1. “Video-driven prediction of daily to monthly coastal evolution” 5. Assimilation (two-way use of Argus and models) University of Cantabria (UCa)

2. “Video-driven prediction of daily to monthly coastal evolution” 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results

3. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results Shipping operation Desembarkation from landing ship Need Forecasting Wave heigh Wave currents Surf zone width

4. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results Beach safety Swimming safety Common hazardous

5. METEOROLOGICAL AND OCEANOGRAPHIC DATA MORPHOLOGY DATA CURRENT MODEL SURF ZONE PARAMETERES FORECAST FOR 48 H GRAPHIC / MAP DECISION MAKERS WAVE PROPAGATION MODEL DATA NUMERICAL SIMULATIONS OUTPUT 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results

6. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results

7. Surf zone parameters for: 17/jun/2004 - 06:00 UTC - Forecast horizon: 42 Astronomical tide: 0.81m, Peak period: 8.07s Profile 1 Surf zone width: 106m Breaking type: Spilling Breaking wave height: 0.23m Profile 2 Surf zone width: 146m Breaking type: Spilling Breaking wave height: 0.22m 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results

8. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results METEOROLOGICAL AND OCEANOGRAPHIC DATA MORPHOLOGY DATA CURRENT MODEL SURF ZONE PARAMETERES FORECAST FOR 48 H GRAPHIC / MAP DECISION MAKERS WAVE PROPAGATION MODEL DATA NUMERICAL SIMULATIONS OUTPUT CAMERAS Bathymetry

9. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results X Y Z Wet beach DUNE High tide Low tide IBM Aarninkhof Aarninkhof, 2003 (x1,y1) (x2,y2) Profile distance (m) Vertical elevation (m) All pixel lines of the day Automatic Profile Kingston et al, 2000 Feed-Forward Artificial Neural Network

10. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results LAST FORECAST CYCLE: 27/OCT/2003 – 12:00 UTC

11. 1.Introduction and issues 2.Current approach 3.Information gap and argus solutions 4.Video-derived data and techniques 5.Application and results Surf zone parameters for: 27/OCT/2003 - 12:00 UTC - Forecast horizon: 42 Astronomical tide: 0.81m, Peak period: 8.07s Profile 1 Surf zone width: 106m Breaking type: Spilling Breaking wave height: 0.23m Profile 2 Surf zone width: 146m Breaking type: Spilling Breaking wave height: 0.22m Profile 3 Surf zone width: 207m Breaking type: Spilling Breaking wave height: 0.27m 10002000300040005000 1000 2000 3000 4000 5000 6000 P1P2 P3P4P5 P6