Sampling Strategies in Space and Time: Effects on Representation of Mesoscale Processes.

Abstract

This thesis examines along-track spacing increments from model output to determine the largest separation of data sampling permissible to achieve a reasonable representation of ocean mesoscale features without serious aliasing. With this objective, three sampling strategies are tested and analyzed by conducting simulated aircraft and shipboard cruises. Due to the limited number of observations acquired during each cruise, analyses of the data fields utilize an objective analysis technique which assesses the spatial correlation and RSM error by comparing the sampled data sets to the assumed perfect PE output fields. Of the schemes tested, the sampling strategy of using finer sampling along the coast and random sampling offshore with either aircraft of less than five-day hydrographic surveys results in the 'best' representation of mesoscale processes in a coastal region.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA175142

Entities

People

  • John L. Heishman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Aircrafts
  • Classification
  • Coastal Regions
  • Data Acquisition
  • Data Sets
  • Equations
  • Geographic Regions
  • Grids
  • Inertial Navigation
  • Isotherms
  • Navigation
  • North America
  • Observation
  • Regions
  • Statistical Sampling
  • United States

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Atmospheric Science/Meteorology
  • Oceanography.

Technology Areas

  • Space