David Delene

Research Professor at University of North Dakota

Grand Forks, North Dakota, United States
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Summary

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Senior
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Top School
David Delene is a research professor specializing in atmospheric aerosols, cloud physics, satellite remote sensing, and the links between air pollution and climate. With over two decades of academic and field experience at the University of North Dakota and prior research roles at institutions like CIRES and the University of Wyoming, he blends in-situ measurements, aircraft campaigns, and satellite retrievals to improve climate and cloud microphysics models. He focuses on how aerosols and cloud condensation nuclei modulate radiation, cloud lifetime, and precipitation, and on synthesizing observational datasets to reduce uncertainties in satellite products. David has hands-on expertise developing scientific code (C, Matlab, IDL, Fortran) for instrument calibration, data processing, and remote sensing retrievals—skills rooted in his early balloon-borne and volcanic ash remote-sensing work. Collaborative by practice, he routinely partners with interdisciplinary teams to translate measurements into model-ready diagnostics that advance understanding of anthropogenic climate impacts.
code10 years of coding experience
job15 years of employment as a software developer
bookMaster of Science in Geophysics, GPA 3.62/4.0, Master of Science in Geophysics, GPA 3.62/4.0 at Michigan Technological University
bookPh.D., Atmospheric Sciences, Ph.D., Atmospheric Sciences at University of Wyoming
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Github Skills (8)

airborne9
simulation8
physics7
python6
stable5
data-wrangling4
data-visualization3
data-visualisation2

Programming languages (2)

ShellPython

Github contributions (5)

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daviddelene/CoPAS

Dec 2016 - Sep 2022

Project to facilitate the installation, setup, and integration of packages related to cloud physics, in-situ airborne data.
Contributions:1 release, 70 commits, 60 pushes in 5 years 9 months
physicspythonairbornein-situinstallation
Contributions:1 push, 1 branch in 1 day
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