Sep 29, 2012 · In this study, an artificial neural network (ANN)-based methodology for treating missing data in OMI satellite images is proposed. Cloud ...

In this paper, the AOD measurements of the Ozone Monitoring Instrument (OMI) are assimilated with Polyphemus model. In order to overcome missing satellite data, ...

Enhancement of OMI aerosol optical depth data assimilation using artificial neural network. ... a methodology for preprocessing AOD based on neural network ...

Enhancement of OMI aerosol optical depth data assimilation using artificial neural network. https://doi.org/10.1007/s00521-012-1178-9 ·.

The results show that the assimilation of AOD observations significantly improves the forecast for total mass. The errors on aerosol chemical composition are ...

Apr 25, 2024 · Mohamed Fahmy Tolba : Enhancement of OMI aerosol optical depth data assimilation using artificial neural network. Neural Comput. Appl. 23(7 ...

In this study, we investigate the possibility of using a coupled meteorology–aerosol data assimilation (DA) to improve the forecast of a dust storm.

perform aerosol data assimilation that uses passive-based aerosol optical depth (AOD) products ... fast look-up-table extraction based on neural-networks and ...

A. Ali et al. Enhancement of OMI aerosol optical depth data assimilation using artificial neural network. Neural. Comput. Appl. (2013). D. Barker et al. The ...

Dec 9, 2024 · The purpose of this work is to use the AI and aerosol absorption optical depth (AAOD) derived from the Ozone Monitoring Instrument (OMI) ...