13 results on '"Anna C. Savage"'
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2. Toward Realistic Nonstationarity of Semidiurnal Baroclinic Tides in a Hydrodynamic Model
- Author
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Arin D. Nelson, Brian K. Arbic, Edward D. Zaron, Anna C. Savage, James G. Richman, Maarten C. Buijsman, and Jay F. Shriver
- Published
- 2019
- Full Text
- View/download PDF
3. Spectral decomposition of internal gravity wave sea surface height in global models
- Author
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Anna C. Savage, Brian K. Arbic, Matthew H. Alford, Joseph K. Ansong, J. Thomas Farrar, Dimitris Menemenlis, Amanda K. O'Rourke, James G. Richman, Jay F. Shriver, Gunnar Voet, Alan J. Wallcraft, and Luis Zamudio
- Published
- 2017
- Full Text
- View/download PDF
4. Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies
- Author
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Anna C. Savage, Brian K. Arbic, James G. Richman, Jay F. Shriver, Matthew H. Alford, Maarten C. Buijsman, J. Thomas Farrar, Hari Sharma, Gunnar Voet, Alan J. Wallcraft, and Luis Zamudio
- Published
- 2017
- Full Text
- View/download PDF
5. Observed Equatorward Propagation and Chimney Effect of Near-Inertial Waves in the Midlatitude Ocean
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Xiaolong Yu, Alberto C. Naveira Garabato, Clément Vic, Jonathan Gula, Anna C Savage, Jinbo Wang, Amy Frances Waterhouse, Jennifer A MacKinnon, Laboratoire d'Océanographie Physique et Spatiale (LOPS), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Océan Dynamique Observations Analyse (ODYSSEY), Université de Bretagne Occidentale - UFR Sciences et Techniques (UBO UFR ST), Université de Brest (UBO)-Université de Brest (UBO)-Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
- Subjects
Physics::Fluid Dynamics ,Geophysics ,submesoscale motions ,near-inertial waves ,[SDU]Sciences of the Universe [physics] ,General Earth and Planetary Sciences ,chimney effect ,mesoscale motions ,Physics::Atmospheric and Oceanic Physics - Abstract
The propagation characteristics of near-inertial waves (NIWs) and how mesoscale and submesoscale processes affect the waves' vertical penetration are investigated using observations from a mooring array located in the northeast Atlantic. The year-long observations show that near-inertial motions are mainly generated by local wind forcing, and that they radiate equatorward and downward following several strong wind events (wind stress ≳0.5 N m−2). Observational estimates of horizontal group speed typically exceed those of vertical group speed by two orders of magnitude, consistent with predictions from the dispersion relation. Enhanced near-inertial kinetic energy and vertical shear are found only in mesoscale anticyclones with Rossby number of O(0.1). By contrast, submesoscale motions with order one Rossby number have little effect on the trapping and vertical penetration of NIWs, due to their smaller horizontal scales, shorter time scales, and confined vertical extent compared to mesoscale eddies. Key Points We provide observational evidence of downward- and equatorward-propagating near-inertial waves over a full annual cycle Enhanced near-inertial kinetic energy and vertical shear are found preferentially in regions of anticyclonic vorticity The chimney effect for near-inertial waves is very likely controlled by mesoscale, rather than submesoscale, anticyclones Plain Language Summary Near-inertial waves (NIWs) are excited mainly by variable winds at the ocean surface and can carry their energy into the ocean interior, thus playing an important role in mixing the deep ocean. However, the propagation behaviors of NIWs, and how such waves are affected by mesoscale and submesoscale processes, are still understudied, especially over periods of months to years. In this study, we examine an annual cycle of wind-generated NIWs based on moored observations in a typical open-ocean region of the northeast Atlantic. Our results show that NIWs propagate downward and equatorward following several strong wind events. Enhanced near-inertial kinetic energy and vertical shear are found preferentially in regions of anticyclonic vorticity with Rossby number of O(0.1). By contrast, submesoscale anticyclones with Rossby number of O(1) are ineffective at trapping and accelerating near-inertial motions into the ocean interior. This is due to the smaller horizontal scales, shorter time scales, and confined vertical extent of submesoscale motions compared to mesoscale eddies. Our findings highlight the major role of mesoscale anticyclones in draining NIWs from the upper ocean to the ocean interior, and have implications for detecting regions of active turbulent mixing driven by NIWs in the deep ocean.
