Zachary Moon

I am a PhD atmospheric scientist with a keen interest in scientific programming and open-source software.

Currently, I am working as a Scientific Software Engineer for NOAA ARL (as a contractor, employed by ERT, Inc.). Our group primarily works on research and development for the National Air Quality Forecast, focusing on surface processes like emission and deposition. I develop and maintain projects such as the model evaluation tools MONET, MONETIO, and MELODIES MONET, and the atmospheric emissions system NEXUS.

From fall 2024, I also have a partial appointment at Texas A&M University as a Research Scientist.

This year, I hope to advance some of my music-related personal projects.

Projects

I have contributed in (mostly) small ways to different parts of the open-source scientific programming ecosystem (including xarray, pandas, fortran-lang, etc.). Here, I list some of my personal programming/software projects.

• PyABC2 — extract some information from tunes in ABC notation and work with musical notes and keys
• melplot — plot melodeon layout diagrams
• stringcalc — calculations for string instruments. Currently includes a Python API and CLI, with other interfaces planned.
• thrower-segovia-diagrams — remaking Sean Thrower's Segovia Scales diagrams (and maybe later extending to other tunings, etc.)

• uscrn — Python package for loading U.S. Climate Reference Network data into pandas and xarray, with variable attributes and descriptions and examples
• TAMS — MCS tracking and analysis in Python, a project with Kelly Núñez Ocasio
• epa-regions-python — EPA region definitions with GeoPandas / regionmask, for assigning point or gridded data
• very-basic-nuopc-example — NUOPC toy model experiments

• crt1d — implements a variety of 1-D canopy radiative transfer schemes and provides a framework for using them easily and tools for comparing their results
• vorts — integrating a system of point vortices with different languages and numerical methods
• zmoon.github.io/bonanmodeling/ — code samples from the textbook Climate Change and Terrestrial Ecosystem Modeling (2019) organized and executed, with outputs provided
• screen3 — Python wrapper for the EPA SCREEN3 point source dispersion model
• blpd — Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents
• boxmod — simple chemical box model and mechanism analysis tools
• savefigs — provides a function to automatically save all open Matplotlib figures
• CLM-ml-mb — multi-band radiative transfer in Gordon Bonan's 1-D canopy model

• zmoon.github.io/FortranTipBrowser/ — Sphinx site for the @FortranTip tips
• nbv — read-only viewing of Jupyter Notebooks in the web browser using nbconvert
• aoc — my Advent of Code solutions, currently mainly Python, + some Julia and Fortran