Fine-scale features on the sea surface in SAR satellite imagery-Part 2: Numerical modeling

S. Matt, A. Fujimura, A. Soloviev, S. H. Rhee, Roland Romeiser

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

With the advent of the new generation of synthetic aperture radar (SAR) satellites, it has become possible to resolve fine-scale features on the sea surface on the scale of meters. The proper identification of sea surface signatures in SAR imagery can be challenging, since some features may be due to atmospheric distortions (gravity waves, squall lines) or anthropogenic influences (slicks), and may not be related to dynamic processes in the upper ocean. In order to improve our understanding of the nature of fine-scale features on the sea surface and their signature in SAR, we have conducted high-resolution numerical simulations combining a three-dimensional non-hydrostatic computational fluid dynamics model with a radar imaging model. The surface velocity field from the hydrodynamic model is used as input to the radar imaging model. The combined approach reproduces the sea surface signatures in SAR of ship wakes, low-density plumes, and internal waves in a stratified environment. The numerical results are consistent with observations reported in a companion paper on in situ measurements during SAR satellite overpasses. Ocean surface and internal waves are also known to produce a measurable signal in the ocean magnetic field. This paper explores the use of computational fluid dynamics to investigate the magnetic signatures of oceanic processes. This potentially provides a link between SAR signatures of transient ocean dynamics and magnetic field fluctuations in the ocean. We suggest that combining SAR imagery with data from ocean magnetometers may be useful as an additional maritime sensing method. The new approach presented in this work can be extended to other dynamic processes in the upper ocean, including fronts and eddies, and can be a valuable tool for the interpretation of SAR images of the ocean surface.

Original languageEnglish (US)
Pages (from-to)427-438
Number of pages12
JournalOcean Science
Volume10
Issue number3
DOIs
StatePublished - Jun 2 2014

Fingerprint

radar imagery
satellite imagery
sea surface
synthetic aperture radar
modeling
ocean
upper ocean
internal wave
computational fluid dynamics
radar
magnetic field
squall line
ocean wave
magnetometer
gravity wave
in situ measurement
surface wave
eddy
plume
hydrodynamics

ASJC Scopus subject areas

  • Oceanography
  • Palaeontology

Cite this

Fine-scale features on the sea surface in SAR satellite imagery-Part 2 : Numerical modeling. / Matt, S.; Fujimura, A.; Soloviev, A.; Rhee, S. H.; Romeiser, Roland.

In: Ocean Science, Vol. 10, No. 3, 02.06.2014, p. 427-438.

Research output: Contribution to journalArticle

Matt, S. ; Fujimura, A. ; Soloviev, A. ; Rhee, S. H. ; Romeiser, Roland. / Fine-scale features on the sea surface in SAR satellite imagery-Part 2 : Numerical modeling. In: Ocean Science. 2014 ; Vol. 10, No. 3. pp. 427-438.
@article{aae0c3bdd33d43958132cc2aad27a367,
title = "Fine-scale features on the sea surface in SAR satellite imagery-Part 2: Numerical modeling",
abstract = "With the advent of the new generation of synthetic aperture radar (SAR) satellites, it has become possible to resolve fine-scale features on the sea surface on the scale of meters. The proper identification of sea surface signatures in SAR imagery can be challenging, since some features may be due to atmospheric distortions (gravity waves, squall lines) or anthropogenic influences (slicks), and may not be related to dynamic processes in the upper ocean. In order to improve our understanding of the nature of fine-scale features on the sea surface and their signature in SAR, we have conducted high-resolution numerical simulations combining a three-dimensional non-hydrostatic computational fluid dynamics model with a radar imaging model. The surface velocity field from the hydrodynamic model is used as input to the radar imaging model. The combined approach reproduces the sea surface signatures in SAR of ship wakes, low-density plumes, and internal waves in a stratified environment. The numerical results are consistent with observations reported in a companion paper on in situ measurements during SAR satellite overpasses. Ocean surface and internal waves are also known to produce a measurable signal in the ocean magnetic field. This paper explores the use of computational fluid dynamics to investigate the magnetic signatures of oceanic processes. This potentially provides a link between SAR signatures of transient ocean dynamics and magnetic field fluctuations in the ocean. We suggest that combining SAR imagery with data from ocean magnetometers may be useful as an additional maritime sensing method. The new approach presented in this work can be extended to other dynamic processes in the upper ocean, including fronts and eddies, and can be a valuable tool for the interpretation of SAR images of the ocean surface.",
author = "S. Matt and A. Fujimura and A. Soloviev and Rhee, {S. H.} and Roland Romeiser",
year = "2014",
month = "6",
day = "2",
doi = "10.5194/os-10-427-2014",
language = "English (US)",
volume = "10",
pages = "427--438",
journal = "Ocean Science",
issn = "1812-0784",
publisher = "European Geosciences Union",
number = "3",

