WORKING GROUP 1 MODELING OF WIND WAVES AND SURGE EVENTS IN THE CASPIAN, BLACK, AZOV AND BALTIC SEAS.

Slides:



Advertisements
Similar presentations
Chapter 15 Section - 1.
Advertisements

Parameterizing a Geometry using the COMSOL Moving Mesh Feature
INWAVE: THE INFRAGRAVITY WAVE DRIVER OF THE COAWST SYSTEM
Modeling to Revise Coastal Inundation and Flooding Estimates in Georgia and Northeast Florida Association of State Flood Plain Managers Conference May.
US Army Corps of Engineers BUILDING STRONG ® Great Lakes Flood Hazard Mapping Project - Data Development (Lake Michigan) Bruce Ebersole USACE Engineer.
PRESENTS: FORECASTING FOR OPERATIONS AND DESIGN February 16 th 2011 – Aberdeen.
Development and Implementation of Depth Dependent Wave Forcing and Stokes Drift into Coupled 3D PADCIRC/PUNSWAN Joshua Todd Coastal Engineering Department.
Operational Forecasting Wave Models. WaveWatch III (Tolman 1997, 1999a) Model description: – Third generation wave model developed at NOAA/NCEP. – Solves.
EE535: Renewable Energy: Systems, Technology & Economics
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 AdcircLite-NC Rapid computation of.
Fluidyn FLOWCOAST FLOOIL 3D Fluid Dynamics Model to Simulate Oil slick movement in coastal waters or rivers FLOOIL.
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1,
CHAPTER 5: PREDICTING STORM SURGE LESSONS FROM HURRICANE IKE.
Impact of Hurricanes on Nutrient Transport from Catchment to Coast: An Integrated Case Study of Mobile Bay and its Watershed Northern Gulf Coastal Hazards.
US Army Corps of EngineersCoastal and Hydraulics Laboratory - ERDC SWIMS Hawaii Hurricane Inundation Fast Forecast Tool Jane McKee Smith, Andrew B. Kennedy,
NCAR GIS Program : Bridging Gaps
Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,
Cracow Grid Workshop November 5-6 Support System of Virtual Organization for Flood Forecasting L. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and G.T. Nguyen.
ROLE OF HEADLANDS IN LARVAL DISPERSAL Tim Chaffey, Satoshi Mitarai Preliminary results and research plan.
A Voyage of Discovery Physical oceanography Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of Earth Sciences National Cheng Kung University.
Model Simulation Studies of Hurricane Isabel in Chesapeake Bay Jian Shen Virginia Institute of Marine Sciences College of William and Mary.
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 AdcircLite-NC: Rapid evaluation of.
Chapter 11 Tides.
The Integration of Model Results and GIS via the Marine Data Model.
Potential mechanism for the initial formation of rhythmic coastline features M.van der Vegt, H.M. Schuttelaars and H.E. de Swart Institute for Marine and.
Storm Surge Modeling for the New York City Metropolitan Region Brian A. Colle, Malcolm J. Bowman, Robert E. Wilson, Frank Buonaiuto, Robert Hunter, Douglas.
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.
Visualizing Hurricanes A multimedia lesson about hurricanes, storm surge, and scientific visualizations from models
Weather. Climate Average weather conditions over time.
DFIRM Subcommittee Update 1. Challenges Remain Climate Change and Sea Level Rise: Identify sea level rise timeframe and associated critical issues Data.
The Integration of Model Results and GIS via the Marine Data Model.
Environmental and Water Resources Engineering Division Civil Engineering Dr. Soumendra Nath Kuiry Assistant Professor Hurricane Gustav (2008) Simulation.
