

- DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY PDF PDF
- DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY PDF SERIES
Application examples of successful dynamic phenomena measured by coastal acoustic tomography are also included. The book is relevant for physical oceanographers, ocean environmentalists and ocean dynamists, focusing on the event being observed rather than the intrinsic details of observational processes. This book emphasizes how dynamic phenomena occurring in coastal/shallow seas can be analyzed using the standard method of inversion and data assimilation. These sections are broken down into four kinds of methods: horizontal-slice inversion, vertical-slice inversion, modal expansion method and data assimilation. Following sections discuss the procedure for data analyses and various application examples of CAT to coastal/shallow seas (obtained in various locations).
DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY PDF PDF

Small-scale physical models may also be used together with analytical and numerical models. In the area of physical oceanography, experiments using these water bodies as a natural laboratory and interpreting their circulation and mixing processes using theoretical and semi-theoretical knowledge are of fundamental importance. It focuses on circulation, transport and mixing of estuarine and coastal water masses, which is ultimately related to an understanding of the hydrographic and hydrodynamic characteristics (salinity, temperature, density and circulation), mixing processes (advection and diffusion), transport timescales such as the residence time and the exposure time. This book provides an introduction to the complex system functions, variability and human interference in ecosystem between the continent and the ocean.
DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY PDF SERIES
Its five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods.
