ocean-sciences
There are 79 repositories under ocean-sciences topic.
gher-uliege/DIVAnd.jl
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
OceanBioME/OceanBioME.jl
🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics
gher-uliege/DIVA
DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
CNES/swot_simulator
SWOT Simulator for Ocean Science
socib/glider_toolbox
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.
gaelforget/MITgcm.jl
Julia interface to MITgcm
SciTools/python-stratify
Vectorized interpolators for Nd atmospheric and oceanographic data
oceanmodeling/searvey
Sea state observational data retrieval
gher-uliege/DivaPythonTools
Interface to run Diva software tool (spatial interpolation).
fnemina/pyOSOAA
pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.
axiom-data-science/docker-erddap
A feature full Tomcat (SSL over APR, etc.) running ERDDAP
castelao/GSW-rs
Unofficial Gibbs Sea Water Oceanographic Toolbox of TEOS-10 in Rust
gher-uliege/Diva-Workshops
Code, data and instructions for the Diva workshops
FESOM/pyfesom
python library and tools for pre and post processing of the FESOM ocean model files
MicroB3-IS/osd-analysis
Repository for all Ocean Sampling Day related source code with information on how-to acquire OSD data
deepakkrishnamurthy/gravitymachine-research
Scale-free Vertical Tracking Microscopy (a.k.a Gravity Machine) repo.
OceanNetworksCanada/api-python-client
Provides easy access to ONC data in Python
umr-lops/xsarsea
scientific functions to compute radar or geophysical parameters from satellite images over ocean
ctroupin/Python-Course-Cadiz
Material for the course "Python applied to Oceanography"
MartinSchobben/oceanexplorer
Easy exploration of the NOAA world ocean atlas
OSU-CEOAS-Schmittner/UVic2.9
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).
gher-uliege/Documentation
GHER documentation
jlpscampos/Ensemble_EMD_significance_test
Ensemble Empirical Mode Decomposition Significance Test
nesl/locomote
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
sdat2/seager19
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.
nvs-vocabs/P01
Repository to manage issues related to the BODC P01 Vocabulary
andrewdelman/spatial-filters-2d
Two-dimensional spatial filters, developed for application to ocean & atmosphere model output and gridded observations
ctroupin/AlborEx-Data-Python
Python code to read the netCDF files and produce the figures of the paper.
ctroupin/Filament-Submesoscale
Python tools to read and process oceanographic data related to upwelling filaments
JMMP-Group/CO_AMM15
Coastal Ocean (CO) configuration of the Atlantic Margin Model (1.5 km resolution)
k-rns/workshop_data_reuse
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.
PauAntaBio/deep-sea-drop-cam
Low cost device to explore the deep sea up to 500 meters of depth
antarcticrainforest/esm_analysis
Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.
bbarcelollull/EuroSea_subTask_2.3.1
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
gher-uliege/gher-uliege.github.io
GeoHydrodynamics and Environment Research
gher-uliege/Ocot-notebook
Coastal Oceanography Notebooks