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.
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.
Interface to run Diva software tool (spatial interpolation).
Vectorized interpolators for Nd atmospheric and oceanographic data
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
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
Code, data and instructions for the Diva workshops
Sea state observational data retrieval
python library and tools for pre and post processing of the FESOM ocean model files
GHER documentation
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.
Scale-free Vertical Tracking Microscopy (a.k.a Gravity Machine) repo.
Material for the course "Python applied to Oceanography"
Easy exploration of the NOAA world ocean atlas
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.
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