Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Dean N. Williams"'
Autor:
Jean‐Christophe Golaz, Peter M. Caldwell, Luke P. Van Roekel, Mark R. Petersen, Qi Tang, Jonathan D. Wolfe, Guta Abeshu, Valentine Anantharaj, Xylar S. Asay‐Davis, David C. Bader, Sterling A. Baldwin, Gautam Bisht, Peter A. Bogenschutz, Marcia Branstetter, Michael A. Brunke, Steven R. Brus, Susannah M. Burrows, Philip J. Cameron‐Smith, Aaron S. Donahue, Michael Deakin, Richard C. Easter, Katherine J. Evans, Yan Feng, Mark Flanner, James G. Foucar, Jeremy G. Fyke, Brian M. Griffin, Cécile Hannay, Bryce E. Harrop, Mattthew J. Hoffman, Elizabeth C. Hunke, Robert L. Jacob, Douglas W. Jacobsen, Nicole Jeffery, Philip W. Jones, Noel D. Keen, Stephen A. Klein, Vincent E. Larson, L. Ruby Leung, Hong‐Yi Li, Wuyin Lin, William H. Lipscomb, Po‐Lun Ma, Salil Mahajan, Mathew E. Maltrud, Azamat Mametjanov, Julie L. McClean, Renata B. McCoy, Richard B. Neale, Stephen F. Price, Yun Qian, Philip J. Rasch, J. E. Jack Reeves Eyre, William J. Riley, Todd D. Ringler, Andrew F. Roberts, Erika L. Roesler, Andrew G. Salinger, Zeshawn Shaheen, Xiaoying Shi, Balwinder Singh, Jinyun Tang, Mark A. Taylor, Peter E. Thornton, Adrian K. Turner, Milena Veneziani, Hui Wan, Hailong Wang, Shanlin Wang, Dean N. Williams, Phillip J. Wolfram, Patrick H. Worley, Shaocheng Xie, Yang Yang, Jin‐Ho Yoon, Mark D. Zelinka, Charles S. Zender, Xubin Zeng, Chengzhu Zhang, Kai Zhang, Yuying Zhang, Xue Zheng, Tian Zhou, Qing Zhu
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 7, Pp 2089-2129 (2019)
Abstract This work documents the first version of the U.S. Department of Energy (DOE) new Energy Exascale Earth System Model (E3SMv1). We focus on the standard resolution of the fully coupled physical model designed to address DOE mission‐relevant
Externí odkaz:
https://doaj.org/article/41308c66b425453fb24bef57ead160e2
Autor:
Robert Jacob, Sterling Baldwin, Wuyin Lin, Jonathan Wolfe, Bryce E. Harrop, Noel Keen, Shaocheng Xie, Mark R. Petersen, Hailong Wang, Yan Feng, Todd D. Ringler, Jinyun Tang, Phillip J. Wolfram, William H. Lipscomb, Elizabeth Hunke, Mark D. Zelinka, Richard C. Easter, Gautam Bisht, Balwinder Singh, Charles S. Zender, Xylar Asay-Davis, Hongyi Li, Philip Cameron-Smith, Kai Zhang, James G. Foucar, L. Ruby Leung, Nicole Jeffery, Peter E. Thornton, Cecile Hannay, Tian Zhou, Steven R. Brus, Milena Veneziani, Philip J. Rasch, Yuying Zhang, Renata B. McCoy, Chengzhu Zhang, Shanlin Wang, Mattthew J. Hoffman, Andrew Roberts, Jin-Ho Yoon, Aaron S. Donahue, Douglas W. Jacobsen, Valentine G. Anantharaj, Xubin Zeng, Qing Zhu, Julie L. McClean, David C. Bader, Brian M. Griffin, J. E. Jack Reeves Eyre, Susannah M. Burrows, Andrew G. Salinger, Peter A. Bogenschutz, Mark A. Taylor, Yun Qian, Zeshawn Shaheen, Po-Lun Ma, Katherine J. Evans, Peter M. Caldwell, Hui Wan, Michael A. Brunke, Philip W. Jones, Stephen Price, Marcia L. Branstetter, Qi Tang, Yang Yang, Salil Mahajan, Azamat Mametjanov, Stephen A. Klein, Adrian K. Turner, Vincent E. Larson, Xiaoying Shi, Erika Louise Roesler, Patrick H. Worley, Michael Deakin, Mark Flanner, Luke Van Roekel, X. Zheng, G. W. Abeshu, Jeremy Fyke, William J. Riley, Richard Neale, Dean N. Williams, Jean-Christophe Golaz, Mathew Maltrud
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 7, Pp 2089-2129 (2019)
Journal of Advances in Modeling Earth Systems, vol 11, iss 7
Journal of Advances in Modeling Earth Systems, vol 11, iss 7
This work documents the first version of the U.S. Department of Energy (DOE) new Energy Exascale Earth System Model (E3SMv1). We focus on the standard resolution of the fully coupled physical model designed to address DOE mission-relevant water cycle
Autor:
