A Multi-Index GEM Technique and its Application to the Southwestern Japan/East Sea

Abstract

This paper demonstrates a new gravest empirical mode (GEM) technique that constructs multi-index lookup tables of temperature and specific volume anomalies using historical hydrocasts as a function of three indices: round trip travel time from sea floor to the surface, sea surface temperature, and pressure. Moreover, the historical hydrocasts are separated into non-mixed layer (NML) and mixed layer (ML) groups, and a single GEM field is constructed for each group. This is called the MI-GEM technique. The appropriate dates for MI-GEM fields are determined by the monthly distribution of the number of NML and ML profiles in the historical hydrocasts, which are also used well correlated with the strength of the winds during the 2 yr. of observations. Comparisons with in-situ CTD casts demonstrate that the MI-GEM technique almost always produces improved full water column profiles of temperature and specific volume anomalies. Whereas the residual GEM estimates had exhibited qualitatively erroneous features like temperature inversions in the near-surface layer and too thin or thick intermediate water layers in some regions, the MI-GEM estimates avoid those problems, which were inherent to the residual GEM technique in the southwestern JES.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA448913

Entities

People

  • D. R. Watts
  • Douglas A. Mitchell
  • Jae-Hun Park
  • Karen L. Tracey

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Boundaries
  • Grids
  • Inversion
  • Military Research
  • Observation
  • Oceans
  • Remote Sensing
  • Residuals
  • Rhode Island
  • Sea Surface Temperature
  • Sonar
  • Standards
  • Surface Temperature
  • Temperature Inversion
  • Time Intervals
  • Travel Time
  • Two Dimensional

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers