Moored Measurements to capture generation, evolution and structure of NLIWs – J. Nash OSU Objectives:  Define generation mechanisms  Assess predictability.

Slides:



Advertisements
Similar presentations
INTERNAL WAVE GENERATION, BREAKING, MIXING AND MODEL VALIDATION ALAN DAVIES (POL) JIUXING XING (POL) JARLE BERNTSEN (BERGEN)
Advertisements

Numerical simulation of internal tides in the Sicily and Messina Straits Jihene Abdennadher and Moncef Boukthir Institut Preparatoire aux Etudes d’Ingenieur.
Level set based Image Segmentation Hang Xiao Jan12, 2013.
Turbulent Mixing During an Admiralty Inlet Bottom Water Intrusion Philip Orton Hats off to the A-Team: Sally, Erin, Karin and Christie! Profs extraordinaire:
Mixing in Cold water Domes and at Sills Alan M. Davies and Jiuxing Xing Proudman Oceanographic Laboratory, Liverpool, UK.
LES of Turbulent Flows: Lecture 10 (ME EN )
2 – SEA WAVE CHARACTERIZATION António F. de O. Falcão Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal Renewable Energy Resources 2008.
ESS 7 Lecture 14 October 31, 2008 Magnetic Storms
Annual- and zonal-mean climate of the tropics (NCEP) Relative humidity [%] Temperature [degC] surface pressure [mb] equatorial trough subtropical high.
SW06/NLIWI Breakout Sessions Physical Oceanography January 31, 2007.
Nonlinear internal waves in Massachusetts Bay: Using a model to make sense of observations A. Scotti University of North Carolina.
Modeling the M 2 and O 1 Barotropic and Baroclinic Tides in the Gulf of Mexico Using the HYbrid Coordinate Ocean Model (HYCOM) Flavien Gouillon 1 ; B.
Tides and the salt balance in a sinuous coastal plain estuary H. Seim, UNC-CH J. Blanton, SkIO Tides Residual circulation Salt balance.
Observations of the Coastal Ocean Response to Ivan: Implications for Hurricane Intensity Change Lynn “Nick” Shay, G. Halliwell, and W. Teague MPO, RSMAS,
The transition from mesoscale to submesoscale in the California Current System X. Capet, J. McWilliams, J. Molemaker, A. Shchepetkin (IGPP/UCLA), feb.
Physics of Tsunamis Part 3: Energy of Tsunamis. Review from last week  Energy: potential, kinetic, mechanical?  What kind of energy is originally created.
Submesoscale secondary instability in an upwelling system: mechanisms and implications for upper ocean dynamics X. Capet, J. McWilliams, J. Molemaker,
SIO 210: Eddies and mixing L. Talley Fall, 2014
El Nino Southern Oscillation (ENSO) 20 April 06 Byoung-Cheol Kim METEO 6030 Earth Climate System.
Forecasting Ocean Waves Problem: Given observed or expected weather, what will be the sea state? Ships are sunk not by winds, but by waves!
Estuarine Variability  Tidal  Subtidal Wind and Atmospheric Pressure  Fortnightly M 2 and S 2  Monthly M 2 and N 2  Seasonal (River Discharge)
+ Effects of Climate Change on Ocean Storms Chloe Mawer.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Jiuxing Xing and Alan M. Davies
Lien, R.-C., and M. C. Gregg (2001), Observations of turbulence in a tidal beam and across a coastal ridge, J. Geophys. Res., 106,
An Assimilating Tidal Model for the Bering Sea Mike Foreman, Josef Cherniawsky, Patrick Cummins Institute of Ocean Sciences, Sidney BC, Canada Outline:
Development of an “end-to-end” altimeter mission simulator Alix Lombard - Juliette Lambin (CNES) Laurent Roblou – Julien Lamouroux (NOVELTIS)
The MJO Not really….it’s The Madden Julian Oscillation.
*K. Ikeda (CCSR, Univ. of Tokyo) M. Yamamoto (RIAM, Kyushu Univ.)
Tatiana Talipova in collaboration with Efim Pelinovsky, Oxana Kurkina, Roger Grimshaw, Anna Sergeeva, Kevin Lamb Institute of Applied Physics, Nizhny Novgorod,
ROMS User Workshop, Rovinj, Croatia May 2014 Coastal Mean Dynamic Topography Computed Using.
Wave-tracking Experiment to Assess NLIW Generation, Structure, Evolution and Dissipation Detection of NLIW by Seafloor Pressure Measurement bottom landers.
EISCAT Svalbard Radar studies of meso-scale plasma flow channels in the polar cusp ionosphere Y. Dåbakk et al.
Modulation of eastern North Pacific hurricanes by the Madden-Julian oscillation. (Maloney, E. D., and D. L. Hartmann, 2000: J. Climate, 13, )
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Jian-Wen Bao Christopher W. Fairall Sara A. Michelson Laura Bianco NOAA/ESRL/Physical Sciences Division in collaboration with N. Surgi, Y. Kwon and V.
What a drag! A numerical model of time-dependent f low over topography Sally Warner Advised by Parker MacCready December 6, 2006.
CLOSED ENERGY BUDGETS FOR REGIONAL NUMERICAL SIMULATIONS Parker MacCready University of Washington.
Internal Tide Generation Over a Continental Shelf Summer 2008 internship Gaёlle Faivre Flavien Gouillon, Alexandra Bozec Pr. Eric P. Chassignet.
The Linear and Non-linear Evolution Mechanism of Mesoscale Vortex Disturbances in Winter Over Western Japan Sea Yasumitsu MAEJIMA and Keita IGA (Ocean.
Internal Wave Interactions with Time-Dependent Critical Levels Brian Casaday and J. C. Vanderhoff Department of Mechanical Engineering Brigham Young University,
Three Lectures on Tropical Cyclones Kerry Emanuel Massachusetts Institute of Technology Spring School on Fluid Mechanics of Environmental Hazards.
1 Metingen van getijden dissipatie uit satelliet observaties E. Schrama, TU Delft / DEOS The Netherlands
“Very high resolution global ocean and Arctic ocean-ice models being developed for climate study” by Albert Semtner Extremely high resolution is required.
1) What is the variability in eddy currents and the resulting impact on global climate and weather? Resolving meso-scale and sub- meso-scale ocean dynamics.
Interactions between the Madden- Julian Oscillation and the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements:
Internal tides Seim, Edwards, Shay, Werner Some background SAB – generation site? Shelf observations Towards a climatology?
Impact of shelfbreak fronts on long-range underwater sound propagation in the continental shelf area Ying-Tsong Lin 1, Alexey Shmelev 1, James F. Lynch.
Pol Dirk Olbers and Carsten Eden Wave-mean flow interaction and IDEMIX IDEMIX Internal wave Dissipation, Energetics and MIXing.
Attributing tropical cyclogenesis to equatorial waves in the western North Pacific Lin Ching 2013/12/17 Schreck, C.J. III, J. Molinari, and K.I. Mohr,
Inertia-Gravity waves and their role in mixing Geraint Vaughan University of Manchester, UK.
SW06 Acoustics and Oceanography Data and Analysis Plans Jim Lynch, Art Newhall, et al. WHOI et elsewhere.
Center for Ocean-Atmospheric Prediction Studies
End of Semester Groupmeeting
Coupled atmosphere-ocean simulation on hurricane forecast
Convective Scale Modelling Humphrey Lean et. al
The SIO Glider Program The underwater glider ‘Spray’
Mark A. Bourassa and Qi Shi
Glen Gawarkiewicz Andrey Shcherbina Frank Bahr Craig Marquette
SW06 Modal Mapping Experiment (MOMAX) Overview
Forecasting Ocean Waves
Lake Iseo Field Experiment
Andreas Münchow University of Delaware Kelly Falkner
Turbulent Kinetic Energy (TKE)
Potential Vorticity Thinking
Convective Heat Transfer
Nonlinear effects in internal waves
Andrew Lawrie & Stuart Dalziel G. K. Batchelor Laboratory,
Orographic Influences on Rainfall Associated with Tropical Cyclone
The Flux Model of Orographic Rain
Presentation transcript:

