Design papers

D.J. Frame, T. Aina, C.M. Christensen, N. E. Fall, S.H.E. Knight, C. Piani, S.M. Rosier, K. Yamazaki, Y. Yamazaki and M.R. Allen, The climateprediction.net BBC climate change experiment: design of the coupled model ensemble, Philosophical Transactions of The Royal Society A, 367, pp.855-870, 2009.

D. Goodman, Introduction and Evaluation of Martlet, a Scientific Workflow Language for Abstracted Parallelisation, Proceedings of the Sixteenth International World Wide Web Conference, pp.983-982, May 2007.

D. Goodman, Martlet: a scientific work-flow language for abstracted parallisation, Proceedings of UK e-science All Hands meeting, Nottingham, UK, September 2006.

N. Massey, T. Aina, M. Allen, C. Christensen, D. Frame, D. Goodman, J. Kettleborough, A. Martin, S. Pascoe and D. Stainforth, Data access and analysis with distributed federated data servers in climateprediction.net , Advances in Geosciences, 8, p49-56, 2006.

Carl Christensen, Tolu Aina, David Stainforth, The Challenge of Volunteer Computing With Lengthy Climate Modelling Simulations, Proceedings of the 1st IEEE Conference on e-Science and Grid Computing, Melbourne, Australia, 5-8 Dec 2005

David Stainforth, Andrew Martin, Andrew Simpson, Carl Christensen, Jamie Kettleborough, Tolu Aina, and Myles Allen, Security Principles for Public-Resource Modeling Research, Proceedings of the 13th IEEE Conference on Enabling Grid Technologies (ENTGRID), Modena, Italy, June 2004

David Stainforth, Jamie Kettleborough, Andrew Martin, Andrew Simpson, Richard Gillis, Ali Akkas, Richard Gault, Mat Collins, David Gavaghan, & Myles Allen, Climateprediction.net: design principles for public resource modelling research, Proc. 14th IASTED conference on parallel and distributed computing systems, 2002.

David Stainforth, Jamie Kettleborough, Myles Allen, Matthew Collins, & Andy Heaps, Climateprediction.com: Distributed Computing for Public Interest Modelling Research. Computing in Science and Engineering, vol 4, no. 3, 2002.