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Operational Monitoring and Forecasting in the Aegean Sea

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Operational Monitoring and Forecasting in the Aegean Sea. Kostas Nittis. National Centre ... Evaporation (Stiver et al. 1989) Emulsification (Rasmussen 1985) ... – PowerPoint PPT presentation

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Title: Operational Monitoring and Forecasting in the Aegean Sea


1
  • Operational Monitoring and Forecasting in the
    Aegean Sea
  • Kostas Nittis
  • National Centre for Marine Research, Athens,
    Greece
  • Review of existing monitoring and forecasting
    systems
  • Present capabilities
  • Problems - Limitations
  • Perspectives

2
Overview
3
Research efforts on O.O.
  • POSEIDON Project (1997-2000, 14.1 Meuro
    EFTAHMNE)
  • Integrated monitoring and forecasting system
    real-time data from buoy network, daily
    forecasts, end-user products
  • Partners NCMR, ?CEANOR, UoA, UoT, NTUA
  • Operational since May 2000
  • MFS (1998-2001, 2002-2004) Development of
    multiparametric M3A station, VOS Measurements,
    High resolution regional and coastal models
  • MARSAIS (2001-2003) Synergy between SAR and buoy
    data, Validation of Algorithms, Detection and
    forecasting of oil-spills
  • FerryBox (2002-2005) Implementation of a
    European network for FerryBox measurements,
    Operational phase 2002-2003
  • MAMA (2002-2004) Coordination on Mediterranean
    Scale, Capacity building, MERSEA (2002-2003)
    Towards GMES (2008)

4
The POSEIDON buoy network
  • SeaWatch Buoys
  • Meteorological Sensors
  • Air Temperature
  • Atm. Pressure
  • Wind Speed/Direction
  • Blue Sensors
  • Temperature
  • Salinity
  • Current
  • Waves
  • Green Sensors
  • Dissolved Oxygen
  • Chlorophyll-A
  • Light Attenuation
  • Radioactivity
  • Height 7.9 m
  • Width 1.75 m
  • Weight 900 kgr
  • Energy Solar panels batteries
  • Communication Imarsat C, GSM every 3 hours

5
End-user products
www.poseidon.ncmr.gr
  • POSEIDON Products
  • On-line data (meteo, blue and green)
  • Processed Data (statistics etc.)
  • Meteorological Forecasts
  • Sea-State Forecasts (waves)
  • Hydrodynamic model Forecasts (currents, T,S)
  • Dispersion of Pollutants (oil-spills)
  • Near-shore wave conditions

6
Surface circulation characteristics
Nittis et al., GAOS 2002
7
High frequency variability
Nittis et al., MPB 2001
8
Tracing of Water Masses
Nittis et al., GAOS 2002
9
Spring bloom monitoring
10
The ?3? System
11
M3A Measurements
12
M3A Measurements
13
Limiting factors Bio-fouling
14
Ferry Box Systems
15
Operational Models POSEIDON (1st generation)
  • Based on DAUT model (2d generation)
  • Resolution 5km
  • Buoy data assimilation
  • Products Height, Direction and Period fields
  • Based on POM
  • Resolution 5km, 31lev
  • Rivers and Dardanelles outflow simulation
  • Products 3-D Velocity, Temperature and Salinity
    fields
  • Based on ETA LAM
  • Resolution 20/10 km
  • Products Wind, Air temperature, Relative
    Humidity, Precipitation, Cloud cover, Atm.
    Pressure, Fog,

16
New generation Wave Model (WAM)
  • Mediterranean Wave Model
  • Based on WAM
  • Resolution 0.25 o
  • Forced by the coarse (20km) atmospheric model
  • Aegean Wave Model
  • Nested to Mediterranean model
  • Resolution 0.05 o
  • Forced by the fine (10km) atmospheric model

17
New Generation HD Model
  • Eastern Mediterranean Model
  • Based on POM
  • Resolution 10 km
  • Vertical Res. 19 sigma levels
  • Forced by the coarse (20km) atmospheric model
  • Dardanelle's (open boundary) / Rivers
    Parameterisation
  • Initial boundary values MODB
  • 12 years climatology, 95-99 ECMWF analysis,
    operational 1999-now
  • Interactive estimation of fluxes (heat-water)
  • Aegean Sea Model
  • Nested to EMED model
  • Resolution 5 km
  • Vertical Res. 31 s-levels
  • Forced by the fine (10km) atmospheric model
  • Boundary values updated every 1h (T, S, U, V, W,
    Z free radiation)

18
Forecasting Skill Evaluation a) Buoy data
M 24 hours forecasts O Buoy observations
Atmospheric Model Statistics
Model Against Buoy data
19
Forecasting Skill Evaluation b) XBT data
20
Forecasting Skill Eval. c) mesoscale features
Forecasted Sea Level Elevation during Summer 2000
AVHRR SST
SST 1 October 2000 24h forecast
21
POSEIDON Operational Oil-spill Model
  • Based on PARCEL model (Koutitas 1988, Johansen
    1985)
  • Processes
  • Evaporation (Stiver et al. 1989)
  • Emulsification (Rasmussen 1985)
  • Beaching and sedimentation (Gundlach 1987)
  • Advection diffusion
  • 3-D current field
  • Horizontal and vertical mixing coefficients from
    hydrodynamic model (Smagorinsky, Mellor-Yamada)
  • Wave field
  • Additional data
  • Date and the position of the event
  • Initial volume of the pollutant
  • Density of the different elements
  • Evacuation time
  • (Density of evaporation and emulsification,
    retention time)
  • Products

Pollani et al., MPB 2000
22
Synergy with SAR data oil slicks detection
  • Synthetic Aperture Radar
  • ERS1/2, RADARSAT, ENVISAT
  • 0,056 µm, 5,3 GHz
  • Repeat cycle 35 days
  • Resolution 30m
  • Swath width 100 km (400km Envisat)

23
Towards forecasting in Coastal Areas
  • Saronikos Gulf Model
  • Resolution 1.8 km
  • Vertical Res. 16 s-levels
  • Forced by the fine (10km) atmospheric model
  • Nested to Aegean 5km model Initial boundary
    conditions
  • Boundary values updated every 1h (T, S, U, V, W,
    Z free radiation)

24
Next steps ?
  • Extend the current observing capacity
  • Deeper layers (0-500 / 0-1000m)
  • New platforms (eg HF radars)
  • Operational RS products
  • Continue / Intensify efforts in coastal areas
  • Coordinate efforts with pan-european monitoring
    and forecasting efforts Towards GMES
  • (GMES Forum, EuroGOOS conference 3-6 December,
    Athens)
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