modeling of wind waves and surge events in the caspian, black, azov and baltic seas
DESCRIPTION
MODELING OF WIND WAVES AND SURGE EVENTS IN THE CASPIAN, BLACK, AZOV AND BALTIC SEAS. WORKING GROUP 1. TASKS OF WORKING GROUP 1. INITIAL DATA. BATHYMETRY. INITIAL DATA. WIND FORCING NCEP/NCAR Reanalysis. - PowerPoint PPT PresentationTRANSCRIPT
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 SeasHigh-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 DATABATHYMETRY
Caspian Sea5 km x 5 km
Black Sea5 km x 5 km
Azov Sea0.02° x 0.01°
Baltic Sea0.05° x 0.05°
INITIAL DATAWIND FORCING
NCEP/NCAR ReanalysisCaspian Sea - ~1,9x1,9°, 6 hour,
1948-2010
Black Sea - ~1,9x1,9°, 6 hour, 1948-2010
Azov Sea - 0.3° x 0.3°, 1 hour, 1979-2010
Baltic Sea - ~1,9x1,9°, 6 hour, 1948-2010
SWAN (Simulating Waves Nearshore)
ADCIRC (Advanced Circulation Model)
SMS (Surface Water Modeling System)
MODELS
Spectral wave model SWAN
Friction JONSWAP
Nonlinear quadruplet wave interactionsTriad wave-wave interactions
Breaking
Diffraction
ADCIRCADVANCED 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 approachesAquaveo 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 3DOptimized OpenGL graphics for improved hardware rendering.Create photo-realistic renderingsGenerate animations for PowerPoint or web presentationsDrape images over the model and control the opacityAnnotations – Add north arrows, scale bars, reference images, company logos, and more
Import what you needModels 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 shapefilesCAD 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 MethodGeneralized 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: dxx
xxF
x
2ln
21exp1
21)(
where μ - mathematical expectation, σ - the standard of the wave height logarithms. This distribution can be expressed in another way:
dxxx
xsxF
x
5.0
2ln21exp1
2)(
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:
Ttp
36524
COMPUTING RESOURCES
NRAL Mini Cluster
NRAL HP-Server
Super Computer “Lomonosov”
Peak Performance 510
TFlops Number of
Processors/Cores 10260/44000
Memory 73 290 Gb
WIND WAVEThe largest calculated parameters of wind
waves
CASPIAN SEA
BALTIC SEA
BLACK SEA
AZOV SEA
WIND WAVESeasonal variability
Number of storms Average duration, h Average area, km2
CASPIAN SEA
BALTIC SEA
WIND WAVELong-term variability
CASPIAN SEA BLACK SEA
BALTIC SEA
WIND WAVESignificant wave height of a possible 1 time
in 100 years
BLACK SEA CASPIAN SEA
BALTIC SEA AZOV SEA
SURGE EVENTS
Grid -107651 cells and 54805 nodes
Black line - the boundary of the computational domain; blue line – shoreline; red points – sea; blue points - land
Storm surge - 23-27 December 1968
NORTHERN CASPIAN
AZOV SEA
NOVEMBER 2007
NOVEMBER 2007