Ocean Assimilation Kit
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Updated
Apr 25, 2025 - Fortran
Ocean Assimilation Kit
AeroBulk is a modern-FORTRAN-based package/library that gathers state-of-the-art aerodynamic bulk formulae algorithms used to compute turbulent air-sea fluxes of momentum, heat and freshwater.
Coastal Ocean (CO) configuration of the Atlantic Margin Model (1.5 km resolution)
DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
This is the base code of the University of Victoria (UVic) Earth System Climate Model version 2.9 with the Model of Ocean Biogeochemistry and Isotopes (MOBI).
Source code and build system for the MIDOSS project version of the MOHID model. Includes enhancements and features added to MOHID by Shihan Li and others at Dalhousie University. Initialized with code in Shihan Li's "UBC new" Visual Studio project during Shihan & Xiaomei's visit to UBC in Mar-2019.
The Oceanographic Multi-purpose Software Environment: a package for multi-physics and multi-scale earth science simulations.
Regional ocean circulation simulation of South East Asia using the NEMO framework
System of HydrodYnamic Finite Element Modules
1-D Biophysical Coupled Near-surface Mixing Model of the Strait of Georgia
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Fortran
This is a repository containing MITgcm configuration files and a jupyter notebook used in studying symmetric instability in cross-equatorial western boundary currents.
Tsunami Simulator with parallel computing in modern Fortran
As part of my PhD I created a 1D biogeochemical configuration based on PISCES model (version 1 - Bopp et al, 2005) The configuration was created to study the impact of environmental changes (mainly Mixed Layer Depth and Light) over Southern Ocean primary production, from the seasonal to decadal scales.
An implementation of the depth-resolved phytoplankton primary production model by Westberry et al. 2008.
An algorithm that maps the propagation of ocean waves in two dimensions
Investigation into the use of Domain Specific Languages with the NEMO ocean model
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