TY - GEN
T1 - Web enabled collaborative climate visualization in the earth system grid
AU - Kendall, Wesley
AU - Glatter, Markus
AU - Huang, Jian
AU - Hoffman, Forrest
AU - Bernholdt, David E.
PY - 2008
Y1 - 2008
N2 - The recent advances in high performance computing, storage and networking technologies have enabled fundamental changes in current climate research. While sharing datasets and results is already common practice in climate modeling, direct sharing of the analysis and visualization process is also becoming feasible. We report our efforts to develop a capability, coupled with the Earth System Grid (ESG), for sharing an entire executable workspace of visualization among collaborators. Evolutionary history of visualizations of research findings can also be captured and shared. The data intensive nature of the visualization system requires using several advanced techniques of visualization and parallel computing. With visualization clients implemented through standard web browsers, however, the ensuing complexity is made transparent to end-users. We demonstrate the efficacy of our system using cutting edge climate datasets.
AB - The recent advances in high performance computing, storage and networking technologies have enabled fundamental changes in current climate research. While sharing datasets and results is already common practice in climate modeling, direct sharing of the analysis and visualization process is also becoming feasible. We report our efforts to develop a capability, coupled with the Earth System Grid (ESG), for sharing an entire executable workspace of visualization among collaborators. Evolutionary history of visualizations of research findings can also be captured and shared. The data intensive nature of the visualization system requires using several advanced techniques of visualization and parallel computing. With visualization clients implemented through standard web browsers, however, the ensuing complexity is made transparent to end-users. We demonstrate the efficacy of our system using cutting edge climate datasets.
KW - Climate modeling
KW - Distributed collaborative visualization
KW - Large data visualization
UR - http://www.scopus.com/inward/record.url?scp=50949110800&partnerID=8YFLogxK
U2 - 10.1109/CTS.2008.4543934
DO - 10.1109/CTS.2008.4543934
M3 - Conference contribution
AN - SCOPUS:50949110800
SN - 9781424422494
T3 - 2008 International Symposium on Collaborative Technologies and Systems, CTS'08
SP - 212
EP - 220
BT - 2008 International Symposium on Collaborative Technologies and Systems, CTS'08
T2 - 2008 International Symposium on Collaborative Technologies and Systems, CTS'08
Y2 - 19 May 2008 through 23 May 2008
ER -