Collaboration tools and techniques for large model datasets

dc.contributor.author Signell, Richard P.
dc.contributor.author Carniel, Sandro
dc.contributor.author Chiggiato, Jacopo
dc.contributor.author Janekovic, Ivica
dc.contributor.author Pullen, Julie
dc.contributor.author Sherwood, Christopher R.
dc.date.accessioned 2008-01-31T14:31:07Z
dc.date.available 2008-01-31T14:31:07Z
dc.date.issued 2006-08-08
dc.description Author Posting. © The Author(s), 2007. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Journal of Marine Systems 69 (2008): 154-161, doi:10.1016/j.jmarsys.2007.02.013. en
dc.description.abstract In MREA and many other marine applications, it is common to have multiple models running with different grids, run by different institutions. Techniques and tools are described for low-bandwidth delivery of data from large multidimensional data sets, such as those from meteorological and oceanographic models, directly into generic analysis and visualization tools. Output is stored using the NetCDF CF Metadata Conventions, and then delivered to collaborators over the web via OPeNDAP. OPeNDAP datasets served by different institutions are then organized via THREDDS catalogs. Tools and procedures are then used which enable scientists to explore data on the original model grids using tools they are familiar with. It is also low-bandwidth, enabling users to extract just the data they require, an important feature for access from ship or remote areas. The entire implementation is simple enough to be handled by modelers working with their webmasters – no advanced programming support is necessary. en
dc.description.sponsorship S. Carniel was partially supported by the Office of Naval Research (ONR grant number N00014-05-1-0730). I. Janekovic was supported by the Croatian Ministry of Science, Education and Sport (grant number 0098113). en
dc.format.mimetype application/pdf
dc.identifier.uri https://hdl.handle.net/1912/2050
dc.language.iso en_US en
dc.relation.uri https://doi.org/10.1016/j.jmarsys.2007.02.013
dc.subject Data collections en
dc.subject Information systems en
dc.subject Modelling en
dc.subject Adriatic Sea en
dc.title Collaboration tools and techniques for large model datasets en
dc.type Preprint en
dspace.entity.type Publication
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