Afghanistan vs Iran

Afghanistan vs Iran: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 40.1 nights, or 1.79 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Iran: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 40.1 nights, or 1.79 times that in Afghanistan.
AfghanistanIranCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran 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 Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanIran
201450.890.8
201350.690.6
201250.190.3
201149.989.8
201048.287
200948.987.2
200848.888
200748.387.9
200648.788.2
200548.187.1
200447.986.4
200347.285.9
200249.487.7
20014786.6
200047.986.5
199947.985.1
199846.883.8
199746.884.3
19964582.4
199544.481.6
199444.680.6
199342.477.7
199242.577
199145.181.9
199045.583.1
198945.581.7
198844.380.4
198744.579.8
19864480.1
198543.579.7
198443.478.8
198340.575.5
198243.177.9
198143.880.2
19804379.4
19794480.2
197843.178.1
197741.577.8
197641.677.2
197541.476.6
197441.676.4
197341.776.9
197242.177.4
197140.875
197041.675.3
196941.375.6
196840.876.3
196741.576.1
19664175.5
196541.175.3
196441.375.3
196341.876.4
196241.877.5
196142.677.7
196042.177.6
195941.876.8
195843.378.4
195742.278.2
195642.376.2
195541.476.5
195442.577.6
195341.877.3
195242.978.2
195141.576.6
195042.877.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanIran
201552.244.8–59.894.482.7–106
201652.545–59.794.183.1–105.3
201752.345.8–58.893.981.7–104
20185244.6–59.394.183–106.3
201953.345.9–60.795.183.4–105.8
202054.347.1–61.295.985.5–107.5
202153.746.7–61.497.286–107.7
202253.146.2–61.696.285.2–108.3
202355.646–62.798.485.7–110.6
20245647.3–649885.1–110.5
202555.947.9–6598.787.2–110.5
202654.945.9–64.599.186.7–111.7
202755.948.7–64.2100.288.7–112.1
20285647.4–6499.686.2–111.6
202954.747.9–62.599.386.7–109.9
203056.749.3–63.8100.889.8–111.6
203158.650.2–65.4102.990.1–114.8
203257.649.8–65.4101.289–113.9
203357.749.1–65.5102.889.9–115.1
203459.148.6–68.2104.690.7–117.3
203560.251.4–67.710592.1–116.2
203659.251.7–66.6103.591.4–115.2
203759.751.1–7010693.1–119.4
20386051.9–67.2105.993.2–116.5
203958.651.3–66104.392.9–116.6
204059.651.8–68105.592.3–118.4
20415951.1–68104.892.5–116.4
204260.752.4–69.9107.793.4–120.7
204359.351.2–68.510692.9–118.8
204460.752.6–69.8106.893.6–121.2
204561.152.7–69.7108.795.1–121.8
204661.452.3–71.6109.296.1–121.9
204762.553.6–71.5110.596.9–123.3
204863.354.7–72.3111.498.6–124
204962.253.1–71.911095.7–123.4
205063.754.4–73.1112.199.6–125.1
205162.853.2–73.2111.797.6–124.1
205264.254.7–73.411298.3–126
205363.354.9–71.6111.597.5–124
205464.355.6–73.4111.899–126.3
205564.956.7–73.7114.6101.4–128
205664.155.8–73.4113.1100.2–126.2
205765.555.1–75.6113.899.9–128.9
205865.256.7–74.7114.2100–127.7
205964.556.1–73.6113.498.9–126.3
206066.855.9–75.6116.3100.3–129.5
206165.857.4–73.2115100.5–127.6
206266.856.9–77.4115.799.7–131.1
206367.359.1–76.6117103.7–130.3
206466.357.6–76.7115.1101.7–130.3
206567.457.8–78.5117.3102.8–132.3
20666859.4–77.9117.7103.7–132.1
206769.258.5–79.9119103–133.5
20686858.5–77.7118.1104.3–131.4
206968.560.5–78.3118.4103.8–133.2
20706859.6–78.7118.2104.9–132.9
207168.458.2–78.9119.3105.1–135.3
207268.558.7–79.3119103.2–135.1
207369.960.2–80.9120.6104.9–137.7
207469.260.9–79.3119.1104.4–134.5
207568.459.6–81.4119.7105.9–135.5
207669.457.9–81118.9102.6–137
207770.158.3–80.8120.3104.3–135.3
207867.958.5–82.4119.2105.3–136
207968.757.9–81.2120.1103.2–135.6
208069.459.3–82120.4106.1–139.5
208169.158.1–81.3120.5104.3–137.1
208270.960.1–83122.5107.5–137.7
208370.960.3–82.8122.6105.8–140.4
208471.760.2–82.3123.7107.6–139.1
208570.260.1–85.4121.3106.6–140.6
208669.660.3–82.9122.1107.9–139.8
208771.362.8–84.1123.7108–140.7
208871.660.7–85.2124106.5–142.2
208972.361.4–83.9124.1109–139.7
20907160.2–83.4122.5105.4–141.9
209172.261.1–83.3124.3108–140.5
209272.261.6–83.3125.5110.1–140
209372.562.6–83.5124.5109–139.3
209472.962.2–85.3125108.7–142.9
209573.761.1–84.3125.3108.5–141
209673.362.9–85.7125.8109–142.4
209770.960.6–84.3123.6106.9–141.8
209873.562.2–87.3125.8109.4–143.8
209972.761–84.1123.1107.8–140.1
210072.360.5–87.4124.4107.9–143.7

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

Afghanistan vs Iran

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