Fractal Concepts and the Analysis of Atmospheric Processes

Abstract

LONG-TERM GOALS. Data collected during field projects or the outputs from elaborate numerical simulations are often not analyzed to their fullest extent. Although, field data sets that are as complete as we would like are still quite rare, the results from numerical modeling now cover large ranges of scale with considerable spatial detail. The hardware and data are now available to support the development and application of new tools for analyzing the details of fluid flows. Such improvements in analysis methods will provide the means for obtaining greater insight into the nature of fluid flow, which in turn will improve the modeling and prediction of environmental parameters that affect the Navy's operations. The goal of our research is to improve our understanding of atmospheric processes and the simulations of them through the application of analytical approaches derived from methods associated with multiresolution feature and wavelet analyses. We seek a clear understanding of the spatial and temporal characteristics of atmospheric motions that have many scales and are intermittent. Second, we build tools to analyze these motions, in the field and in simulations of atmospheric motions. Finally, we seek to determine the causes of key features of the motions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA634806

Entities

People

  • Jeffrey R. Koseff
  • Robert Lynnwood Street

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundary Layer
  • Civil Engineering
  • Data Sets
  • Engineering
  • Flow
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • High Resolution
  • Large Eddy Simulation
  • Layers
  • Mechanics
  • Simulations
  • Three Dimensional
  • Turbulence
  • Turbulent Flow

Readers

  • Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design