Piece-wise constant cluster modelling of dynamics of upwelling patterns
Corresponding Author
Susana Nascimento
Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal
Correspondence
Susana Nascimento, Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal.
Email: [email protected]
Search for more papers by this authorAlexandre Martins
Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal
Search for more papers by this authorPaulo Relvas
Department of Earth Marine and Environmental Sciences, Universidade do Algarve / Centre of Marine Sciences (CCMAR), Faro, Portugal
Search for more papers by this authorJoaquim F. Luís
Department of Earth Marine and Environmental Sciences, Universidade do Algarve / Instituto Don Luis (IDL), Faro, Portugal
Search for more papers by this authorBoris Mirkin
Department of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russian Federation, Moscow, Russian Federation
Department of Computer Science, Birkbeck University of London, London, UK
Search for more papers by this authorCorresponding Author
Susana Nascimento
Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal
Correspondence
Susana Nascimento, Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal.
Email: [email protected]
Search for more papers by this authorAlexandre Martins
Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA-LINCS), NOVA School of Science and Technology, Lisboa, Portugal
Search for more papers by this authorPaulo Relvas
Department of Earth Marine and Environmental Sciences, Universidade do Algarve / Centre of Marine Sciences (CCMAR), Faro, Portugal
Search for more papers by this authorJoaquim F. Luís
Department of Earth Marine and Environmental Sciences, Universidade do Algarve / Instituto Don Luis (IDL), Faro, Portugal
Search for more papers by this authorBoris Mirkin
Department of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russian Federation, Moscow, Russian Federation
Department of Computer Science, Birkbeck University of London, London, UK
Search for more papers by this authorAbstract
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.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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