Assessment of Low-Cost Sensor Correction Factors and Development of of a Global Gaussian Mixture Regression Model for Correcting Optical Low-Cost Sensor Data
Garima Raheja1, Sehrish H Mastoor2, Robert W Pinder3, Emmanuel Appoh4, Allison Felix Hughes5, Benjamin Essien5, James Nimo5, Sabi Kokou6, Sonla Hèzouwè6, Collins G Hodoli7, Albert Presto8, Michael Giordano9, R Subramanian10 and Daniel Westervelt11, (1)Columbia University of New York, Earth and Environmental Sciences, New York, NY, United States, (2)Columbia University of New York, Palisades, United States, (3)US EPA, Rtp, NC, United States, (4)Ghana Environmental Protection Agency, Accra, Ghana, (5)University of Ghana, Accra, Ghana, (6)Universite de Lome, Lome, Togo, (7)Clean Air One Atmosphere, Accra, Ghana, (8)Carnegie Mellon University, Department of Mechanical Engineering, Pittsburgh, PA, United States, (9)Drexel University, Philadelphia, PA, United States, (10)Carnegie Mellon University, Pittsburgh, PA, United States, (11)Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States