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- 2022
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6. Internal Tide Nonstationarity and Wave–Mesoscale Interactions in the Tasman Sea
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Amy F. Waterhouse, Samuel M. Kelly, and Anna C. Savage
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Oceanography ,010504 meteorology & atmospheric sciences ,Eddy ,010505 oceanography ,Internal tide ,Mesoscale meteorology ,Internal wave ,01 natural sciences ,Shallow water equations ,Geology ,0105 earth and related environmental sciences - Abstract
Internal tides, generated by barotropic tides flowing over rough topography, are a primary source of energy into the internal wave field. As internal tides propagate away from generation sites, they can dephase from the equilibrium tide, becoming nonstationary. Here, we examine how low-frequency quasigeostrophic background flows scatter and dephase internal tides in the Tasman Sea. We demonstrate that a semi-idealized internal tide model [the Coupled-Mode Shallow Water model (CSW)] must include two background flow effects to replicate the in situ internal tide energy fluxes observed during the Tasmanian Internal Tide Beam Experiment (TBeam). The first effect is internal tide advection by the background flow, which strongly depends on the spatial scale of the background flow and is largest at the smaller scales resolved in the background flow model (i.e., 50–400 km). Internal tide advection is also shown to scatter internal tides from vertical mode-1 to mode-2 at a rate of about 1 mW m−2. The second effect is internal tide refraction due to background flow perturbations to the mode-1 eigenspeed. This effect primarily dephases the internal tide, attenuating stationary energy at a rate of up to 5 mW m−2. Detailed analysis of the stationary internal tide momentum and energy balances indicate that background flow effects on the stationary internal tide can be accurately parameterized using an eddy diffusivity derived from a 1D random walk model. In summary, the results identify an efficient way to model the stationary internal tide and quantify its loss of stationarity.
- Published
- 2020
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7. Global Dynamics of the Stationary M 2 Mode‐1 Internal Tide
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Samuel M. Kelly, Amy F. Waterhouse, and Anna C. Savage
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Physics ,Geophysics ,Amplitude ,Wave drag ,Internal tide ,Energy balance ,General Earth and Planetary Sciences ,Stratification (water) ,Bathymetry ,Mechanics ,Internal wave ,Dissipation ,Physics::Geophysics - Abstract
A reduced-physics model is employed at 1/25° to 1/100° global resolution to determine (a) if linear dynamics can reproduce the observed low-mode M2 internal tide, (b) internal-tide sensitivity to bathymetry, stratification, surface tides, and dissipation parameterizations, and (c) the amount of power transferred to the nonstationary internal tide. The simulations predict 200 GW of mode-1 internal-tide generation, consistent with a general circulation model and semianalytical theory. Mode-1 energy is sensitive to damping, but a simulation using parameterizations for wave drag and wave-mean interaction predicts 84% of satellite observed sea-surface height amplitude variance on a 1° × 1° grid. The simulation energy balance indicates that 16% of stationary mode-1 energy is scattered to modes 2-4 and negligible energy propagates onto the shelves. The remaining 84% of energy is lost through parameterizations for high-mode scattering over rough topography (54%) and wave-mean interactions that transfer energy to the nonstationary internal tide (29%).
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- 2021
- Full Text
- View/download PDF
8. Toward Realistic Nonstationarity of Semidiurnal Baroclinic Tides in a Hydrodynamic Model
- Author
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Jay F. Shriver, Maarten C. Buijsman, Anna C. Savage, Edward D. Zaron, James G. Richman, Brian K. Arbic, and Arin D. Nelson
- Subjects
Geophysics ,Space and Planetary Science ,Geochemistry and Petrology ,Climatology ,Baroclinity ,Internal tide ,Earth and Planetary Sciences (miscellaneous) ,Altimeter ,Oceanography ,Geology - Published
- 2019
- Full Text
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9. Global Dynamics of the Stationary M
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Samuel M, Kelly, Amy F, Waterhouse, and Anna C, Savage
