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

Diez, Sebastian; Bannan, Thomas; Chacón, Miriam; Edwards, Pete; Ferracci, Valerio; Kılıç, Doğuşhan; Lewis, Alastair; Malings, Carl; Martin, Nicholas; Popoola, Olalekan; Rosales, Colleen; Schmitz,  Sean; Schneider, Philipp; Von Schneidemesser, Erika

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

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Aframework for advancing independent air quality sensor measurements via transparent data generating process classification.pdf (621.02 KB)

Date

2026

Type:

Article

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Artículos Ingeniería

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4

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9

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Gestores bibliográficos

Authors

Diez, Sebastian

Bannan, Thomas

Chacón, Miriam

Edwards, Pete

Ferracci, Valerio

Kılıç, Doğuşhan

Lewis, Alastair

Malings, Carl

Martin, Nicholas

Popoola, Olalekan

item.page.doiurl

https://doi.org/10.1038/s41612-025-01161-2

URI

https://hdl.handle.net/11447/11222

item.page.accessRights

Acceso Abierto

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....

Citation

Diez, S., Bannan, T.J., Chacón-Mateos, M. et al. A framework for advancing independent air quality sensor measurements via transparent data generating process classification. npj Clim Atmos Sci 8, 285 (2025). https://doi.org/10.1038/s41612-025-01161-2

Keywords

Quality sensor measurements

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