Multi-objective optimization of GENIE Earth system models.

Andrew R Price, Richard J Myerscough, Ivan I Voutchkov, Robert Marsh, Simon J Cox
Author Information
  1. Andrew R Price: School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK. a.r.price@soton.ac.uk

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.

MeSH Term

Algorithms
Computer Simulation
Computing Methodologies
Earth, Planet
Models, Theoretical
Software

Word Cloud

Created with Highcharts 10.0.0modelsEarthsystemoptimizationcomputingclimateessentialalgorithmevaluationRSMsGENIEtuningparametersprovidereliablelong-termforecastsbehaviourapplymulti-objectiveproblemparameterestimationprocessinvolvesiterativeresponsesurfacefollowedexecutionmultiplesimulationscomputationsrequireinfrastructureprovideshigh-performancebuildingsearchinghigh-throughputconcurrentlargenumberGridtechnologythereforemakepracticalmembersprojectMulti-objective

Similar Articles

Cited By