CASA and LEAD: Adaptive cyberinfrastructure for real-time multiscale weather forecasting

被引:45
作者
Plale, Beth [1 ]
Gannon, Dennis
Brotzge, Jerry
Droegemeier, Kelvin
Kurose, Jim
McLaughlin, David
Wilhelmson, Robert
Graves, Sara
Ramamurthy, Mohan
Clark, Richard D.
Yalda, Sepi
Reed, Daniel A.
Joseph, Everette
Chandrasekar, V.
机构
[1] Indiana Univ, Data & Search Inst, Bloomington, IN 47405 USA
[2] Univ Oklahoma, CAPS, Norman, OK 73019 USA
[3] Univ Massachusetts, Dept Comp Sci, Amherst, MA 01003 USA
[4] Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA
[5] Univ Alabama, Dept Comp Sci, Huntsville, AL 35899 USA
[6] Univ Corp Atmospher Res, Unidata Program Ctr, Boulder, CO USA
[7] Millersville Univ Pennsylvania, Dept Earth Sci, Millersville, PA USA
[8] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC USA
[9] Howard Univ, Dept Phys & Astron, Washington, DC 20059 USA
[10] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA
[11] Univ Massachusetts, Coll Engn, Amherst, MA 01003 USA
[12] Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA
[13] Univ Alabama, Informat Technol & Syst Ctr, Huntsville, AL 35899 USA
[14] Howard Univ, Ctr Study Terr & Extraterr Atmospheres, Washington, DC USA
基金
美国国家科学基金会;
关键词
D O I
10.1109/MC.2006.375
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Whereas scientists generate today's forecasts on a fixed time schedule, new radar technologies and improved model physics are enabling on- demand forecasts in response to current weather events. These forecasts ingest regional atmospheric data in real time and can consume large computational resources in real time as well. Two highly complementary projects are developing a hardware and software framework to enable real- time multiscale forecasting. Collaborative Adaptive Sensing of the Atmosphere and Linked Environments for Atmospheric Discovery are stand- alone systems that offer distinct benefits to their respective user communities, but when used together, promise a paradigm shift in atmospheric science research.
引用
收藏
页码:56 / 64
页数:9
相关论文
共 14 条
[1]  
[Anonymous], P 2005 WORKSH END TO
[2]  
Gannon D, 2005, LECT NOTES COMPUT SC, V3826, P21
[3]  
HONDL KD, 2003, P 19 C INT INF PROC
[4]  
JAGANNATHAN V, 1989, BLACKBOARD ARCHITECT
[5]   Building web services for scientific grid applications [J].
Kandaswamy, G ;
Fang, L ;
Huang, Y ;
Shirasuna, S ;
Marru, S ;
Gannon, D .
IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2006, 50 (2-3) :249-260
[6]  
LIU Y, 2006, IN PRESS P 7 IEEE AC
[7]  
McLaughlin D. J., 2005, P 9 S INT OBS ASS SY
[8]  
MICHALAKES J, 1999, TERACOMPUTING, P117
[9]   Active management of scientific data [J].
Plale, B ;
Gannon, D ;
Alameda, J ;
Wilhelmson, B ;
Hampton, S ;
Rossi, A ;
Droegemeier, K .
IEEE INTERNET COMPUTING, 2005, 9 (01) :27-34
[10]   Earth Science Markup Language (ESML): a solution for scientific data-application interoperability problem [J].
Ramachandran, R ;
Graves, S ;
Conover, H ;
Moe, K .
COMPUTERS & GEOSCIENCES, 2004, 30 (01) :117-124