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/pypaPseudoNetCDF Python Library http://github.com/barronh/pseudonetcdfPython-based Kinetic Pre-Processor GEOS2CMAQ (obviated by pseudonetcdf's pncglobal2cmaq script)
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
Wisconsin Horizontal Interpolation Program for Satellites
matplotlib
http://github.com/matplotlib/
FAVORITES BY OTHERS: NumPy http://numpy.scipy.org/ SciPy
NetCDF Operators (NCO)
Climate Data Operators
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