title: Multi-objective optimization of GENIE Earth system models.
abstract: The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models. Grid computing technology is therefore essential to make this algorithm practical for members of the GENIE project.
authors.affiliation: School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK. a.r.price@soton.ac.uk
authors.forename: Andrew R
authors.initials: AR
authors.lastname: Price
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Myerscough
authors.forename: Ivan I
authors.initials: II
authors.lastname: Voutchkov
authors.forename: Robert
authors.initials: R
authors.lastname: Marsh
authors.forename: Simon J
authors.initials: SJ
authors.lastname: Cox
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003205:Computing Methodologies; D018534:Earth, Planet; D008962:Models, Theoretical; D012984:Software