Abstract
In this paper, we consider the problem of determining the aerosol optical depth above the sea surface using the data of short-wavelength channels of the multizone low-resolution scanning instrument of the Meteor-M No. 2 satellite. The algorithm is based on the use of an optical model, which is a six-dimensional lookup table containing information about spectral brightness coefficients of satellite instrument channels for various atmospheric conditions and observation geometry. The results are validated, showing an 80% correlation with the reference data of the AERONET measurement network.
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REFERENCES
Andreev, A.I., Shamilova, Yu.A., and Kholodov, E.I., Using convolutional neural networks for cloud detection from Meteor-M No. 2 MSU-MR data, Russ. Meteorol. Hydrol., 2019, vol. 44, no. 7, pp. 459–466. https://doi.org/10.3103/S106837391907004
Asarin, A.E., Balonishnikova, Zh.A., Bitkov, L.M., Bulygina, O.N., Bugrov, L.Yu., Vinogradova, V.V., Gavrilova, S.Yu., Ganyushkin, D.A., Ginzburg, A.I., Georgievskii, M.V., Glazovskii, A.F., Govorkova, V.A., Golovanov, O.F., Golod, M.P., Grebenets, V.I., et al., Vtoroi otsenochnyi doklad Rosgidrometa ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiiskoi Federatsii (Second Assessment Report by Rosgidromet on Climate Changes and Their Consequences in the Territory of the Russian Federation) Moscow: Rosgidromet, 2014.
Born, M. and Wolf, E., Principles of Optics, Oxford: Pergamon, 1975.
Buras, R., Dowling, T., and Emde, C., New secondary-scattering correction in DISORT with increased efficiency for forward scattering, J. Quant. Spectrosc. Radiat. Transfer, 2011, vol. 112, no. 12, pp. 2028–2034. https://doi.org/10.1016/j.jqsrt.2011.03.019
Cox, C. and Munk, W., Statistics of the sea surface derived from sun glitter, J. Mar. Res., 1954, vol. 13, pp. 198–227.
Emde, C., Buras-Schnell, R., Kylling, A., Mayer, B., Gasteiger, J., Hamann, U., Kylling, J., Richter, B., Pause, C., Dowling, T., and Bugliaro, L., The libradtran software package for radiative transfer calculations (version 2.0.1), Geosci. Model Dev., 2016, vol. 9, no. 5, pp. 1647–1672. https://doi.org/10.5194/gmd-9-1647-2016
Filei, A.A., Rublev, A.N., and Zaitsev, A.A., Radiometric cross-calibration of shortwave channels of Multi-Channel Scanning Unit on board Meteor-M No. 2 relative to spectroradiometer AVHRR onboard Metop-A, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2016, vol. 13, no. 6, pp. 251–263.
Koepke, P., Effective reflectance of oceanic whitecaps, A-ppl. Opt., 1984, vol. 23, no. 11, pp. 1816–1824. https://doi.org/10.1364/ao.23.001816
Kuchma, M.O. and Bloshchinskiy, V.D., Algorithm for the atmospheric correction of shortwave channels of the MSU-MR radiometer of the Meteor-M No. 2 satellite, Izv., Atmos. Ocean. Phys., 2020, vol. 56, pp. 909–915. https://doi.org/10.1134/S0001433820090145
Kuchma, M.O., Lotareva, Z.N., and Slesarenko, L.A., Sea ice cover detection of the Far Eastern seas by data of the MSU-MR radiometer of the Meteor-M No. 2 satellite, Izv., Atmos. Ocean. Phys., 2021, vol. 57, no. 9, pp. 1179–1187. https://doi.org/10.1134/S0001433821090528
Levy, R., Remer, L., Tanre, D., Mattoo, S., and Kaufman, Y., Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS: Collections 005 and 051: Product id: MOD 04 / MYD 04, NASA, 2009. Rev. 2, p. 87.
Ray, G., Joint Polar Satellite System (JPSS) VIIRS aerosol optical thickness (OAT) and particle size parameter algorithm theoretical basis document (ATBD), GSFC JPSS CMO, 2014, Rev. B, p. 64.
Simonenko, E.V., Chudin, A.O., and Davidenko, A.N., The differential method for calculation of cloud motion vectors, Russ. Meteorol. Hydrol., 2017, vol. 42, no. 3, 159–167.
Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.M., Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge: Cambridge University Press, 2013.
Timofeev, Yu.M. and Vasil’ev, A.V., Osnovy teoreticheskoi atmosfernoi optiki: Uchebno-metodicheskoe posobie (Basics of Theoretical Atmospheric Optics: A Study Guide), St. Petersburg: SPbGU, 2007.
Vermote, E.F., Tanre, D., Deuze, J.L., Herman, M., and Morcrette, J.J., Second simulation of the satellite signal in the solar spectrum, 6S: An overview, IEEE Trans. Geosci. Remote Sens., 1997, vol. 35, no. 3, pp. 675–686. https://doi.org/10.1109/36.581987
Zhao, X., NOAA climate data record (CDR) of AVHRR daily and monthly aerosol optical thickness (AOT) over global oceans, version 3.0, NOAA National Centers for Environmental Information, 2017, p. 29. https://doi.org/10.7289/V5BZ642P.
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Kuchma, M.O., Kholodov, E.I. & Amel’chenko, Y.A. Two-Channel Algorithm for Determining the Aerosol Optical Depth over the Sea Surface Using the MSU-MR Radiometer of the Meteor-M No. 2 Satellite. Izv. Atmos. Ocean. Phys. 58, 1194–1199 (2022). https://doi.org/10.1134/S0001433822090122
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DOI: https://doi.org/10.1134/S0001433822090122