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Operational ozone forecasting system in Mexico City: A machine learning framework integrating forecasted weather and historical ozone data

Zavala-Romero, Olmo / Segura-Chavez, Pedro A. / Camacho-Gonzalez, Pablo / Zavala-Hidalgo, Jorge / Garcia, Agustin R. / Oropeza-Alfaro, Pavel / Romero-Centeno, Rosario / Gomez-Ramos, Octavio

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Operational ozone forecasting system in Mexico City: A machine learning framework integrating forecasted weather and historical ozone data

Zavala-Romero, Olmo / Segura-Chavez, Pedro A. / Camacho-Gonzalez, Pablo / Zavala-Hidalgo, Jorge / Garcia, Agustin R. / Oropeza-Alfaro, Pavel / Romero-Centeno, Rosario / Gomez-Ramos, Octavio

Operational ozone forecasting system in Mexico City: A machine learning framework integrating forecasted weather and historical ozone data

Zavala-Romero, Olmo / Segura-Chavez, Pedro A. / Camacho-Gonzalez, Pablo / Zavala-Hidalgo, Jorge / Garcia, Agustin R. / Oropeza-Alfaro, Pavel / Romero-Centeno, Rosario / Gomez-Ramos, Octavio

Zugriff

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Operational ozone forecasting system in Mexico City: A machine learning framework integrating forecasted weather and historical ozone data

Weitere Titelangaben:

Atmospheric Environment

Beteiligte:

Zavala-Romero, Olmo (Autor:in) / Segura-Chavez, Pedro A. (Autor:in) / Camacho-Gonzalez, Pablo (Autor:in) / Zavala-Hidalgo, Jorge (Autor:in) / Garcia, Agustin R. (Autor:in) / Oropeza-Alfaro, Pavel (Autor:in) / Romero-Centeno, Rosario (Autor:in) / Gomez-Ramos, Octavio (Autor:in)

Erschienen in:

Atmospheric Environment ; 344 ; 121017

Erscheinungsdatum:

01.03.2025

ISSN:

DOI:

https://doi.org/10.1016/j.atmosenv.2024.121017

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

http://creativecommons.org/licenses/by-nc/4.0/

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