SWARP: WP2, wave modelling

Slides:



Advertisements
Similar presentations
2. The WAM Model: Solves energy balance equation, including Snonlin
Advertisements

The Wave Model ECMWF, Reading, UK.
Slide 1 The Wave Model ECMWF, Reading, UK. Slide 2The Wave Model (ECWAM) Resources: Lecture notes available at:
1 Verification of wave forecast models Martin Holt Jim Gunson Damian Holmes-Bell.
Draft Recommendations subtitle here. Recommendation 1 The study groups from this workshop continue to collaborate with the goal of reporting progress.
OSE meeting GODAE, Toulouse 4-5 June 2009 Interest of assimilating future Sea Surface Salinity measurements.
Operational Forecasting Wave Models. WaveWatch III (Tolman 1997, 1999a) Model description: – Third generation wave model developed at NOAA/NCEP. – Solves.
Version 1.1, Jan. 2013Obstructions 1/26WW Winter School 2013 Developing Obstruction grids Arun Chawla The WAVEWATCH III Team + friends Marine Modeling.
2 – SEA WAVE CHARACTERIZATION António F. de O. Falcão Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal Renewable Energy Resources 2008.
ORBITAL ELEMENTS. LaGrangian Points L2 Earth-Sun.
Observation-Based Physics for the Third Generation Wave Models
A coherent framework for forecasting currents, waves and drift: 1. What we do at SHOM 2. Hydrodynamics theory 3. First results 4. Perspectives on remote.
Using Scatterometers and Radiometers to Estimate Ocean Wind Speeds and Latent Heat Flux Presented by: Brad Matichak April 30, 2008 Based on an article.
The first 2 terms on the RHS are nonlinear terms in the bias. The group labeled THF are transient heat advection bias. Q^ is the bias in diabatic heating.
Page 1© Crown copyright 2004 Forecasting sea state with a spectral wave model Rogue Waves 2004, Brest Martin Holt 22 October
Robert LaPlante NOAA/NWS Cleveland, OH David Schwab Jia Wang NOAA/GLERL Ann Arbor, MI 22 March 2011.
1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Wave Energy Resource Assessment and GIS Database for the U.S. Paul T. Jacobson.
Proposed Capabilities ASIS – Pulse-Coherent Sonars (RaDyO/SO GasEx) – Bubble-Size Distribution (Duck) Ship-Based – WaMoS II (SO GasEx) – Scanning LIDAR.
An Instrumented Coastal Process Modeling Test Bed US Army Corps of Engineers BUILDING STRONG ® Jeff Hanson U. S. Army Engineer Research and Development.
SWARP KO Bergen, 4 Feb WP4 : Satellite remote sensing of wave in ice
The Air-Sea Momentum Exchange R.W. Stewart; 1973 Dahai Jeong - AMP.
Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.
Sea-ice freeboard heights in the Arctic Ocean from ICESat and airborne laser H. Skourup, R. Forsberg, S. M. Hvidegaard, and K. Keller, Department of Geodesy,
SMOS STORM KO meeting 30/01/2012 ESRIN Ocean Surface Remote Sensing at High Winds with SMOS.
Ensemble-variational sea ice data assimilation Anna Shlyaeva, Mark Buehner, Alain Caya, Data Assimilation and Satellite Meteorology Research Jean-Francois.
Coastal Altimetry Workshop - February 5-7, 2008 CNES initiative for altimeter processing in coastal zone : PISTACH Juliette Lambin – Alix Lombard Nicolas.
Opening and closing of the Storfjorden polynya. Coastal Polynya Skogseth (2003), PhD thesis Storfjorden is estimated to supply 5-10% of the newly formed.
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
and Modelling the North Pacific Ocean
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
Problems and Future Directions in Remote Sensing of the Ocean and Troposphere Dahai Jeong AMP.
Version 1.4, Jan. 2013Triangles 1/27WW Winter School 2013 Running WWATCH on triangular meshes Fabrice Ardhuin The friends of WAVEWATCH III Team Marine.
Ocean and sea-ice data assimilation and forecasting in the TOPAZ system L. Bertino, K.A. Lisæter, I. Kegouche, S. Sandven NERSC, Bergen, Norway Arctic.
WP5: Integration & Validation IFREMER, NERSC, NIERSC, ODL, NAVTOR, NERC.
