CHESAPEAKE RESEARCH CONSORTIUM Tom Gross (Chesapeake Community Modeling Progra JOHNS HOPKINS UNIVERSITY Bill Ball (Dept. of Geography & Environmental Engineering) Randal Burns (Dept. of Computer Science) UNIVERSITY of DELAWARE Dom DiToro (Dept. of Civil & Environmental Engineering) UNIVERSITY of MARYLAND Mike Kemp (Center for Environmental Science) DREXEL UNIVERSITY Mike Piasecki (Dept. of Civil & Architectural Engineering) SAN DIEGO SUPERCOMPUTER CENTER Ilya Zaslavsky Conceptual Design of a Chesapeake Bay Environmental Observatory (CBEO) A Collaborative Planning Project funded by the NATIONAL SCIENCE FOUNDATION
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C HESAPEAKE R ESEARCH C ONSORTIUM Tom Gross (Chesapeake Community Modeling Program)
Conceptual Design of a Chesapeake Bay Environmental Observatory (CBEO) A Collaborative Planning Project funded by the NATIONAL SCIENCE FOUNDATION. C HESAPEAKE R ESEARCH C ONSORTIUM Tom Gross (Chesapeake Community Modeling Program) J OHNS H OPKINS U NIVERSITY - PowerPoint PPT Presentation
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CHESAPEAKE RESEARCH CONSORTIUMTom Gross (Chesapeake Community Modeling Program)
JOHNS HOPKINS UNIVERSITYBill Ball (Dept. of Geography & Environmental Engineering)Randal Burns (Dept. of Computer Science)
UNIVERSITY of DELAWAREDom DiToro (Dept. of Civil & Environmental Engineering)
UNIVERSITY of MARYLANDMike Kemp (Center for Environmental Science)
DREXEL UNIVERSITY Mike Piasecki (Dept. of Civil & Architectural Engineering)
SAN DIEGO SUPERCOMPUTER CENTER Ilya Zaslavsky
Conceptual Design of aChesapeake Bay Environmental
Observatory (CBEO)
A Collaborative Planning Project funded by the
NATIONAL SCIENCE FOUNDATION
Motivation for a PrototypicalChesapeake Bay Environmental Observatory
1. Management Needs are Linked with ScienceWater quality impairment and loss of living resources
2. Wealth of Data, Models and Research Archived data; on-going data streams; history of model runs
3. Important Unresolved Questions Complex questions of broad national interest (e.g., hypoxia)
4. Clear Need for Better CyberinfrastructureDisparity among data & lack of inter-operability stymies progress
5. Excellent Test Bed for EO Integrationother EONs; research & education programs; outreach
Hypoxia
• An Excellent Problem for EO and Cyberinfrastructure
• Fundamentally linked to other concerns:-- Affected by land use, water quality, hydrodynamics, biota;-- Affects chemical cycling and living resources
• Well-studied issue, but with complex unresolved questions:-- Non-linear O2 responses to management & climate-- Missing source of organic matter to fuel hypoxia
• A Prototypical Science Issue
• Relevant to environmental management in many aquatic systems;• Long history of policy and management focused on D.O.
courtesy of Ilya Zaslavsky (San Diego Supercomputer Center)
CBEO:N GeonGRID Software Layers
•Extensive data collectionExtensive data collection --Fixed station monitoring @ 2-4 wk--Fixed station monitoring @ 2-4 wk --Research data at finer spatial scales--Research data at finer spatial scales
•CBP monitoring @ ~50 stations inCBP monitoring @ ~50 stations in mainstem Bay plus many more in tribsmainstem Bay plus many more in tribs
•Vertical profiles in deep & shallow waterVertical profiles in deep & shallow water
•CBP monitoring initiated in 1985 CBP monitoring initiated in 1985 through present with few changes through present with few changes
•CBP monitoring data available on webCBP monitoring data available on web
•Monitoring focuses on deep channels,Monitoring focuses on deep channels, & extensive shallows under-sampled& extensive shallows under-sampled
Chesapeake Bay Monitoring Program
2. Wealth of Data, Models and Programs (cont’d)
Dissolved oxygen
and
Chlorophyll-a
Derived from transects taken using a vertically
undulating sensor system (Scanfish)
(Kemp, 2005)
2. Wealth of Data, Models and Programs (cont’d)
• Serve as a node in a larger EON grid structureto demonstrate the ability of CI to facilitate shared use of data, data streams, model, and tools;
• Develop and demonstrate new tools and approachesfor linking research with education and public policy.
• Be a test-bed for the development, demonstration, and dissemination of new cyberinfrastructure tools;
• Transform science and engineering research by providing nationwide access to and interoperability amongdata sets, model results, model applications, analytical tools and data streams (existing and future) in the nation’s largest estuary.