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On the Elaboration of an Index for Identifying SACZ Occurrences Using a Discrete Valued Bi-dimensional Singular Transform

Author

Listed:
  • Jean Schmith

    (Unisinos University
    EMBRAPII Hardware Competence Center for Digital Agriculture, SENAI Innovation Institute for Sensing Systems (ISI-SIM)
    Federal University of Rio Grande do Sul, Post Graduate Program in Mechanical Engineering (PROMEC))

  • Vitor Camargo Nardelli

    (Center for Embedded Devices and Research in Digital Agriculture (Cedra) (EMBRAPII / SENAI-RS), SENAI Innovation Institute for Sensor Systems (ISI-SIM))

  • Paul J. Harris

    (University of Brighton, Department of Mathematics)

  • Bardo E. J. Bodmann

    (Federal University of Rio Grande do Sul, Post Graduate Program in Mechanical Engineering (PROMEC))

Abstract

This proposal is focused on using a repository of historical climate and meteorology data to develop a method for SACZ identification. To this end we propose a Discrete Valued Bi-dimensional Singular Transform in the spirit of the Hilbert transform, which among others provides besides a local amplitude also a local phase. Here the term “local” stands for the analogue of the conception of “instantaneous” in the original Hilbert transform for time evolution analysis of non-linear systems. This transform opens a pathway to define a similarity measure, which is used to analyze phase asymmetries in the spatial distributions and is used to setup an indication index for identifying the occurrence of the SACZ formation. The elaborated conception is applied to the meteorological data of the year 2011 available from the NOAA-CIRES Twentieth Century Reanalysis (V2c) database.

Suggested Citation

  • Jean Schmith & Vitor Camargo Nardelli & Paul J. Harris & Bardo E. J. Bodmann, 2026. "On the Elaboration of an Index for Identifying SACZ Occurrences Using a Discrete Valued Bi-dimensional Singular Transform," Springer Books,, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-04458-7_25
    DOI: 10.1007/978-3-032-04458-7_25
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