I'm from Spanish Fork, Utah and currently pursuing a Ph.D. in atmospheric science at the University of Utah with anticipated graduation in Summer 2019. My advisor is Dr. John Horel. I joined the Mountain Meteorology Research Group and MesoWest in November 2012.



Speaking, writing, teaching, public outreach, documentation, Slack, type 80+ words per minute


Started a Python User Group for our department. Skilled in Python 2.7 and Python 3, numpy, matplotlib, Basemap, scipy, datetime, multiprocessing, pyproj, pygrib, xarray, metpy, Jupyter Notebook/Lab, Anaconda, publication-quality figures. View code on GitHub.


High Performance Computing, High Throughput Computing, modules, shell scripting, cron, slurm, git, Docker

Big Data

Data management, data stewardship, data retrieval/acquisition, NetCDF, HDF5, GRIB2, data analysis, HTCondor, Open Science Grid, S3, Globus, Amazon Web Services, rclone, numerical weather models, HRRR, weather satellites, GOES16, MODIS

Weather Research and Forecast Model

Initialize with HRRR, lake breeze, tracers, land surface modifications, UofU WRF User Group, Basic WRF Tutorial certificate

Environmental Instrumentation

Campbell Scientific, Davis Instruments, air quality, field work, data collection

Web Development

HTML, CSS, JavaScript, Bootstrap, PHP, Python CGI, Font Awesome, Photoshop, Illustrator


Windows, Office 365, VSCode

Current Research

I have developed an unofficial HRRR archive for various research purposes in the MesoWest group and have made the archive available to the public. There are almost 300 known archive users.

My current research involves investigating convective outflow predictability by the HRRR model, a project funded through the Joint Fire Science Program. I use data from the GOES-16 Advanced Baseline Imager and Geostationary Lightning Mapper extensively for validation. My other interests involve evaluating high resolution weather models for various applications including wild fire management, mesoscale weather, and air quality. I have initialized WRF simulations with the HRRR model and modified surface parameters to improve model performance.

You will find more details on my research by exploring the pages on this website and several Jupyter Notebooks on Github.

Career Goals

I believe weather data can be used for many applications, and I hope to serve people in various fields with improved numerical weather prediction. I am especially interested in 0-3 day forecasts. My dream of numerical weather models is to one day have a continuously updating weather prediction system.

While there seems to be deficiencies in the United States' current numerical weather prediction capabilities, I want to be a part of the solution by using new and forthcoming technology effectively and efficiently.

I hope to become more involved in big data storage and analytics, community numerical weather prediction model development especially rapid refresh forecast system with FV3, and using new observational products for model initial conditions (like GOES-R series).

I am a problem solving leader, eager to learn and develop new skills. I have a teamwork mentality and want to contribute to the community. Education is important to me, and I am interested in gaining teaching experience.


Curriculum Vitae

Highest Bowling Score: 228

Favorite text editor: Visual Studio Code

Personal Weather Station: UKBKB (a.k.a. EW2355)