Progress in Fast, Accurate Multi-scale Climate Simulations
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...
Main Authors: | , , , , |
---|---|
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
eScholarship, University of California
2015
|
Subjects: | |
Online Access: | https://escholarship.org/uc/item/2xh4g4wd |
id |
ftcdlib:oai:escholarship.org:ark:/13030/qt2xh4g4wd |
---|---|
record_format |
openpolar |
spelling |
ftcdlib:oai:escholarship.org:ark:/13030/qt2xh4g4wd 2024-01-07T09:44:14+01:00 Progress in Fast, Accurate Multi-scale Climate Simulations Collins, WD Johansen, H Evans, KJ Woodward, CS Caldwell, PM Koziel, Slawomir Leifsson, Leifur Þ Lees, Michael Krzhizhanovskaya, Valeria V Dongarra, Jack J Sloot, Peter MA 2006 - 2015 2015-01-01 https://escholarship.org/uc/item/2xh4g4wd unknown eScholarship, University of California qt2xh4g4wd https://escholarship.org/uc/item/2xh4g4wd public Procedia Computer Science, vol 51, iss 1 Information and Computing Sciences Applied Computing Climate Action earth system models multi-scale climate time integration many-core Technology article 2015 ftcdlib 2023-12-11T19:05:27Z 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. Article in Journal/Newspaper Iceland University of California: eScholarship |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Information and Computing Sciences Applied Computing Climate Action earth system models multi-scale climate time integration many-core Technology |
spellingShingle |
Information and Computing Sciences Applied Computing Climate Action earth system models multi-scale climate time integration many-core Technology Collins, WD Johansen, H Evans, KJ Woodward, CS Caldwell, PM Progress in Fast, Accurate Multi-scale Climate Simulations |
topic_facet |
Information and Computing Sciences Applied Computing Climate Action earth system models multi-scale climate time integration many-core Technology |
description |
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. |
author2 |
Koziel, Slawomir Leifsson, Leifur Þ Lees, Michael Krzhizhanovskaya, Valeria V Dongarra, Jack J Sloot, Peter MA |
format |
Article in Journal/Newspaper |
author |
Collins, WD Johansen, H Evans, KJ Woodward, CS Caldwell, PM |
author_facet |
Collins, WD Johansen, H Evans, KJ Woodward, CS Caldwell, PM |
author_sort |
Collins, WD |
title |
Progress in Fast, Accurate Multi-scale Climate Simulations |
title_short |
Progress in Fast, Accurate Multi-scale Climate Simulations |
title_full |
Progress in Fast, Accurate Multi-scale Climate Simulations |
title_fullStr |
Progress in Fast, Accurate Multi-scale Climate Simulations |
title_full_unstemmed |
Progress in Fast, Accurate Multi-scale Climate Simulations |
title_sort |
progress in fast, accurate multi-scale climate simulations |
publisher |
eScholarship, University of California |
publishDate |
2015 |
url |
https://escholarship.org/uc/item/2xh4g4wd |
op_coverage |
2006 - 2015 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Procedia Computer Science, vol 51, iss 1 |
op_relation |
qt2xh4g4wd https://escholarship.org/uc/item/2xh4g4wd |
op_rights |
public |
_version_ |
1787425590349922304 |