acoustic remote sensing of large- scale temperature variability in the north pacific ocean peter f....

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Acoustic Remote Sensing of Large-Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch, Walter H. Munk Scripps Institution of Oceanography, University of California, San Diego Brian D. Dushaw, Bruce M. Howe, James A. Mercer, Robert C. Spindel Applied Physics Laboratory, University of Washington Dimitris Menemenlis Jet Propulsion Laboratory, NASA Detlef Stammer Institut für Meereskunde, Universität Hamburg AGU Ocean Sciences Meeting Portland, Oregon, 26-30 January 2004

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Page 1: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

Acoustic Remote Sensing of Large-Scale Temperature Variability in the

North Pacific OceanPeter F. Worcester, Bruce D. Cornuelle,Matthew A. Dzieciuch, Walter H. Munk

Scripps Institution of Oceanography, University of California, San Diego

Brian D. Dushaw, Bruce M. Howe,James A. Mercer, Robert C. Spindel

Applied Physics Laboratory, University of WashingtonDimitris Menemenlis

Jet Propulsion Laboratory, NASADetlef Stammer

Institut für Meereskunde, Universität Hamburg

AGU Ocean Sciences MeetingPortland, Oregon, 26-30 January 2004

Page 2: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 3: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

Acoustic Thermometry of Ocean Climate: Goals

Determine the precision with which acoustic methods can measure large-scale changes in ocean temperature

Determine what effects, if any, the acoustic transmissions have on marine mammals and other marine life

Page 4: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 5: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

North Pacific Acoustic Laboratory

Page 6: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

North Pacific Acoustic Laboratory: Goals

To perform the second phase of research on the feasibility and value of large-scale acoustic thermometry

To study the behavior of sound transmissions in the ocean over long distances

To conduct studies on the possible long-term effects from the sound transmissions on marine life

Page 7: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 8: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 9: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

ECCO OGCM: SIO

Page 10: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 11: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,
Page 12: Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

Summary

Long-term trends in large-scale ocean temperature are easily visible in the acoustic time series

Travel times can now be readily computed from OGCMs for comparison with acoustic data

Travel times have good signal-to-noise ratios for differences between models

Assimilation of travel times into OGCMs is needed to objectively assess the value of acoustic methods

OGCM parallelization makes non-local observations more complicated to assimilate using adjoint methods