@article{0ea5f0a32a604884ad54498cd666064c,
title = "Piece-wise constant cluster modelling of dynamics of upwelling patterns",
abstract = "A comprehensive approach is presented to analyse season's coastal upwelling represented by weekly sea surface temperature (SST) image grids. Our three-stage data recovery clustering method assumes that the season's upwelling can be divided into shorter periods of stability, ranges, each to be represented by a constant core and variable shell parts. Corresponding clustering algorithms parameters are automatically derived by using the least-squares clustering criterion. The approach has been successfully applied to real-world SST data covering two distinct regions: Portuguese coast and Morocco coast, for 16 years each.",
keywords = "coastal upwelling, data recovery clustering, spatiotemporal clustering, SST images, time series segmentation",
author = "Susana Nascimento and Alexandre Martins and Paulo Relvas and Lu{\'i}s, {Joaquim F.} and Boris Mirkin",
note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50019%2F2020/PT# Funding Information: Boris Mirkin acknowledges support from the Basic Research Program of the National Research University Higher School of Economics Moscow. The authors are grateful to the anonymous reviewers for their insightful and constructive comments that allowed us to improve the presentation. Publisher Copyright: {\textcopyright} 2023 John Wiley & Sons Ltd.",
year = "2023",
month = dec,
doi = "10.1111/exsy.13446",
language = "English",
volume = "40",
journal = "Expert Systems",
issn = "0266-4720",
publisher = "Blackwell Publishing Ltd",
number = "10",
}
