Explore @SalishSeaCast Open Source projects

@SalishSeaCast

SalishSeaCast

Stars
27
Global Org. Rank 104,512 (Top 34 %)
Registered almost 5 years ago
Most used languages

Jupyter Notebook
55.6 %

Python
38.9 %

Mako 5.6 %
Location 🇨🇦 Canada
Country Total Rank 12,848
Country Ranking

Mako 1

Jupyter Notebook
895

Python
4,321

SalishSeaNowcast

Python package associated with running the SalishSeaCast NEMO and other ocean models in near-real-time to produce daily nowcasts/forecasts

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.

rpn-to-gemlam

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

SOG-Bloomcast-Ensemble

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

Jupyter Notebook

tools

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

Jupyter Notebook

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).

Jupyter Notebook

analysis-shared

collection of analyses of the results of the Salish Sea MEOPAR NEMO model

Jupyter Notebook

analysis

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

Jupyter Notebook

SalishSeaCmd

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

FVCOM-Cmd

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

docs

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

Jupyter Notebook

NEMO-Cmd

NEMO 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.

tracers

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

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.

Jupyter Notebook

WWatch3-Cmd

**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.

Suchyetal_NPGOpaper

Jupyter Notebook

analysis-michael

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

Jupyter Notebook

analysis-nancy

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

Jupyter Notebook

SS-run-sets

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