Putting Regional Climate Prediction in Reach
Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wolf, Laura [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Computing in science & engineering - Los Alamitos, Calif., 1999, 17(2015), 5, Seite 49-51 |
|---|---|
| Übergeordnetes Werk: |
volume:17 ; year:2015 ; number:5 ; pages:49-51 |
| Links: |
|---|
| DOI / URN: |
10.1109/MCSE.2015.101 |
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OLC1960826786 |
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| 520 | |a Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on leadership computing systems. In time, these regional-scale-resolving global climate models will arm local and state decision makers with the information needed to prepare for both short- and long-term impacts of climate change. | ||
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| 650 | 4 | |a leadership | |
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10.1109/MCSE.2015.101 doi PQ20160617 (DE-627)OLC1960826786 (DE-599)GBVOLC1960826786 (PRQ)c1278-b16b364774f7362b94907637d07987761cfcf8390ee006be2e0f9cc539bd894e0 (KEY)0385568620150000017000500049puttingregionalclimatepredictioninreach DE-627 ger DE-627 rakwb eng 530 004 DNB 33.00 bkl Wolf, Laura verfasserin aut Putting Regional Climate Prediction in Reach 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on leadership computing systems. In time, these regional-scale-resolving global climate models will arm local and state decision makers with the information needed to prepare for both short- and long-term impacts of climate change. Atmospheric modeling Predictive models leadership Spatial resolution Computational modeling supercomputers Numerical models high-performance computing climate models scientific computing HPC Meteorology Data models Collins, Jim oth Enthalten in Computing in science & engineering Los Alamitos, Calif., 1999 17(2015), 5, Seite 49-51 (DE-627)254448593 (DE-600)1462020-0 (DE-576)074529269 1521-9615 nnns volume:17 year:2015 number:5 pages:49-51 http://dx.doi.org/10.1109/MCSE.2015.101 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7208759 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2016 33.00 AVZ AR 17 2015 5 49-51 |
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Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on leadership computing systems. In time, these regional-scale-resolving global climate models will arm local and state decision makers with the information needed to prepare for both short- and long-term impacts of climate change. |
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Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on leadership computing systems. In time, these regional-scale-resolving global climate models will arm local and state decision makers with the information needed to prepare for both short- and long-term impacts of climate change. |
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Developing the capability to project how climate change will affect a particular region--any region--on Earth is a high-performance computing problem with enormous economic and health impacts. Techniques to resolve regional-scale features in global climate models are being developed and validated on leadership computing systems. In time, these regional-scale-resolving global climate models will arm local and state decision makers with the information needed to prepare for both short- and long-term impacts of climate change. |
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Putting Regional Climate Prediction in Reach |
| url |
http://dx.doi.org/10.1109/MCSE.2015.101 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7208759 |
| remote_bool |
false |
| author2 |
Collins, Jim |
| author2Str |
Collins, Jim |
| ppnlink |
254448593 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1109/MCSE.2015.101 |
| up_date |
2024-07-03T22:42:42.093Z |
| _version_ |
1803599543895326720 |
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