TY - GEN
T1 - Visualizing high-resolution climate data
AU - Voelz, Sheri A.
AU - Taylor, John
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.
PY - 2001
Y1 - 2001
N2 - The complexity of the physics of the atmosphere makes it hard to evaluate the temporal evolution of weather patterns. We are also limited by the available computing power, disk, and memory space. As the technology in hardware and software advances, new tools are being developed to simulate weather conditions to make predictions more accurate. We also need to be able to visualize the data we obtain from climate model runs, to better understand the relationship between the variables driving the evolution of weather systems. Two tools that have been developed to visualize climate data are Vis5D and Cave5D. This paper discusses the process of taking data in the MM5 format, converting it to a format recognized by Vis5D and Cave5D, and then visualizing the data. It also discusses some of the changes we have made in these programs, including making Cave5D more interactive and rewriting Cave5D and Vis5D to use larger data files. Finally, we discuss future research concerning the use of these programs.
AB - The complexity of the physics of the atmosphere makes it hard to evaluate the temporal evolution of weather patterns. We are also limited by the available computing power, disk, and memory space. As the technology in hardware and software advances, new tools are being developed to simulate weather conditions to make predictions more accurate. We also need to be able to visualize the data we obtain from climate model runs, to better understand the relationship between the variables driving the evolution of weather systems. Two tools that have been developed to visualize climate data are Vis5D and Cave5D. This paper discusses the process of taking data in the MM5 format, converting it to a format recognized by Vis5D and Cave5D, and then visualizing the data. It also discusses some of the changes we have made in these programs, including making Cave5D more interactive and rewriting Cave5D and Vis5D to use larger data files. Finally, we discuss future research concerning the use of these programs.
UR - http://www.scopus.com/inward/record.url?scp=84949656241&partnerID=8YFLogxK
U2 - 10.1007/3-540-45545-0_30
DO - 10.1007/3-540-45545-0_30
M3 - Conference contribution
SN - 3540422323
SN - 9783540422327
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 212
EP - 220
BT - Computational Science - ICCS 2001 - International Conference, 2001, Proceedings
A2 - Alexandrov, Vassil N.
A2 - Dongarra, Jack J.
A2 - Juliano, Benjoe A.
A2 - Renner, René S.
A2 - Kenneth Tan, C.J.
PB - Springer Verlag
T2 - International Conference on Computational Science, ICCS 2001
Y2 - 28 May 2001 through 30 May 2001
ER -