Azerbaijan vs Iran

Azerbaijan vs Iran: Tropical nights

Tropical nights in 2014: 41.5 nights in Azerbaijan and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 49.4 nights, or 2.19 times that in Azerbaijan.

nights a year · CMIP6

Azerbaijan vs Iran: Tropical nightsTropical nights in 2014: 41.5 nights in Azerbaijan and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 49.4 nights, or 2.19 times that in Azerbaijan.
AzerbaijanIranCMIP6 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 Azerbaijan at 71.5 nights and Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearAzerbaijanIran
201441.590.8
201341.490.6
201240.990.3
201138.489.8
201038.187
200939.387.2
200837.788
20073787.9
200639.388.2
200538.887.1
200438.686.4
200337.685.9
200238.587.7
200137.586.6
200036.586.5
199935.585.1
199835.183.8
199736.184.3
199633.982.4
199532.881.6
199430.680.6
199328.777.7
199227.777
199131.881.9
199034.783.1
198931.281.7
198831.980.4
198731.479.8
198630.480.1
198532.879.7
198428.378.8
198325.375.5
198230.277.9
198129.880.2
198029.679.4
197930.280.2
197828.378.1
197729.377.8
197629.177.2
197528.576.6
197428.976.4
197328.376.9
197229.777.4
197129.575
197028.375.3
196929.775.6
196830.676.3
196728.476.1
196629.375.5
196527.675.3
196427.675.3
196328.976.4
196228.777.5
196128.777.7
196029.177.6
195930.576.8
195831.678.4
195729.478.2
195629.676.2
195529.876.5
195430.277.6
195330.777.3
195229.178.2
195129.376.6
195030.177.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAzerbaijanIran
201546.835.3–57.194.482.7–106
201644.732.4–54.994.183.1–105.3
201746.234.8–54.593.981.7–104
201845.934–57.494.183–106.3
201945.436.1–5595.183.4–105.8
202047.335.8–56.395.985.5–107.5
202147.336.1–57.297.286–107.7
202247.937.9–58.396.285.2–108.3
20234937.9–60.298.485.7–110.6
202448.437.2–59.49885.1–110.5
202548.939.4–57.498.787.2–110.5
20264939.2–59.399.186.7–111.7
202749.339.8–62.6100.288.7–112.1
202848.339–57.699.686.2–111.6
202949.440.8–60.299.386.7–109.9
203050.238.7–60.4100.889.8–111.6
203151.441.6–62.8102.990.1–114.8
203253.540.9–64.3101.289–113.9
203352.243–62.4102.889.9–115.1
203450.741.1–61.2104.690.7–117.3
203554.643.7–64.210592.1–116.2
203652.843.2–64103.591.4–115.2
203753.943.3–6510693.1–119.4
203856.443.3–67.5105.993.2–116.5
203954.644.8–67.6104.392.9–116.6
204056.342.1–66.6105.592.3–118.4
204154.846.4–65.1104.892.5–116.4
204255.945.2–66.2107.793.4–120.7
204355.747.4–64.810692.9–118.8
20445845.9–70.7106.893.6–121.2
20455846.1–70.3108.795.1–121.8
204659.548.7–70.5109.296.1–121.9
204757.546.3–69.8110.596.9–123.3
20486047–70.8111.498.6–124
204958.649–68.611095.7–123.4
205062.353–70.7112.199.6–125.1
205159.448.9–68.2111.797.6–124.1
205260.849.3–69.911298.3–126
20536151.2–71.4111.597.5–124
205460.147.6–73.1111.899–126.3
205561.951.6–74.2114.6101.4–128
205661.750.9–75.6113.1100.2–126.2
205764.551.8–76.1113.899.9–128.9
205863.751.4–76.4114.2100–127.7
205963.152–76.2113.498.9–126.3
20606351.9–76.4116.3100.3–129.5
206163.949.1–76.8115100.5–127.6
206264.450.4–77115.799.7–131.1
206365.647.3–77.5117103.7–130.3
206463.449.5–77.9115.1101.7–130.3
206567.252.9–80.5117.3102.8–132.3
206664.350.7–77.5117.7103.7–132.1
20676549.3–77.8119103–133.5
206865.651.8–76.9118.1104.3–131.4
206966.752.4–79.9118.4103.8–133.2
207065.953.2–77.8118.2104.9–132.9
207165.654.4–80.2119.3105.1–135.3
207266.653.8–81.3119103.2–135.1
20736952.1–84.4120.6104.9–137.7
207466.455.5–79.4119.1104.4–134.5
207567.453.5–80.9119.7105.9–135.5
207665.554.3–82.5118.9102.6–137
207767.554.9–82.1120.3104.3–135.3
207868.257.6–81119.2105.3–136
207969.555.1–82.3120.1103.2–135.6
208068.656.8–83.5120.4106.1–139.5
208170.255.8–82.6120.5104.3–137.1
208270.357.9–81.1122.5107.5–137.7
208372.157–86.9122.6105.8–140.4
208470.657.9–84.3123.7107.6–139.1
208569.355.2–84.2121.3106.6–140.6
208671.558–83122.1107.9–139.8
208771.256.2–85.4123.7108–140.7
208873.157.1–86.6124106.5–142.2
208970.657–86.3124.1109–139.7
209072.255.3–87.1122.5105.4–141.9
209173.558–89.1124.3108–140.5
209274.558.8–87.4125.5110.1–140
209371.856.4–88.3124.5109–139.3
209474.258.9–90.5125108.7–142.9
209572.756.9–87.5125.3108.5–141
20967458.9–87125.8109–142.4
209774.256.3–89123.6106.9–141.8
209873.155.6–88.5125.8109.4–143.8
209972.156.5–84.7123.1107.8–140.1
210071.557.4–87124.4107.9–143.7

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

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