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Daniel Horton
Northwestern UniversityMeeting roles in:
Identification of idling heavy-duty trucks based on geophone data
From Watts to Wheels: Comparing electrification pathways of light- and heavy-duty vehicles in the U.S. Midwest – assessing air quality, public health, and equity outcomes
InMAP-Based Intercomparison of Simulated PM2.5 and NOx Concentrations over the Greater Chicago Region Using Four Different On-Road Emission Estimates
Precipitation Uncertainties in the Context of Post-Fire Debris-Flow Triggering Thresholds
Spectral Unmixing and Multi-Year Remote Sensing to Improve Evapotranspiration Modeling in Semi-Arid Regions
Exploring solutions to heavy-duty vehicle air pollution using the SMOKE-MOVES-WRF-CMAQ modeling framework at high resolution
Applying machine learning and statistical modeling approaches to remote sensing observations for inferring surface-level NO2
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