116.7–143.9
205255.642.2–67130.3119.9–143.5
205355.342.6–67.6135120.4–149.7
205454.743–66.7134.1118.8–149.3
205555.942.3–67.2134.1115.2–150.3
205657.642.8–68.6136110.1–151.1
205756.842.3–68.7132.7110.9–155
205854.841.5–68.1135.7119.1–155.4
205957.844.9–70.3138.8118.5–156.7
206056.943.4–67.9136.1116.3–159.2
206156.542.3–70.6136119–150.7
206257.345.8–68.5139118.7–156
206358.244.6–70.2137.4120.1–151.2
206458.845.8–71.5139.3121–154.3
206558.746–71.1139.6122.3–154.3
206659.947–68.9137.3119.6–153.7
206758.944.8–71.5142.8126–157.8
206857.844.3–70.3141.2122.8–156.4
206959.445.4–70.5141.5123.7–157.6
207061.348.2–74.3141.8120.5–157.5
207160.148.7–73.2142.9124.3–161.8
207260.146.7–73.7144.3127–158.5
207360.847.6–73.5143.6127.3–159.2
207460.447.6–73.7138.8123–162.2
207561.347.9–73.9138.1120.8–154.6
207661.146.8–75.8143.2126.8–161.5
207760.647.1–73.1142.8120.5–161.6
207863.449.4–75.6143.6128.2–160.6
207959.948.7–73148.6123.7–160.2
20806348.1–75.5145.5123.5–163.7
208161.448.7–73.5143.7128.1–161.2
208261.747.7–75145.8129.5–160.6
208362.148.2–75.6149.4126–163.1
208462.950.3–76148128.2–164
20856246.9–76.4149127.9–162.4
208662.749.4–76.4148127.4–167.1
208761.847.9–74.9146.4123.7–165.7
208864.450.8–77.5147.6133.5–165.3
208962.749.3–76.3148.4131.4–169.1
209064.152.5–77.1147.6132.4–168.8
209164.451.7–78.3151.9131.7–170.6
209265.650.8–78.3148.2132–167.4
209362.749.7–76.8154.1135.3–172.2
209463.950.1–78.5153.2133.6–170.3
209562.948.8–77.9148.2131.4–164.1
209664.749.4–78.9150.5130.5–172.6
209764.552.4–80.1149.8134.4–172.7
209865.652.7–78.7150.9131.3–170.1
209965.249.3–80.2149.5129–166.6
210065.250–81.7149.4130.1–168.5

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

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