Developing the next-generation climate system models: challenges and achievements. Slingo, J., Bates, K., Nikiforakis, N., Piggott, M., Roberts, M. J., Shaffrey, L. C., Stevens, I., Vidale, Luigi, P., & Weller, H. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 367(1890):815--31, March, 2009. Paper doi abstract bibtex 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.
@article{ Slingo2009a,
author = {Slingo, Julia and Bates, Kevin and Nikiforakis, Nikos and Piggott,
Matthew and Roberts, Malcolm J. and Shaffrey, Len C. and Stevens,
Ian and Vidale, Pier Luigi and Weller, Hilary},
title = {{Developing the next-generation climate system models: challenges
and achievements.}},
journal = {Philosophical transactions. Series A, Mathematical, physical, and
engineering sciences},
year = {2009},
volume = {367},
pages = {815--31},
number = {1890},
month = {March},
abstract = {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.},
doi = {10.1098/rsta.2008.0207},
file = {:Users/reinhard/Documents/articles/mendeley/Slingo et al‥ 2009. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences.pdf:pdf},
issn = {1364-503X},
keywords = {Climate,Climatic Processes,Computer Simulation,Ecology,Ecology: methods,Ecology:
trends,Internet,Models,Research,Research: trends,Science,Science:
methods,Science: trends,Theoretical},
pmid = {19087925},
url = {http://www.ncbi.nlm.nih.gov/pubmed/19087925}
}
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