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Integration of Modeling and Remote Sensing Methods for the Study of Suspended Matter in the Sea of Azov

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Abstract

The work demonstrates that appropriate data-assimilation schemes make simulations a reliable tool for filling the gaps due to satellite imagery unavailability and/or cloud covering. The ad hoc assimilation scheme allows for prediction of transport and diffusion of the bio-optical tracers from MODIS products in the Sea of Azov applied the Princeton Ocean Model. The quality of forecast is estimated and the total suspended matter in the seawater.

© 2019 The Author(s)

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