aci-ref.org

Modeling cloud systems

“My research group recently became interested in using a program called VAPOR (www.vapor.ucar.edu) to help us easily and interactively visualize the results of large numerical simulations of cloud systems. We wanted to find a way to run VAPOR on one of our CHPC nodes and display the GUI remotely. That way we would need only a single copy of the model output files, which use several TBs of disk storage, yet allow anyone to run the program to analyze those files and view the GUI on his own desktop or laptop computer. Brian Haymore and Anita Orendt met with my group several times over the course of a week or two to explore ways to meet our requirements, and eventually found a good solution.” – Steven Krueger, University of Utah Faculty, on Utah ACI-REF Anita Orendt

Visualization of a simulation of tropical oceanic thunderstorms made with software called VAPOR. An isosurface of temperature (gray) is the background for vertical velocity displayed in color. Updrafts with a speed greater than 1 m/s are illustrated in warm colors, downdrafts stronger than -1 m/s in blue. The simulation itself was performed by the NSF Center for Multiscale Modeling of Atmospheric Processes (CMMAP) to examine statistics of clouds and their structure to improve their representation in climate models. Visualization was performed remotely via support and resources from the Center for High Performance Computing at the University of Utah which are gratefully acknowledged.
Visualization of a simulation of tropical oceanic thunderstorms made with software called VAPOR. An isosurface of temperature (gray) is the background for vertical velocity displayed in color. Updrafts with a speed greater than 1 m/s are illustrated in warm colors, downdrafts stronger than -1 m/s in blue. The simulation itself was performed by the NSF Center for Multiscale Modeling of Atmospheric Processes (CMMAP) to examine statistics of clouds and their structure to improve their representation in climate models. Visualization was performed remotely via support and resources from the Center for High Performance Computing at the University of Utah which are gratefully acknowledged.

ckoch

,
, , ,