Moored Measurements to capture generation, evolution and structure of NLIWs – J. Nash OSU Objectives:  Define generation mechanisms  Assess predictability  Compute conversion efficiencies Shelfbreak moorings capture: high-frequency internal (M2, near-f) and BT mesoscale

Predictability? Waves occur at all phases of the tide… More intense & numerous during neap tides?  variable generation location & mechanism  variable wave speed & direction? Catalog of waves assessd from SW37 (70 m) ADCP w & ζ

Eastward velocity at shelfbreak M2 Near-f

Shelfbreak velocity:  M2  Near-inertial  Mesoscale Both near-f and M2 velocity variance are greater offshore of shelfbreak Strong horizontal gradients

Consider an example… Wave Wyatt SW37 Bottom Lander velocity and wave-induced pressure validation (Moum & Nash – submitted JPO) U [m/s] W [m/s] P bottom [Pa]

Wave Wyatt (22-Aug) Wave Tracking (Moum et al, OSU Ocean Mixing) provides context for moorings: orientation, speed detailed vertical structure energy, energy flux & dissipation evolution, modal conversion, etc. Emily Shroyer (OSU)

This is Wyatt

Generation Diagnostics – still Wyatt energy flux (linear contribution) U and ρ

There’s much more than surface-trapped NLIWs…

Shelfbreak Energetics: Quantify wave climate energy sources/ conversion spectrally (i.e., statistically) Identify origin of named waves (i.e., deterministically) Assess formation predictability Not just waves of depression   Wave propagation: Assessing wave properties from under-resolved moorings Potential Co-conspirators: Duda, Gawarkiewicz, Glenn, Graber, Henyey, Lynch, Moum, Scotti, Shearman, Shroyer, Wilkin… Current Directions