There are 1 repository under ocean-sciences topic.
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
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
Sea state observational data retrieval
Julia interface to MITgcm
Interface to run Diva software tool (spatial interpolation).
Code, data and instructions for the Diva workshops
A feature full Tomcat (SSL over APR, etc.) running ERDDAP
Repository for all Ocean Sampling Day related source code with information on how-to acquire OSD data
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).
Material for the course "Python applied to Oceanography"
GHER documentation
Easy exploration of the NOAA world ocean atlas
Provides easy access to ONC data in Python
Ensemble Empirical Mode Decomposition Significance Test
Replication of Seager et al. (2019) Nat. Clim. Chan. They used a simple-as-possible coupled model to explain the bias in the nino3.4 trend in climate models (CMIP5). This repository replicates/reproduces their work, shows that it also applies to CMIP6, and varies some of the parameters.
Two-dimensional spatial filters, developed for application to ocean & atmosphere model output and gridded observations
Python code to read the netCDF files and produce the figures of the paper.
Data reuse saves time and accelerates the pace of scientific discovery. But how do you actually reuse the data that you put in repositories? This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science specific repo's and programs and pulling these data into the Python environment.
Repository to manage issues related to the BODC P01 Vocabulary
Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.
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
Python tools to read and process oceanographic data related to upwelling filaments
GeoHydrodynamics and Environment Research
Coastal Oceanography Notebooks
Coastal Ocean (CO) configuration of the Atlantic Margin Model (1.5 km resolution)
Low cost device to explore the deep sea up to 500 meters of depth