Using multichannel satellite images for predictive modelling the «bloom» phytoplankton processes in shallow waters on supercomputer
Journal: COMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES
Year: 2017

The paper covers the development and research of mathematical models of bloom phytoplankton processes, that cause hypoxic phenomena in shallow waters, on the basis of modern information technologies and computational methods. Expedition data and multichannel satellite images of remote sensing obtained by the SRC Planet are used for calibration and verification of the developed model. The methods of domain decomposition was used in a parallel implementation for computationally labours problems, t