August 19, 2009
Conference Paper

A Multi-Tier Provenance Model for Global Climate Research

Abstract

Global climate researchers rely upon many forms of sensor data and analytical methods to help profile subtle changes in climate conditions. The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program provides researchers with curated products called Value Added Products (VAPs) resulting from continuous instrumentation streams, data fusion, and analytical profiling. To provide these projects the ARM operations and research teams rely upon a number of techniques to ensure strict quality control and quality assurance codes are maintained. End users in the climate research community are highly interested in obtaining as much causal evidence as possible and currently either not all the evidence are easily attainable or easily identifiable without significant effort. Our research interests are to identify a provenance model that serves both the producers and consumers of the VAP maintaining the quality assurance/quality control standards and tailored to meeting the individual researcher’s needs.

Revised: March 8, 2010 | Published: August 19, 2009

Citation

Stephan E.G., T.D. Halter, T.D. Gibson, N. Beagley, and K.L. Schuchardt. 2009. A Multi-Tier Provenance Model for Global Climate Research. In International Conference on Network-Based Information Systems (NBIS '09), August 19-21, 2009, Indianapolis, Indiana, 481-486. Piscataway, New Jersey:IEEE. PNNL-SA-66186. doi:10.1109/NBiS.2009.16