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a range of formats and vocabularies. The development of mechanisms to integrate these data
can be formidable, but the potential benefits are enormous.
Incorporation of biological and chemical data into the IM data management structure. The
problems associated with incorporation of these data are identified above. Appropriate
standards must be identified and agreed upon, and then applied to the appropriate data
bases.
Socio-economic applications: The IM supports this component largely through the development of user-
targeted products, e.g. storm surge forecasting models. Other contributions include:
Workforce training and student training and education both through inclusion in IM
activities and by developing educational tools;
Technology transfer, through the development and optimization of computer software
development and application to IOOS activities;
Contribution to the establishment of a truly operational and reliable IOOS through
development of the necessary IM processes and infrastructure.
Development of an IM system that can include and integrate demographic and economic data.
Additional cross-cutting and overarching activities include:
Establishment of an In-reach (iterative) process that assumes full communication with
the other WGs in SEACOOS;
Identification of the requirements needed to achieve appropriate redundancy in the IM
system, followed by their implementation;
Determination of the appropriate archiving processes, archive locations, and the
infrastructure required, followed by implementation of the resultant plan;
Establishment, in coordination with appropriate partners (e.g. SURA SCOOP) of the
appropriate metadata, data, and protocol standards, followed by their implementation;
Coordination with SECOORA and with other RAs, federal agencies, and relevant national
organizations to ensure cross-fertilization of knowledge gained and sharing of IM products.
Modeling WG Implementation Plan
Phase I
Develop skill assessment. The current implementation of the SEACOOS Nowcast Forecast System
(NFS) is barotropic, with imposed wind stress and tidal elevations. We have focused to date on tidal
and sub-tidal (40 hr) low pass filtered coastal water level skill at selected locations, with extensions to
include spatial assessment of the observations as more data become available. We will also quantify
the spatial and temporal errors in the NCEP EDAS/ETA wind fields used to drive the NFS.
Implementation of strategies for baroclinic modeling and offshore forcing. In addition to properly
imposing the forcings by river discharges and atmospheric heat flux, a primary difficulty