Sea of Azov; evolution of suspended solids; remote observations; numerical modeling; assimilation of satellite data; comparative analysis of satellite and model parameters data
https://doi.org/10.7868/S2073667318030097
Abstract
Hydrodynamic modeling of the Azov Sea water area based on the Princeton Ocean Model was performed to determine the atmospheric impact of the SKIRON model for the period 2013—2014. Based on a joint analysis of the results of numerical modeling and space monitoring from the Aqua satellite (MODIS) data, the features of the space-time dynamics of the optical active matter in the Sea of Azov are investigated. Suspended substances of various origins are manifestedin the total index of light absorption, or backscattering of light by sea water. New algorithms are used to determine the consistency of data obtained by remote sensing methods of the sea surface from space, model solutions and their combination. The program complex implements an algorithm for assimilation of observational data and allows modeling of the process of propagation of suspended and dissolved matter based on the integration of the transport and diffusion equation. Methods of information sharing are discussed, an estimation of the quality of the model forecast is given depending on the intervals of mastering the satellite information. It is shown that a consistent scheme of assimilation of observational data improves the forecast of propagation of suspended solids by the model even with non-informative satellite images. Numerical experiments on the evaluation of multispectral images have shown the effectiveness of the algorithms proposed in the work.
About the Authors
T. Ya. Shul’gaRussian Federation
Sevastopol
V. V. Suslin
Russian Federation
Sevastopol
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Review
For citations:
Shul’ga T.Ya., Suslin V.V. Sea of Azov; evolution of suspended solids; remote observations; numerical modeling; assimilation of satellite data; comparative analysis of satellite and model parameters data. Fundamental and Applied Hydrophysics. 2018;11(3):73-80. (In Russ.) https://doi.org/10.7868/S2073667318030097