Topic: ocean-sciences Goto Github
Some thing interesting about ocean-sciences
Some thing interesting about ocean-sciences
ocean-sciences,Two-dimensional spatial filters, developed for application to ocean & atmosphere model output and gridded observations
User: andrewdelman
ocean-sciences,Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.
User: antarcticrainforest
Home Page: https://esm-analysis.readthedocs.io
ocean-sciences,A feature full Tomcat (SSL over APR, etc.) running ERDDAP
Organization: axiom-data-science
ocean-sciences,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
User: bbarcelollull
ocean-sciences,Unofficial Gibbs Sea Water Oceanographic Toolbox of TEOS-10 in Rust
User: castelao
Home Page: https://docs.rs/gsw/
ocean-sciences,SWOT Simulator for Ocean Science
Organization: cnes
Home Page: https://swot-simulator.readthedocs.io/
ocean-sciences,Python code to read the netCDF files and produce the figures of the paper.
User: ctroupin
ocean-sciences,Python tools to read and process oceanographic data related to upwelling filaments
User: ctroupin
ocean-sciences,Material for the course "Python applied to Oceanography"
User: ctroupin
ocean-sciences,Tracer distributions from passive tracer release experiments in Subantarctic Mode Water pools
User: danijonesocean
ocean-sciences,python library and tools for pre and post processing of the FESOM ocean model files
Organization: fesom
Home Page: http://pyfesom.readthedocs.io/en/latest/index.html
ocean-sciences,Gulf of Finland configuration for the NEMO ocean model
Organization: fmidev
ocean-sciences,pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.
User: fnemina
ocean-sciences,Julia interface to MITgcm
User: gaelforget
Home Page: https://gaelforget.github.io/MITgcm.jl/dev/
ocean-sciences,Material, data and presentations for the COST-EUMETSAT training school
Organization: gher-uliege
ocean-sciences,DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
Organization: gher-uliege
ocean-sciences,User Guide of the Data Interpolating Variational Analysis (Diva) software tool
Organization: gher-uliege
ocean-sciences,Code, data and instructions for the Diva workshops
Organization: gher-uliege
Home Page: https://gher-uliege.github.io/Diva-Workshops/
ocean-sciences,DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
Organization: gher-uliege
ocean-sciences,Interface to run Diva software tool (spatial interpolation).
Organization: gher-uliege
ocean-sciences,GHER documentation
Organization: gher-uliege
ocean-sciences,GeoHydrodynamics and Environment Research
Organization: gher-uliege
Home Page: https://gher-uliege.github.io
ocean-sciences,Coastal Oceanography Notebooks
Organization: gher-uliege
ocean-sciences,
Organization: gher-uliege
ocean-sciences,Tools and interfaces to work with DIVA interpolation software tool.
Organization: gher-uliege
ocean-sciences,A set of tools to read, plot and process data from STARESO
Organization: gher-uliege
ocean-sciences,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
User: hershey890
ocean-sciences,Ensemble Empirical Mode Decomposition Significance Test
User: jlpscampos
ocean-sciences,Coastal Ocean (CO) configuration of the Atlantic Margin Model (1.5 km resolution)
Organization: jmmp-group
ocean-sciences,FOAM: The Forward Ocean Atmosphere Microwave radiative transfer model and mission simulator
Organization: jpl-microwave-instrument-science
ocean-sciences,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.
User: k-rns
Home Page: https://k-rns.github.io/workshop_data_reuse/
ocean-sciences,ScarFace - seacarb calculations with R Shiny user interface
User: martens73
ocean-sciences,Easy exploration of the NOAA world ocean atlas
User: martinschobben
Home Page: https://martinschobben.github.io/oceanexplorer/
ocean-sciences,Repository for all Ocean Sampling Day related source code with information on how-to acquire OSD data
Organization: microb3-is
ocean-sciences,LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
Organization: nesl
ocean-sciences,Repository to manage issues related to the BODC P01 Vocabulary
Organization: nvs-vocabs
ocean-sciences,BODC parameter semantic model biological entity development stage terms
Organization: nvs-vocabs
ocean-sciences,🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics
Organization: oceanbiome
Home Page: https://oceanbiome.github.io/OceanBioME.jl/
ocean-sciences,Sea state observational data retrieval
Organization: oceanmodeling
Home Page: https://searvey.readthedocs.io/en/stable/
ocean-sciences,Provides easy access to ONC data in Python
Organization: oceannetworkscanada
Home Page: https://oceannetworkscanada.github.io/api-python-client/
ocean-sciences,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).
Organization: osu-ceoas-schmittner
ocean-sciences,This repository aim to storage the python scripts and data set used for the paper titled Isotopic characterization of water masses in the Eastern South Pacific Ocean: Paleoceanography implications.
User: paleobiogeochemistry
ocean-sciences,Low cost device to explore the deep sea up to 500 meters of depth
User: pauantabio
ocean-sciences,Python module to compute Singularity Exponents
User: pierrechabert
ocean-sciences,Vectorized interpolators for Nd atmospheric and oceanographic data
Organization: scitools
ocean-sciences,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.
User: sdat2
Home Page: https://seager19.readthedocs.io/
ocean-sciences,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.
Organization: socib
ocean-sciences,A Marine Fauna checklist localized to the Hawaii Exclusive Economic Zone
User: trevornishida
ocean-sciences,scientific functions to compute radar or geophysical parameters from satellite images over ocean
Organization: umr-lops
Home Page: https://cyclobs.ifremer.fr/static/sarwing_datarmor/xsarsea
ocean-sciences,Peng Wang, Ph.D.
User: wangpengphd
Home Page: https://wangpengphd.github.io
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