Abstract
As described in the previous section, a typical ESM application manages a series of different tasks, such as configuration, the building and running of the model on various computing resources, and the pre- and post-processing of the input data and model results, and, finally, the visualization of the results. Now-a-days, there are additional tasks concerned with the gathering of metadata about the run environment used, about the model itself and about the input and output data used in a particular run. Due to the complexity of the processes and the multi-component nature of the earth system models used, each of these tasks requires different levels of expertise and attention. If not supported well, the intricacies of these processes may prevent researchers from focusing on scientific issues, and may make it difficult, or even impossible, to undertake some earth system science problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
References
Altintas I, Barney O, Jaeger-Frank E (2006) Provenance collection support in the kepler scientific workflow system, Provenance and Annotation of Data, pp 118–132. doi:10.1007/11890850_14. http://dx.doi.org/10.1007/11890850_14
Bavoil L, Callahan SP, Scheidegger CE, Vo HT, Crossno P, Silva CT, Freire J (2005) Vistrails: enabling interactive multiple-view visualizations. In: IEEE Visualization, IEEE Computer Society 18
Bowers S, Ascher B (2005) Actor-oriented design of scientific workflows. In: In 24st International conference on conceptual modeling, Springer, pp 369–384
Cao B, Plale B, Subramanian G, Robertson Ed, Simmhan Y (2009) Provenance Information Model of Karma Version 3. In: Proceedings of the 2009 Congress on Services-I. IEEE Computer Society, Washington, pp 348–351. doi: 10.1109/SERVICES-I.2009.54. http://portal.acm.org/citation.cfm?id=1590963.1591574
Collins N, Theurich G, Deluca C, Suarez M, Trayanov A, Balaji V, Li P, Yang W, Hill C, Da Silva A (2005) Design and implementation of components in the earth system modeling framework. Int J High Perform Comput Appl 19(3):341–350. doi: 10.1177/1094342005056120
Eker J, Janneck J, Lee EA, Liu J, Liu X, Ludvig J, Sachs S, Xiong Y (2003) Taming heterogeneity—the ptolemy approach. Proceedings of the IEEE 91(1):127–144
Frew J, Metzger D, Slaughter P (2008) Automatic capture and reconstruction of computational provenance. Concurr Comput: Pract Exper 20:485–496. doi:10.1002/cpe.1247. http://dx.doi.org/10.1002/cpe.1247
Hill C, DeLuca C, Balaji V, Suarez M, da Silva A (2004) The architecture of the earth system modeling framework. Comput Sci Eng 6(1):18–28. doi:http://doi.ieeecomputersociety.org/10.1109/MCISE.2004.1255817
Larson J, Jacob R, Ong E (2005) The model coupling toolkit: a new fortran90 toolkit for building multiphysics parallel coupled models. Int J High Perform Comput Appl 19(3):277–292. doi:http://10.1177/1094342005056115
Lee EA, Neuendorffer S (2000) Moml-a modeling markup language in xml-version 0.4. Tech. Rep. UCB/ERL M00/12, EECS Department, University of California, Berkeley. http://www.eecs.berkeley.edu/Pubs/TechRpts/2000/3818.html
Ludäscher B, Altintas I, Berkley C, Higgins D, Jaeger E, Jones M, Lee EA, Tao J, Zhao Y (2005) Scientific workflow management and the kepler system. Concurr Comput Pract Exper 18(10):1039–1065
Majithia S, Shields MS, Taylor IJ, Wang I (2004) Triana: a graphical web service composition and execution toolkit. In: ICWS, IEEE Computer Society, pp 514
Muniswamy-Reddy K, Holland DA, Braun U, Seltzer M (2006) Provenance-aware storage systems. In: Proceedings of the annual conference on USENIX ’06 Annual Technical Conference. USENIX Association, Berkelay, p 4. http://portal.acm.org/citation.cfm?id=1267359.1267363
Oinn T, Addis M, Ferris J, Marvin D, Senger M, Greenwood M, Carver T, Glover K, Pocock MR, Wipat A, Li P (2004) Taverna: a tool for the composition and enactment of bioinformatics workflows. Bioinformatics 20(17):3045–3054 URL http://bioinformatics.oxfordjournals.org/cgi/content/abstract/20/17/3045
Plale B, Gannon D, Brotzge J, Droegemeier K, Kurose JF, McLaughlin D, Wilhelmson R, Graves SJ, Ramamurthy M, Clark RD, Yalda S, Reed DA, Joseph E, Chandrasekar V (2006) Casa and lead: adaptive cyberinfrastructure for real-time multiscale weather forecasting. IEEE Computer 39(11):56–64
Podhorszki N, Klasky S (2008) Workflows in a secure environment. Distributed and Parallel Systems pp 143–153. doi:10.1007/978-0-387-79448-8_13
Turuncoglu UU, Murphy S, DeLuca C, Dalfes N (2011) A scientific workflow environment for earth system related studies. Computers & Geosciences 37(7):943–952. doi:10.1016/j.cageo.2010.11.013. http://www.sciencedirect.com/science/article/pii/S0098300410003808
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 The Author(s)
About this chapter
Cite this chapter
Turuncoglu, U.U. (2012). Applying Scientific Workflow to ESM. In: Earth System Modelling - Volume 5. SpringerBriefs in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23932-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-23932-8_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23931-1
Online ISBN: 978-3-642-23932-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)