}

TY - JOUR

T1 - Fine-scale features on the sea surface in SAR satellite imagery-Part 2

T2 - Numerical modeling

AU - Matt, S.

AU - Fujimura, A.

AU - Soloviev, A.

AU - Rhee, S. H.

AU - Romeiser, Roland

PY - 2014/6/2

Y1 - 2014/6/2

N2 - With the advent of the new generation of synthetic aperture radar (SAR) satellites, it has become possible to resolve fine-scale features on the sea surface on the scale of meters. The proper identification of sea surface signatures in SAR imagery can be challenging, since some features may be due to atmospheric distortions (gravity waves, squall lines) or anthropogenic influences (slicks), and may not be related to dynamic processes in the upper ocean. In order to improve our understanding of the nature of fine-scale features on the sea surface and their signature in SAR, we have conducted high-resolution numerical simulations combining a three-dimensional non-hydrostatic computational fluid dynamics model with a radar imaging model. The surface velocity field from the hydrodynamic model is used as input to the radar imaging model. The combined approach reproduces the sea surface signatures in SAR of ship wakes, low-density plumes, and internal waves in a stratified environment. The numerical results are consistent with observations reported in a companion paper on in situ measurements during SAR satellite overpasses. Ocean surface and internal waves are also known to produce a measurable signal in the ocean magnetic field. This paper explores the use of computational fluid dynamics to investigate the magnetic signatures of oceanic processes. This potentially provides a link between SAR signatures of transient ocean dynamics and magnetic field fluctuations in the ocean. We suggest that combining SAR imagery with data from ocean magnetometers may be useful as an additional maritime sensing method. The new approach presented in this work can be extended to other dynamic processes in the upper ocean, including fronts and eddies, and can be a valuable tool for the interpretation of SAR images of the ocean surface.

AB - With the advent of the new generation of synthetic aperture radar (SAR) satellites, it has become possible to resolve fine-scale features on the sea surface on the scale of meters. The proper identification of sea surface signatures in SAR imagery can be challenging, since some features may be due to atmospheric distortions (gravity waves, squall lines) or anthropogenic influences (slicks), and may not be related to dynamic processes in the upper ocean. In order to improve our understanding of the nature of fine-scale features on the sea surface and their signature in SAR, we have conducted high-resolution numerical simulations combining a three-dimensional non-hydrostatic computational fluid dynamics model with a radar imaging model. The surface velocity field from the hydrodynamic model is used as input to the radar imaging model. The combined approach reproduces the sea surface signatures in SAR of ship wakes, low-density plumes, and internal waves in a stratified environment. The numerical results are consistent with observations reported in a companion paper on in situ measurements during SAR satellite overpasses. Ocean surface and internal waves are also known to produce a measurable signal in the ocean magnetic field. This paper explores the use of computational fluid dynamics to investigate the magnetic signatures of oceanic processes. This potentially provides a link between SAR signatures of transient ocean dynamics and magnetic field fluctuations in the ocean. We suggest that combining SAR imagery with data from ocean magnetometers may be useful as an additional maritime sensing method. The new approach presented in this work can be extended to other dynamic processes in the upper ocean, including fronts and eddies, and can be a valuable tool for the interpretation of SAR images of the ocean surface.

UR - http://www.scopus.com/inward/record.url?scp=84902137164&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902137164&partnerID=8YFLogxK

U2 - 10.5194/os-10-427-2014

DO - 10.5194/os-10-427-2014

M3 - Article

AN - SCOPUS:84902137164

VL - 10

SP - 427

EP - 438

JO - Ocean Science

JF - Ocean Science

SN - 1812-0784

IS - 3

ER -