A MATLAB toolbox for interacting with bulk freely-available oceanographic data.

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

Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.

Hack for the Sea 2020 - October 2020 in Gloucester, MA

Drifters Project

Updates with ocean temperatures from around the world monthly.

Magtogoek is a Linux python package and command line application (CLI) for processing ocean data. At the moment, only Accoustisc Doopler Current Profiler (ADCP) data can be processed. This package is developped by the Scientific Advice, Information and Support Branch at the Fisheries and Ocean Canada Maurice-Lamontagne Institute.

Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.

Functions used to create global (or regional) maps of ocean data (e.g. satellite, model output, WOA). Data sets are converted to raster images and plotted using the levelplot function in R. This is for both concentrations and relative changes over time.

Python Scripts that analyze and plot the attributes of oceanic and atmospheric data, intentionally collected from the Weddell Sea.

A plugin to display live tide data from NOAA

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

Ocean Physics MSc thesis at the University of Victoria, under the supervision of Dr. Jody Klymak, characterising the internal wave field at Barkley Canyon.

UCLA Marine Data Visualization application/GUI in development in python for the Marine Operations Program at UCLA. Used to depict Ocean temperature along with GPS data ovelayed on a map. Check out the Marine Operations Program at: https://dept.atmos.ucla.edu/marineops

Using time-series ARIMA model to analyze the water quality from remote sensing satellite images data and raise public awareness through web development. Site deployed on netlify platform : https://skavithaqua.netlify.app

Utilities (plotting, computing, merging products) related EMODnet-Chemistry.

Python module to compute Singularity Exponents

MOVED TO: https://bitbucket.csiro.au/projects/ONACI/repos/leaflet-particles

Using time-series ARIMA model to analyze the water quality from remote sensing satellite images data and raise public awareness through web development. Site deployed on netlify platform : https://skavithaqua.netlify.app

Inter-sensor Bias Estimation in Sea Surface Temperature