TY - JOUR
T1 - Progress in fast, accurate multi-scale climate simulations
AU - Collins, W. D.
AU - Johansen, H.
AU - Evans, K. J.
AU - Woodward, C. S.
AU - Caldwell, P. M.
N1 - Publisher Copyright:
© The Authors. Published by Elsevier B.V.
PY - 2015
Y1 - 2015
N2 - We present a survey of physical and computational techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties. Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades. These topics have been presented within a workshop titled, "Numerical and Computational Developments to Advance Multiscale Earth System Models (MSESM'15)," as part of the International Conference on Computational Sciences, Reykjavik, Iceland, June 1-3, 2015.
AB - We present a survey of physical and computational techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties. Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades. These topics have been presented within a workshop titled, "Numerical and Computational Developments to Advance Multiscale Earth System Models (MSESM'15)," as part of the International Conference on Computational Sciences, Reykjavik, Iceland, June 1-3, 2015.
KW - Earth System Models
KW - Many-core
KW - Multi-scale climate
KW - Time integration
UR - http://www.scopus.com/inward/record.url?scp=84939190540&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2015.05.465
DO - 10.1016/j.procs.2015.05.465
M3 - Conference article
AN - SCOPUS:84939190540
SN - 1877-0509
VL - 51
SP - 2006
EP - 2015
JO - Procedia Computer Science
JF - Procedia Computer Science
IS - 1
T2 - International Conference on Computational Science, ICCS 2002
Y2 - 21 April 2002 through 24 April 2002
ER -