GRAND GOOS Regional Alliance Network Development WP2 Empowerment

1
GRANDGOOS Regional Alliance Network Development
WP2 - Empowerment

• Silvana Vallerga, CNR, Italy

2
rationale of GRAND

• European specific support action to the MAMA
  project to contribute to
• the global component of GMES - Global Monitoring
  for Environment and Security
• to the European contribution to the global
  observing systems

3
rationale of WP2 empowerment

• Present GRAs managers with 21st century
  technologies
• Define together with the GRAs a sustained
  training scheme
• Develop a demonstrator on What-if? Prediction

4
objectives

• Empower GRAs to participate in with local
  expertise, and benefit from GOOS and GMES
• Build a strong inter-regional network of local
  experts
• Set the basis for a long-term training scheme for
  GOOS Advanced Schools

5
structure of workshops

• Each workshop will last 5 working days
• Half a day devoted to the preparation and
  discussion of the GOOS Regional Strategy
• The first workshop will be held in UK
  (Southampton or Imperial College)
• The second one in Italy at CNR, Genoa

6
issues

• High level training workshops for GRAs managers
  on
• Modern technologies for GOOS and GMES
• Cost-effective methods for ocean observation and
  forecasting, such as RAMP
• GOOS possible training schemes (short course,
  distance learning, on-the-job training)

7
issues

• Pilot application of new technologies to GOOS
  regions (MAMA-What if? Prediction)
• Possible funding scheme for pilot initiative
• Virtual Ecology Workbench (VEW), software tool as
  a demonstrator for What if? Prediction
• Other issues that will emerge in the discussion
  with GRAs and the Advisory Board

8
demonstator

• A specific tool for What-if? Prediction, the
  Virtual Ecology Workbench - VEW prepared in
  the 1st year.
• The b test will be done for 3 months
• The VEW will be presented at the 2nd workshop

9
result

• an integrated team of experts on 21st century
  technology working together, at regional and
  global level, for the implementation of GOOS