Kazakhstan vs Turkmenistan

Kazakhstan vs Turkmenistan: Tropical nights

Tropical nights in 2014: 22.4 nights in Kazakhstan and 93.3 nights in Turkmenistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Turkmenistan, by 71 nights, or 4.17 times that in Kazakhstan.

nights a year · CMIP6

Kazakhstan vs Turkmenistan: Tropical nightsTropical nights in 2014: 22.4 nights in Kazakhstan and 93.3 nights in Turkmenistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Turkmenistan, by 71 nights, or 4.17 times that in Kazakhstan.
KazakhstanTurkmenistanCMIP6 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 Kazakhstan at 47.9 nights and Turkmenistan at 123.4 nights in 2100.

Every year

nights a year · CMIP6

YearKazakhstanTurkmenistan
201422.493.3
201321.392.7
201221.791.5
201119.689.1
201018.787.4
20092090.4
200820.288.7
200719.989.8
200619.291.4
200519.487.2
20041888.6
200318.987.4
200219.590.3
200118.188.4
200017.285.4
199917.485.3
199816.986
199718.386.4
199615.782.9
19951581.6
199414.779.9
199312.374.7
199212.375.9
19911581.8
19901681.2
198914.180.9
19881480.8
19871579.7
198612.976.9
198514.681.1
198412.177.2
19839.970.8
198214.179
198114.177.5
198012.776.7
197913.580.1
19781277.1
197713.375.9
197612.574.7
197512.174.8
197411.973.6
197311.775.3
197212.375.6
197112.172.7
197011.774.2
196911.975.3
196812.273.2
196711.774.4
196611.974.6
196511.373.1
196410.975.4
196312.274.7
196212.476.9
196112.176.1
196012.273.2
195912.575.2
195813.981.9
19571476.6
195612.977
195512.575.2
195413.179.1
195312.474
195213.577.1
195112.775.7
195013.777.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKazakhstanTurkmenistan
201525.415.1–35.893.981.5–108.7
201622.815–34.393.481.1–108.3
201723.214.5–3295.280.7–105.1
201824.314.7–35.894.681.1–108.5
201924.115.9–33.996.183.3–108.3
202023.115.4–32.597.584.6–110.3
202123.315–32.498.487.5–108
202225.216.7–34.997.284.1–108.3
202325.516.4–35.310085.3–110.1
202425.515.5–35.1100.185.6–111.4
202526.218.1–35.9100.788.4–112.2
202625.617.5–35.398.887.1–111.2
20272718.5–38101.188.6–116
202827.818.2–38.7100.189.1–111.8
202925.516.8–38.6100.785.9–112.9
203027.616.5–38.2101.390–111.1
203130.420.5–40.9103.491.2–113.9
203230.320.4–40.3104.991.4–116.6
203329.120.2–40.7103.188.1–115.3
20342817.6–39.7101.286.4–115.9
203530.719.3–42.8105.891.6–116.5
203630.520.6–41.5104.292.7–118.2
203729.120.2–39.5105.993.3–118.2
203831.420.5–42.6106.495.2–117
20393020.9–42.710289.8–112.2
204032.719.8–42.5107.790–117.9
204132.421.8–46.2106.893.1–117.7
204232.220.2–45.8105.293–118.1
204331.922.5–42.3105.890.5–116.6
204433.620.2–45107.795–120.8
204532.221.7–44.6108.191.8–119.5
204634.423.3–48.5109.493.3–122.1
204734.621.7–48.7108.994.6–122
20483520.9–46110.799.4–120.9
204935.624.5–47.8108.897.1–120.8
205037.324.5–48.4110.898.7–122.9
205135.523.6–49.7109.997.7–119.6
205235.522.7–47.2111.297.7–122.2
205336.123–48.3110.598.2–121.7
205434.822.6–49.1112.5100.2–123.3
20553625.6–48.9111.8100.8–123.7
205637.725.6–50.3114101.6–125.2
205739.226.6–51.3113.598.9–125.3
205835.323.7–51.2111.999.1–124.1
205938.426.6–54.2112.9100.1–123.1
206039.626.9–52.2116.1102.3–128.1
206137.926.2–51.3112.898.8–123.9
206237.924.7–54.3115.4100.9–128.7
206339.825.5–54.5115102.5–128.4
206437.222.3–54.8111.299.7–125.6
206541.928.2–55.4117102.7–130.4
206638.826.8–53116.1103.6–127.8
206738.325.1–54.2117.9101.2–132.6
206842.427.4–55.9115.7104.8–126.9
20694128.5–57117.4103.3–132.4
207040.328.2–55.9114102.7–127.9
207142.128.7–57.3114.7102.5–127.8
207241.429.5–55.6116.5100–131.3
207340.926.9–59.4116.8102.9–132.7
207443.929–60.2117.9105.4–130.7
207542.929.1–58.3116.5103.6–130.2
207641.328–54.9117.5100–132.4
207742.429.5–58.4118.3101–132.2
207843.930.9–56.8118.3102.7–132.7
207943.528.7–57.6115.8103.3–131.5
208041.827.4–57.2117.4103.8–133.7
208142.629.1–56.8117.3103.4–130.7
208244.427.6–57.3120.1106.1–131.6
208344.531.7–60.4121.9106.8–134.7
208441.826.8–58.4118.8102–134.2
208543.828.7–61.5116.3104.3–136.1
208643.228.3–56.5117.8104.4–134.2
208743.529.7–59.3121.6107.7–135
208843.629.7–61.9119.5103.8–136.4
208944.132–59.5120.3105.1–135.4
209045.431.4–62119.4104.3–138.7
209145.630.5–64121.9104.2–138.7
209247.228.9–62.8122.4106.6–135.9
209345.929.9–62.9121.9104.5–134.7
209445.931.4–64.4123.5107.7–140.4
209546.431.4–63.6123.7106.6–135.4
209647.934.2–66.4123110.5–139
209748.633.7–65121.5105.9–137.1
20984832.2–65.5124.1108.5–138.7
209947.130.3–64.2123.5110.4–137.4
210047.933–65.8123.4108.1–141.6

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

Kazakhstan vs Turkmenistan

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