Assessment of the Error in Satellite Measurements of Atmosphere Optical Characteristics and Remote Sensing Reflectance of the Sea of Japan for Spring Period, 2023

D. V. Kalinskaya✉, A. S. Papkova

Marine Hydrophysical Institute of RAS, Sevastopol, Russian Federation

✉ e-mail: kalinskaya_d_v@mail.ru

Abstract

Purpose. The purpose of the study is to assess the errors in satellite measurements of atmospheric optical characteristics and remote sensing reflectance of the Sea of Japan in the presence of dust aerosol in the atmosphere.

Methods and Results. To perform a comparative analysis and to assess the error in satellite measurements of atmospheric optical characteristics and remote sensing reflectance, the following information was used: photometric measurement data from the AERONET international aerosol monitoring network, the MODIS/Aqua spectroradiometer, and the VIIRS radiometer on the Suomi NPP satellite; data from NOAA-20 and NOAA-21 on the concentration of suspended particles PM2.5 and PM10 derived from modeling of atmospheric dynamics (data of the HYSPLIT and SILAM models). A comparative analysis of satellite and in situ data made it possible to identify the dates of anomalous dust impact on the remotely determined optical characteristics of water. Besides, different estimates of the area covered completely and partially by dust were obtained on one and the same day. This confirms different aerosol loading in the atmosphere over the Sea of Japan, as well as the spatial variability of the main aerosol optical characteristics during dust transport from the Asian deserts.

Conclusions. A comparative analysis of satellite and in situ photometric data has supported the fact that in the presence of dust transport, the error of standard atmospheric correction increases sharply in the UV part of the spectrum. Calculation and approximation of the obtained values using a power-law function show that for the entire region of the Sea of Japan, the value of atmospheric correction error is of the form λ-7. As for the studied dust episode, the analytically assessed error in the VIIRS/NOAA satellite measurements of the sea remote sensing reflectance constitutes approximately 70% in the shortwave part of the spectrum, up to 47% in the visible part of the spectrum, and 24% in the long-wave part of the spectrum, relative to the in situ-measured values of this characteristic.

Keywords

AERONET, Sea of Japan, dust aerosol, optical characteristics, remote sensing reflectance, atmospheric correction of remote sensing reflectance

Acknowledgements

The study was carried out within the framework of the theme of the state assignment of FSBSI FRC MHI FNNN-2024-0012 “Analysis, nowcast and forecast of the state of hydrophysical and hydrochemical fields of marine water areas based on mathematical modeling using the data of remote and contact measurement methods”. The author is grateful to S.M. Sakerin and D.M. Kabanov for providing the SPM photometer and its software, as well as to Tom Kucsera, Brent Holben, Giuseppe Zibordi and the group of Gene Feldman (NASA) for providing the AOD data, and calculating the BTA data.

About the authors

Daria V. Kalinskaya, Junior Researcher, Marine Hydrophysical Institute of RAS (2 Kapitanskaya Str., Sevastopol, 299011, Russian Federation), Scopus Author ID: 56380591500, SPIN-code: 2622-1010, WoS ResearcherID: G-2959-2017, kalinskaya@mhi-ras.ru

Anna S. Papkova, Junior Researcher, Marine Hydrophysical Institute of RAS (2 Kapitanskaya Str., Sevastopol, 299011, Russian Federation), CSc. (Phys.-Math.), Scopus Author ID: 57203015832, SPIN-code: 1683-7685, WoS ResearcherID: AAP-3248-2020, hanna.papkova@gmail.com

Original russian text

Original Russian Text © D. V. Kalinskaya, A. S. Papkova, 2026, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 42, Iss. 1, pp. 144–161 (2026)

For citation

Kalinskaya, D.V. and Papkova, A.S., 2026. Assessment of the Error in Satellite Measurements of Atmosphere Optical Characteristics and Remote Sensing Reflectance of the Sea of Japan for Spring Period, 2023. Physical Oceanography, 33(1), pp. 185-200.

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