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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
20:10:54, 19 November 2021 +
Jupyter Notebook +
1.0 hrs +
This lab couples two coastal models: Coast … This lab couples two coastal models: CoastSat and Coastal Evolution Model (CEM) in a jupyter notebook to allow users to explore shoreline change using real, observed shorelines and wave data.</br></br>We use CoastSat to download and extract shorelines from satellite imagery. These shorelines feed into the CEM where they are evolved by historical wave characteristics from a nearby buoy.l wave characteristics from a nearby buoy. +
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November 19, 2021 +
Sandy shorelines are areas of dynamic geom … Sandy shorelines are areas of dynamic geomorphic change, evolving on timescales ranging from hours to centuries. As part of the CSDMS ESPIn workshop, this educational lab was designed to allow users to observe firsthand the long-term change of a sandy coast of their choosing and explore the processes driving that change. The CEM was developed by Ashton et al. (2001) as an exploratory model that uses wave climate characteristics to model the evolution of an idealized coastline. In this educational lab, we couple CoastSat (a python tool that extracts shoreline geometry from satellite imagery (Vos et al., 2019)) to the CEM by initializing the model with observed shorelines from anywhere in the world. The CEM is then further driven by an average wave climate derived from local buoy data. This allows users to visualize the evolution of any sandy beach in the world through time. Through an introductory-level coding exercise, users will learn how to extract complex datasets, run a geomorphic model, and explore the impact of different wave climates on a beach they care about. wave climates on a beach they care about. +
Visualize the evolution of any sandy beach in the world through time. learn how to extract complex datasets, run a geomorphic model, and explore the impact of different wave climates on a beach you care about. +
The lab has two Notebooks:
The first (Pre … The lab has two Notebooks:</br></br>The first (Prepare_bathymetry_wave_inputs.ipynb), could be run on your local environment or any outside CSDMS jupyterhub environment in order to use CoastSat.</br></br>The second (cem_waves_notebook.ipynb), could be run on CSDMS jupyterhub environment , or local machine (only linux or osx). make sure you Install Pymt cem https://anaconda.org/conda-forge/pymt_cem https://anaconda.org/conda-forge/pymt_cem +
Image:Lab.png +
Ashton, A.D., Murray, B., Arnault, O. (2001). Formation of coastline features by large-scale instabilities induced by high-angle waves, Nature 414. +, Ashton A.D., Murray A.B. (2006) High-Angle Wave Instability and Emergent Shoreline Shapes: 1. Wave Climate Analysis and Comparisons to Nature. Journal of Geophysical Research. Volume 111. +, Ashton A.D., Murray A.B. (2006) High-Angle Wave Instability and Emergent Shoreline Shapes: 2. Wave Climate Analysis and Comparisons to Nature. Journal of Geophysical Research. Volume 111. + and Vos K., Splinter K.D., Harley M.D., Simmon … Vos K., Splinter K.D., Harley M.D., Simmons J.A., Turner I.L. (2019). CoastSat: a Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery. Environmental Modelling and Software. Vol. 122, 104528. (Open Access) Software. Vol. 122, 104528. (Open Access) +
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22:28:23, 19 April 2022 +
