Vectorized interpolators for Nd atmospheric and oceanographic data

This repository host a simple "finder" python code to calculate the closest distance in latitude/longitude and water depth of hydrological parameters (e.g. Temperature, δ13C-DIC, δ18Osw, nitrate, nitrite data) from sediment samples as a method to estimate bottom water characteristics.

Provides easy access to ONC data in Python

Python tools to read and process oceanographic data related to upwelling filaments

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

Coastal Ocean (CO) configuration of the Atlantic Margin Model (1.5 km resolution)

Julia interface to MITgcm

Sea state observational data retrieval

Code, data and instructions for the Diva workshops

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

Peng Wang, Ph.D.

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).

Plotly Dash dashboard which can display recent locations from a collection of different saildrone missions or a data from a single mission.

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

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

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

A Marine Fauna checklist localized to the Hawaii Exclusive Economic Zone

GeoHydrodynamics and Environment Research

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

SeaVoX Device Catalogue