• KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
  • KZT/USD = 0.00215
  • TJS/USD = 0.10810
  • UZS/USD = 0.00008
  • TMT/USD = 0.29850
13 August 2026

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Kazakhstan Seeds Clouds as Kyrgyzstan Questions Regional Impact

A small aircraft climbed out of Turkestan airport on July 10 with hygroscopic salt flares fixed beneath its wings. Operated by the United Arab Emirates’ National Center of Meteorology, it was searching for a cloud suitable for seeding. Pilot Ahmed Aljaberi described the aircraft as “specifically equipped with a cloud-seeding flare system.” But no suitable cloud appeared during the mission. Cloud seeding can try to draw more rain from an existing cloud, but it cannot make one from clear air. Kazakhstan launched the project in Turkestan on May 16, targeting more than 911,000 hectares of arable land in the country’s leading cotton-belt. The government puts the potential economic benefit at up to 35 billion tenge, roughly $75 million a year. The partnership gives Kazakhstan access to decades of Emirati experience in weather modification. The UAE program dates to the late 1980s, and Emirati specialists are training Kazakh meteorologists, pilots, engineers, and other staff. Kazakhstan’s government describes the Turkestan operation as the first project of its scale in the region, though weather modification in Central Asia has a longer history. Kochkunbek Bakirov, a geographer at Kyrgyzstan’s National Academy of Sciences, has described Soviet-era research in the Karshi steppe, the Naryn basin, and over Issyk-Kul. Kazakhstan also trialed a different approach in Mangystau in 2021, using an ionization-based system promoted as a way to increase rainfall. Its developer claimed the equipment had begun to influence local moisture. The Mangystau system used ionization; the current program uses aircraft and hygroscopic salt flares. Before operations began, Kazhydromet analyzed data from 39 meteorological stations covering 2020 through 2024, selecting the Turkestan Region after studying atmospheric conditions and terrain. Flights only proceed when naturally formed cumulonimbus clouds with sufficient vertical development are present, with Kazhydromet monitoring satellite imagery, synoptic data, and cloud development before operations. The aircraft releases salt-based particles into suitable clouds. Kazakhstan’s Ecology Ministry lists sodium chloride, potassium chloride, and magnesium compounds among the reagents. In hygroscopic seeding, the particles encourage liquid droplets to collide and coalesce, which can improve precipitation efficiency in a suitable cloud. The cloud and its moisture must already exist. By July 13, crews had completed eleven operational flights, mainly over the Otyrar and Sozak districts. Officials were still analyzing the results of each operation; the number of flights does not show how much extra rain the project has produced. Kazakhstan’s launch materials cite a possible 10 to 20% increase in precipitation under favorable conditions. Results elsewhere vary widely. A 2024 review by the U.S. Government Accountability Office found estimates of 0 to 20% additional precipitation in the studies it examined. The GAO also found that effectiveness remains difficult to evaluate and that suitable clouds must be present. The evidence is much stronger for some cloud-seeding methods than for others. The World Meteorological Organization (WMO) says the strongest recent causal evidence comes from wintertime glaciogenic seeding of orographic clouds, while Kazakhstan is using hygroscopic salts in convective clouds. Their large natural variability creates a weak signal-to-noise problem, making the added...