Assimilation of HF Radar Data into Coastal Wave Models NERC-funded PhD work also supervised by Clive W Anderson (University of Sheffield) Judith Wolf (Proudman.
SURA Super-Regional Testbed on Coastal Inundation – Extra-tropical Storm Harry V. Wang, Yi-cheng Teng, Yanqiu Meng and Derek Loftis Virginia Institute.
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.
AdcircLite-NC Rapid computation of storm surge and waves for NC coastal waters Brian Blanton Renaissance Computing Institute/UNC Chapel Hill Jesse Bikman,
The steady flow of ocean water in a prevailing direction.
USF FVCOM Tropical Cyclone Inundation Testbed Progress by Robert H. Weisberg, Lianyuan Zheng and Yong Huang College of Marine Science University of South.
1 Web-Based Data Archive, Monitoring, and Mining Tool Jeffrey A. Melby, PhD USACE ERDC Coastal and Hydraulics Lab
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.
Math/Oceanography Research Problems Juan M. Restrepo Mathematics Department Physics Department University of Arizona.
Modeling Coastal Erosion Near Barrow, Alaska Scott D. Peckham, William Manley, Mark Dyurgerov and James Syvitski INSTAAR, University of Colorado, Boulder.
“Very high resolution global ocean and Arctic ocean-ice models being developed for climate study” by Albert Semtner Extremely high resolution is required.
Xiaoming Wang and Philip L.-F. Liu Cornell University
1D Long-term Modelling of Longshore Sediment Transport
1 Storms activity: wave modelling and atmospheric circulation Part 1. Wave modelling. V. Arkhipkin 1, S. Myslenkov 1 Part 2. Atmospheric circulation. A.
Extreme Value Prediction in Sloshing Response Analysis
Land-Ocean Interactions: Estuarine Circulation. Estuary: a semi-enclosed coastal body of water which has a free connection with the open sea and within.
Contributing to the Prediction Coastal Flooding:
Tides Tides, or the rising and falling of the sea surface level, have a dominant effect on marine life on nearshore and coastal areas. The two factors.
1 THETIS:A DATA MANAGEMENT AND DATA VISUALIZATION SYSTEM FOR SUPPORTING COASTAL ZONE MANAGEMENT OF THE MEDITERRANEAN SEA (F0069: Telematics on Research)
OBSERVATIONSMODELINGPROJECT SWAN (Simulating Waves Nearshore) ADCIRC (Advanced Circulation Model) BOM (Bergen Ocean Model) WRF-ARW (Weather Research.
1 Vision for Marine and Coastal Services Digital Products Jamie Vavra Marine and Coastal Weather Services Branch Office of Climate, Water and Weather Services.
CHANGSHENG CHEN, HEDONG LIU, And ROBERT C. BEARDSLEY
A NNUAL AND SEASONAL VARIABILITY OF WIND WAVE PARAMETERS ON THE B LACK S EA F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University.
Chapter 7 Waves in the Ocean.
NAME SWG th Annual NOAA Climate Diagnostics and Prediction Workshop State College, Pennsylvania Oct. 28, 2005.
The Motions Of Our Oceans Creating An Understanding Of… Ocean Currents Wave Formation & Other Oceanic Events.
Open boundary conditions for forced wind waves in a coupled model of tide, surge and wave S.Y. Kim Dept of Social Management, Tottori University,
Estuarine Variability
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.
Extreme Value Prediction in Sloshing Response Analysis
Next Midterm Monday, May 18, 2009, 1:00
Chapter 20.
GIS and SMS in Numerical Modeling of Open Channel Flow
Landuse Attributes for Overland Wave Modeling
Shuyi S. Chen and Wei Zhao Cheryl Ann Blain
Update on Great Lakes Coastal Methodology
Mazen Abualtayef Associate Prof., IUG, Palestine
Presentation transcript:

