Rapid real-time interdisciplinary ocean forecasting using adaptive sampling and adaptive modeling and legacy codes: component encapsulation using XML

Authors:
Constantinos Evangelinos;Robert Chang;Pierre F. J. Lermusiaux;Nicholas M. Patrikalakis
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Harvard University, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science
Year:
2003

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Abstract

We present the high level architecture of a real-time interdisciplinary ocean forecasting system that employs adaptive elements in both modeling and sampling. We also discuss an important issue that arises in creating an integrated, web-accessible framework for such a system out of existing stand-alone components: transparent support for handling legacy binaries. Such binaries, that are most common in scientific applications, expect a standard input stream, maybe some command line options, a set of input files and generate a set of output files as well as standard output and error streams. Legacy applications of this form are encapsulated using XML. We present a method that uses XML documents to describe the parameters for executing a binary.