Steve Nesbitt

Head Of Department at University of Illinois Urbana-Champaign

Champaign, Illinois, United States
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Summary

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Senior
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Steve Nesbitt is an atmospheric scientist and department head at the University of Illinois with over three decades of expertise in clouds, precipitation, hydrometeorology, and remote sensing, now leading interdisciplinary research in data-driven analysis, machine learning, and predictive modeling. He has a strong track record securing and managing NASA, DOE, NOAA, and NSF-funded projects and has led major international field campaigns such as RELAMPAGO and CACTI while contributing to flagship satellite missions like TRMM and GPM. As an academic leader and educator he has risen from assistant professor to department head and holds a visiting and joint appointment profile spanning national labs and international institutions. He combines deep observational and instrumentation knowledge with hands-on software/data work—contributing to open-source tools like Py-ART to improve radar data ingestion and visualization. A Fellow of the American Meteorological Society and multiple award recipient, he focuses on deploying novel observational and modeling technologies to advance weather and climate risk assessment and actionable applications.
code13 years of coding experience
job23 years of employment as a software developer
bookThe University of Utah
bookMaster of Science (M.S.) Meteorology, Master of Science (M.S.) Meteorology at Texas A&M University
bookBachelor of Science (B.S.) Meteorology, Bachelor of Science (B.S.) Meteorology at State University of New York at Oswego
languagesEnglish, spanish (argentino)
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Stackoverflow

Stats
13reputation
90reached
0answers
1question
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Github Skills (9)

py10
python10
data-processing10
digital-signal-processing10
hdf9
data-visualisation9
data-visualization9
data-visualizations9
sorting6

Programming languages (8)

TypeScriptC++ShellJavaScriptFORTRANHTMLJupyter NotebookPython

Github contributions (5)

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ARM-DOE/pyart

May 2015 - Sep 2017

The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.
Role in this project:
userBack-end Developer & Data Scientist
Contributions:10 commits, 7 PRs, 53 comments in 2 years 4 months
Contributions summary:Steve primarily contributed to the `pyart` repository by adding functionality to read and process weather radar data. Specifically, the user implemented a reader for D3R GCPEX netCDF files and a SINARAME_H5 file reader. This work involved parsing data, creating radar objects, and mapping data fields, enhancing Py-ART's ability to handle diverse radar data formats. The commits also included modifications to plotting utilities, demonstrating a focus on data visualization and usability of radar data.
model-drivenpythonradar-processingradardata-driven-model
Repository for documentation for computing within the Department of Climate, Meteorology & Atmospheric Sciences at the University of Illinois
Contributions:2 reviews, 4 PRs, 4 pushes in 2 years 4 months
atmospheric-scienceuser-guides
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