Pinned Repositories
code-tools
compilation helper tools
dask
Parallel computing with task scheduling
dot-profile-setup
setup for ssm environment
EC-CAS-diags
Generates plots and movies for the EC-CAS project at Environment and Climate Change Canada
fstd2nc
Converts RPN standard files (from Environment Canada) to netCDF.
pygeode
Python package for dealing with large gridded datasets
pygeode-rpn
Interface for reading RPN files in PyGeode
python-rpn-libsrc
Recipe for building the shared libraries that are needed for running Python-RPN on external systems.
python-rpn-wheel
Packaging recipe for Python-RPN.
pygeode
Python package for dealing with large gridded datasets
neishm's Repositories
neishm/fstd2nc
Converts RPN standard files (from Environment Canada) to netCDF.
neishm/python-rpn-wheel
Packaging recipe for Python-RPN.
neishm/pygeode
Python package for dealing with large gridded datasets
neishm/pygeode-rpn
Interface for reading RPN files in PyGeode
neishm/code-tools
compilation helper tools
neishm/dask
Parallel computing with task scheduling
neishm/dot-profile-setup
setup for ssm environment
neishm/EC-CAS-diags
Generates plots and movies for the EC-CAS project at Environment and Climate Change Canada
neishm/python-rpn-libsrc
Recipe for building the shared libraries that are needed for running Python-RPN on external systems.
neishm/gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
neishm/gem
The Global Environmental Multiscale Model (GEM) is an integrated forecasting and data assimilation system developed by the Atmospheric Numerical Prediction Research Section, Meteorological Research Division, of Environment and Climate Change Canada.
neishm/gem-data-lite
Recipe for constructing a minimal data package for GEM
neishm/librmn
Collection of routines for numerical weather prediction
neishm/pydap
A Python library implementing the Data Access Protocol (DAP, aka OPeNDAP or DODS).
neishm/pygeode-docs
Source for the PyGeode documentation
neishm/python-rpn
Python RPN (RPNpy) is a collection of Python modules and scripts developed at RPN for scientific use.
neishm/python-rpn-unforked
This is totally not a fork of python-rpn, and I'm totally not doing this just to work around a defficiency with git-lfs on forks.
neishm/rmnlib-install
neishm/rmnlib-install-docker
Dockerfile for building rmnlib-install (https://github.com/mfvalin/rmnlib-install)
neishm/rpncomm
MPI based communication routines for models
neishm/ssmuse_fork
neishm/xarray
N-D labeled arrays and datasets in Python