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CHPC - Research Computing and Data 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 and data 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.

If you are new to CHPC, the best place to start to get more information on CHPC resources and policies is our Getting Started page.

Upcoming Events:

Allocation Requests for Summer 2024 are Due June 1st, 2024

Posted May 1st, 2024


CHPC Downtime: Tuesday March 5 starting at 7:30am

Posted February 8th, 2024


Two upcoming security related changes

Posted February 6th, 2024


Allocation Requests for Spring 2024 are Due March 1st, 2024

Posted February 1st, 2024


CHPC ANNOUNCEMENT: Change in top level home directory permission settings

Posted December 14th, 2023


CHPC Spring 2024 Presentation Schedule Now Available

CHPC PE DOWNTIME: Partial Protected Environment Downtime  -- Oct 24-25, 2023

Posted October 18th, 2023


CHPC INFORMATION: MATLAB and Ansys updates

Posted September 22, 2023


CHPC SECURITY REMINDER

Posted September 8th, 2023

CHPC is reaching out to remind our users of their responsibility to understand what the software being used is doing, especially software that you download, install, or compile yourself. Read More...

News History...

 

figure 1

Turning Weather and Climate Research into Actionable Science

By Jon Meyer

Utah Climate Center, Department of Plants, Soils, and Climate, Utah State University

The Utah Climate Center, hosted by the College of Agriculture and Applied Sciences at Utah State University, serves a mission of weather and climate ‘research-to-operations’ (R2O). Within the backdrop of changing climate, the R2O initiative is meant to help facilitate academic endeavors that are focused on actionable science products. R2O is well suited to address the dynamic and ever-changing suite of climate service needs at the state and federal level.

Compute nodes on the NOTCHPEAK partition are employed by the Utah Climate Center to handle the collection of automated software platforms designed to perform external data ingestion and processing or run computationally intensive real-time operational forecast modeling. In the face of the recent extreme drought, the Utah Climate Center has focused on building a comprehensive Utah Drought Dashboard to better monitor and assess drought conditions. This dashboard (viewable at https://climate.usu.edu/service/index.php) integrates numerous internal and external sources of weather and climate information into a ‘one stop shop’ website. CHPC resources have shouldered a great deal of the computational backend needed to monitor drought conditions, with the recent implementation of real-time soil moisture mapping being a major accomplishment. Each day, station data is downloaded and quality controlled. Final form data points are directed to the Utah Climate Center’s servers, where daily maps of soil moisture conditions are hosted. The figure shows an example of the color-coded daily soil moisture observations. Behind this daily soil moisture map is a process that involves CHPC software that tabulates hourly soil moisture observations from approximately 225 surface weather station locations. 

In addition to data mining and processing, the Utah Climate Center also conducts real-time operational forecast modeling. While numerous forecast models are operated by NCEP, Utah’s complex terrain and intricate climate processes limit a great deal of forecast fidelity by the national models. CHPC resources allow the Utah Climate Center’s in-house modeling platforms to more closely focus on Utah’s highly nuanced weather patterns through a methodology called dynamic downscaling. Dynamic downscaling uses forecasted conditions from a coarse-resolution ‘parent’ forecast model to supply initial and boundary conditions for a higher resolution forecast domain placed inside the parent domain’s coverage. With complex terrain, the high resolution is especially important for Utah and leads to a much improved representation of weather and climate patterns.

For more information, see our Summer 2022 Newsletter.



 

System Status

General Environment

last update: 2024-06-01 04:03:04
General Nodes
system cores % util.
kingspeak 887/972 91.26%
notchpeak 1596/3148 50.7%
lonepeak 2388/3104 76.93%
Owner/Restricted Nodes
system cores % util.
ash 144/1152 12.5%
notchpeak 17703/19448 91.03%
kingspeak 2576/5340 48.24%
lonepeak 8/416 1.92%

Protected Environment

last update: 2024-06-01 04:00:05
General Nodes
system cores % util.
redwood 478/616 77.6%
Owner/Restricted Nodes
system cores % util.
redwood 250/6380 3.92%


Cluster Utilization

Last Updated: 5/1/24