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Slide 1 STO-CMRE/T2 GEOSS AIP-7 12 November 2014 Ocean Observations Web App GEOSS Architecture Implementation Pilot (AIP-7) 12 November 2014 A. Berni, E. Camossi, G. Cimino, S. Falchetti, R. Vicen- Bueno (STO-CMRE) E. Caumont, E. Mathot (Terradue)

Slide 1 STO-CMRE/T2 GEOSS AIP-7 12 November 2014 Ocean Observations Web App GEOSS Architecture Implementation Pilot (AIP-7) 12 November 2014 A. Berni,

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Slide 1STO-CMRE/T2 GEOSS AIP-7 12 November 2014

Ocean Observations Web AppGEOSS Architecture Implementation Pilot (AIP-7)

12 November 2014

A. Berni, E. Camossi, G. Cimino, S. Falchetti, R. Vicen-Bueno (STO-CMRE)E. Caumont, E. Mathot (Terradue)

Slide 3STO-CMRE/T2 GEOSS AIP-7 12 November 2014

• Integrated Maritime Environmental Knowledge and Operational Effectiveness− Robotic Characterisation− Tactical Prediction− Decision Making

CMRE’s Scientific Programme and GEOSS

Slide 4STO-CMRE/T2 GEOSS AIP-7 12 November 2014

• Engagement with the GEOSS community – Best practice on building a standard based, open source and open data

processing chain, addressing Climate Change and Weather societal benefits

– A proof of concept for the porting of a complex and widely used forecasting model to a Cloud Computing environment, i.e. the Regional Observation Modeling System which can now be invoked via OGC WPS for compute-intensive tasks

– The modeling outputs are derived by applying this service against existing GEO contributions, e.g. the MFS model available through MyOcean system

– Model outputs will deliver key parameters such as currents, salinity and temperature, as a relevant set of resources for many different communities involved in the marine/maritime field (e.g. fisheries management, environmental protection)

CMRE Response to AIP-7 CFP

Slide 5STO-CMRE/T2 GEOSS AIP-7 12 November 2014

“ROMS: Regional Ocean Model System”

Master model: Mediterranean Forecasting System from MyOcean (6km of resolution)

Now available as WPS service, suitable for operational and ensemble execution

Slide 7STO-CMRE/T2 GEOSS AIP-7 12 November 2014

CMRE’s Hybrid Cloud provisioning approach during GEOSS AIP-7

RegionalOcean

ModelingSystem

CMRE Data Servicesfor

EssentialOcean

Variables

Slide 8STO-CMRE/T2 GEOSS AIP-7 12 November 2014

Metadata extraction Python scripts

Real-time metadata generation

GitCode repository

Model output repository (and

other data sources)

Geo Network

CKAN

Web based Scheduler(Jenkins)

The scheduler checks out the correct scripts version for each experiment

CSW

NetCDF

HTTP

Slide 9STO-CMRE/T2 GEOSS AIP-7 12 November 2014

STO-CMRE Data catalogueGeospatial filtering (Bounding box)

Fuzzy search

Facets

Datasets matching the search

Slide 10STO-CMRE/T2 GEOSS AIP-7 12 November 2014

Engagement with GEOSS Community

• User / Contributor / Service provider• Characterizing, measuring, exploiting underwater environments• Uncertainty and variability in performance prediction• Development of decision aids informed by knowledge of the

Physical and Economic Environments• Fielding and persistence of autonomous platforms at sea• Distributed decision making (human/machine)• Modeling and Simulation as a service• Machine learning, perception, and complex adaptive behaviors• Underwater detection, classification, localization, and tracking• Gold-standard data acquisition, curation, and standards-based

processing, sharing

Slide 11STO-CMRE/T2 GEOSS AIP-7 12 November 2014

• Alessandro Berni– [email protected]– http://www.cmre.nato.int– http://datacatalog.cmre.nato.int

• Herve Caumont– [email protected]– www.terradue.com

Contacts