A framework for advancing independent air quality sensor measurements via transparent data generating process classification

A framework for advancing independent air quality sensor measurements via transparent data generating process classification

Abstract We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products...

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Bibliographic Details
Main Authors: Sebastian Diez, Thomas J. Bannan, Miriam Chacón-Mateos, Pete M. Edwards, Valerio Ferracci, Doğuşhan Kılıç, Alastair C. Lewis, Carl Malings, Nicholas A. Martin, Olalekan Popoola, Colleen Rosales, Sean Schmitz, Philipp Schneider, Erika von Schneidemesser
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-025-01161-2
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