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A Runoff‐On‐Grid Approach to Embed Hydrological Processes in Shallow Water Models
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A Runoff‐On‐Grid Approach to Embed Hydrological Processes in Shallow Water Models
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Journal Article
A Runoff‐On‐Grid Approach to Embed Hydrological Processes in Shallow Water Models
2024
Overview
Catchment‐scale hydrological models encountered dichotomies with the numerical hydrodynamic models when describing surface routing process. We propose a new modeling framework, the so‐called “Runoff‐On‐Grid” approach, for embedding distributed process‐based hydrological modeling into shallow water models, as an alternative to the traditional Fully Hydrodynamic Approach (also known as Rain‐On‐Grid). Antecedent Soil Moisture, subsurface dynamics, and other topsoil hydrological processes are implicitly integrated in the governing hydrodynamic equations via the proposed methodology. The resulting hydrological‐hydrodynamic coupling, based on the DREAM distributed hydrological model and the Iber+ shallow water model, enhances the capabilities of both reference models. Through introducing non‐negligible runoff generation sources, the Runoff‐On‐Grid approach extends the surface hydrodynamic modeling to medium‐sized vegetated and/or (semi)humid catchments, bypassing the limitations of the widespread hydrological losses' empirical formulations. Employed in an event‐based analysis within a High‐Performance Computing framework, the DREAM‐Iber model provides an efficient and reliable reconstruction of the November 2020 flood that occurred in Crotone (Italy), envisaging consequences of similar future scenarios. We show that the proposed modeling technique, nested within emerging environmental technologies and robust on‐site data, details the flood hazard inducing processes merging physical hydrology with advanced hydrodynamics. Plain Language Summary In this scientific contribution, the potential of combining two different operational tools, namely distributed rainfall‐runoff and flood models, is investigated. An hindcast procedure has been used as reference to assess both the hydrological processes and the inundations at the catchment‐scale. In this context, were exploited cutting edge computational and environmental technologies, which significantly quickened the simulations and enabled a high‐fidelity reconstruction of the extreme meteorological event. According to our findings, there is merit of the proposed approach for bridging the dichotomies between the hydrological and hydrodynamic simulators. This can favor of a more comprehensive method to reduce the limitation of the standalone models. Key Points The Runoff‐On‐Grid approach integrates subsurface hydrological processes, antecedent soil moisture and soil physics in shallow water models The Runoff‐On‐Grid approach expands the capabilities of the Rain‐On‐Grid approach introducing non‐negligible runoff generation sources The DREAM‐Iber model supported by enabling technologies provides a high‐fidelty reconstruction of the 2020 Esaro flood
