Affiliation:
1. Marine Hydrophysical Institute of the Russian Academy of Sciences, 2 Kapitanskaya St., 299011 Sevastopol, Russia
Abstract
This paper is the first to examine the operation of the HawkEye satellite in the presence of dust aerosol. The study region is the Black Sea. Dust transport dates were identified using visual inspection of satellite imagery, back-kinematic HYSPLIT trajectory analysis, CALIPSO aerosol stratification and typing maps, and the global forecasting model SILAM. In a comparative analysis of in-situ and satellite measurements of the remote sensing reflectance, an error in the atmospheric correction of HawkEye measurements was found both for a clean atmosphere and in the presence of an absorbing aerosol. It is shown that, on average, the dependence of the atmospheric correction error on wavelength has the form of a power function of the form from λ−3 to λ−9. The largest errors are in the short-wavelength region of the spectrum (412–443 nm) for the dust and dusty marine aerosol domination dates. A comparative analysis of satellite and in situ measurements of the optical characteristics of the atmosphere, namely the AOD and the Ångström parameter, was carried out. It is shown that the aerosol model used by HawkEye underestimates the Angström parameter and, most likely, large errors and outliers in satellite measurements are associated with this.
Funder
Marine Hydrophysical Institute RAS
Reference70 articles.
1. Localization of aerosol sources in East-European region by back-trajectory statistics;Kabashnikov;Int. J. Remote Sens.,2014
2. Kalinskaya, D.V., and Papkova, A.S. (2022). Why Is It Important to Consider Dust Aerosol in the Sevastopol and Black Sea Region during Remote Sensing Tasks? A Case Study. Remote Sens., 14.
3. Application of aerosol classification methods based on AERONET version 3 product over eastern Mediterranean and Black Sea;Ozdemir;Atmos. Pollut. Res.,2020
4. Optical Features of the Black Sea Aerosol and the Sea Water Upper Layer Based on In Situ and Satellite Measurements;Suslin;Phys. Oceanogr.,2016
5. Papkova, A., Papkov, S., and Shukalo, D. (2021). Prediction of the Atmospheric Dustiness over the Black Sea Region Using the WRF-Chem Model. Fluids, 6.