Autonomous Ocean Profilers for Extreme Weather

Abstract

The objective of this program is to analyze data from the deployment of a class of low-cost instruments that were deployed into hurricanes during the Coupled Boundary Layer Air Sea Transfer (CBLAST) initiative. Measurements of the air-sea interface in very high sea states present a difficult challenge for both remote sensing techniques and in-situ moored or shipboard instrumentation. While the satellite-based remote-sensing techniques generally lose accuracy in high sea-states due to a lack of understanding of the physics of the parameter that is measured and inverted (ie. microwave scattering, EM bias, passive microwave), in-situ measurements are difficult due to the environmental loading placed on the instrumentation and survivability of moorings. Shipboard instrumentation in high seastates is either too costly for long-term measurements or presents a danger to the personnel onboard the vessel. With significant effort and cost, moorings and surface buoys can be designed to withstand the rigors of the sea-surface during these conditions. However, the statistical nature of very high wind events such as hurricanes, typhoons, and large winter storms requires that moorings be deployed over long periods of time in order to raise the probability of the instrumentation being in the right place and at the right time. The recent improvement of synoptic, predictive models of storm events now presents the opportunity for adaptively sampling the upper ocean during storms through strategic placement of light-weight, low-cost instrumentation in the path of incoming storm events.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA506344

Entities

People

  • Eric Terrill

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Impedance
  • Acoustic Measurement
  • Ambient Noise
  • Boundaries
  • Boundary Layer
  • Climate Change
  • Databases
  • Department Of Defense
  • Enthalpy
  • Heat Loss
  • Instrumentation
  • Measurement
  • Oceans
  • Predictive Modeling
  • Remote Sensing
  • Surface Waves
  • Vehicles

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Naval Architecture and Marine Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space