Conceptual Design of a Chesapeake Bay Environmental Observatory (CBEO)

A new project is underway to develop and deploy a Chesapeake Bay Environmental Observatory (CBEO), which is intended to serve as a prototype of cyberinfrastructure (CI) for environmental observatory networks (EONs) that will demonstrate the transformative power of CI. The CBEO will be developed by a team of highly qualified computer scientists, ecologists, oceanographers and environmental engineers with a track record of working together on environmental observatory projects and complex cross-discipline research efforts. The project approach has been organized around the following four concurrent interacting elements, which follow the acronym "NETS": (1) The CBEO:N group will incorporate the test bed CI into the national EONs by constructing a GEON-based node for the CBEO. This will entail resolving complex cross-disciplinary issues of semantics, syntax and inter- operability as well as developing new shared CI tools for data assimilation and interpolation. (2) CBEO:E is the education element and will use the CBEO to translate observational science for public consumption. Direct participation of multicultural students and a K-12 teacher are planned. The test-bed and network components (described below and above) will provide the focus of five workshops for users, managers and science educators; (3) Prior to full integration via CBEO:N, CBEO:T will rapidly construct a locally accessible CBEO test-bed prototype that will integrate a subset of currently available large data sets characterized by multiple variables and widely disparate time and space scales ? grab and continuous sampling at fixed stations, undulating towed sensors, and satellite and aircraft remote sensing. A novel feature will be the inclusion of the fifteen year (1986-2000) simulated data from the Bay-wide fine spatial (1-10 km) and temporal (0.02-1 hr) scale hydrodynamic and water quality model. CBEO:T will serve initially as the development platform for data integration, interpolation, and visualization. (4) The driving force and context for the effort will be provided by the environmental science element, CBEO:S. CBEO:S will use CBEO:T and CBEO:N to address unresolved questions of anthropogenic and climatic factors controlling hypoxia in Chesapeake Bay, a problem shared with many other estuaries and whose consequences are severe and long lasting. The CBEO:S and CBEO:E teams will test the CBEO capabilities, suggest modifications, and provide timely user feedback. Overall, the project intends to demonstrate the power of blending CI and domain science to produce new and exciting scientific insights and engineering tools. The CI will produce a joining of disparate and incommensurable Chesapeake Bay data sets, while also providing shared CI developments to serve a multi- disciplinary research community through an observation node that is a member of all EONs currently under development.