Pinned Repositories
Nuts2Fish
Figures for manuscript "From nutrients to fish: A novel, high-resolution Community Earth System Model simulation linked to a fish functional type model"
CUPiD
CUPiD is a “one stop shop” that enables and integrates timeseries file generation, data standardization, diagnostics, and metrics from all CESM components.
ocean-bgc-cookbook
This Project Pythia Cookbook covers working with various sources of ocean biogeochemistry data, including Community Earth System Model (CESM) output and observational data.
analysis_tools
tools for ESM analysis
CUPiD
Python Framework for Generating Diagnostics from CESM
esds
Repository for hosting material related to Earth System Data Science Initiative efforts
mom6-tools
Tools to support analysis of CESM/MOM6 model solutions (mom6-tools)
nbscuid
Notebook-Based, Super CUstomizable Infrastructure for Diagnostics
nbscuid-adf-sandbox
See https://project.cgd.ucar.edu/projects/ocean-diagnostics-books/eromashkova/nbscuid-adf-sandbox-demo1/adf_quick_run.html for an example of a published demo Jupyter book
nbscuid-examples
Examples for nbscuid (https://github.com/rmshkv/nbscuid)
rmshkv's Repositories
rmshkv/nbscuid
Notebook-Based, Super CUstomizable Infrastructure for Diagnostics
rmshkv/mom6-tools
Tools to support analysis of CESM/MOM6 model solutions (mom6-tools)
rmshkv/nbscuid-adf-sandbox
See https://project.cgd.ucar.edu/projects/ocean-diagnostics-books/eromashkova/nbscuid-adf-sandbox-demo1/adf_quick_run.html for an example of a published demo Jupyter book
rmshkv/nbscuid-examples
Examples for nbscuid (https://github.com/rmshkv/nbscuid)
rmshkv/analysis_tools
tools for ESM analysis
rmshkv/CUPiD
Python Framework for Generating Diagnostics from CESM
rmshkv/esds
Repository for hosting material related to Earth System Data Science Initiative efforts
rmshkv/galaxy-alignment
This is a series of programs used to determine galaxy clusters' principal axes from their moments of inertia, as well as comparing these to each cluster's brightest cluster galaxy's principal axis. It runs primarily on Python, using Astropy and Matplotlib. Data are used from the PanSTARRS-1 survey.
rmshkv/my-cesm-experiment-extended
rmshkv/physical-oceanography-cookbook-datafix
Examples of how to use Xarray, Dask, and Holoviews to load, process, and visualize cloud-based ocean data. Datasets include satellite observations (gridded sea-surface height) and ocean model output (POP, MOM6).