Data Analysis Services Group - August 2011

News and Accomplishments

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VAPOR Project

Project information is available at: http://www.vapor.ucar.edu

TG GIG PY6 Award:

Yannick continued testing of the PIOVDC library, discovering during the process that non block-aligned data were not supported. The code is now being generalized to handle this important case. Block-aligned data appear to function correctly now.

Funding for this award was exhausted in August. We're sad to say goodbye to our student assistant for the last two years, Kendall Southwick.

XD Vis Award:

John and Alan gave a tutorial on VAPOR at the TACC Summer Supercomputing Summer Institute. The 2-hour tutorial was attended by ~35 students from around the country, working in a variety of disciplines. We also spent time training TACC staff so that they could teach future VAPOR tutorials themselves.

KISTI Award:

The KISTI contract has finally been executed and work has officially begun on the first year's work. The period of performance runs through Nov. 31, 2011. Hence, there is much  to be done in a very short time period.

Karamjeet has adapted his Python scripts to identify all the grids in MOM data that can be visualized in VAPOR, and to convert these grids to a valid VDC using CDO.  His scripts now work with all the examples of POP and MOM data that we have seen, and correct some problems we have had with some of the data. These prototype scripts will be used to help guide the development of compiled-code POP and MOM4 data translators. A challenge with MOM (and POP) data is that unlike WRF data sets no documentation on MOM/POP output formats appears to exist; we are having to reverse engineer the data translators based on a sample of data sets.

An application was submitted to the CISL RSVP program to support a visitor from KISTI for this fall. The visitor, a MOM4 user, would provide direct guidance on KISTI's needs for MOM and POP data visualization.

Development:

We continue to prepare for the 2.1 release of VAPOR. A decision was made to, for the first time, distribute a beta release of the package before issuing a stable, supported version: a common practice for open source software. The beta will allow us to get important bug fixes into the hands of users who need them more quickly, and will also let us enlist the help of the user community for testing. Mac and Linux installers were created for the release candidates and all VAPOR staff were involved in regression testing. A new, more formal test plan was developed for these purposes.

A number of development items were completed:

Bug fixes:

Outreach and Consulting:

John and Alan demonstrated VAPOR before a group of researchers participating in the Science and Cyberinfrastructure in Africa workshop held at NCAR.

Alma met with Alma Hodzic at ACD and helped her set up a visualization session of WRF-CHEM.  We expect to use this or similar data in a tutorial on WRF-CHEM in a month or two.

Alan met with Mel Shapiro and made several visualizations of unsteady flow in the ERICA storm, such as the animation at

http://vis.ucar.edu/~alan/shapiro/HighETHTop.mov .

Mel is very interested in using vapor’s unsteady flow capability to understand the storm.

Hsaio-Ming Hsu returned from Germany and reported that his collaborators in Hamburg are very pleased about the VAPOR particle traces that he provided them, because these provided a much improved understanding of the air flow that caused the serious pollution problem in eastern Europe a few years ago.

Andy Heymsfeld says that his article about aircraft “punching” holes in clouds, with VAPOR illlustration, was “published with a lot of press” in Science

John gave an invited talk entitled Visualizing High Resolution Climate Simulations to a group of statisticians at the Joint Statistics Meeting, held in Miami Beach.

Software Research Projects

Feature Tracking:

John and Alan revised their IEEE VisWeek manuscript on physically based feature tracking and submitted it to the journal Transactions on Visualization and Computer Graphics. The expanded version of the paper demonstrated the methods application to tracking multiple features simultaneously, better quantified the reliability of the method, and addressed numerous other reviewer comments.

Data Analysis & Visualization Lab Projects

File System Space Management Project

Accounting & Statistics Project

Security & Administration Projects

CISL Projects

Data Transfer Services Project

System Support

Data Analysis & Visualization Clusters

GLADE Storage Cluster

TeraGrid Cluster