Collaborative study of GENIEfy Earth System Models using scripted database workflows in a Grid-enabled PSE

• Main Authors: A. R. Price, Z. Jiao, I. I. Voutchkov, T. M. Lenton, G. Williams, D. J. Lunt, R. Marsh, P. J. Valdes, S. J. Cox, The Genie Team
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Sea ice
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.7055; http://www.allhands.org.uk/2006/proceedings/papers/676.pdf

The integration of computational grids and data grids into a common problem solving environment enables collaboration between members of the GENIEfy project. In addition, state-of-the-art optimisation algorithms complement the component framework to provide a comprehensive toolset for Earth system modelling. In this paper, we present for the first time, the application of the nondominated sorting genetic algorithm (NSGA-II) to perform a multiobjective tuning of a 3D atmosphere model. We then demonstrate how scripted database workflows enable the collective pooling of available resource at distributed client sites to collaboratively progress ensembles of simulations through to completion on the computational grid. A systematic study of the oceanic thermohaline circulation in a hierarchy of 3D atmosphere-ocean-sea-ice models is presented providing evidence for bi-stability in the Atlantic Meridional Overturning Circulation.