TOPAZ evaluation L. Bertino, F. Counillon, P. Sakov Mohn-Sverdrup Center/NERSC GODAE workshop, Toulouse, June 2009.
Use of sea level observations in DMIs storm surge model Jacob L. Høyer, Weiwei Fu, Kristine S. Madsen & Lars Jonasson Center for Ocean and Ice, Danish.
1http://saf.met.noSAF on Ocean and Sea Ice SAF=Satellite Application Facility Distributed MSG/Metop ground segmentDistributed MSG/Metop ground segment.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
WIND STRESS OVER INDIAN OCEAN Abhijit Sarkar, K Satheesan, Anant Parekh Ocean Sciences Division Space Applications Centre, INDIA ISRO-CNES Joint Programme.
Wind-wave growth in the laboratory studies S. I. Badulin (1) and G. Caulliez (2) (1) P.P. Shirshov Institute of Oceanology, Moscow, Russia (2) Institut.
DMI-OI analysis in the Arctic DMI-OI processing scheme or Arctic Arctic bias correction method Arctic L4 Reanalysis Biases (AATSR – Pathfinder) Validation.
VERIFICATION STRATEGY FOR OCEANS, WAVES & SEA-ICE Robert Grumbine, Avichal Mehra and Arun Chawla NWS/NCEP/EMC.
1 Lecture 17 Ocean Remote Sensing 9 December 2008.
Sources of Surface Wind Fields for Climate Studies From Surface Measurements –Ships –Buoys From Models –GCM (with K-theory PBLs) –UW Similarity Model.
Scatterometers at KNMI; Towards Increased Resolution Hans Bonekamp Marcos Portabella Isabel.
Thirty Years of Operational Ocean Wave Forecasting at Fleet Numerical Meteorology and Oceanography Center Paul Wittmann and Mike Clancy Fleet Numerical.
Remote Sensing Division Naval Research Lab, Washington, DC Separating Whitecap Fraction of Active Wave Breaking From Satellite Estimates of Total.
Extreme Waves at the Great Lakes: Performance of NCEP’s Operational Wave Models Jose-Henrique Alves Research Scientist 1.
Satellite Oceanography Modified from a Presentation at STAO 2003 By Dr. Michael J. Passow.
WISE 2008 Meeting – Helsinki, Finland3 June 2008 Swell dissipation across ocean basins Fabrice Ardhuin, Bertrand Chapron and Fabrice Collard.
Tropical Report: Modeling Hurricane Ike with SLOSH Don Slinn, Jeff Ren, Go Fujita Univ of Florida Coastal Engineering.
Evaluation of Upper Ocean Mixing Parameterizations S. Daniel Jacob 1, Lynn K. Shay 2 and George R. Halliwell 2 1 GEST, UMBC/ NASA GSFC, Greenbelt, MD
Milton Garces, Claus Hetzer, and Mark Willis University of Hawaii, Manoa Source modeling of microbarom signals generated by nonlinear ocean surface wave.
The OC in GOCE: A review The Gravity field and Steady-state Ocean Circulation Experiment Marie-Hélène RIO.
Validation of a set of input source terms based of altimeters data Jean-Michel Lef è vre, Lotfi Aouf, Fabrice Ardhuin and Pierre Queffeulou. WISE 2008,
HYCOM and GODAE in Relation to Navy Ocean Prediction An Overview Presented by Harley Hurlburt Naval Research Laboratory Stennis Space Center, MS
In order to accurately estimate polar air/sea fluxes, sea ice drift and then ocean circulation, global ocean models should make use of ice edge, sea ice.
Passive Microwave Remote Sensing
Michael Steele Polar Science Center / APL University of Washington Jan 14, 2009 AOMIP WHOI Mechanisms of Upper Ocean Warming in the Arctic and the Effect.
Bruce Cornuelle, Josh Willis, Dean Roemmich
Enhancement of Wind Stress and Hurricane Waves Simulation
Importance of high-resolution modeling for storm surge, hurricane waves, coastal water levels, and currents in Puerto Rico and the U.S. Virgin Islands.
Frequency dependent microseismic sources
ASCAT sensors onboard MetOps : application for sea ice
Ships and Waves Reaching Polar regions
5th Workshop on "SMART Cable Systems: Latest Developments and Designing the Wet Demonstrator Project" (Dubai, UAE, April 2016) Contribution of.
WaveFlow KO Øyvind Breivik (MET Norway), Joanna Staneva (HZG), Jean Bidlot (ECMWF) and George Nurser (NOC)
Shuyi S. Chen and Wei Zhao Cheryl Ann Blain
Forecasting sea state with a spectral wave model
Forecasting sea state with a spectral wave model
Presentation transcript:

