**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/

This repository contains baseconfigs & userconfigs, cGENIE outputs, Python scripts for data analysis, and figures associated with the Herho et al. (2024) manuscript.

The NEMO_Nowcast package is a collection of Python modules that can be used to build a software system to run ocean models such as NEMO in a daily nowcast/forecast mode.

Export JIGSAW meshes for the FVCOM ocean model.

**Archived** MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project documentation.

**Archived** Python package built around analysis-ashutosh/scripts/make-hdf5/ code developed by Ashutosh Bhudia.

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

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

A Python package of shared code developed by the UBC EOAS MOAD group.

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

Sample ROMS model output like a ship.

**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.

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.

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

Command-line tool based on Xarray and Dask for extraction of model variable time series from model products like SalishSeaCast and HRDPS

This repository includes the codes generated to evaluate different in situ sampling strategies to reconstruct fine-scale (~20 km) ocean currents in the context of SWOT satellite mission

Pre- and post-processing for MIKE FM Data Assimilation

The Lagrangian Transport Scenarios (LTS) framework runs, analyzes and visualizes oceanic Lagrangian particle simulations.

Code for MITgcm Southern Ocean Channel model and analysis

Code for a minimal NIW-QG model