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Earthquake Source Observations ,Biogeosciences ,Volcanic Effects ,Global Change from Geodesy ,Ionospheric Physics ,Volcanic Hazards and Risks ,Oceans ,Sea Level Change ,Topographic/Bathymetric Interactions ,Disaster Risk Analysis and Assessment ,Earthquake Interaction, Forecasting, and Prediction ,Gravity Methods ,Climate and Interannual Variability ,physical oceanography ,Seismic Cycle Related Deformations ,Tectonic Deformation ,Climate Impact ,Earthquake Ground Motions and Engineering Seismology ,Explosive Volcanism ,Time Variable Gravity ,Earth System Modeling ,Atmospheric Processes ,internal tide ,Seismicity and Tectonics ,Ocean Monitoring with Geodetic Techniques ,Ocean/Atmosphere Interactions ,Mathematical Geophysics ,Atmospheric ,Probabilistic Forecasting ,Regional Modeling ,Atmospheric Effects ,Volcanology ,Hydrological Cycles and Budgets ,Physics::Geophysics ,Decadal Ocean Variability ,Land/Atmosphere Interactions ,Earthquake Dynamics ,Research Letter ,Magnetospheric Physics ,Geodesy and Gravity ,Global Change ,Air/Sea Interactions ,Numerical Modeling ,Solid Earth ,Gravity anomalies and Earth structure ,Geological ,Ocean/Earth/atmosphere/hydrosphere/cryosphere interactions ,Water Cycles ,Modeling ,Avalanches ,Volcano Seismology ,Benefit‐cost Analysis ,Computational Geophysics ,Regional Climate Change ,Subduction Zones ,Transient Deformation ,Natural Hazards ,Abrupt/Rapid Climate Change ,Informatics ,Surface Waves and Tides ,Atmospheric Composition and Structure ,Volcano Monitoring ,Seismology ,Climatology ,Exploration Geophysics ,Ocean Predictability and Prediction ,Radio Oceanography ,Gravity and Isostasy ,Marine Geology and Geophysics ,Physical Modeling ,Oceanography: General ,Policy ,tide ,Estimation and Forecasting ,Space Weather ,Cryosphere ,Impacts of Global Change ,Oceanography: Physical ,Risk ,Oceanic ,Theoretical Modeling ,Satellite Geodesy: Results ,Radio Science ,Tsunamis and Storm Surges ,Paleoceanography ,Climate Dynamics ,Ionosphere ,Monitoring, Forecasting, Prediction ,Numerical Solutions ,Climate Change and Variability ,Continental Crust ,Effusive Volcanism ,Climate Variability ,General Circulation ,Policy Sciences ,Climate Impacts ,Mud Volcanism ,Air/Sea Constituent Fluxes ,Mass Balance ,Interferometry ,Ocean influence of Earth rotation ,Volcano/Climate Interactions ,Internal and Inertial Waves ,Hydrology ,internal wave ,Prediction ,Sea Level: Variations and Mean ,Forecasting - Abstract
A reduced‐physics model is employed at 1/25° to 1/100° global resolution to determine (a) if linear dynamics can reproduce the observed low‐mode M2 internal tide, (b) internal‐tide sensitivity to bathymetry, stratification, surface tides, and dissipation parameterizations, and (c) the amount of power transferred to the nonstationary internal tide. The simulations predict 200 GW of mode‐1 internal‐tide generation, consistent with a general circulation model and semianalytical theory. Mode‐1 energy is sensitive to damping, but a simulation using parameterizations for wave drag and wave‐mean interaction predicts 84% of satellite observed sea‐surface height amplitude variance on a 1° × 1° grid. The simulation energy balance indicates that 16% of stationary mode‐1 energy is scattered to modes 2–4 and negligible energy propagates onto the shelves. The remaining 84% of energy is lost through parameterizations for high‐mode scattering over rough topography (54%) and wave‐mean interactions that transfer energy to the nonstationary internal tide (29%)., Key Points Global mode‐1 internal tides are predictable from a linearized, reduced physics modelThe choice of damping parameterizations predetermines mode‐1 internal‐tide energySimulations with damping by wave drag and wave‐mean interactions largely agree with satellite data
- Published
- 2020
10. Buoyant Gravity Currents Released from Tropical Instability Waves
- Author
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James N. Moum, Ryan M. Holmes, Anna C. Savage, Martín S. Hoecker-Martínez, Elizabeth H. McHugh Hawkins, and Sally J. Warner
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Gravity (chemistry) ,Sea surface temperature ,010504 meteorology & atmospheric sciences ,010505 oceanography ,Turbulence ,Tropical instability waves ,Geophysics ,Oceanography ,01 natural sciences ,Pacific ocean ,Geology ,Mixing (physics) ,0105 earth and related environmental sciences - Abstract
Two extremely sharp fronts with changes in sea surface temperature >0.4°C over lateral distances of ~1 m were observed in the equatorial Pacific at 0°, 140°W and at 0.75°N, 110°W. In both cases, layers of relatively warm and fresh water extending to ~30-m depth propagated to the southwest as gravity currents. Turbulent kinetic energy dissipation rates averaging 4.5 × 10−6 W kg−1 were measured with a microstructure profiler within the warm layer behind the leading edge of the fronts—1000 times greater than dissipation in the ambient water ahead of the fronts. From satellite images, these fronts were observed to propagate ahead of the trailing edge of a tropical instability wave (TIW) cold cusp. Results from an ocean model with 6-km grid resolution suggest that TIW fronts may release gravity currents through frontogenesis and loss of balance as the fronts approach the equator and the Coriolis parameter weakens. Sharp frontal features appear to be ubiquitous in the eastern tropical Pacific, have an influence on the distribution of biogeochemical tracers and organisms, and play a role in transferring energy out of the TIW field toward smaller scales and dissipation.
