C
Carl Malings
Researcher at Goddard Space Flight Center
Publications - 30
Citations - 760
Carl Malings is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Value of information & Air quality index. The author has an hindex of 11, co-authored 29 publications receiving 405 citations. Previous affiliations of Carl Malings include Centre national de la recherche scientifique & University of Paris.
Papers
More filters
Journal ArticleDOI
Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation
Carl Malings,Rebecca Tanzer,Aliaksei Hauryliuk,Provat K. Saha,Allen L. Robinson,Albert A. Presto,R. Subramanian +6 more
TL;DR: In this paper, low-cost sensors for the measurement of fine particulate matter mass (PM2.5) enable dense networks to increase the spatial resolution of air quality monitoring.
Journal ArticleDOI
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,Sriniwasa P. N. Kumar,Naomi Zimmerman,Levent Burak Kara,Albert A. Presto,R. Subramanian +7 more
TL;DR: This study compares various algorithms to calibrate the RAMP measurements including linear and quadratic regression, clustering, neural networks, Gaussian processes, and hybrid random forest–linear regression models to help guide future efforts in the calibration and use of low-cost sensor systems worldwide.
Journal ArticleDOI
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Michael R. Giordano,Carl Malings,Spyros N. Pandis,Albert A. Presto,V. F. McNeill,Daniel M. Westervelt,Daniel M. Westervelt,Matthias Beekmann,R. Subramanian +8 more
TL;DR: In this article, the authors review the needs and challenges when trying to get high-quality data from low-cost sensors and present a set of best practices to follow to obtain high quality data from these sensors.
Journal ArticleDOI
Value of information for spatially distributed systems: Application to sensor placement
Carl Malings,Matteo Pozzi +1 more
TL;DR: This paper illustrates first how sensor placements depend on the decision-making problem to be addressed, as encoded in a problem-specific loss function, and second how the complexity of VoI computations is impacted by this loss function's characteristics.
Journal ArticleDOI
Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations.
Provat K. Saha,Naomi Zimmerman,Carl Malings,Aliaksei Hauryliuk,Zhongju Li,Luke Snell,R. Subramanian,Eric M. Lipsky,Joshua S. Apte,Allen L. Robinson,Albert A. Presto +10 more
TL;DR: Measurements of particle number and other air pollutant concentrations at 32 sites in Pittsburgh, Pennsylvania during the winters of 2017 and 2018 show that the local spatial variations in particle number concentrations are dictated by concentrations of particles smaller than 50 nm.