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CHPC - Research Computing Support for the University

In addition to deploying and operating high performance computational resources and providing advanced user support and training, CHPC serves as an expert team to broadly support the increasingly diverse research computing needs on campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking. Visit our Getting Started page for more information.

Analyzing and Predicting Stream Properties

By Milada Majerova and Bethany Neilson, Utah Water Research Laboratory, Utah State University

The stream temperature regime is an important and very complex component of habitat quality. With introducing beaver dams in to the system and thus changing stream hydraulic properties, the processes become even more complicated and difficult to predict. Beaver dams increase spatial and temporal variability in temperature and flow, as well as increase baseflow and groundwater gains during summer months. This variability could play an important role for fish and other aquatic organisms under changing conditions when summers are predicted to be hotter and longer with less precipitation throughout the year. Stream temperature quantification and modeling then becomes an essential tool in order to better understand, predict and manage our stream systems. CHPC resources play an indispensable role in the modeling effort of capturing and predicting the stream hydraulic properties and temperature variability.

System Status

last update: 02/18/18 11:13 pm
General Nodes
system cores % util.
ember 504/984 51.22%
kingspeak 808/864 93.52%
lonepeak 808/1100 73.45%
Restricted Nodes
system cores % util.
ash 5980/5980 100%
apexarch Status Unavailable
ember 1196/1196 100%
kingspeak 5396/5480 98.47%
lonepeak 400/400 100%

Cluster Utilization

Last Updated: 2/16/18