CLOUD
PNNL supports DHS Program
The Department of Energy's has been named a supporting Laboratory to the National Infrastructure Simulation and Analysis Center. is a Department of Homeland Security program that addresses the potential vulnerabilities and consequences of disruption of our nation's critical infrastructure.
NISAC coordinates computational capabilities, and modeling and analysis expertise to discover relationships and develop insights about infrastructure vulnerabilities in the case of natural disasters, and both intentional and accidental manmade events.
"NISAC recognizes PNNL's in depth analytic capabilities in critical infrastructure," said Alan Berscheid, NISAC principal investigator at PNNL. "The expertise can be used to simulate events ranging from hurricanes to terrorist attacks and to predict and track potential impacts to critical facilities and the economy."
PNNL will contribute advanced supercomputer modeling and simulation capabilities to look at the dependencies, interdependencies, vulnerabilities, and complexities such as dams, water, transportation, energy and information technology.
PNNL's expertise in also will assist NISAC analysts by creating more dynamic representations of threats, vulnerabilities and consequences of disruptive events.
"The establishment of PNNL as a NISAC laboratory is indicative of PNNL's ongoing commitment to DHS's mission to protect and defend our nation's critical infrastructure by aiding decision makers in the areas of policy analysis, investment and mitigation planning, education and training and near real-time assistance to crisis response organizations," said PNNL program director Tim McPherson.
McPherson was recently hired to expand the application of PNNL's capabilities in this area. He has been working in critical infrastructure analysis for more than 15 years with federal partners in the Department of Homeland Security, the Department of Energy and the Department of Defense. Alan Berscheid recently joined the laboratory with more than 20 years of experience in infrastructure analytics.