- Published
- 2018
- Full Text
- View/download PDF
11. Spectral decomposition of internal gravity wave sea surface height in global models
- Author
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J. Thomas Farrar, Dimitris Menemenlis, Gunnar Voet, Amanda K. O'Rourke, Alan J. Wallcraft, Brian K. Arbic, Matthew H. Alford, Joseph K. Ansong, Anna C. Savage, Luis Zamudio, James G. Richman, and Jay F. Shriver
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Dynamic height ,010504 meteorology & atmospheric sciences ,Scale (ratio) ,010505 oceanography ,Resolution (electron density) ,Spectral density ,Sea-surface height ,Variance (accounting) ,Oceanography ,Geodesy ,01 natural sciences ,Ocean surface topography ,Geophysics ,Space and Planetary Science ,Geochemistry and Petrology ,Earth and Planetary Sciences (miscellaneous) ,Wavenumber ,Physics::Atmospheric and Oceanic Physics ,Geology ,0105 earth and related environmental sciences - Abstract
Two global ocean models ranging in horizontal resolution from 1/12° to 1/48° are used to study the space- and time-scales of sea surface height (SSH) signals associated with internal gravity waves (IGWs). Frequency-horizontal wavenumber SSH spectral densities are computed over seven regions of the world ocean from three simulations of the HYbrid Coordinate Ocean Model (HYCOM) and two simulations of the Massachusetts Institute of Technology general circulation model (MITgcm). High-wavenumber, high-frequency SSH variance follows the predicted IGW linear dispersion curves. The realism of high-frequency motions (>0.87cpd) in the models is tested through comparison of the frequency spectral density of dynamic height variance computed from the highest resolution runs of each model (1/25° HYCOM and 1/48° MITgcm) with dynamic height variance frequency spectral density computed from 9 in-situ profiling instruments. These high-frequency motions are of particular interest because of their contributions to the small-scale SSH variability that will be observed on a global scale in the upcoming Surface Water and Ocean Topography (SWOT) satellite altimetry mission. The variance at supertidal frequencies can be comparable to the tidal and low-frequency variance for high-wavenumbers (length scales smaller than ∼50km), especially in the higher resolution simulations. In the highest resolution simulations, the high-frequency variance can be greater than the low-frequency variance at these scales.
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- 2017
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12. Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies
- Author
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Gunnar Voet, Brian K. Arbic, Matthew H. Alford, Jay F. Shriver, J. Thomas Farrar, Anna C. Savage, Maarten C. Buijsman, Luis Zamudio, James G. Richman, Alan J. Wallcraft, and Hari Sharma
- Subjects
010504 meteorology & atmospheric sciences ,010505 oceanography ,Spectral density ,Sea-surface height ,Oceanography ,01 natural sciences ,Mesoscale eddies ,Internal gravity wave ,Geophysics ,Space and Planetary Science ,Geochemistry and Petrology ,Climatology ,Content (measure theory) ,Earth and Planetary Sciences (miscellaneous) ,Geology ,0105 earth and related environmental sciences - Published
- 2017
- Full Text
- View/download PDF
13. A Primer on Global Internal Tide and Internal Gravity Wave Continuum Modeling in HYCOM and MITgcm
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Conrad A. Luecke, E. Joseph Metzger, Anna C. Savage, Christopher E. Henze, Brian K. Arbic, J. Thomas Farrar, Dimitris Menemenlis, Luis Zamudio, Robert Ciotti, Harper L. Simmons, Matthew H. Alford, Jay F. Shriver, Rui M. Ponte, Arin D. Nelson, Joseph K. Ansong, Zhongxiang Zhao, Alan J. Wallcraft, Innocent Souopgui, Malte Müller, Bron Nelson, Hans Ngodock, Robert Hallberg, Patrick G. Timko, James G. Richman, Robert B. Scott, Maarten C. Buijsman, and Chris Hill
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Primer (paint) ,Internal gravity wave ,Internal tide ,engineering ,engineering.material ,Geodesy ,Continuum Modeling ,Geology - Published
- 2018
- Full Text
- View/download PDF
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