Naomi Zimmerman

A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring

Naomi Zimmerman, Albert A. Presto, Sriniwasa P. N. Kumar et al. · Atmospheric measurement techniques · 2018 · 537 citations · Full text

Environmental Monitoring, Engineering, Air Pollution Measurement +24

Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring

Carl Malings, Rebecca Tanzer, Aliaksei Hauryliuk et al. · Atmospheric measurement techniques · 2019 · 197 citations · Full text

Environmental Monitoring, Engineering, Air Pollution Measurement +23

Methane Emissions from Natural Gas Production Sites in the United States: Data Synthesis and National Estimate

Mark Omara, Naomi Zimmerman, Melissa R. Sullivan et al. · Environmental Science & Technology · 2018 · 151 citations · Full text

Light‐absorbing properties of ambient black carbon and brown carbon from fossil fuel and biomass burning sources

Robert M. Healy, J. M. Wang, Cheol–Heon Jeong et al. · Journal of Geophysical Research Atmospheres · 2015 · 147 citations · Full text

Engineering, Brown Carbon, Air Quality +20

Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors

Zhongju Li, Peishi Gu, Qing Ye et al. · Atmospheric Environment X · 2019 · 125 citations · Full text

Air Sampling, Environmental Monitoring, Engineering +15