Michael G. Bosilovich, Judith A. Hertz, Dean N. Williams, Gerald L. Potter, Daniel Duffy, L. Carriere, Tsengdar J. Lee
Publikováno v:
Bulletin of the American Meteorological Society. 99:677-687
This paper describes the repackaging and consistent distribution of the world’s major atmospheric and oceanic reanalyses. It also presents examples of the usefulness of examining multiple reanalyses. This service will make it much easier for anybod
Autor:
Glenn S. Tamkin, Pamela Rinsland, W. Phillip Webster, Paul Ramirez, Christopher Lynnes, Gerald L. Potter, Dean N. Williams, Chris A. Mattmann, Tsengdar J. Lee, M. McInerney, Luca Cinquini, Duane E. Waliser, L. Carriere, John L. Schnase, Daniel Duffy, Andrew F. Hart
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 4:10-22
The knowledge we gain from research in climate science depends on the generation, dissemination, and analysis of high-quality data. This work comprises technical practice as well as social practice, both of which are distinguished by their massive sc
Autor:
Dean N. Williams, Charles Doutriaux, Alexis Berg, Aiguo Dai, Peter J. Gleckler, Curt Covey, John T. Fasullo, Kevin E. Trenberth
Publikováno v:
Journal of Climate. 29:4461-4471
Metrics are proposed—that is, a few summary statistics that condense large amounts of data from observations or model simulations—encapsulating the diurnal cycle of precipitation. Vector area averaging of Fourier amplitude and phase produces usef
Autor:
Rose Hansen, Michael Lautenschlager, R. Ferraro, Ben Evans, Sébastien Denvil, Claire Trenham, Venkatramani Balaji, L. Cinquini, Dean N. Williams, Daniel Duffy
Publikováno v:
Bulletin of the American Meteorological Society. 97:803-816
Working across U.S. federal agencies, international agencies, and multiple worldwide data centers, and spanning seven international network organizations, the Earth System Grid Federation (ESGF) allows users to access, analyze, and visualize data usi
Autor:
Sasha Ames, Zeshawn Shaheen, Jim McEnerney, Jeff Painter, Tony Hoang, Charles Doutriaux, Brian E. Smith, Dean N. Williams, Cameron Christensen
Publikováno v:
Journal of Software Engineering and Applications. :199-207
The parallelization of the diagnostics for climate research has been an important goal in the performance testing and improvement of the diagnostics for the Department of Energy’s (DOE’s) Accelerated Climate Modeling for Energy (ACME) project [1]
Autor:
Dean N. Williams, Giovanni Aloisio, Donatello Elia, Sandro Fiore, Alessandro DrAnca, Ian Foster, Fabrizio Antonio, Cosimo Palazzo
Publikováno v:
2018 IEEE International Conference on Big Data (Big Data)
IEEE BigData
IEEE BigData
Open Science is key to future scientific research and promotes a deep transformation in the whole scientific research process encouraging the adoption of transparent and collaborative scientific approaches aimed at knowledge sharing. Open Science is
Publikováno v:
ICDM Workshops
Deep learning techniques have been successfully applied to solve many problems in climate and geoscience using massive-scaled observed and modeled data. For extreme climate event detections, several models based on deep neural networks have been rece
Publikováno v:
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration ISBN: 9783319585239
HCI (4)
HCI (4)
Earth System Grid Federation (ESGF), a well-known e-infrastructure provides open data to study the future anthropogenic climate change. Data are accessed by the research communities to produce sophisticated simulations of the Earth system. This study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465d8902facc3daf3be6b88501ad16d6
https://doi.org/10.1007/978-3-319-58524-6_37
https://doi.org/10.1007/978-3-319-58524-6_37