Abstract
A new area of oceanography, operational oceanography, involves a comprehensive assessment and forecast of the variability of the state of the marine environment. This requires systematic study of numerous natural parameters, the creation of integrated measurement systems for the properties of the water column and seafloor, rapid data collection and transmission systems, assimilation of new data in the model, etc. The seafloor has a significant impact on the hydrophysical state of the environment and vice versa; accordingly, information is needed on the state and properties of the bottom in the deployment area of various surveillance tools, including assessment of possible geohazards. The spatial distribution and possible variability of the geomorphological and geological–geophysical parameters of the bottom, which determine the geoacoustic properties, depends on the shape of the relief and its morphometric characteristics. Thus, the digital elevation model (DEM) is an essential component of marine geographic information systems and an essential element of operational oceanography. A DEM entails an organized structure of files containing vector representations of various types of spatial objects, information on their attributes, and topological relationships between them. The DEM displays the seafloor relief as a grid file with a resolution corresponding to a given scale. Methods for the direct spatial mathematical processing of DEMs make it possible to obtain a wide range of bottom surface characteristics, including morphometric. DEMs can have both independent practical application and act as parameters for systematizing, typifying, and zoning the seafloor. The paper outlines some areas of the possible use of DEMs in operational oceanography with a case study of the Arctic shelf.
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The study was performed under state order no. 0149-2020-0006.
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Libina, N.V., Nikiforov, S.L. Digital Elevation Models of the Bottom in the Operational Oceanography System. Oceanology 60, 854–860 (2020). https://doi.org/10.1134/S0001437020050124
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DOI: https://doi.org/10.1134/S0001437020050124