Day 3 Agenda

1. Brief review of where we are2. Break out reports on recommendations, then

distillation incl. identifying any major gaps3. Proposed outline for report 4. Breakouts: add’l discussion/writing focusing

on recommendations (but on other issues as needed)

5. Recap and conclusions

ARCSS Synthesis Workshop: New Perspectives through Data Discovery

and Modeling2-4 April 2007, Bell Harbor Center, Seattle WA

GOAL: Bring together data provider & data user communities to identify innovative approaches on data management and assimilation, recent developments in technology, and modeling that will advance arctic system synthesis and understanding

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Tuesday Discussions

AM:

• What ideal framework / data / modeling system could we build as a community w/o constraint?

TheWhat

PM:

• What gaps, challenges, obstacles prevent us from attaining the vision now?…..what new research investments should be made?

TheHow

Products

IT Toolbox, Flux Couplers

Process Study, Monitoring Data

Simulation Modules

“ARCTIC SYSTEM FRAMEWORK”

Science Outputs Policy, public info demands

• Will we have identified major commonalities, cross-cutting issues, and general data and modeling-related topics? – Of a scientific nature (e.g. use of intercomparison

exercises, ESM fingerprinting, innovative statistical techniques)

– Of a technical nature (e.g. metadata standards, using open source map serving, exploiting peta-scale computing)

– Of an outreach nature (e.g. expressing complex data to lay public and policymakers)

– Of an administrative nature (e.g. peer-review in age of inter-disciplinary science, virtual collaboratories vs bricks & mortar facilities)

Day 2/3 Breakout Sessions

• Will we have established the basis for a prioritized set of recommendations?

Proposed Outline for Report• Anticipate a 30-page Prospectus• Text strategic in tone, drawn from this and

numerous earlier events• Professional look w/ suitable graphics, nice cover

Executive Summary1. Introduction2. Motivation to think in new ways re data/modeling for

synthesis, improved understanding, education, policy support• major gaps/challenges/research needs• links to ARCSS synthesis• capitalizing on new developments in CI/IT, models, obs.

3. Framework and supporting material• Examples of topics that could benefit from such a frame

(i.e. single/dual/multi-d “pillars”) 4. Specific recommendations

Still substantial work ahead….

• Findings from earlier events plus this workshop distilled,

and incorporated w/ additional text by OC as a draft

document (early-June)

• Document to be reviewed by WS participants and

community at large (mid-June)

• Comments incorporated into final report text (early-July)

• Publication & submission to NSF (August/Sept)

Key Recommendations

• Collaborative platform for science support• Use platform to transform scientific

credibility of data (i.e. citable, trackable) [more of a motivation?]…rec could be to use the framework to transform the publishing and citation system (w/ science publishing consortia) [ work w/ NASA DAACs]

• Collaborative platform for education: partner with Digital Library movement

Key Recommendations

• Create incentives for data submission (not a rec, but key point)…use platform to motivate or promote a culture to submit to an e-journal that values the scholarship of data…use platform to accumulate “critical mass” to mobilize the contribution of data sets

• A face-to-face collaboratory---funding mechanisms for short visits, WSs, etc.

• Small grants (e.g. data buys, travel to Russia)• New data sets for scaling (plots to aerial, to rs) including new

techologies..rec=design activity to co-develop monitoring networks and promote improved technology

• Rapid preliminary analysis (visualization)• These recs keep repeating themselves

Key Recommendations

– A Collaboratory– Data Issues, Standards, policies, etc.– Public outreach nature (e.g. expressing complex

data to lay public)

– Of an educational nature (e.g. new e-curriculum materials for system science from grade school to on to mid-career)

– Of a policy-relevant nature (e.g. a policy challenge)

– Of an administrative nature (e.g. peer-review in age of inter-disciplinary science, virtual collaboratories vs bricks & mortar facilities)