The Nile River Basin—shared by eleven countries and supporting over 300 million people—exemplifies the complexity of managing shared waters amid asymmetrical power relations, historical legacies, and competing development priorities. To advance the understanding of transboundary water governance and guide future cooperative strategies in the Nile Basin, a synthesis linking historical governance regimes with current contemporary frameworks is essential, as the existing literature is largely episodic, and its scope rarely includes recent governance developments. This review traces over a century of governance evolution, from pre-colonial and colonial allocation treaties through post-independence bilateral agreements to current institutional innovations and basin-wide initiatives. Historical and contemporary arrangements are assessed against principles of equitable and reasonable utilization, revealing persistent gaps in fairness, enforceability, and adaptive capacity. The analysis concludes by exploring emerging cooperation mechanisms and opportunities to transform the Nile from a locus of geopolitical tension into a model of equity-driven, cooperative governance.

Soil moisture is a fundamental variable controlling hydrologic partitioning, land–atmosphere exchange, and biogeochemical cycling. Although widely characterized through observations, remote sensing, and data-driven approaches, the representation of soil water fluxes and subsurface processes in predictive models remains less systematically synthesized. Here, we present a structured review of widely used predictive models, focusing on their process formulations, spatial discretization, and treatment of soil water fluxes across scales. The synthesis reveals consistent trade-offs among physical realism, scalability, data intensity, and computational efficiency. Conceptual models based on tipping-bucket approaches simplify soil water movement as threshold-driven storage processes and underrepresent transient redistribution and deep soil moisture dynamics. Storage-routing models introduce flux-based redistribution but rely on empirical parameterization that dampen transient flux dynamics. Physically based models resolve hydraulic gradients and provide the highest process fidelity but require extensive data and computational resources. Across scales, the absence or simplification of preferential flow and lateral subsurface flow constitutes the dominant structural limitation, producing systematic smoothing of soil moisture variability. The review provides a comparative basis for model selection and highlights critical directions for improving the representation of subsurface hydrologic dynamics in predictive frameworks.