Data Analysis Methods in Physical Oceanography - Thomson, Richard E

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Auteur(s) : Thomson, Richard E - Emery, William J

Editeur : Elsevier Ltd

Langue : Anglais

Parution : 01/08/2024

Format : Moyen, de 350g à 1kg

Nombre de pages : 890

Expédition : 450

Dimensions : 27.4 x 21.8 x 5.0

ISBN : 0323917232

Résumé :

Data Analysis Methods in Physical Oceanography: Fourth Edition provides a practical reference to established and modern data analysis techniques in earth and ocean sciences. In five sections, the book addresses data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The updated edition includes new information on autonomous platforms and new analysis tools such as deep learning? and convolutional neural networks. A section on extreme value statistics has been added, and the section on wavelet analysis has been expanded.

This book brings together relevant techniques and references recent papers where these techniques have been trialed. In addition, it presents valuable examples using physical oceanography data. For students, the sections on data acquisition are useful for a compilation of all the measurement methods.

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Biographie:
Richard E. Thomson is a researcher in coastal and deep-sea physical oceanography within the Ocean Sciences Division. Coastal oceanographic processes on the continental shelf and slope including coastally trapped waves, upwelling and baroclinic instability; hydrothermal venting and the physics of buoyant plumes; linkage between circulation and zooplankton biomass aggregations at hydrothermal venting sites; analysis and modelling of landslide generated tsunamis; paleoclimate using tree ring records and sediment cores from coastal inlets and basins.

Sommaire:

Data Analysis Methods in Physical Oceanography: Fourth Edition provides a practical reference to established and modern data analysis techniques in earth and ocean sciences. In five sections, the book addresses data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The updated edition includes new information on autonomous platforms and new analysis tools such as deep learning? and convolutional neural networks. A section on extreme value statistics has been added, and the section on wavelet analysis has been expanded.

This book brings together relevant techniques and references recent papers where these techniques have been trialed. In addition, it presents valuable examples using physical oceanography data. For students, the sections on data acquisition are useful for a compilation of all the measurement methods.