Version 1
: Received: 31 October 2022 / Approved: 2 November 2022 / Online: 2 November 2022 (07:03:09 CET)
Version 2
: Received: 1 December 2022 / Approved: 2 December 2022 / Online: 2 December 2022 (08:52:08 CET)
Version 3
: Received: 22 December 2022 / Approved: 23 December 2022 / Online: 23 December 2022 (07:27:12 CET)
How to cite:
Papkova, A.S.; Shybanov, E.B. Correction of Sea Brightness Coefficient Satellite Data in the Presence of Dust. Preprints2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v3
Papkova, A.S.; Shybanov, E.B. Correction of Sea Brightness Coefficient Satellite Data in the Presence of Dust. Preprints 2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v3
Papkova, A.S.; Shybanov, E.B. Correction of Sea Brightness Coefficient Satellite Data in the Presence of Dust. Preprints2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v3
APA Style
Papkova, A.S., & Shybanov, E.B. (2022). Correction of Sea Brightness Coefficient Satellite Data in the Presence of Dust. Preprints. https://doi.org/10.20944/preprints202211.0049.v3
Chicago/Turabian Style
Papkova, A.S. and Evgeny Borisovich Shybanov. 2022 "Correction of Sea Brightness Coefficient Satellite Data in the Presence of Dust" Preprints. https://doi.org/10.20944/preprints202211.0049.v3
Abstract
Satellite measurements are one of the main sources of data on the state of the marine environment. To obtain information about the sea brightness coefficient , it is needed to correctly carry out atmospheric correction.In the presence of dust aerosol over the Black Sea, physically incorrect values of the spectral brightness coefficient often occur, and specifically negative values in the IR region of the spectrum. The main objective of the study is to evaluate the influence of dust aerosol on the spectral dependence of sea brightness, based on analytical calculations from the transfer theory using the principle of plane-parallel layers and results of validation of AERONET-OC field and remote sensing data. The work analyzes spectral dependence of the first error eigenvector of the standard atmospheric correction in the presence of dust aerosol. As result it is given that with an absorbing aerosol, the atmospheric correction error is described by the spectral course of molecular scattering, i.e. close to
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
23 December 2022
Commenter:
Anna Papkova
Commenter's Conflict of Interests:
Author
Comment:
In the new version of the work, the mathematical part is described differently and the optical characteristics of the dusty aerosol are considered more.
Commenter: Anna Papkova
Commenter's Conflict of Interests: Author