Afghanistan vs Israel

Afghanistan vs Israel: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 47.2 nights, or 1.93 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Israel: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 47.2 nights, or 1.93 times that in Afghanistan.
AfghanistanIsraelCMIP6 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 Afghanistan at 72.3 nights and Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanIsrael
201450.897.9
201350.698
201250.196.3
201149.996.1
201048.295.5
200948.992.5
200848.894.1
200748.392.7
200648.792
200548.192.3
200447.990.7
200347.293.9
200249.489.5
20014791
200047.989.5
199947.986.2
199846.884.8
199746.884.2
19964583.7
199544.479.3
199444.680.1
199342.471.6
199242.574.9
199145.178.4
199045.580.2
198945.576.9
198844.376.5
198744.575.1
19864478.3
198543.574
198443.469.4
198340.568.9
198243.173.5
198143.873.5
19804375.3
19794468.7
197843.171.6
197741.572.3
197641.673.2
197541.470.9
197441.672.5
197341.771.9
197242.169.9
197140.873.1
197041.671.6
196941.370.6
196840.869.6
196741.566.9
19664168.8
196541.163.5
196441.366.1
196341.870.9
196241.873
196142.671.5
196042.174.9
195941.875
195843.373
195742.274.8
195642.374.3
195541.472.8
195442.571.4
195341.873.7
195242.972
195141.575.1
195042.869.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanIsrael
201552.244.8–59.8105.988.4–122.7
201652.545–59.7104.186.9–120.1
201752.345.8–58.8107.892.2–121.4
20185244.6–59.310993.8–124.2
201953.345.9–60.710989.1–124.5
202054.347.1–61.2111.594.8–123.5
202153.746.7–61.411097.7–128.4
202253.146.2–61.6111.493.6–130.2
202355.646–62.7117.297.9–130.5
20245647.3–64114.5100.4–127.3
202555.947.9–65116.698.3–129.2
202654.945.9–64.5115.9104.9–126.2
202755.948.7–64.2115.699–127.1
20285647.4–64116.3100.2–127.9
202954.747.9–62.5117103.1–129.2
203056.749.3–63.8118.6102.1–131.2
203158.650.2–65.4116.8104.4–132.8
203257.649.8–65.4121.4106.5–134.7
203357.749.1–65.5122.1108.9–134.7
203459.148.6–68.2119.7103.1–133.4
203560.251.4–67.7122.8105.8–138.8
203659.251.7–66.6120.2105.5–136.2
203759.751.1–70121.6106.3–139.4
20386051.9–67.2126.5105.7–142.1
203958.651.3–66127.7110.5–147.1
204059.651.8–68124.2109.7–144.9
20415951.1–68126108.4–141.5
204260.752.4–69.9128.5105.8–144.3
204359.351.2–68.5126.5111.8–144.3
204460.752.6–69.8125.9108.5–142.9
204561.152.7–69.7130.9117.5–148.6
204661.452.3–71.6131114.4–147.2
204762.553.6–71.5132.3116.1–145.4
204863.354.7–72.3129.9118.5–146.9
204962.253.1–71.9127.9108.7–143.9
205063.754.4–73.1133.3114.3–147
205162.853.2–73.2130.3116.7–143.9
205264.254.7–73.4130.3119.9–143.5
205363.354.9–71.6135120.4–149.7
205464.355.6–73.4134.1118.8–149.3
205564.956.7–73.7134.1115.2–150.3
205664.155.8–73.4136110.1–151.1
205765.555.1–75.6132.7110.9–155
205865.256.7–74.7135.7119.1–155.4
205964.556.1–73.6138.8118.5–156.7
206066.855.9–75.6136.1116.3–159.2
206165.857.4–73.2136119–150.7
206266.856.9–77.4139118.7–156
206367.359.1–76.6137.4120.1–151.2
206466.357.6–76.7139.3121–154.3
206567.457.8–78.5139.6122.3–154.3
20666859.4–77.9137.3119.6–153.7
206769.258.5–79.9142.8126–157.8
20686858.5–77.7141.2122.8–156.4
206968.560.5–78.3141.5123.7–157.6
20706859.6–78.7141.8120.5–157.5
207168.458.2–78.9142.9124.3–161.8
207268.558.7–79.3144.3127–158.5
207369.960.2–80.9143.6127.3–159.2
207469.260.9–79.3138.8123–162.2
207568.459.6–81.4138.1120.8–154.6
207669.457.9–81143.2126.8–161.5
207770.158.3–80.8142.8120.5–161.6
207867.958.5–82.4143.6128.2–160.6
207968.757.9–81.2148.6123.7–160.2
208069.459.3–82145.5123.5–163.7
208169.158.1–81.3143.7128.1–161.2
208270.960.1–83145.8129.5–160.6
208370.960.3–82.8149.4126–163.1
208471.760.2–82.3148128.2–164
208570.260.1–85.4149127.9–162.4
208669.660.3–82.9148127.4–167.1
208771.362.8–84.1146.4123.7–165.7
208871.660.7–85.2147.6133.5–165.3
208972.361.4–83.9148.4131.4–169.1
20907160.2–83.4147.6132.4–168.8
209172.261.1–83.3151.9131.7–170.6
209272.261.6–83.3148.2132–167.4
209372.562.6–83.5154.1135.3–172.2
209472.962.2–85.3153.2133.6–170.3
209573.761.1–84.3148.2131.4–164.1
209673.362.9–85.7150.5130.5–172.6
209770.960.6–84.3149.8134.4–172.7
209873.562.2–87.3150.9131.3–170.1
209972.761–84.1149.5129–166.6
210072.360.5–87.4149.4130.1–168.5

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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