r.sim.terrain: a dynamic landscape evolution model

Abstract

Abstract. While there are numerical landscape evolution models that simulate how steady state flows of water and sediment reshape topography over long periods of time, r.sim.terrain is the first to simulate short-term topographic change for both steady state and dynamic flow regimes across a range of spatial scales. This free and open source, GIS-based topographic evolution model uses empirical models for soil erosion at watershed to regional scales and a physics-based model for shallow overland water flow and soil erosion at subwatershed scales to compute short-term topographic change. This either steady state or dynamic model simulates how overland sediment mass flows reshape topography for a range of hydrologic soil erosion regimes based on topographic, land cover, soil, and rainfall parameters. As demonstrated by a case study for Patterson Branch subwatershed on the Fort Bragg military installation in North Carolina, r.sim.terrain can realistically simulate the development of fine-scale morphological features including ephemeral gullies, rills, and hillslopes. Applications include land management, erosion control, landscape planning, and landscape restoration.

An Eddy‐Diffusivity Mass‐Flux Parameterization for Modeling Oceanic Convection

“…Throughout this study, the so-called eddy-diffusion (ED) scheme chosen is based on a parameterization of the second-order turbulent moments expressed as a function of the Turbulent Kinetic Energy (TKE; 1.5 turbulent closure scheme Gaspar et al, 1990). This parameterization is currently used in applications with the NEMO code (Lellouche et al, 2018;Madec & NEMO System Team, 2016;Reffray et al, 2015) and a recent presentation including the wave-induced terms can be found in Couvelard et al (2019). This paper proposes to represent oceanic convection consistently to atmospheric convection.…”

r.sim.terrain 1.0: a landscape evolution model with dynamic hydrology

“…The digital object identifier (DOI) for the version of the software documented in this paper is https://doi.org/10.5281/zenodo.3243699 (Harmon, 2019a). There are detailed instructions for running this model in the manual at https://grass.osgeo.org/grass76/manuals/addons/r.sim.terrain.html (last access: 3 July 2019) (Harmon, 2019f) and the tutorial at https://github.com/baharmon/landscape_evolution/blob/master/ tutorial.md (last access: 3 July 2019) (Harmon, 2019c). The geospatial dataset for the study area is available on GitHub at https://github.com/baharmon/landscape_evolution_dataset (last access: 3 July 2019) (Harmon, 2019b) under the Open Database License (https://opendatacommons.org/licenses/odbl/, last access: 3 July 2019) with the DOI: https://doi.org/10.5281/zenodo.3243700 (Harmon, 2019b).…”