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

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

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

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.

Julia interface to MITgcm

Vectorized interpolators for Nd atmospheric and oceanographic data

Sea state observational data retrieval

Interface to run Diva software tool (spatial interpolation).

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

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

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

Code, data and instructions for the Diva workshops

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

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

Provides easy access to ONC data in Python

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

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

Easy exploration of the NOAA world ocean atlas

Material for the course "Python applied to Oceanography"