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Georeferenced Snow Depth and Snow Water Equivalent Dataset (2025) from East Kazakhstan Region

Author

Listed:
  • Dmitry Chernykh

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia
    Department of Economic Geography and Cartography, Altai State University, Barnaul 656049, Russia)

  • Roman Biryukov

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia)

  • Lilia Lubenets

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia)

  • Andrey Bondarovich

    (Department of Economic Geography and Cartography, Altai State University, Barnaul 656049, Russia)

  • Nurassyl Zhomartkan

    (Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Almasbek Maulit

    (Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Dauren Nurekenov

    (Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Kamilla Rakhymbek

    (Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Yerzhan Baiburin

    (Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Aliya Nugumanova

    (Big Data and Blockchain Technologies Research Innovation Center, Astana IT University, Astana 010000, Kazakhstan)

Abstract

In this work, we present the Snow Depth and Snow Water Equivalent Dataset for specific areas located in the East Kazakhstan Region that can be exploited to monitor and understand water resource dynamics in mountain regions. The present dataset represents a georeferenced collection of snow depth, snow density, and derived snow water equivalent (SWE) measurements obtained through manual snow surveys. Snow survey observations were conducted during field campaigns in the East Kazakhstan Region during the period of maximum snow accumulation from 27 February to 6 March 2025. Snow survey sites were selected to maximize coverage of diverse landscape settings and snow accumulation conditions. In total, 111 snow survey sites were established across the East Kazakhstan Region, and 2331 snow depth measurements and 555 snow density measurements were collected. In post-field (laboratory) processing, snow water equivalent (SWE) was calculated for all snow survey sites based on measured snow depth and snow density values.

Suggested Citation

  • Dmitry Chernykh & Roman Biryukov & Lilia Lubenets & Andrey Bondarovich & Nurassyl Zhomartkan & Almasbek Maulit & Dauren Nurekenov & Kamilla Rakhymbek & Yerzhan Baiburin & Aliya Nugumanova, 2026. "Georeferenced Snow Depth and Snow Water Equivalent Dataset (2025) from East Kazakhstan Region," Data, MDPI, vol. 11(2), pages 1-13, February.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:2:p:40-:d:1864259
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