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Summary of the Day

Summary of the Day. • Need for integrated physical, biological, social science data sets “Incentive structures to encourage inter-d work” “Identification of relations between bio and socio-ec components and climate indicators”

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Summary of the Day

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  1. Summary of the Day • Need for integrated physical, biological, social science data sets “Incentive structures to encourage inter-d work” “Identification of relations between bio and socio-ec components and climate indicators” “To integrate atmospheric/ocean/biological/socio-ec data faces fundamental challenges in data comparability.” • Need for frameworks to allow for data harmonization “If you build a data platform, the data will come” “…lots of time/money to force data into common formats…” • Need for data searching across disparate sources “..no mechanisms in place to inventory what’s out there” “..so many places to get these data…that it is confusing” From Breakout reports, vision talks, Q&A, informal discussions…repeated statements on

  2. Statements (continued) • • Community-model should not = monopoly • “Community-type models (CCSM-style)” • • Downscaling global model data / upscaling process data • “…create iterative process among modelers, providers, idea generators” • • Consider near-real time horizon

  3. Model development and improvement represent the highest levelof integration and synthesis Ocean Physics Sea Ice Physics RASN IARC ice NCAR IOS RASM Improved models, diagnostics and predictions of Arctic system variability AWI NPS NYU UW LLA LLN Slide courtesy A. Proshutinsky

  4. SYNERGY BETWEEN OBSERVATIONS AND MODELED OUTPUTS

  5. PHC OBS Early Tests of Coherence between Models/Obs 1980-1999 Avg B30.030b.ES01 SSS simulation looks reasonable Atlantic inflow generally too saline. Shelf regions generally too fresh. CCSM3; Holland et al.

  6. “ARCTIC SYSTEM FRAMEWORK” • High resolution • Modules to accommodate advances in disciplinary knowledge • Near real time…like NWP (snapshot of current state) • Mid-term (push forecast capability over yrs/decades) • Century-scale (test scenarios and impacts of strategic policy decisions)

  7. Such Frameworks Already Exist and Could Be Capitalized Upon CSDMS-Community Surface Dynamics Modeling System: New NSF National Center @UCBoulder(NSF Cyberinfrastructure Directorate) Module-based software architecture to foster community model development and synthesis studies

  8. PM: • What gaps, challenges, obstacles prevent us from attaining the vision now?…..what new research investments should be made? The How Proposed Charge The What AM: • What ideal framework / data / modeling system could we build as a community w/o constraint?

  9. “ARCTIC SYSTEM FRAMEWORK” Policy, public info demands Science Outputs Products IT Toolbox, Flux Couplers Process Study, Monitoring Data Simulation Modules

  10. -more than IT, archiving, metadata standards, data management alone -process as much as products: identify challenges holding us back, but also success stories & promising new approaches -ways to structure the way we do business to identify and nurture advances not yet identified -advice can we give NSF on investments in data and modeling-rich synthesis? ARCSS Synthesis Workshop: New Perspectives through Data Discovery and Modeling 2-4 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

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