Afghanistan vs Turkmenistan

Afghanistan vs Turkmenistan: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 93.3 nights in Turkmenistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Turkmenistan, by 42.6 nights, or 1.84 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Turkmenistan: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 93.3 nights in Turkmenistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Turkmenistan, by 42.6 nights, or 1.84 times that in Afghanistan.
AfghanistanTurkmenistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Turkmenistan 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 Turkmenistan at 123.4 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanTurkmenistan
201450.893.3
201350.692.7
201250.191.5
201149.989.1
201048.287.4
200948.990.4
200848.888.7
200748.389.8
200648.791.4
200548.187.2
200447.988.6
200347.287.4
200249.490.3
20014788.4
200047.985.4
199947.985.3
199846.886
199746.886.4
19964582.9
199544.481.6
199444.679.9
199342.474.7
199242.575.9
199145.181.8
199045.581.2
198945.580.9
198844.380.8
198744.579.7
19864476.9
198543.581.1
198443.477.2
198340.570.8
198243.179
198143.877.5
19804376.7
19794480.1
197843.177.1
197741.575.9
197641.674.7
197541.474.8
197441.673.6
197341.775.3
197242.175.6
197140.872.7
197041.674.2
196941.375.3
196840.873.2
196741.574.4
19664174.6
196541.173.1
196441.375.4
196341.874.7
196241.876.9
196142.676.1
196042.173.2
195941.875.2
195843.381.9
195742.276.6
195642.377
195541.475.2
195442.579.1
195341.874
195242.977.1
195141.575.7
195042.877.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanTurkmenistan
201552.244.8–59.893.981.5–108.7
201652.545–59.793.481.1–108.3
201752.345.8–58.895.280.7–105.1
20185244.6–59.394.681.1–108.5
201953.345.9–60.796.183.3–108.3
202054.347.1–61.297.584.6–110.3
202153.746.7–61.498.487.5–108
202253.146.2–61.697.284.1–108.3
202355.646–62.710085.3–110.1
20245647.3–64100.185.6–111.4
202555.947.9–65100.788.4–112.2
202654.945.9–64.598.887.1–111.2
202755.948.7–64.2101.188.6–116
20285647.4–64100.189.1–111.8
202954.747.9–62.5100.785.9–112.9
203056.749.3–63.8101.390–111.1
203158.650.2–65.4103.491.2–113.9
203257.649.8–65.4104.991.4–116.6
203357.749.1–65.5103.188.1–115.3
203459.148.6–68.2101.286.4–115.9
203560.251.4–67.7105.891.6–116.5
203659.251.7–66.6104.292.7–118.2
203759.751.1–70105.993.3–118.2
20386051.9–67.2106.495.2–117
203958.651.3–6610289.8–112.2
204059.651.8–68107.790–117.9
20415951.1–68106.893.1–117.7
204260.752.4–69.9105.293–118.1
204359.351.2–68.5105.890.5–116.6
204460.752.6–69.8107.795–120.8
204561.152.7–69.7108.191.8–119.5
204661.452.3–71.6109.493.3–122.1
204762.553.6–71.5108.994.6–122
204863.354.7–72.3110.799.4–120.9
204962.253.1–71.9108.897.1–120.8
205063.754.4–73.1110.898.7–122.9
205162.853.2–73.2109.997.7–119.6
205264.254.7–73.4111.297.7–122.2
205363.354.9–71.6110.598.2–121.7
205464.355.6–73.4112.5100.2–123.3
205564.956.7–73.7111.8100.8–123.7
205664.155.8–73.4114101.6–125.2
205765.555.1–75.6113.598.9–125.3
205865.256.7–74.7111.999.1–124.1
205964.556.1–73.6112.9100.1–123.1
206066.855.9–75.6116.1102.3–128.1
206165.857.4–73.2112.898.8–123.9
206266.856.9–77.4115.4100.9–128.7
206367.359.1–76.6115102.5–128.4
206466.357.6–76.7111.299.7–125.6
206567.457.8–78.5117102.7–130.4
20666859.4–77.9116.1103.6–127.8
206769.258.5–79.9117.9101.2–132.6
20686858.5–77.7115.7104.8–126.9
206968.560.5–78.3117.4103.3–132.4
20706859.6–78.7114102.7–127.9
207168.458.2–78.9114.7102.5–127.8
207268.558.7–79.3116.5100–131.3
207369.960.2–80.9116.8102.9–132.7
207469.260.9–79.3117.9105.4–130.7
207568.459.6–81.4116.5103.6–130.2
207669.457.9–81117.5100–132.4
207770.158.3–80.8118.3101–132.2
207867.958.5–82.4118.3102.7–132.7
207968.757.9–81.2115.8103.3–131.5
208069.459.3–82117.4103.8–133.7
208169.158.1–81.3117.3103.4–130.7
208270.960.1–83120.1106.1–131.6
208370.960.3–82.8121.9106.8–134.7
208471.760.2–82.3118.8102–134.2
208570.260.1–85.4116.3104.3–136.1
208669.660.3–82.9117.8104.4–134.2
208771.362.8–84.1121.6107.7–135
208871.660.7–85.2119.5103.8–136.4
208972.361.4–83.9120.3105.1–135.4
20907160.2–83.4119.4104.3–138.7
209172.261.1–83.3121.9104.2–138.7
209272.261.6–83.3122.4106.6–135.9
209372.562.6–83.5121.9104.5–134.7
209472.962.2–85.3123.5107.7–140.4
209573.761.1–84.3123.7106.6–135.4
209673.362.9–85.7123110.5–139
209770.960.6–84.3121.5105.9–137.1
209873.562.2–87.3124.1108.5–138.7
209972.761–84.1123.5110.4–137.4
210072.360.5–87.4123.4108.1–141.6

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 Turkmenistan

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