Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment

Luiz Angelo Steffenel; Vagner Anabor; Damaris Kirsch Pinheiro; Lissette Guzman; Gabriela Dornelles Bittencourt; Hassan Bencherif

doi:10.1007/s10994-020-05944-x

Journal articles

Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment

Luiz Angelo Steffenel ¹ Vagner Anabor ² Damaris Kirsch Pinheiro ² Lissette Guzman ² Gabriela Dornelles Bittencourt ² Hassan Bencherif ³

1 LICIIS - Laboratoire d'Informatique en Calcul Intensif et Image pour la Simulation

2 UFSM - Universidade Federal de Santa Maria

3 LACy - Laboratoire de l'Atmosphère et des Cyclones

Document type :

Journal articles

Domain :

Computer Science [cs] / Artificial Intelligence [cs.AI]

Sciences of the Universe [physics] / Ocean, Atmosphere

Sciences of the Universe [physics] / Earth Sciences / Climatology

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

Complete list of metadata

https://hal.univ-reims.fr/hal-03160652
Contributor : Luiz Angelo Steffenel <>
Submitted on : Friday, March 5, 2021 - 1:50:42 PM
Last modification on : Monday, April 5, 2021 - 2:26:14 PM

Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment

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Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment

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