salishsea
There are 0 repository under salishsea topic.
ivanoats / SeattleTide
Tide information for Meadow point, and wind speed for West Point, Seattle, WA, USA
Language:JavaScript 5SalishSeaCast / SalishSeaNowcast
Python package associated with running the SalishSeaCast NEMO and other ocean models in near-real-time to produce daily nowcasts/forecasts
Language:Python 4Code and documentation for the dynamic web app based on the Pyramid framework that serves the https://salishsea.eos.ubc.ca/ site where information and research results from various projects about the oceanography of the Salish Sea are published to the web.
Language:Mako 3MIDOSS / docs
**Archived** MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project documentation.
Language:Python 2**Archived** Python package built around analysis-ashutosh/scripts/make-hdf5/ code developed by Ashutosh Bhudia.
Language:Python 2**Archived** Collection of MOHID run data (.dat) files and run description YAML files for the various oil spill scenarios.
Language:Shell 2**Archived** A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/
Language:Python 2Tool to generate SalishSeaCast NEMO atmospheric forcing files from ECCC 2007-2014 GEMLAM archival RPN files.
Language:Python 2Branch of the SoG-bloomcast project that uses an ensemble forecast.
Language:Jupyter Notebook 2Collection of tools for working with the SalishSeaCast MEOPAR NEMO model, its results, and associated data.
Language:Jupyter Notebook 2**ARCHIVAL** Analyses of the results of the SalishSeaCast NEMO model. Most of the files are Jupyter Notebooks.
Language:Jupyter Notebook 1A collection of Jupyter Notebooks made by Michael Dunphy for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter Notebook 1A collection of Jupyter Notebooks made by Nancy Soontiens for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter Notebook 1collection of analyses of the results of the Salish Sea MEOPAR NEMO model
Language:Jupyter Notebook 1This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks.
Language:Jupyter Notebook 1Documentation about the UBC-MOAD SalishSeaCast project. Part of the MEOPAR network of centres of excellence.
Language:Jupyter Notebook 1The /opt/tomcat/content/erddap/datasets.xml file for the SalishSeaCast ERDDAP server along with Jupyter notebooks and docs that support the maintenance of datasets.xml. Also the /opt/tomcat/content/erddap/setup.xml file that contains the markup for the ERDDAP index page.
Language:Jupyter Notebook 1A command-line tool for doing various operations associated with the SalishSeaCast NEMO model. Based on https://github.com/SalishSeaCast/NEMO-Cmd/.
Language:Python 1A collection of namelists and run description files for various sets of NEMO runs for the SalishSeaCast MEOPAR project.
Language:Python 1Soontiens, N., Allen, S., Latornell, D., Le Souef, K., Machuca, I., Paquin, J.-P., Lu, Y., Thompson, K., Korabel, V. (2015). Storm surges in the Strait of Georgia simulated with a regional model. Atmosphere-Ocean, 54: 1-21 (2016).
Language:Jupyter Notebook 1Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Includes temperature, salinity, nutrients, and biological tracers.
**Archived** A command-line tool for doing various operations associated with the Strait of Georgia WaveWatch III® model. Based on https://bitbucket.org/salishsea/nemo-cmd.
Language:Python 1A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter Notebook 0Coordinates, bathymetry, mesh mask, and atmospheric weights files for the SalishSeaCast NEMO model.
0A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter NotebookA collection of Jupyter Notebooks made by Idalia Machuca for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter NotebookA collection of Jupyter Notebooks made by Jie Liu for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter NotebookA collection of Jupyter Notebooks made by Muriel Dunn for sharing of Python code techniques and notes about model results analysis code.
Language:Jupyter NotebookA collection of Jupyter Notebooks and other files made by people who have participated in Salish Sea NEMO project sprints.
Language:Jupyter NotebookThis is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks.
Language:Jupyter NotebookA collection of model results and analysis produced by the Salish Sea MEOPAR project.
Language:Jupyter NotebookRunoff climatology files for the SalishSeaCast NEMO model.
Language:ShellWaveWatch III® configuration files for runs integrated into the Salish Sea Nowcast system.
Superseded by https://github.com/SalishSeaCast/SOG-Bloomcast-Ensemble. SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the first spring phytoplankton bloom in the Strait of Georgia on the British Columbia south coast. In addition to being part of an active research program on the physics and biogeochemistry of the Salish Sea, SoG-bloomcast is intended as a demonstration of how small university research groups can use lightweight software automation to publish near-real-time model results to the web. SoG-bloomcast uses the SOG coupled physics-biogeochemical model for deep estuaries to do its science.
Language:PythonTide boundary condition files for the SalishSeaCast NEMO model.
UBC-MOAD / SOG-code-collab
1-D Biophysical Coupled Near-surface Mixing Model of the Strait of Georgia
Language:Fortran