Abstract
The model of passive impurity transport in the Azov Sea is used as a constraint to minimize the quadratic functional of forecast quality, which characterizes the deviations of model estimates from the measured data of the suspended matter concentration in the upper sea layer. Variational algorithms are built to search for optimal parameters of the model, which can be either constant or variable in space and time. The obtained results of numerical modeling are analyzed taking into account satellite information about the concentration of suspended matter in the upper sea layer.
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Sergeevich, K.V., Vladimirovich, K.S. (2022). Variational Identification of the Transport Model Parameters in the Azov Sea Based on Remote Sensing Data. In: Chaplina, T. (eds) Processes in GeoMedia—Volume IV. Springer Geology. Springer, Cham. https://doi.org/10.1007/978-3-030-76328-2_3
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DOI: https://doi.org/10.1007/978-3-030-76328-2_3
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