Experimental frame structuring and aggregation of source data: application to US climate normals

ABSTRACT

An experimental frame is a specification of the condition under which the system is observed or experimented with. This paper presents experimental frame structuring of the source data. US Climate Normals are introduced for the source data example. The Meta data of US Climate Normals placed in a repository is parsed by XML parsing engine, and then structures model by the parallel and serial composition (concatenation). US Climate Normals are summarized in the collection of almost 6000 weather stations. This paper introduces modeling at multiple levels of resolution by decomposing the US region with SES. The system searching resolution regarding an input variable, spread, and structuring DEVS model is presented. A simple example shows the process of model structuring and abstraction. The example also shows how almost 6000 station models are abstracted at a resolution level. For future work, web service application and dynamic system structuring is mentioned.

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INDEX TERMS

Keywords:
XML meta data, aggregation, experimental frame, resolution, system entity structure