marine and maritime knowledge · 2018. 6. 1. · Governance assemble the sea‐basin priorities to draw up a set of overall priorities for further action Secretariat 1. prepare meetings,

marine and maritime knowledge

Iain ShepherdEuropean Commission (DG‐MARE)

• marine knowledge– physics chemistry biology geology bathymetry etc– physics, chemistry, biology, geology, bathymetry etc.

• maritime knowledge– employment, education, health, etc.

marine observation

• more than €1 billion public money in Europe spent p y p pannually on collecting marine data– satellites research vessels ferry boxes moored buoys– satellites, research vessels, ferry boxes, moored buoys, gliders , underwater vehicles etc 

But not fully used

• Discovery of Data. – Especially difficult outside your own community

d• Access to data. – Confidentiality – Desire of owners to exploit added‐value themselvesp

• Use of data.– Often restricted to “research” 

• Cost of data• Cost of data. – Landsat fiasco

• Coherence of Data. – Especially cross‐disciplinary and cross‐border

• Quality of Data. – Data unaccompanied by precision estimates is useless– Data unaccompanied by precision estimates is useless

• Quantity of Data. – Are we undersampling?

objectives of marine knowledge activity

• to reduce operational costsi t i d t– private industry 

– public decision‐making 

– marine scientific research

• to increase competition• to increase competition

• to reduce uncertainty

pilot projects

Parameter collection assembling ApplicationParameter collection assembling Application

bathymetry ur‐EMODNET WISE  marine

geology ur‐EMODNET

physics GMES (space) GMES (except near coast)  GMES

fisheries (including fisheries economy)

Data Collection Regulation JRC ICES

Chemistry ur EMODNET WISE MarineChemistry ur‐EMODNET WISE‐Marine

biology ur‐EMODNET WISE Marine

human activity (other than fisheries)

WISE Marine

coastal and maritime economy (except fisheries)

Eurostat

Tentative Architecture

Observation Infrastructure

1. Evaluation once ur‐EMODNET results become available

Accredited 1 the secure long term curation of key marine data setsAccredited data centres

1. the secure, long term, curation of key marine data sets 

2. make available clear, searchable information on their data holdings. 

European  1. access to all raw observations held at data centres within that discipline Disciplinary Groups

2. data layers indicating density of observation, quality of data, 

3. seamless (gridded or polygon) data layers over whole sea basins. 

S B i 1 h k th d t lSea‐Basin Checkpoints

1. check these data layers,

2. ensure that the data from each disciplinary group are mutually compatible 

3. define priorities for further observations based on interaction with local 

Governance assemble the sea‐basin priorities to draw up a set of overall priorities for further action

Secretariat 1. prepare meetings,

2. manage contracts with the disciplinary groups and sea‐basin checkpointscheckpoints, 

3. ensure deadlines are met 

4. prepare an annual report of activity to the Commission.

Next steps

November 2009 Impact Assessment Board

March 2010  Commission Communication

Maritime Knowledge

• NUTS 3 regions eitherg– with coastline

– With 50% of population less than 50 km from coast

aggregation type regions 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

B lti S ll 69 10 7 10 8 11 3 11 8 11 9 11 9 13 4 10 7 7 4 6 8Baltic Sea all 69 10.7 10.8 11.3 11.8 11.9 11.9 13.4 10.7 7.4 6.8

Black Sea all 5 8.2 10.3 10.0 14.8 14.5 14.6 9.7 8.3 9.2 7.3

Mediterranean Sea

all 143 15.3 13.8 12.2 12.1 11.6 10.8 9.8 9.0 8.3 9.8

NE Atlantic Ocean

all 118 8.6 7.7 6.5 6.8 6.8 7.0 7.0 7.0 7.0 7.0

N th S ll 107 5 9 5 3 4 7 5 0 5 5 5 8 6 0 6 0 5 3 5 2North Sea all 107 5.9 5.3 4.7 5.0 5.5 5.8 6.0 6.0 5.3 5.2

EU all 1297 9.8 9.3 8.6 9.1 9.1 9.3 9.2 8.5 7.4 7.1

coastal 372 11.4 10.4 9.4 9.7 9.6 9.3 8.8 8.2 7.5 8.0

i l d 852 9 1 8 9 8 4 9 1 9 2 9 6 9 7 8 8 7 4 6 7inland 852 9.1 8.9 8.4 9.1 9.2 9.6 9.7 8.8 7.4 6.7

maritime 73 5.9 5.3 4.8 5.1 5.6 5.8 6.7 6.4 6.0 5.6

Östergötlands län

• Linköping – population 140,000– 40km from sea – not maritime at all

Somerset

• Taunton– population 61,000

– 22km from sea22km from sea

– Maritime?

Gard

• Nîmes – population 150,000population 150,000

– 40km from sea

Nantes

• Nantes – population 800,000p p ,– 50km from sea– Not “coastal” but “maritime”

Bremen

• population 2.37 millionpopu at o 3 o• 60km from sea• not coastal but maritime

Need finer data

• Present statistics do not capture special characteristics of coastal or• Present statistics do not capture special characteristics of coastal or maritime regions– unemployment– number on benefits– age distribution– health– educational attainment– household income

Now it’s your turn