Climate change prediction with new generation models: moderate and high resolution studies
MetadataShow full item record
The main purpose of this research is to use the Parallel Climate Model (PCM) and the Community Climate System Model version 2 (CCSM2) for studies of anthropogenically forced climate change simulations with higher resolution and more detailed model components. Because it is difficult to separate anthropogencic climate change from natural climate variability, it is necessary to carry out ensembles of simulations in order to find the statistically significant climate change signal.
This document is from the following publication: NERSC 2001 Annual Report; John Hules editor Publication Date: 12-12-2001 Abstract: The National Energy Research Scientific Computing Center (NERSC) is the primary computational resource for scientific research funded by the DOE Office of Science. The Annual Report for FY2001 includes a summary of recent computational science conducted on NERSC systems (with abstracts of significant and representative projects); information about NERSC's current systems and services; descriptions of Berkeley Lab's current research and development projects in applied mathematics, computer science, and computational science; and a brief summary of NERSC's Strategic Plan for 2002-2005.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Arkin, Adam; Bader, David C.; Coffey, Richard; Antypas, Katie; Bard, Deborah; Dart, Eli; Dosanjh, Sudip; Gerber, Richard; Hack, James; Monga, Inder; Papka, Michael E.; Riley, Katherine; Rotman, Lauren; Straatsma, Tjerk; Wells, Jack; Aluru, Srinivas; Andersen, Amity; Aprá, Edoardo; Azad, Ariful; Bates, Susan; Blaby, Ian; Blaby-Haas, Crysten; Bonneau, Rich; Bowen, Ben; Bradford, Mark A.; Brodie, Eoin; Brown, James; Buluc, Aydin; Bernholdt, David; Bylaska, Eric; Calvin, Kate; Cannon, Bill; Chen, Xingyuan; Cheng, Xiaolin; Cheung, Margaret; Chowdhary, Kenny; Colella, Phillip; Collins, Bill; Compo, Gil; Crowley, Mike; Debusschere, Bert; D'Imperio, Nicholas; Dror, Ron; Egan, Rob; Evans, Katherine; Friedberg, Iddo; Fyke, Jeremy; Gao, Zheng; Georganas, Evangelos; Giraldo, Frank; Gnanakaran, Gnana; Govind, Niri; Grandy, Stuart; Gustafson, Bill; Hammond, Glenn; Hargrove, William; Heroux, Michael; Hoffman, Forrest; Hofmeyr, Steven; Hunke, Elizabeth; Jackson, Charles; Jacob, Rob; Jacobson, Dan; Jacobson, Matt; Jain, Chirag; Johansen, Hans; Johnson, Jeff; Jones, Andy; Jones, Phil; Kalyanaraman, Ananth; Kang, Senghwa; King, Eric; Koanantakool, Penporn; Kollias, Pavlos; Kopera, Michal; Kotamarthi, Rao; Kowalski, Karol; Kumar, Jitendra; Kyrpides, Nikos; Leung, Ruby; Li, Xiaolin; Lin, Wuyin; Link, Robert; Liu, Yangang; Loew, Leslie; Luke, Edward; Ma, Hsi -Yen; Mahadevan, Radhakrishnan; Maranas, Costas; Martin, Daniel; Maslowski, Wieslaw; McCue, Lee Ann; McInnes, Lois Curfman; Mills, Richard; Molins Rafa, Sergi; Morozov, Dmitriy; Mostafavi, Sara; Moulton, David J.; Mourao, Zenaida; Najm, Habib; Ng, Bernard; Ng, Esmond; Norman, Matt; Oh, Sang -Yun; Oliker, Leonid; Pan, Chongle; Pass, Rebecca; Pau, George S. H.; Petridis, Loukas; Prakash, Giri; Price, Stephen; Randall, David; Renslow, Ryan; Riihimaki, Laura; Ringler, Todd; Roberts, Andrew; Rokhsar, Dan; Ruebel, Oliver; Salinger, Andrew; Scheibe, Tim; Schulz, Roland; Sivaraman, Chitra; Smith, Jeremy; Sreepathi, Sarat; Steefel, Carl; Talbot, Jenifer; Tantillo, D. J.; Tartakovsky, Alex; Taylor, Mark; Taylor, Ronald; Trebotich, David; Urban, Nathan; Valiev, Marat; Wagner, Allon; Wainwright, Haruko; Wieder, Will; Wiley, Steven; Williams, Dean; Worley, Pat; Xie, Shaocheng; Yelick, Kathy; Yoo, Shinjae; Yosef, Niri; Zhang, Minghua (2016-03-31);Understanding the fundamentals of genomic systems or the processes governing impactful weather patterns are examples of the types of simulation and modeling performed on the most advanced computing resources in America. ...
Twigg, Katherine L. (Monterey, California. Naval Postgraduate School, 2007-09);Surface electromagnetic propagation over the ocean is highly sensitive to near-surface atmospheric variability, particularly the height of the evaporation duct. Seasonal variation in near-surface meterological factors and ...
Ramsaur, David. (Monterey, California: Naval Postgraduate School, 2009-06);The ability to predict the evaporation duct has important applications for naval activities, such as electronic counter-measures, surveillance, communications, and radar detection and tracking of submarine periscopes, ...