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A list of all pages that have property "Extended model description" with value "BarrierBMFT is a coupled model framework for exploring morphodynamic interactions across components of the entire coastal barrier system, from the ocean shoreface to the mainland forest. The model framework couples Barrier3D (Reeves et al., 2021), a spatially explicit model of barrier evolution, with the Python version of the Coastal Landscape Transect model (CoLT; Valentine et al., 2023), known as PyBMFT-C (Bay-Marsh-Forest Transect Model with Carbon). In the BarrierBMFT coupled model framework, two PyBMFT-C simulations drive evolution of back-barrier marsh, bay, mainland marsh, and forest ecosystems, and a Barrier3D simulation drives evolution of barrier and back-barrier marsh ecosystems. As these model components simultaneously advance, they dynamically evolve together by sharing information annually to capture the effects of key cross-landscape couplings. BarrierBMFT contains no new governing equations or parameterizations itself, but rather is a framework for trading information between Barrier3D and PyBMFT-C. The use of this coupled model framework requires Barrier3D v2.0 (https://doi.org/10.5281/zenodo.7604068) and PyBMFT-C v1.0 (https://doi.org/10.5281/zenodo.7853803).". Since there have been only a few results, also nearby values are displayed.

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    • Model:BarrierBMFT  + (BarrierBMFT is a coupled model framework fBarrierBMFT is a coupled model framework for exploring morphodynamic interactions across components of the entire coastal barrier system, from the ocean shoreface to the mainland forest. The model framework couples Barrier3D (Reeves et al., 2021), a spatially explicit model of barrier evolution, with the Python version of the Coastal Landscape Transect model (CoLT; Valentine et al., 2023), known as PyBMFT-C (Bay-Marsh-Forest Transect Model with Carbon). In the BarrierBMFT coupled model framework, two PyBMFT-C simulations drive evolution of back-barrier marsh, bay, mainland marsh, and forest ecosystems, and a Barrier3D simulation drives evolution of barrier and back-barrier marsh ecosystems. As these model components simultaneously advance, they dynamically evolve together by sharing information annually to capture the effects of key cross-landscape couplings. BarrierBMFT contains no new governing equations or parameterizations itself, but rather is a framework for trading information between Barrier3D and PyBMFT-C.</br></br>The use of this coupled model framework requires Barrier3D v2.0 (https://doi.org/10.5281/zenodo.7604068)</br> and PyBMFT-C v1.0 (https://doi.org/10.5281/zenodo.7853803). (https://doi.org/10.5281/zenodo.7853803).)