ubc-moad
There are 1 repository under ubc-moad topic.
SalishSeaCast / 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 2Collection of tools for working with the SalishSeaCast MEOPAR NEMO model, its results, and associated data.
Language:Jupyter Notebook 2- Language:Python 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 1Fork of the SalishSeaCast NEMO command processor (https://nemo-cmd.readthedocs.io/en/latest/) to work with FVCOM.
Language:Python 1NEMO command processor, a command line tool for doing various operations associated with the running NEMO (and other) ocean models. This an extensible tool built on the OpenStack cliff (Command Line Interface Formulation Framework) package. As such, it can be used as the basis for a NEMO domain-specific command processor tool.
Language:Python 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 1UBC-MOAD / cookiecutter-analysis-repo
Cookiecutter for analysis notebook repos for UBC EOAS MOAD group members
Language:Python 1A Python package of shared code developed by the UBC EOAS MOAD group.
Language:Python 1Notebooks and notes about Python usage, idioms, techniques
Language:Jupyter Notebook 1Coordinates, bathymetry, mesh mask, and atmospheric weights files for the SalishSeaCast NEMO model.
0Command-line tool based on Xarray and Dask for extraction of model variable time series from model products like SalishSeaCast and HRDPS
Language:Python 0A 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:ShellReusable GitHub Actions workflows for MOAD repositories and workflow management tools
Language:Python1-D Biophysical Coupled Near-surface Mixing Model of the Strait of Georgia
Language:Fortran