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NSF
00-102 (Replaces NSF
00-12)
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Ocean Information Technology Infrastructure (OITI)
In addition to these groups, a growing number of ocean scientists, including those who analyze large datasets and those who model a wide range of ocean processes, have found their work hampered by a lack of computer power, portability tools, data storage, network connectivity, and tools to remotely access data over a network. The demand for such resources is increasing more rapidly than the present rate of supply of new resources. This translates into a need for new ITI resources across all ocean science disciplines (including physical, biogeochemical, ecological, coastal, climate and geophysical fluid dynamics). The OITI Steering Committee has been charged with identifying (a) the science questions that can only be answered with enhanced ITI resources, and (b) what ITI resources are needed, estimates their cost, and providing advice on how such resources should be organized to provide the greatest community access. The membership of the Steering Committee was chosen to include ocean scientists with multidisciplinary interests and people who are cognizant of the interplay between modeling and observations. The Steering Committee is seeking out the best ideas on needs and methods of implementation from the broad community, including existing NOPP teams, other modeling and analysis groups, and individual scientists, through a user survey described in the accompanying panel. Ocean scientists are encouraged to download the survey from the web site, http://www.geo-prose.com/oiti/, and return it by email to the address listed on the survey page. The members of the OITI Technical Steering Committee are:
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On
behalf of OCE and the National Ocean Partnership Program (NOPP), the
Physical Oceanography Program is very involved with the Office of Naval
Research in a planning effort aimed at assessing the community need
for Ocean Information Technology Infrastructure (OITI) resources. A
call for new Information Technology Infrastructure (ITI) resources was
put forward at community meetings and summarized in set of workshop
reports (Nowlin 1997a,b; Powell, 1998). These workshops identified a
number of computationally intensive scientific questions that would
benefit by being tackled by well-funded, multi-investigator groups (data
assimilation and modeling "nodes") - and supported by enhanced
computational resources (a "hub"). Several such nodes have
been established and are funded through NOPP (see