Assessment of Atmospheric Ozone from Reanalysis and Ground-based Measurements in the Baikal Region

The machine learning model used to predict ozone concentrations at the Listvyanka monitoring station in the Baikal region is described. The model was trained and verified using automatic ground-based gas analyzer ozone measurements. Random forest and boosting machine learning models were used. Accor...

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Veröffentlicht in:	Russian meteorology and hydrology 2024-04, Vol.49 (4), p.370-374
Hauptverfasser:	Smetanina, A. M., Gromov, S. A., Obolkin, V. A., Khodzher, T. V., Khuriganova, O. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Air temperature Atmospheric Sciences Earth and Environmental Science Earth Sciences Emission measurements Gas analyzers Learning algorithms Machine learning Meteorology Ozone Ozone measurements Vegetation
Online-Zugang:	Volltext
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