Water security across Central Asia is increasingly threatened by climate variability, ageing irrigation infrastructure, rapid demographic change, and complex transboundary water-sharing arrangements. Digitalisation combined with advanced Earth Observation (EO) technologies provides a critical pathway for improving transparency, strengthening regional cooperation, and supporting sustainable basin-scale water management. In this study, we demonstrate an integrated digital–EO framework for monitoring water availability and evaluating hydrological dynamics across the Syr Darya and Amu Darya basins. Using multi-source datasets—including CHIRPS and GPM precipitation, MODIS and SSEBop evapotranspiration, and GRACE/GRACE-FO total water storage anomalies—processed within the Google Earth Engine environment, we quantify seasonal and interannual variability in catchment-scale water balance components. The analysis highlights significant hydrological fluctuations driven by climate and upstream water-use pressures, underscoring the need for adaptive and data-driven management approaches.
We further discuss how the combination of remote sensing, machine learning analytics, and emerging IoT-based monitoring systems can enhance the digital transformation of water governance in Central Asia. These tools support more equitable data sharing, reduce uncertainty in transboundary negotiations, and provide a technical foundation for strengthening water diplomacy between riparian states. The study concludes with recommendations on operationalising EO‑based digital platforms to improve transparency, build trust, and advance long-term water security and cooperative river-basin governance in the region.
How to cite: Jarihani, B., Salokhiddinov, A., Brody, M., Umirzakov, G., Turgunov, D., and Rakhmonov, K.: Digitalisation and Earth Observation for Sustainable Water Security and Transboundary Diplomacy in Central Asia, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22296, https://doi.org/10.5194/egusphere-egu26-22296, 2026.