Statistics and Physical Oceanography |
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Contents
OVERVIEW | 1 |
STATISTICAL ISSUES IN THE MULTIPLESCALE VARIABILITY | 17 |
LAGRANGIAN AND EULERIAN DATA AND MODELS | 23 |
Copyright | |
2 other sections not shown
Common terms and phrases
analysis applications approach averages boundary changes Chapter characteristics collaborative comparisons components considered currents data sets density depending derived described detailed determined difficult diffusion direction disciplines discussed distribution dynamics eddies effects energy equations errors estimates example fields filtering flow fluid function geometry geophysical given global gradients grid heat Identifying images important increase initial interest interpolation issues limited maps mathematical mean measurements methods models motion natural non-Gaussian nonlinear numerical observations ocean circulation oceanographic oceanographic data opportunities output panel parameters physical oceanography points possible present problem processes produce quantities questions radar random fields range referred regions represents requires resolution result ring salinity sampling satellite scales sea surface simulations smoothing solution space spatial specific statistical statisticians studies successful techniques temperature temporal tracks turbulent typically University values variability velocity visualization waves wind