1 / 13

Storms activity : wave modelling and atmospheric circulation

Natural Risks Assessment Laboratory. Storms activity : wave modelling and atmospheric circulation. Part 1. Wave modelling. V. Arkhipkin 1 , S. Myslenkov 1 Part 2. Atmospheric circulation. A. Kislov 1 , G. Surkova 1 1 Lomonosov Moscow State University 1. Part 1. Wave modelling. Task:

wallis
Download Presentation

Storms activity : wave modelling and atmospheric circulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Natural Risks Assessment Laboratory Storms activity:wave modelling andatmospheric circulation Part 1. Wave modelling.V. Arkhipkin1, S. Myslenkov1 Part 2. Atmospheric circulation.A. Kislov1, G. Surkova1 1Lomonosov Moscow State University1

  2. Part 1. Wave modelling. Task: High-resolution retrospective analysis of storm waves in the Russian coastal zones of the Black and Caspian Seas Working plan: 1. Detecting storm. In example it was high wind speed or high waves if data is available. 2. Using model BOM to compute general circulation for all Black Sea. 3. Using model SWAN to compute wave height for all Black Sea, with BOM data assimilation. 4. Wave model validation by using wave data from sensors or visual data5. Using SWAN or SMS for small sub area with high detailed grid to compute wave height and influence of refraction for particular part of coast zone, where risk is real.

  3. Data and modeling tools Forcing wave model - NCEP-NCAR (~1,9x1,9; 4-daily) T,S climate data for thermohaline circulation Bathymetry BOM (Bergen Ocean Model) three-dimensional hydrodynamic multi-purpose model for coastal and shelf seas. SWAN (Simulating waves nearshore) is the most widely used computer model to compute irregular waves in coastal environments, based on deep water wave conditions, wind, bottom topography, currents and tides (deep and shallow water). SMS (Surface Water Modeling System) is a comprehensive environment for one-, two, and three-dimensional hydrodynamic modeling. A pre- and post-processor for surface water modeling and design, SMS includes 2D finite element, 2D finite difference, 3D finite element modeling tools. 

  4. Black Sea. Grid 5x5 km. Bathymetry and monthly climate Temprature, Salinity. BOM and SWAN adapted.

  5. Model surface velocity (BOM) for climate T,S February. (Cm/s)

  6. Caspian Sea. Grid 5x5 km. Bathymetry and monthly Climate Temperature, Salinity.BOM and SWAN are already adapted.

  7. Model surface velocity for climate T,S August and February. (Cm/s) August February

  8. Modeling Wave height (m) for Great storm November, 2007.

  9. Ship’s wave data Wave model validation by using visual wave data. Storm February 1953.

  10. Black Sea Storm June 2011Wave sensor data and Swan modeling

  11. ~4 km Nonstructural grid SMS for Blue Bay Black Sea.

  12. Surface Modeling System (SMS)Waves in Blue Bay in June 2011

  13. Initial results: • BOM and Swan models adapted and validated for Black and Caspian Seas on 5x5 km grid. • Swan and SMS models adapted for Several small key regions on nonstructural grid ~ 5-50 m • Wave data base include 40 years 3-hours wave characteristics for Caspian Sea and 10 years for Black Sea (5x5 km grid).

More Related