Python package associated with running the SalishSeaCast NEMO and other ocean models in near-real-time to produce daily nowcasts/forecasts
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Updated
Oct 22, 2025 - Python
Python package associated with running the SalishSeaCast NEMO and other ocean models in near-real-time to produce daily nowcasts/forecasts
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.
A collection of namelists and run description files for various sets of NEMO runs for the SalishSeaCast MEOPAR project.
Successor to the SoG-bloomcast project that uses an ensemble forecast.
A collection of Jupyter Notebooks made by Nancy Soontiens for sharing of Python code techniques and notes about model results analysis code.
Collection of tools for working with the SalishSeaCast NEMO model, its results, and associated data.
**Archived** Tool to generate SalishSeaCast NEMO atmospheric forcing files from ECCC 2007-2014 GEMLAM archival RPN files.
Documentation about the UBC-MOAD SalishSeaCast project. Part of the MEOPAR network of centres of excellence.
**Archived** Fork of the SalishSeaCast NEMO command processor (https://nemo-cmd.readthedocs.io/en/latest/) to work with FVCOM.
Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Includes temperature, salinity, nutrients, and biological tracers.
Runoff climatology files for the SalishSeaCast NEMO model.
**ARCHIVAL** Analyses of the results of the SalishSeaCast NEMO model. Most of the files are Jupyter Notebooks.
A command-line tool for doing various operations associated with the SalishSeaCast NEMO model. Based on https://github.com/SalishSeaCast/NEMO-Cmd/.
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).
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.
A collection of model results and analysis produced by the Salish Sea MEOPAR project.
A collection of Jupyter Notebooks made by Jie Liu for sharing of Python code techniques and notes about model results analysis code.
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.
This repository provides code used in the development of our MIDOSS work.
WaveWatch III® configuration files for runs integrated into the Salish Sea Nowcast system.
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