SWARP: WP2, wave modelling Fabrice Ardhuin, Mickael Accensi, Pierre Queffeulou, Fanny Ardhuin (Ifremer) Fabrice Collard (Oceandatalab) Aron Roland (TU Darmstadt) http://wwz.ifremer.fr/iowaga http://www.previmer.org/previsions/vagues

Outline 1. Building on other projects and developments : IOWAGA (ERC), Waves-NOPP (U.S. ONR) ... 2. Specific developments for SWARP: Numerics (implementation of new model version) Development of parameterizations: - friction below the ice - shorelines & ice-edge reflections - scattering Estimation of energy & momentum fluxes 3. Hindcasts & forecasts

Building on other projects and developments SWARP Kick-off, February 3, 2014 1 Building on other projects and developments wwz.ifremer.fr/iowaga

1. a multi-parameter global wave hindcast The ERC-funded IOWAGA project integrates - Coastal hydrodynamics - Air-sea fluxes - Remote sensing - Microseisms into a single consistent wave modelling system. → new version 4.18 of WAVEWATCH III (distributed by NOAA/NCEP) → hindcast database, >40 different parameters (http://tinyurl.com/iowagaftp) - Results from global multigrid (1993-2013) : GLOBAL : (30' resolution)... up to 80°N only PACE (10'): East Pacific (Alaska to Peru), with Hawaii & ... ATNW (10'): U.S. East coast + Gulf of Mexico ATNE (10'): Iceland to Morocco (6'). NC (3'): New Caledonia & Vanuatu (3') CRB (3'): Lesser Antilles (Puerto Rico to Venezuela, 3') 1 or 2 runs (with CFSR and / or ECMWF op. Winds) Recent runs : > 9000 full spectra output (along all shorelines + others) + finite element zooms in coastal areas

1. a multi-parameter global wave hindcast IOWAGA hindcast particularly focused on - better swells (swell dissipation based on Ardhuin et al. GRL 2009) - better high frequency energy ( → Stokes drift, mss, see JPO 2009, 2010) - better directional parameters (Ardhuin & Roland JGR 2012, Ardhuin et al. JASA 2013) important for acoustic and seismic noise General validation : Rascle & Ardhuin (Ocean Modelling 2013) Here are a few plots with data from http://tinyurl.com/iowagaftp … but GLOBAL : (30' resolution)... up to 80°N only

Specific developments for SWARP SWARP Kick-off, February 3, 2014 2 Specific developments for SWARP wwz.ifremer.fr/iowaga

2. developments for SWARP Extension to Arctic : just one more grid ? - 12 km polar grid, same as NSIDC or Ifremer-CERSAT sea ice products (concentration and drift from SSM/I + ERS / QuikSCAT / ASCAT) first tests : forced by global grid - next steps : Two-way nested in multigrid Bathymetry for new grid (IBCAO) Possible higher resolution if needed (12 km Arctic is less expensive that global hindcast)

2. developments for SWARP Parameterizations: Implementation of shoreline reflection on curvilinear grid - could be added for ice edge … Implementation of viscous & turbulent friction under the ice : Generalization of Liu & al. (JGR 1991) following work on swell dissipation (Ardhuin & al. 2009, Rascle & Ardhuin 2013, Perignon et al., submitted) - non linear dissipation rate for turbulent cases, no “eddy viscosity” - transition threshold (laminar to turbulent), random waves → smoothing Scattering term: to be defined Solution method taken from bottom topography scattering (Ardhuin & Magne 2007)

2. developments for SWARP It runs! … Example of wave data retrieval from SAR imagery (2011/03/04 9h14, Envisat) sea ice water WW3 results : Wave heights from SAR (not adapted yet to sea ice)

Hindcasts and forecasts SWARP Kick-off, February 3, 2014 3 Hindcasts and forecasts wwz.ifremer.fr/iowaga

2. Tests with different forcing products Sept 16th : Yearly sea ice extent minimum Sept 17th : Freeze observed by scatt., not by radiometer Sept 18th : Freeze observed by both sensors Concentration from radiometer Standard deviation of backscatter data Concentration from radiometer Concentration from radiometer Interest of the use of both scatterometer and radiometer data for MIZ monitoring Scatterometer sensor can detect the very first stage of sea ice

