Patrick Broxton is a hydrometeorologist and postdoctoral researcher with 11 years of experience applying GIS, hydrological modeling, and field observations to improve high-resolution water and snow datasets. Based at the University of Arizona, he led creation of the first global 1 km depth-to-bedrock estimates and developed long-term, high-resolution gridded snow products used to benchmark satellite, reanalysis, and land-model outputs. His work spans flash-flood and snowmelt modeling, global 1 km vegetation datasets integrated into WRF, and applied research translating forest structure effects on snow into a web-based decision-support tool for a local utility. Patrick combines hands-on field sampling and isotope analysis with large-scale data processing, bringing rare expertise linking plot-level processes to global model improvements.
11 years of coding experience
7 years of employment as a software developer
The University of Arizona
B.A., Geology, Math, B.A., Geology, Math at Whitman College
These functions use gdal to read and write raster data into Matlab (including providing functionality to subset, resize, and reproject the raster files before they are read).
Contributions:19 commits, 2 PRs, 17 pushes in 2 months
matlabreprojectrastersubsetgdal
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.