статья в журнале

En

FLUIDS
eSSN:2311-5521

2021

Papkov, S.²

10.3390/fluids6060201

To make a reliable forecast for the level of dust, many external factors such as the windenergy and the soil content in the moisture must be considered. The numerical prediction of theBlack sea region's content of dust is the focus of this study, and for this purpose, the WRF-Chemmodel is used. The investigation is based on the statistics of the prediction coincidence and the actualresult extracted from the data of the backward trajectories of AERONET and aerosol stratificationmaps in the atmosphere constructed with the help of the CALIPSO satellite. A comprehensive set ofdata was collected, and a comparative analysis of the results was carried out using machine learningtechniques. The investigation identified 89% hits in the prediction of dust events, which is a verysatisfactory result.

IR QUALITY, UST AEROSOL, RF-CHEM, ERONET, EROSOL OPTICAL THICKNESS, ALIPS