Software

The key to analysis of simulation datasets is software infrastructure. Below are my packages, packages I contributed to, and some all time favorites. Some tutorials are also available.

PRIMARY DEVELOPER:

Python Environment for Reaction Mechanism/Mathematics

http://github.com/barronh/permm

Python-based Process Analysis

http://github.com/barronh/pypa

PseudoNetCDF Python Library

http://github.com/barronh/pseudonetcdf

Python-based Kinetic Pre-Processor

http://github.com/barronh/pykpp

GEOS2CMAQ (obviated by pseudonetcdf's pncglobal2cmaq script)

http://github.com/barronh/geos2cmaq

http://github.com/barronh/pygeos2cmaq

CONTRIBUTOR:

NetCDF Java Library

http://www.unidata.ucar.edu/software/netcdf-java/

Python-based Performance Analysis Supporting System

https://dawes.sph.unc.edu/trac/pyPASS

Dynamically Simple Model of Atmospheric Chemical Complexity

http://github.com/barronh/DSMACC

Wisconsin Horizontal Interpolation Program for Satellites

http://github.com/barronh/WHIPS

matplotlib

http://github.com/matplotlib/

FAVORITES BY OTHERS:

NumPy

http://numpy.scipy.org/

SciPy

http://www.scipy.org/

NetCDF Operators (NCO)

http://nco.sourceforge.net/

Climate Data Operators

https://code.zmaw.de/projects/cdo