Cryosphere monitoring and modeling in Central Asia: integrating in-situ observations, remote sensing, and community-driven approaches

The cryosphere plays a critical role in Central Asia, particularly in terms of water availability for agriculture and energy production via hydropower stations. Glaciers serve as essential sources of both seasonal and long-term water supply, while snow storage in mountainous regions significantly influences seasonal water availability. Consequently, the accurate estimation of water resources stored in glaciers and seasonal snow is vital for the effective management of transboundary water resources. However, limitations in data availability pose significant challenges to comprehensive water resource assessments.To address these challenges, we aim to demonstrate methodologies for conducting studies under data-limited conditions. This includes leveraging available observations and conducting field campaigns in high-altitude regions to enhance understanding of cryospheric changes. Additionally, we employ remote sensing data to extend observational coverage and address gaps in remote and inaccessible areas. This approach provides a more comprehensive understanding of the cryosphere's role in hydrological forecasting.Furthermore, we highlight an ongoing project that actively involves local communities in observational data collection, thereby improving both the quality of records and operational understanding of the cryosphere. By expanding in-situ measurement networks, we aim to enhance the accuracy of water resource assessments.Our ultimate goal is to improve water resource availability assessments in Central Asia and to support policy dialogue on water resource management by integrating scientific knowledge into hydrological forecasting. The methodologies and case studies presented here may also be applicable to other regions with similar geographic and climatic conditions, where water resources are critical for human well-being and data availability remains limited.

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