3. Hindcasts & forecasts 2008-2015: Arctic hindcasts - multi-grid system including 12 km grid - ECMWF winds + ?? ice - higher resolution mesh focusing on ice edge ? 2016: forecasts Deliverables: Jan 2015 : First version of wave and sea ice models. Data exchanged between the partners, deliverable 2.1 “First wave model results covering the MIZ” Jan 2016 : Validation completed. Data flows integrated to NavPlanner, deliverable 2.2 “Upgraded wave model” July 2016 : deliverable 2.3 “Forecast and hindcast simulations for demonstration”

3. Validation of the wave model a) wave parameters Generic validation: Altimeters (Hs & mss ): in ice-free water Permanent buoys: general context (Iceland + Barents Sea ) WIFAR 2012 + other field data validation: Detailed estimation of spectra, specific validation of wave attenuation rates SAR-derived attenuation rates rms error for Hs (%) Ardhuin et al. 2010 (Prévimer) Ardhuin et al. 2010

1. a multi-parameter global wave hindcast The ERC-funded IOWAGA project integrates - Coastal hydrodynamics - Air-sea fluxes - Remote sensing - Microseisms into a single consistent wave modelling system. → new version 4.18 of WAVEWATCH III (distributed by NOAA/NCEP) → hindcast database, >40 different parameters (http://tinyurl.com/iowagaftp) - Results from global multigrid (1993-2013) : GLOBAL : (30' resolution)... up to 80°N only PACE (10'): East Pacific (Alaska to Peru), with Hawaii & ... ATNW (10'): U.S. East coast + Gulf of Mexico ATNE (10'): Iceland to Morocco (6'). NC (3'): New Caledonia & Vanuatu (3') CRB (3'): Lesser Antilles (Puerto Rico to Venezuela, 3') 1 or 2 runs (with CFSR and / or ECMWF op. Winds) Recent runs : > 9000 full spectra output (along all shorelines + others) + finite element zooms in coastal areas

Scattering in the MIZ inferred from seismic/acoustic noise ? AGU meeting, San Francisco, December 2013 3 Scattering in the MIZ inferred from seismic/acoustic noise ? wwz.ifremer.fr/iowaga

k2 K k1 3. Scattering and noise : theory Hasselmann (1963) : nearly opposing waves generate seismic noise k2 K k1 Movie of sea surface elevation Z = Z1 + Z2 Any 2nd order quantity like Z2 will thus contain K = k1 ± k2 and f = f1 ± f2 Higher order interactions : K = k1 ± k2 ± k3 and f = f1 ± f2 ± f3 … and so on … The interaction of k1 and k2 gives noise at K = k1 + k2 and f = f1 + f2 Resonant interaction if 2 pi f / K = Cs , the phase speed of one seismic mode. For any f, this selects K.

5.1 Validation of the wave model a) wave parameters Generic validation: Altimeters (Hs & mss ): in ice-free water Permanent buoys: general context (Iceland + Barents Sea ) WIFAR 2012 + other field data validation: Detailed estimation of spectra, specific validation of wave attenuation rates SAR-derived attenuation rates rms error for Hs (%) Ardhuin et al. 2010 (Prévimer) Ardhuin et al. 2010

FF 3. Scattering and noise : When do we get noise ? From wave spectrum to acoustic or seismic noise : deep water waves : noise source proportional to Noise is linked to waves in opposite directions. Loud sources in MIZ ?? Example of seismic records around the Pacific due to « swell collision » : FF Obrebski et al. (GRL 2012)

3. Scattering and noise : Different modes Different modes : - seismic waves (Rayleigh or body waves) → can be recorded on land ! - acoustic gravity waves (evanescent : local sea state) 100 to 500 m depth Evanescent modes dominate (see Cox & Jacobs GRL 1989)

Example of a noise event ... 3. Scattering and noise : Example of a noise event ... KBS Greenland DBG Iceland SCO

Example of a noise event ... 3. Scattering and noise : Example of a noise event ... Modeled seismic sources Hs Seismic spectra at SCO

1. Bottom friction Cliffs north of Jan Mayen : strong wave reflection (another day)...

Perspectives 4 AGU meeting, San Francisco, December 2013 wwz.ifremer.fr/iowaga

Anybody has a mooring out there? - Introducing wave dissipation and scattering in the MIZ : Verification of dissipation with SAR-derived Hs and Tm02 Scenarii for scattering : how large can it be given seismic records ? - Deploying pressure sensors 100 to 500 m from the surface? Direct measurements of evanescent modes → measurement of I(f) integral, a very strong constraint on scattering strength. Anybody has a mooring out there? Les MNT dans la modélisation côtière - Journée Valor'IG09 It works ! Data from SBE26 in 100 m depth (Ardhuin & al. JASA 2013)