HR: 16:15h
AN: IN54A-02 [Abstracts]
TI: The Arctic Observing Network (AON)Cooperative Arctic Data and Information Service (CADIS)
AU: * Moore, J
EM: jmoore@ucar.edu
AF: Earth Observing Laboratory
National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307-3000, United States
AU: Fetterer, F
EM: fetterer@nsidc.org
AF: National Snow and Ice Data Center, 3100 Marine Street, Boulder, CO 80309, United States
AU: Middleton, D
EM: don@ucar.edu
AF: Computational and Information System Laboratory
National Center for Atmospheric Research, P.O Box 3000, Boulder, CO 80307-3000, United States
AU: Ramamurthy, M
EM: mohan@ucar.edu
AF: Unidata Program
UCAR Office of Programs, P.O. Box 3000, Boulder, CO 80307-3000, United States
AU: Barry, R
EM: rbarry@nsidc.org
AF: National Snow and Ice Data Center, 3100 Marine Street, Boulder, CO 80309, United States
AB:
The Arctic Observing Network (AON) is intended to be a federation of 34 land, atmosphere and ocean observation
sites, some already operating and some newly funded by the U.S. National Science Foundation. This
International Polar Year (IPY) initiative will acquire a major portion of the data coming from the interagency Study
of Environmental Arctic Change (SEARCH). AON will succeed in supporting the science envisioned by its
planners only if it functions as a system and not as a collection of independent observation programs.
Development and implementation of a comprehensive data management strategy will key a key to the success of
this effort. AON planners envision an ideal data management system that includes a portal through which
scientists can submit metadata and datasets at a single location; search the complete archive and find all data
relevant to a location or process; all data have browse imagery and complete documentation; time series or fields
can be plotted on line, and all data are in a relational database so that multiple data sets and sources can be
queried and retrieved.
The Cooperative Arctic Data and Information Service (CADIS) will provide near-real-time data delivery, a long-term
repository for data, a portal for data discovery, and tools to manipulate data by building on existing tools like the
Unidata Integrated Data Viewer (IDV). Our approach to the data integration challenge is to start by asking
investigators to provide metadata via a general purpose user interface. An entry tool assists PIs in writing
metadata and submitting data. Data can be submitted to the archive in NetCDF with Climate and Forecast
conventions or in one of several other standard formats where possible.
CADIS is a joint effort of the University Corporation for Atmospheric Research (UCAR), the National Snow and Ice
Data Center (NSIDC), and the National Center for Atmospheric Research (NCAR). In the first year, we are
concentrating on establishing metadata protocols that are compatible with international standards, and on
demonstrating data submission, search and visualization tools with a subset of AON data. These capabilities
will be expanded in years 2 and 3. By working with AON investigators and by using evolving conventions for in situ
data formats as they mature, we hope to bring CADIS to the full level of data integration imagined by AON
planners.
The CADIS development will be described in terms of challenges, implementation strategies and progress to
date. The developers are making a conscious effort to integrate this system and its data holdings with the
complementary efforts in the SEARCH and IPY programs. The interdisciplinary content of the data, the variations
in format and documentation, as well as its geographic coverage across the Arctic Basin all impact the form and
effectiveness of the CADIS system architecture. The clever solutions to the complexity of implementing a
comprehensive data management strategy implied in this diversity will be a focus of the presentation.
UR: http://www.eol.ucar.edu/projects/aon-cadis/
DE: 1621 Cryospheric change (0776)
DE: 1699 General or miscellaneous
DE: 4299 General or miscellaneous
DE: 9315 Arctic region (0718, 4207)
DE: 9820 Techniques applicable in three or more fields
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting