- Andhra University, Visakhapatnam, India (nyameesther711@gmail.com)
This presentation outlines a comprehensive framework of multi-scale digital solutions designed to address Africa's pressing water challenges. We explore the integration of advanced physical modelling with a diverse suite of next-generation hydrologic observations from remote sensing and in-situ networks to crowd-sourced data. The core of our approach lies in automated systems for data fusion, processing, and assimilation, leveraging machine learning and hybrid techniques to enhance model accuracy. Critically, we incorporate robust uncertainty quantification to ensure reliable outputs. These integrated components enable the development of actionable, real-time forecasting and decision support systems for water resources allocation and disaster management. We will demonstrate practical applications, including autonomous processes and embedded devices, showcasing a transformative pathway towards proactive, data-driven water governance across the African continent.
How to cite: Berchie Morfo, S. and Bamfo, N. K. O.: An Integrated Digital Framework for Multi-Scale Water Security in Africa., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-716, https://doi.org/10.5194/egusphere-egu26-716, 2026.