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 · 559 citations · Full text

Engineering, Environmental Engineering, Environmental Sciences +17

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 · 203 citations · Full text

Public Health, Environmental Engineering, Environmental Sciences +17

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 · 155 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +13

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 · 154 citations · Full text

Natural Sciences, Environmental Sciences, Atmospheric Chemistry +16

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 · 127 citations · Full text

Public Health, Environmental Sciences, Air Pollution +16