salishseacast

There are 28 repositories under salishseacast 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:Python451053
  • SalishSeaCast/salishsea-site

    Code 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:Mako33100
  • SalishSeaCast/rpn-to-gemlam

    Tool to generate SalishSeaCast NEMO atmospheric forcing files from ECCC 2007-2014 GEMLAM archival RPN files.

    Language:Python2210
  • SalishSeaCast/SOG-Bloomcast-Ensemble

    Branch of the SoG-bloomcast project that uses an ensemble forecast.

    Language:Jupyter Notebook2220
  • SalishSeaCast/tools

    Collection of tools for working with the SalishSeaCast MEOPAR NEMO model, its results, and associated data.

    Language:Jupyter Notebook23444
  • SalishSeaCast/analysis

    **ARCHIVAL** Analyses of the results of the SalishSeaCast NEMO model. Most of the files are Jupyter Notebooks.

    Language:Jupyter Notebook1201
  • SalishSeaCast/analysis-nancy

    A collection of Jupyter Notebooks made by Nancy Soontiens for sharing of Python code techniques and notes about model results analysis code.

    Language:Jupyter Notebook1202
  • SalishSeaCast/analysis-susan

    This 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 Notebook120
  • SalishSeaCast/docs

    Documentation about the UBC-MOAD SalishSeaCast project. Part of the MEOPAR network of centres of excellence.

    Language:Jupyter Notebook1233
  • SalishSeaCast/erddap-datasets

    The /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 Notebook1200
  • SalishSeaCast/FVCOM-Cmd

    **Archived** Fork of the SalishSeaCast NEMO command processor (https://nemo-cmd.readthedocs.io/en/latest/) to work with FVCOM.

    Language:Python1100
  • SalishSeaCast/rivers-climatology

    Runoff climatology files for the SalishSeaCast NEMO model.

    Language:Shell120
  • SalishSeaCast/SalishSeaCmd

    A command-line tool for doing various operations associated with the SalishSeaCast NEMO model. Based on https://github.com/SalishSeaCast/NEMO-Cmd/.

    Language:Python12130
  • SalishSeaCast/SS-run-sets

    A collection of namelists and run description files for various sets of NEMO runs for the SalishSeaCast MEOPAR project.

    Language:Python1210
  • SalishSeaCast/storm-surge

    Soontiens, 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 Notebook1201
  • SalishSeaCast/tracers

    Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Includes temperature, salinity, nutrients, and biological tracers.

  • SalishSeaCast/grid

    Coordinates, bathymetry, mesh mask, and atmospheric weights files for the SalishSeaCast NEMO model.

  • SalishSeaCast/analysis-jie

    A collection of Jupyter Notebooks made by Jie Liu for sharing of Python code techniques and notes about model results analysis code.

    Language:Jupyter Notebook201
  • SalishSeaCast/analysis-sprints

    A collection of Jupyter Notebooks and other files made by people who have participated in Salish Sea NEMO project sprints.

    Language:Jupyter Notebook20
  • SalishSeaCast/analysis-storm-surges

    This 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 Notebook20
  • SalishSeaCast/results_for_others

    A collection of model results and analysis produced by the Salish Sea MEOPAR project.

    Language:Jupyter Notebook20
  • SalishSeaCast/SalishSeaWaves

    WaveWatch III® configuration files for runs integrated into the Salish Sea Nowcast system.

  • SalishSeaCast/SOG

    Python execution scripts for the Fortran SOG model of deep estuaries

    Language:Python20
  • SalishSeaCast/SOG-code

    Fortran code for the SOG biophysical coupled model of deep estuaries

    Language:Fortran20
  • SalishSeaCast/SOG-forcing

    Companion forcing files for the Fortran SOG biophysical model of deep estuaries

    Language:Python20
  • SalishSeaCast/SOG-initial

    Companion initialization files for the Fortran SOG biophysical model of deep estuaries

    Language:MATLAB10
  • SalishSeaCast/SOG-runsets

    Companion runset files for the Fortran SOG biophysical model of deep estuaries

    Language:Jupyter Notebook20
  • SalishSeaCast/tides

    Tide boundary condition files for the SalishSeaCast NEMO model.