Multi-objective optimization of GENIE Earth system models.
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.
Price
Andrew R
AR
School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK. a.r.price@soton.ac.uk
Myerscough
Richard J
RJ
Voutchkov
Ivan I
II
Marsh
Robert
R
Cox
Simon J
SJ
D000465:Algorithms; D003198:Computer Simulation; D003205:Computing Methodologies; D018534:Earth, Planet; D008962:Models, Theoretical; D012984:Software