Document Detail


Developing the next-generation climate system models: challenges and achievements.
MedLine Citation:
PMID:  19087925     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although climate models have been improving in accuracy and efficiency over the past few decades, it now seems that these incremental improvements may be slowing. As tera/petascale computing becomes massively parallel, our legacy codes are less suitable, and even with the increased resolution that we are now beginning to use, these models cannot represent the multiscale nature of the climate system. This paper argues that it may be time to reconsider the use of adaptive mesh refinement for weather and climate forecasting in order to achieve good scaling and representation of the wide range of spatial scales in the atmosphere and ocean. Furthermore, the challenge of introducing living organisms and human responses into climate system models is only just beginning to be tackled. We do not yet have a clear framework in which to approach the problem, but it is likely to cover such a huge number of different scales and processes that radically different methods may have to be considered. The challenges of multiscale modelling and petascale computing provide an opportunity to consider a fresh approach to numerical modelling of the climate (or Earth) system, which takes advantage of the computational fluid dynamics developments in other fields and brings new perspectives on how to incorporate Earth system processes. This paper reviews some of the current issues in climate (and, by implication, Earth) system modelling, and asks the question whether a new generation of models is needed to tackle these problems.
Authors:
Julia Slingo; Kevin Bates; Nikos Nikiforakis; Matthew Piggott; Malcolm Roberts; Len Shaffrey; Ian Stevens; Pier Luigi Vidale; Hilary Weller
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  367     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2009 Mar 
Date Detail:
Created Date:  2009-01-30     Completed Date:  2009-04-16     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  815-31     Citation Subset:  IM    
Affiliation:
NCAS-Climate, Walker Institute for Climate Research, University of Reading, Reading RG6 6AH, UK. j.m.slingo@reading.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Climate*
Climatic Processes*
Computer Simulation
Ecology / methods*,  trends*
Internet
Models, Theoretical*
Research / trends*
Science / methods,  trends

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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