Distributed Model Coupling Framework
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
The Architecture of the Earth System Modeling Framework
Computing in Science and Engineering
Triana: A Graphical Web Service Composition and Execution Toolkit
ICWS '04 Proceedings of the IEEE International Conference on Web Services
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications
Design and Implementation of Components in the Earth System Modeling Framework
International Journal of High Performance Computing Applications
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Provenance-aware storage systems
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Automatic capture and reconstruction of computational provenance
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance for Computational Tasks: A Survey
Computing in Science and Engineering
Provenance Information Model of Karma Version 3
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Actor-oriented design of scientific workflows
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Provenance collection support in the kepler scientific workflow system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
A model for user-oriented data provenance in pipelined scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Environmental Modelling & Software
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Many separate tasks must be performed to configure, run, and analyze Earth system modeling applications. This work is motivated by the complexities of running a large modeling system on a high performance network and the need to reduce those complexities, particularly for the average user. Scientific workflow systems can be used to simplify these task and their relationships, although how to implement such systems is still an open research area. In this paper, we present a methodology to combine a scientific workflow and modeling framework approach to create a standardized work environment and provide a first example of a self-describing Earth system model. We then show the results of an example workflow that is based on the proposed methodology. The example workflow allows running and analyzing a global circulation model on both a grid computing environment and a cluster system, with meaningful abstractions for the model and computing environment. As can be seen through this example, a layered approach to collecting provenance and metadata information has the added benefit of documenting a run in far greater detail than before. This approach facilitates exploration of runs and leads to possible reproducibility.