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 interface to the Remote Sensing Information Gateway

Access EPA, NOAA, and NASA data: from surface monitors to the latest satellites in familiar pandas and xarray objects.

https://github.com/barronh/pyrsig

AirFuse

Combines air quality model forecasts (NASA or NOAA) with surface observations (EPA) and low-cost sensors (PurpleAir) to create a best estimate map

https://github.com/barronh/airfuse

Python Environment for Reaction Mechanism/Mathematics

Network-based queries of chemical mechanisms (Carbon Bond, GEOS-Chem, MCM, etc)

http://github.com/barronh/permm

Air Quality Model Boundary Conditions

How does a regional air quality model (e.g, US) represent pollutant transport (e.g, from Asia)? aqmbc creates model boundary conditions from global models to fill that need.

https://github.com/barronh/aqmbc

(previous options: http://github.com/barronh/geos2cmaq; http://github.com/barronh/pygeos2cmaq)

PseudoNetCDF Python Library

Do you like air quality models? Do you struggle with the many custom binary formats? PseudoNetCDF presents a netcdf-like interface to data from many, many, many formats (CAMx, GEOS-Chem, CMAQ, AERMOD, GEOS, ICARTT, HYSPLIT, ...)

http://github.com/barronh/pseudonetcdf

Python-based Kinetic Pre-Processor

http://github.com/barronh/pykpp