Name | ATHENA dataset |
Edition | 1 |
Abbreviation | ATHENA |
Metadata Identifier | ATHENA20230727071143-DIAS20221121113753-en |
Name | J.M. Adams |
---|---|
Organization | IGES |
jma@cola.iges.org |
Name | M. Satoh |
---|---|
Organization | AORI |
satoh@aori.u-tokyo.ac.jp |
Name | C. Kodama |
---|---|
Organization | JAMSTEC |
kodamac@jamstec.go.jp |
Name | J.M. Adams |
---|---|
Organization | IGES |
jma@cola.iges.org |
Name | M. Satoh |
---|---|
Organization | AORI |
satoh@aori.u-tokyo.ac.jp |
Name | C. Kodama |
---|---|
Organization | JAMSTEC |
kodamac@jamstec.go.jp |
The efficacy of using high spatial resolution in global climate models to improve their
fidelity and acuity has been tested in an international collaboration called Project Athena. Inspired by the World Modeling Summit of 2008, Project Athena was made possible by the availability of dedicated high-‐end computing resources provided by the National Science Foundation from October 2009 through March 2010. Research results demonstrate the sensitivity of climate simulations to spatial resolution and the representation of sub-‐grid-‐ scale processes, suggesting a minimum resolution is required to simulate certain phenomena. Project Athena serves as a pilot project to demonstrate that an effective international collaboration can be formed to take advantage of dedicated computing resources. The outcomes of the project, while still unfolding, have a number of implications for the future of climate modeling and prediction.
North bound latitude | 90 |
West bound longitude | -180 |
Eastbound longitude | 180 |
South bound latitude | -90 |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
discipline | Atmosphere hindcast amip timeslice | No_Dictionary |
Data download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:225
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
These datasets were obtained in the 2009-‐2010 Athena Project, a computationally intensive project that was carried out using the Athena supercomputer at the University of Tennessee's National Institute for Computational Sciences (NICS), under the auspices of the National Science Foundation (NSF).
If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "
Kinter III, J. L., B. Cash, D. Achuthavarier, J. Adams, E. Altshuler, P. Dirmeyer, B. Doty, B. Huang, L.
Marx, J. Manganello, C. Stan, T. Wakefield, E. Jin, T. Palmer, M. Hamrud, T. Jung, M. Miller, P. Towers, N. Wedi, M. Satoh, H. Tomita, C. Kodama, T. Nasuno, K. Oouchi, Y. Yamada, H. Taniguchi, P. Andrews, T. Baer, M. Ezell, C. Halloy, D. John, B. Loftis, R. Mohr, and K. Wong, 2013: Revolutionizing Climate Modeling – Project Athena: A Multi-Institutional, International Collaboration. Bull. Amer. Meteor. Soc., 94, 231-245.