1. Operational Planning for Project Implementation WP4: Operational Modeling
Nikos A. Kampanis & Katerina Spanoudaki
Coastal Research Laboratory
Institute of Applied and Computational Mathematics
Foundation for Research and Technology – Hellas
ODYSSEA Kick-off Meeting
June 6-8, 2017
Kavala, Greece
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No

2. WP4: Operational Modelling
Start Month: 10, End Month: 54
Participants
#1 DUTH: Monitoring and modelling; Setting up & operating Greek observatory
#2 FORTH: Lead beneficiary; Hydrodynamic & oil dispersion modelling, marine litter monitoring & modelling
#4 VPORTS: Operating Spanish observatory
#5 Sapienza: Operating Italian observatory
#9 Deltares: Modelling, operational forecasting improvement algorithms
#12 AGIR: Operating Moroccan observatory
#13 NSV: Operating Algerian observatory
#14 ANDDCVS: Operating Tunisian observatory
#15 RAED: Operating Egyptian observatory
#16 IU: Operating Turkish observatory, Ecosystem component
#17 HCMR: Eco-system component (analysis of data from commercial fisheries and fishery surveys)
#18 Hidromod: Operating ODYSSEA platform and observatories
#19 UNIBO: Bio-geochemical and eco-system modelling
#21 GTD: Data transfer, modelling module operation & maintenance
#22 EcoOcean: Operating Israeli observatory
#24 AUTH: Eco-system modelling
#25 CLS: Data transfer in each Observatory
#27 Edisoft: Data transfer in each Observatory

3. WP4 Objectives
Overall aim of ODYSSEA: to develop an interoperable platform that integrates networks of observing and forecasting systems across the Mediterranean basin.
A new cost-effective system allowing efficient data analysis
Integration of physical, chemical and biological information
Network of observatories with monitoring & modelling teams
Support of environmental management, planning & protection activities
Improved monitoring systems to obtain real-time data from the sea
Overall objective of WP4: implementation of a ‘chain’ of high resolution models (meteorological, hydrodynamic, wave, oil dispersion, biogeochemical, ecosystem, marine litter & microplastics, etc.) for each Observatory.

4. Specific Objectives WP4 output ODYSSEA specific objectives
Results from the fine resolution ‘chain’ of models applied at Model Observatories (D4.4)
Results from oil spill dispersion models, harmful algal bloom forecasting algorithms, mussel growth models, etc. (D4.4)
Results from ecosystem models, plastic debris distribution models, etc. (D4.3, D4.4)
ODYSSEA specific objectives
To consolidate and increase the temporal and geographic coverage of observational data.
To extend and improve prediction capacity of existing modelling systems, directly serving end users’ needs
To expand existing monitoring systems towards new variables (biological dimension, microplastics)

5. ODYSSEA operational modelling module
Regional observatories set-up around the Mediterranean Sea for modelling and monitoring the marine environment.
The observatories will serve as ‘prototypes’ easily replicated in other parts of the Mediterranean Sea or even in other sea basins.
Observatories will support implementation of EU maritime policies, provide better ecosystem assessments, forecasts.
The Modelling Module
Models, existing databases, and remote sensing data will be coupled to provide short- and long-term prognostic results.
Integration and harmonisation of already existing model results (e.g. NOAA GEFS meteo model, myOcean CMEMS platform).
Integration of new high-resolution models for observatory sites.
ODYSSEA System Components

6. Modelling Strategy
High-resolution operational models to resolve meso-scale processes of the coastal and offshore environment
Downscaling from open ocean to regional and coastal scale
Different models or data sources for each Observatory (ensure maximum reliability)
‘Chain’ of high-resolution operational models will be coupled to existing data platforms (e.g. NOAA, Copernicus Marine Environment Service) to receive initial & boundary conditions
Existing regional-coastal operational forecasting systems will be utilized, where available (e.g. Adriatic Forecasting System, Aegean-Levantine Forecasting System) 6

7. ODYSSEA Operational Modelling Module
Modelling Strategy
Modelling components:
Meteorological component: to provide high- resolution accurate weather forecasts of meteorological parameters (e.g. wind speed & direction, T, relative humidity, etc.)
Hydrodynamic component: e.g. POM, Delft3D, NEMO, etc. coupled to weather prediction models
Wave component: e.g. WAM, SWAN, WWIII coupled to weather and hydrodynamic models.
Biogeochemical/Water quality component: e.g. DELWAQ, BFM, etc. used to simulate aspects of water quality and ecology
Oil spill fate & transport component: e.g. MEDSLIK- III, information on surface oil & coastal impact
Plastic debris component: distribution of marine debris
Ecosystem component: ECOPATH with ECOSIM, food web structure, composition and function
Mussel culture population growth models
ODYSSEA Operational Modelling Module 7

8. ODYSSEA Operational Modelling Module
Modelling Strategy
Mapping of existing regional-coastal operational forecasting systems/modelling systems
Models used, advantages/disadvantages, output, variables/parameters simulated, initial & boundary conditions
Model output fits to the needs of end users?
Share & build on existing initiatives ?
Increase temporal and geographic coverage/spatial resolution ?
Forcing, initial/boundary conditions ?
Expand towards new variables to conform with EU policy & regulations and to directly serve end users’ needs
Observatories with no existing forecasting/modelling systems in place
ODYSSEA Operational Modelling Module

