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Central Asian researchers enhance geospatial skills for assessing snow and water availability

02 February 2024

Timely water availability is crucial for agriculture in water-stressed Central Asia, relying on snowpack in the Pamir and Tian-Shan mountains. Understanding interannual snowpack variability is vital for early agricultural drought warnings and tracking long term trends. In December 2023, the Land Systems Group hosted a four-day geospatial analysis workshop for two early-career researchers from the national hydrometeorological service of Kazakhstan (Kazhydromet) and the Central Asian Institute for Applied Geosciences (CAIAG). The workshop focused on providing skills for geospatial analysis of gridded snow data using the R programming language.  The training was conducted within the framework of the SWECA project, which reconstructs long-term and high-resolution snow water equivalent data for the Tian Shan and Pamir mountains.