WORKING GROUP 1 MODELING OF WIND WAVES AND SURGE EVENTS IN THE CASPIAN, BLACK, AZOV AND BALTIC SEAS

High-resolution retrospective analysis of wind waves in the Russian coastal zones of the Azov, Baltic, Black and Caspian Seas High-resolution retrospective analysis of surge events in the Russian coastal zones of the Azov, Baltic, Black and Caspian Seas TASKS OF WORKING GROUP 1

INITIAL DATA BATHYMETRY Caspian Sea 5 km x 5 km Black Sea 5 km x 5 km Azov Sea 0.02° x 0.01° Baltic Sea 0.05° x 0.05°

INITIAL DATA WIND FORCING NCEP/NCAR Reanalysis Caspian Sea - ~1,9x1,9°, 6 hour, Black Sea - ~1,9x1,9°, 6 hour, Azov Sea - 0.3° x 0.3°, 1 hour, Baltic Sea - ~1,9x1,9°, 6 hour,

SWAN (Simulating Waves Nearshore) ADCIRC (Advanced Circulation Model) SMS (Surface Water Modeling System) MODELS

Spectral wave model SWAN Friction JONSWAPNonlinear quadruplet wave interactionsTriad wave-wave interactionsBreakingDiffraction

ADCIRC ADVANCED CIRCULATION MODEL FOR OCEANIC, COASTAL AND ESTUARINE WATERS (ADCIRC) is a system of computer programs for solving time dependent, free surface circulation and transport problems in two and three dimensions. Typical ADCIRC applications include modeling tides and wind driven circulation, analysis of hurricane storm surge and flooding, dredging feasibility and material disposal studies, larval transport studies, near shore marine operations. ADCIRC is a highly developed computer program for solving the equations of motion for a moving fluid on a rotating earth. ADCIRC can be forced with: - elevation boundary conditions; - normal flow boundary conditions; - surface stress boundary conditions; - tidal potential; -earth load/self attraction tide.

SMS - The Complete Modeling Solution Flexible modeling approaches Aquaveo pioneered the conceptual model approach. Work with large, complex models in a simple and efficient manner by using the conceptual modeling approach and easily update or change the model as needed. SMS also has powerful tools to build meshes and grids. 3D visualization optimized for performance SMS is the most advanced software system available for performing surface-water simulations in a three-dimensional environment. Interact with models in true 3D Optimized OpenGL graphics for improved hardware rendering. Create photo-realistic renderings Generate animations for PowerPoint or web presentations Drape images over the model and control the opacity Annotations – Add north arrows, scale bars, reference images, company logos, and more Import what you need Models require data from many different sources. That’s why SMS is built to easily import numerous file types: Raster images including georeference and projection support; Topographical maps & aerial photos; Elevation & bathymetry data; Web data services such as TerraServer; ArcGIS geodatabases and shapefiles CAD files including.dwg,.dgn, and.dxf formats

ESTIMATION OF EXTREME WIND WAVE HEIGHTS Initial Distribution Method (IDM) Annual Maxima Series (AMS) Peak Over Threshold (POT) Quantile Function Method (BOULVAR) Initial Distribution Method Generalized characteristic of the wave regime are regime distributions. Analysis of measurement data showed that one-dimensional distribution of wave heights and periods are described by a logarithmically normal distribution: where μ - mathematical expectation, σ - the standard of the wave height logarithms. This distribution can be expressed in another way: where s=1/σ. To calculate the characteristics of extreme wave was the initial distribution method (IDM, Initial Distribution Method), in which to evaluate the highest wave height is taken quintile h(p) of regime height distribution F (h) for a given probability p:

COMPUTING RESOURCES NRAL Mini Cluster NRAL HP-Server Super Computer “Lomonosov” Peak Performance 510 TFlops Number of Processors/Cores 10260/44000 Memory Gb

WIND WAVE The largest calculated parameters of wind waves

CASPIAN SEA

BALTIC SEA

BLACK SEA

AZOV SEA

WIND WAVE Seasonal variability

Number of storms Average duration, h Average area, km 2 CASPIAN SEA BALTIC SEA

WIND WAVE Long-term variability

CASPIAN SEABLACK SEA BALTIC SEA

WIND WAVE Significant wave height of a possible 1 time in 100 years

BLACK SEACASPIAN SEA BALTIC SEA AZOV SEA

SURGE EVENTS

Grid cells and nodes Black line - the boundary of the computational domain; blue line – shoreline; red points – sea; blue points - land Storm surge December 1968 NORTHERN CASPIAN

AZOV SEA

NOVEMBER 2007