Conditional Sampling of Oceanic Temperature and Pressure.

Abstract

In the ocean, as in the atmosphere, energy transfer processes exhibit a distinct intermittency. Important energy transfer events occur rarely in space and time but their contribution is likely to be greater than those from all others combined. For example, the most severe storms during a particular year are likely to be associated with a larger momentum and heat flux between the atmosphere and the ocean than the winds during the rest of the year. The breaking of an internal wave can lead to a greater vertical mixing of heat and salt than other diffusion processes. The presence of intermittency places severe demands on geophysical data acquisition. Routine sampling at fixed rates provide redundant data nearly all of the time and inadequate data during the rare times of an interesting event. A fixed program of intermittent rapid sampling superimposed on a standard low sampling rate (commonly referred to as burst sampling) is an improvement, but is not entirely satisfactory either. What is needed is a high rate of sampling conditioned by the occurrence of the rare important events or what will be referred here as conditional sampling.

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Document Details

Document Type
Technical Report
Publication Date
Jun 29, 1981
Accession Number
ADA104539

Entities

People

  • James D. Irish
  • Mark P. Woodbury
  • Wendell S. Brown

Organizations

  • University of New Hampshire

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Circuit Boards
  • Computer Programming
  • Data Storage Systems
  • Detection
  • Detectors
  • Digital Data
  • Electronics
  • Energy Transfer
  • Event Detection
  • Frequency
  • Instrumentation
  • Internal Waves
  • Logic Gates
  • Measurement
  • Oceans
  • Recording Systems
  • Seabed

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Educational Psychology
  • Fluid Mechanics and Fluid Dynamics.

Technology Areas

  • Space