9. Connection with other WPs
WP13: Marine data availability & integration
Task 13.1: Mapping of existing platforms, models and tools
Task 13.3: Data gaps analysis
Task 13.4: Strategies for filling in data gaps
WP4
Models (to be) applied; linking with existing data platforms & remote sensing data; testing & calibration for the Observatory sites
Modelling (and monitoring) modules built on strategy to fill in gaps to meet end-users specific needs and EU policy requirements
WP2: Setting-up ODYSSEA Observatories
Task 2.1: Set up the geospatial and temporal dimensions of ODYSSEA Observatories
Task 2.2: Stakeholders and End- users’ needs specification
Task 2.4: Prototype Models Chain Development
Task 2.5: Monitoring and Modelling data management
WP4
Definition of geospatial & temporal dimension and resolution of the modelling module
Definition of operational ‘chain’ of models for each observatory
Set-up of Internal data flows to provide initial and boundary conditions for the models

10. Connection with other WPs
WP3: Designing the ODYSSEA Platform
Task 3.3: ODYSSEA architecture guidelines
Task 3.4: Data governance approaches & Data Management Plan for collected data
WP4
Task 4.1: Experimental operation of models in each Observatory
Task 4.4: Operational demonstration trial and validation
WP4
Models validation in each observatory
WP5: In-situ Monitoring 10

11. Connection with other WPs

12. Preparatory Actions
Mapping of existing regional-coastal operational forecasting systems/modelling systems (per Observatory area)
Models used, advantages/disadvantages, output, variables/parameters simulated, forcing, initial & boundary conditions
Share & build on existing systems ?
Models available/partners expertise/advantages-disadvantages: definition of modelling ‘chain’

13. Preparatory Actions Action Matrix WP2/WP4 Thracian Sea Gulf of Gökova
Valencia coastline
North Adriatic Sea
Arzew Bay/Stora Gulf
Gulf of Gabes
Al-Hoceima
Nile zone
Responsible partner
Meteorological Component
WRF
DUTH
Hydrodynamic Component
Delft-3D
DELTARES
Water Quality/
Biogeochemical Component
BFM
UNIBO
Ecosystem Component
AUTH
Oil spill fate and transport
MEDSLIK
FORTH
Marine Litter
Mussel growth population

14. WP4 Tasks WP4 Partners Task 4.1 M10-M18
Experimental operation of models in each Observatory:
set up and operate the ‘chain’ of models defined in Task 2.4, in each Observatory
Methods and tools developed in WP2 for models’ coupling and the use of existing databases, remote sensing data as well as internal data flows for initial and boundary conditions will be applied and tested
Problems related to models operation will be reported and solved
Based on the outcomes of WP1, datasets/observations to be used for model calibration and validation tests at the Observatories will be identified
DUTH, FORTH, AUTH, HCMR, Hidromod, Sapienza, IU, VPORTS, UNIBO, EcoO, AGIR, NSV, ANDDCSV, RAED
Task 4.2
M18 – M30
Models testing and calibration in each Observatory
All testing and calibration activities in each Observatory
Ad-hoc calibration/validation protocols and metrics will be defined
Models performance will be evaluated in hindcast mode, using available historical observations
Results of models testing and calibration for each Observatory will be reported
AUTH, FORTH, DUTH, HCMR, Sapienza, IU, Hidromod, VPORTS, UNIBO, EcoO, AGIR, NSV, ANDDCSV, RAED

15. WP4 Tasks WP4 Partners Task 4.3 M31 – M36
Models validation in each Observatory
Both available datasets and in-situ data collected in the framework of the project will be used for models validation activities
Validation metrics and protocols defined in Task 4.2 will be used
Results of this task will be fundamental for the potential of the models to provide reliable forecast simulation results
FORTH, DUTH, AUTH, HCMR, Hidromod, Sapienza, IU, UNIBO
Task 4.4
M36 – M42
Operational demonstration trial and validation
The chain of models will be run in operational form, applying also data assimilation methods and tools developed in WP8
FORTH, DUTH, AUTH, HCMR, Hidromod, Sapienza, IU, Deltares, UNIBO
Task 4.5
M40 – M48
Data transfer testing in each Observatory
Test the uploading of models output to the ODYSSEA platform.
Procedures for data transfer developed in WP2 (Task 2.4) will be tested and possible errors will be reported and solved.
Edisoft, FORTH, CLS 15

16. WP4 Tasks WP4 Partners Task 4.6 M10 – M54
ODYSSEA platform modelling module operation and maintenance
Operational problems related to the functioning of the modelling module of the platform will be reported and solved through a dedicated maintenance and service team
GTD, FORTH, DUTH, Hidromod, UNIBO, Edisoft 16 16

17. WP4 Deliverables Delivarables Name Partners D 4.1
Technical report on the experimental operation of models in each Observatory (M18)
DUTH, FORTH, AUTH, HCMR, Hidromod, Sapienza, IU, VPORTS, UNIBO, EcoO, AGIR, NSV, ANDDCSV, RAED
D 4.2
Report of models validation results in each Observatory (M36)
AUTH, FORTH, DUTH, HCMR, Sapienza, IU, Hidromod, VPORTS, UNIBO, EcoO, AGIR, NSV, ANDDCSV, RAED
D 4.3
Report on operational demonstration trial and validation of models in each Observatory (M42)
FORTH, DUTH, AUTH, HCMR, Hidromod, Sapienza, IU, UNIBO
D 4.4
Report of the procedures for ODYSSEA platform modelling module operation and maintenance (M54)
FORTH, DUTH, AUTH, HCMR, Hidromod, Sapienza, IU, Deltares, UNIBO
D 4.5
Report on data harmonization (M47)
Edisoft, FORTH, CLS

18. THANK YOU !!!