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COAWST Modeling System Training Woods Hole, MA, USA | August 25-28. Using COAWST in the development of a high resolution operational oceanographic & oil spill system in Santander Bay ( Spain ) - PowerPoint PPT Presentation
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Using COAWST in the development of a high resolution operational oceanographic & oil spill
system in Santander Bay (Spain)S. Castanedo1, B. Perez-Diaz1, A. J. Abascal1, M. Cardenas1, M. Olabarrieta1, R. Medina1, J. Receveur2, E.
Evrard2, J. Guyomarch2
1Environmental Hydraulics Institute, Universidad de Cantabria (Spain)2Centre de documentation, de recherche et d'expérimentations sur les pollutions accidentelles des eaux, CEDRE (France)
COAWST Modeling System TrainingWoods Hole, MA, USA | August 25-28
1. INTRODUCTION
Framework
SPRES project, co-funded by the European Transnational Programme Duration of the project 2.5 years (9/01/2012 – 9/07/2014)
Total budget:≈1.8 M€ (ERDF co-financing rate: 65%)
1. INTRODUCTION
Objective
1
2
3
4
• Operational forecasting systems (HR-OOS)
• Oil spill risk assessment tools
- local scale - (estuaries and ports)
Santander Bay
1. INTRODUCTION
Santander
Puntal spit
Sardinero Beach
Santander Port
Miera river
Airport
hmax of 10–12 m
2270 ha (65% intertidal areas)250,000 inhabitants
3.5 km
0.8 km
• Mean tide range = 3 m• Spring tide range = 5 m• Daily mean fresh water discharge = 8 m3/s• Mean Hs= 1m• Typical winter storm wave: Hs=5 m.
Atmospheric data(AEMET)
Ocean data(MyOcean)
FTP FTP
Data preprocessing
Wind, SLP,Heat fluxes
Sea level,2D currents, T, S
COAWST model2 day forecast of ocean variables
TESEO model
WindMarine forecast
mapsSpill
characteristicsOil spill
trajectory forecast
2 day forecast of spill trajectories
HR-OOM
HR-OSM
2. SYSTEM SETUP
MyOcean – IBI
2. SYSTEM SETUP
INITIAL AND OPEN BOUNDARY CONDITIONS
dt: 1 hour (2D), 1 day (3D)dx: 1/36ºdz: 50 layersForecast: 5 days
• Sea level• 3D T and 3D S• 2D currents• 3D currents
ATMOSPHERIC FORCING
• Wind fields and SLP• Heat Fluxes
dt: 1 hour dx: 15 kmForecast: 72 hr
GRIDS: Dynamic downscalingMYOCEAN-IBI GRID (1/36°)
GRID NAMEHorizontal
cell Vertical levels Cell size (m)
Intermediate grid 560x105 5 230
Local grid 256x281 5 45
INTERMEDIATE GRID
LOCAL GRID
2. SYSTEM SETUP
• Two-way nesting• Horiz.: cartesian coord.• Vert.: Sigma coord.
Atmospheric data(AEMET)
Ocean data(MyOcean)
FTP FTP
Data preprocessing
Wind, SLP,Heat fluxes
Sea level,2D currents, T, S
COAWST model2 day forecast of ocean variables
TESEO model
WindMarine forecast
mapsSpill
characteristicsOil spill
trajectory forecast
2 day forecast of spill trajectories
HR-OOM
HR-OSM
2. SYSTEM SETUP
3. VALIDATION
• HR-OOM
• HR-OSM
Calibration/validation of COAWST
Calibration/validation of TESEO
Bottom friction coefficient
Horizontal and vertical turbulence models
Transport module: wind drag, wave and diffusion coefficients
Weathering module: weathering coefficients
3. VALIDATION
• HR-OOM Calibration/validation of COAWSTData:
• Permanent tide gauge operated by PdE located in the entrance of the Bay
• River flow: flow meter operated by CHC (0.5 m3/s (summer camp.); 4.1 m3/s (winter camp.))
• Hydrodynamic campaigns: (1) Summer (17/07/2012 – 06/08/2012); (2) Winter (07/03/2013 – 25/03/2013)
Equipment:• Tide gauges• Micro-pressure sensors• Current profilers• Temperature and salinity sensors
3. VALIDATION
• HR-OOMMETHOD
• To obtain the optimal hydrodynamic model parameters, comparing modeled results with observed values
• Statistical descriptors: root mean square error (RMSE), correlation index (ρ) and the skill index.Winter campaign (2013)
Calibration/validation of COAWST
Sea level Depth integrated current
3. VALIDATION
• HR-OOM Calibration/validation of COAWST
Summer campaign; Equipment: Aquadop (C3). a) Free surface elevation; b) depth average current velocity.
48 hours forecast of hourly:• Sea level• 3D and 2D currents• 3D T and S
4. RESULTS
• HR-OOM
• HR-OSM
48 hours forecast:• Oil spill trajectory (real or hypothetical)• Oil spill weathering
SPRES WEB SERVICE
WEATHERING FORECAST
GOOGLE AND GIS FORMAT
DAILY PREDICTIONS: CURRENTS
To increase wind data resolution
To include waves modeling
To include river flow input
To continue validating the system with measured data.
To increase grid resolution: curvilinear grid
Future work