==Licence==
https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/legalcode.txt
Simulation
- https://math.stackexchange.com/questions/446093/generate-correlated-normal-random-variables
- https://www.r-bloggers.com/easily-generate-correlated-variables-from-any-distribution-without-copulas/
- http://hosting.astro.cornell.edu/~cordes/A6523/GeneratingCorrelatedRandomVariables.pdf
- https://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.cholesky.html
- https://docs.scipy.org/doc/numpy/reference/generated/numpy.lib.Arrayterator.html
- https://unidata.github.io/netcdf4-python/netCDF4/index.html
- https://github.com/Unidata/netcdf4-python
- https://www.youtube.com/watch?v=BO76QisYOxo
==NetCDF==
- https://nbviewer.jupyter.org/github/ouwxguy40/notebooks/blob/master/ASR_PI_2014/ARM%20NetCDF%20and%20Python%20Tutorial.ipynb?create=1
- https://www.unidata.ucar.edu/software/netcdf/fan_utils.html
==Python==
- Jupyter: https://jupyter.org/
- Scipy stack, including matplotlib and numpy: https://www.scipy.org/
- Info on netCDF: https://www.unidata.ucar.edu/
- Xarray: http://xarray.pydata.org/en/stable/
- https://www.giss.nasa.gov/tools/panoply/download/
==Chapel==
==References==
- https://www.wikiwand.com/en/Standard_normal_table
- https://cockrum.net/code.html#TrueRNG_gaussian
- https://www.wikiwand.com/en/Box%E2%80%93Muller_transform
- https://www.wikiwand.com/en/Cholesky_decomposition
==Prerequisites==
==Application==