Front and skeleton features based methods for tracking salinity propagation in the ocean

Singh, U and Dhipu, TM and Vinayachandran, PN and Natarajan, V (2022) Front and skeleton features based methods for tracking salinity propagation in the ocean. In: Computers and Geosciences, 159 .

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Abstract

The Bay of Bengal (BoB) fosters several monsoon depressions and cyclones, playing a crucial role in the Asian summer and winter monsoons. The capacity of the bay to remain warm and energize such weather systems is attributed to its strong vertical stratification sustained by the large freshwater input into the bay. River runoff and rainfall into the northern bay in contrast to the high salinity water intrusion in the south creates a strong north�south salinity gradient. Here, we present a visual analysis tool to trace the path of the high salinity core (HSC) entering into the BoB from the Arabian Sea. We introduce two feature definitions that represent the movement and shape of the HSC, and algorithms to track their evolution over time. The two feature representations, namely fronts and skeletons, are based on geometric and topological analysis of the HSC. The method is validated via comparison with well established observations on the flow of the HSC in the BoB, including its entry from the Arabian Sea and its movement near Sri Lanka. Further, the visual analysis and tracking framework enable new detailed observations on forking behavior near the center of the BoB and subsequent northward movement of the HSC. The tools that we have developed offer new perspectives on the propagation of high salinity water and its mixing with the ambient low salinity waters. © 2021 Elsevier Ltd

Item Type:	Journal Article
Publication:	Computers and Geosciences
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd
Keywords:	Atmospheric thermodynamics; Barium compounds; Musculoskeletal system; Topology, Bay of Bengal; Feature-based method; High salinity; High salinity core; Monsoon depressions; Salinity water; Skeleton; Surface front; Tracking; Visual analysis, Storms
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Date Deposited:	07 Mar 2022 04:52
Last Modified:	07 Mar 2022 04:52
URI:	http://eprints.iisc.ac.in/id/eprint/71398

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