Topic: ubc-moad Goto Github
Some thing interesting about ubc-moad
Some thing interesting about ubc-moad
ubc-moad,A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.
Organization: midoss
Home Page: https://nbviewer.jupyter.org/github/MIDOSS/analysis-doug/tree/master/notebooks/
ubc-moad,**Archived** MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project documentation.
Organization: midoss
Home Page: https://midoss-docs.readthedocs.io/en/latest/
ubc-moad,**Archived** Python package built around analysis-ashutosh/scripts/make-hdf5/ code developed by Ashutosh Bhudia.
Organization: midoss
Home Page: https://make-midoss-forcing.readthedocs.io/en/latest/
ubc-moad,**Archived** Collection of MOHID run data (.dat) files and run description YAML files for the various oil spill scenarios.
Organization: midoss
Home Page: https://mohid-cmd.readthedocs.io/en/latest/run_description_file/index.html
ubc-moad,**Archived** A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/
Organization: midoss
Home Page: https://mohid-cmd.readthedocs.io/en/latest/index.html
ubc-moad,**ARCHIVAL** Analyses of the results of the SalishSeaCast NEMO model. Most of the files are Jupyter Notebooks.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis/tree/master/
ubc-moad,A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-doug/tree/master/
ubc-moad,A collection of Jupyter Notebooks made by Idalia Machuca for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-idalia/tree/master/
ubc-moad,A collection of Jupyter Notebooks made by Jie Liu for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-jie/tree/master/jie/
ubc-moad,A collection of Jupyter Notebooks made by Michael Dunphy for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-michael/tree/master/
ubc-moad,A collection of Jupyter Notebooks made by Muriel Dunn for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-muriel/tree/master/
ubc-moad,A collection of Jupyter Notebooks made by Nancy Soontiens for sharing of Python code techniques and notes about model results analysis code.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-nancy/tree/master/
ubc-moad,collection of analyses of the results of the Salish Sea MEOPAR NEMO model
Organization: salishseacast
ubc-moad,A collection of Jupyter Notebooks and other files made by people who have participated in Salish Sea NEMO project sprints.
Organization: salishseacast
Home Page: https://nbviewer.jupyter.org/github/SalishSeaCast/analysis-sprints/tree/master/
ubc-moad,This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks.
Organization: salishseacast
ubc-moad,This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks.
Organization: salishseacast
ubc-moad,Documentation about the UBC-MOAD SalishSeaCast project. Part of the MEOPAR network of centres of excellence.
Organization: salishseacast
Home Page: https://salishsea-meopar-docs.readthedocs.io/en/latest/
ubc-moad,Fork of the SalishSeaCast NEMO command processor (https://nemo-cmd.readthedocs.io/en/latest/) to work with FVCOM.
Organization: salishseacast
ubc-moad,Coordinates, bathymetry, mesh mask, and atmospheric weights files for the SalishSeaCast NEMO model.
Organization: salishseacast
ubc-moad,NEMO command processor, a command line tool for doing various operations associated with the running NEMO (and other) ocean models. This an extensible tool built on the OpenStack cliff (Command Line Interface Formulation Framework) package. As such, it can be used as the basis for a NEMO domain-specific command processor tool.
Organization: salishseacast
Home Page: https://nemo-cmd.readthedocs.io/en/latest/
ubc-moad,A collection of model results and analysis produced by the Salish Sea MEOPAR project.
Organization: salishseacast
ubc-moad,Runoff climatology files for the SalishSeaCast NEMO model.
Organization: salishseacast
Home Page: https://salishsea-meopar-docs.readthedocs.io/en/latest/rivers/index.html
ubc-moad,Tool to generate SalishSeaCast NEMO atmospheric forcing files from ECCC 2007-2014 GEMLAM archival RPN files.
Organization: salishseacast
Home Page: https://rpn-to-gemlam.readthedocs.io/en/latest/
ubc-moad,Code and documentation for the dynamic web app based on the Pyramid framework that serves the https://salishsea.eos.ubc.ca/ site where information and research results from various projects about the oceanography of the Salish Sea are published to the web.
Organization: salishseacast
Home Page: https://salishsea-site.readthedocs.io/en/latest/
ubc-moad,A command-line tool for doing various operations associated with the SalishSeaCast NEMO model. Based on https://github.com/SalishSeaCast/NEMO-Cmd/.
Organization: salishseacast
Home Page: https://salishseacmd.readthedocs.io/en/latest/
ubc-moad,Python package associated with running the SalishSeaCast NEMO and other ocean models in near-real-time to produce daily nowcasts/forecasts
Organization: salishseacast
Home Page: https://salishsea.eos.ubc.ca/nemo/
ubc-moad,WaveWatch III® configuration files for runs integrated into the Salish Sea Nowcast system.
Organization: salishseacast
ubc-moad,A collection of namelists and run description files for various sets of NEMO runs for the SalishSeaCast MEOPAR project.
Organization: salishseacast
Home Page: https://salishsea-meopar-docs.readthedocs.io/en/latest/code-notes/salishsea-nemo/ss-run-sets.html
ubc-moad,Soontiens, N., Allen, S., Latornell, D., Le Souef, K., Machuca, I., Paquin, J.-P., Lu, Y., Thompson, K., Korabel, V. (2015). Storm surges in the Strait of Georgia simulated with a regional model. Atmosphere-Ocean, 54: 1-21 (2016).
Organization: salishseacast
Home Page: https://dx.doi.org/10.1080/07055900.2015.1108899
ubc-moad,Tide boundary condition files for the SalishSeaCast NEMO model.
Organization: salishseacast
Home Page: https://salishsea-meopar-docs.readthedocs.io/en/latest/tides/
ubc-moad,Collection of tools for working with the SalishSeaCast MEOPAR NEMO model, its results, and associated data.
Organization: salishseacast
Home Page: https://salishsea-meopar-tools.readthedocs.io/en/latest/index.html
ubc-moad,Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Includes temperature, salinity, nutrients, and biological tracers.
Organization: salishseacast
ubc-moad,**Archived** A command-line tool for doing various operations associated with the Strait of Georgia WaveWatch III® model. Based on https://bitbucket.org/salishsea/nemo-cmd.
Organization: salishseacast
Home Page: https://wwatch3-cmd.readthedocs.io/en/latest/
ubc-moad,XIOS build configuration arch files for use with NEMO-3.6.
Organization: salishseacast
Home Page: https://ubc-moad-docs.readthedocs.io/en/latest/xios-2.html
ubc-moad,Cookiecutter for analysis notebook repos for UBC EOAS MOAD group members
Organization: ubc-moad
ubc-moad,Cookiecutter for Python packages created for UBC EOAS MOAD group projects
Organization: ubc-moad
ubc-moad,UBC EOAS MOAD Group docs
Organization: ubc-moad
Home Page: https://ubc-moad-docs.readthedocs.io/en/latest/
ubc-moad,A Python package of shared code developed by the UBC EOAS MOAD group.
Organization: ubc-moad
Home Page: https://ubc-moad-tools.readthedocs.org/en/latest/
ubc-moad,Notebooks and notes about Python usage, idioms, techniques
Organization: ubc-moad
Home Page: https://nbviewer.jupyter.org/github/UBC-MOAD/PythonNotes/tree/master/
ubc-moad,Command-line tool based on Xarray and Dask for extraction of model variable time series from model products like SalishSeaCast, HRDPS & CANESM2/CGCM4.
Organization: ubc-moad
Home Page: https://reshapr.readthedocs.io/en/latest/
ubc-moad,1-D Biophysical Coupled Near-surface Mixing Model of the Strait of Georgia
Organization: ubc-moad
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.