A Statistical Approach for Determining Subsurface Thermal Structure from Sea Surface Temperature in the Northeast Pacific Ocean.

Abstract

Bathythermograph data acquired from the research vessel USNS SILAS BENT along a meridional track in the Northeast Pacific during September 1977 were statistically analyzed to determine possible associations between the subsurface thermal structures and sea surface temperature. Strongly correlated variables (thermocline gradients, mixed layer depth, and locations of the seasonal and main thermoclines) within the vertical temperature profile were used in linear regression methods to form empirical relationships. The generated equations then are utilized to define the subsurface thermal structure from only an input of sea surface temperature. Comparison tests with temporally and spatially removed BT data were conducted with results indicating successful application within a water mass domain with uniformly changing characteristics.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA132204

Entities

People

  • Terry A. Howell

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Satellites
  • Climate Change
  • Computer Programs
  • High Pressure
  • Measurement
  • Navy
  • Oceanography
  • Oceans
  • Regions
  • Regression Analysis
  • Remote Sensing
  • Schools
  • Sea Water
  • Surface Temperature
  • Temperature Gradients
  • United States Naval Academy

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Oceanography.
  • Regression Analysis.