pyDeltaRCM: a flexible numerical delta model
Andrew J. Moodie, Jayaram Hariharan, Eric Barefoot, Paola Passalacqua · The Journal of Open Source Software · 2021
River deltas provide many societal benefits, and sustainability of these landforms may be impacted by human modification and global climate change.Reduced-complexity numerical delta models incorporate limited physical processes, allowing researchers to assess the spatiotemporal evolution of landscape response to individual processes and environmental forcings.Isolating individual processes is useful to understand, for example, shifting delta morphology due to sea-level rise, changing vegetal cover, or flooding intensity.As a result, many numerical delta models have been proposed in the literature, and results from these studies are difficult to compare because of various design and implementation choices.pyDeltaRCM (v2.0) delivers a computationally efficient and easy-to-customize implementation of the DeltaRCM numerical model (Liang, Voller, et al., 2015), enabling comparison and reproducibility in studies of delta change due to various environmental forcings.