DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.

🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

SWOT Simulator for Ocean Science

MATLAB/Octave scripts to manage data collected by a glider fleet, including data download, data processing and product and figure generation, both in real time and delayed time.

Vectorized interpolators for Nd atmospheric and oceanographic data

Interface to run Diva software tool (spatial interpolation).

Sea state observational data retrieval

Julia interface to MITgcm

pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.

Unofficial Gibbs Sea Water Oceanographic Toolbox of TEOS-10 in Rust

A feature full Tomcat (SSL over APR, etc.) running ERDDAP

Code, data and instructions for the Diva workshops

Repository for all Ocean Sampling Day related source code with information on how-to acquire OSD data

python library and tools for pre and post processing of the FESOM ocean model files

Scale-free Vertical Tracking Microscopy (a.k.a Gravity Machine) repo.

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) version 2.1.

Material for the course "Python applied to Oceanography"

scientific functions to compute radar or geophysical parameters from satellite images over ocean

GHER documentation