Katherine Klise

/Katherine Klise
Katherine Klise


Katherine Klise joined Sandia National Laboratories in 2005 and has contributed to a wide range of research areas, including resilience of drinking water infrastructure, performance monitoring for energy systems, characterization of pore to reservoir scale aquifer heterogeneity, and sensor placement optimization for fugitive emissions. Areas of specialization include spatial heterogeneity and scale dependence, network topography and image analysis, database mining and performance, software development and software quality assurance. She is currently leading a collaborative research project with the Environmental Protection Agency developing custom simulation and optimization software tools for drinking water resilience.

Pecos is an open source Python package designed to automate quality control and performance monitoring of time-series data. The software includes methods to define flexible quality control tests, generate HTML dashboards and reports which include performance metrics, test results, and graphics, and send email alerts to stakeholders. Built on Pandas for time-series analysis and Jinja for report generation, the software was developed specifically for solar photovoltaic system monitoring but is designed for a wide range of applications. Pecos is currently used to monitor solar photovoltaic systems as part of the U.S. DOE Regional Test Centers.

The Water Network Tool for Resilience (WNTR)  is an open source Python package designed to simulate and analyze water distribution networks considering a wide range of disaster scenarios and resilience enhancing actions. WNTR is compatible with the industry standard EPANET and integrates methods to integrate pressure dependent demand hydraulics, fragility curves, resilience metrics, time-series analysis and graphics. WNTR is currently used by the EPA and university researchers to assess resilience of water distribution systems.


•	Klise, K.A., Bynum, M., Moriarty, D., and Murray, R., 2017. A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study, Environmental Modelling & Software, 95, 420-431.
•	Seth, A., Hackebeil, G.A., Klise, K.A., Haxton, T., Murray, R., and Laird, C.D., 2017. Efficient reduction of optimal disinfectant booster station placement formulations for security of large-scale water distribution networks, Engineering Optimization, 49 (8), 1281-1298.
•	Klise, K.A., Moriarty, D., Yoon, H., and Karpyn, Z., 2016. Automated contact angle estimation for three-dimensional X-ray microtomography data, Advances in Water Resources, 95, 152-160.
•	Klise, K.A., and Stein, J.S., 2016. Automated performance monitoring for PV systems using Pecos, In Photovoltaic Specialists Conference (PVSC), 2016 IEEE 43rd, 3431-3435.
•	Torrealba, V.A., Karpyn, Z.T., Yoon, H., Klise, K.A., and Crandall, D., 2016. Pore‐scale investigation on stress‐dependent characteristics of granular packs and the impact of pore deformation on fluid distribution, Geofluids, 16 (1), 198-207.
•	Klise, K.A., Hansen, C.W., and Stein, J.S., 2015. Dependence on geographic location of air mass modifiers for photovoltaic module performance models, In Photovoltaic Specialist Conference (PVSC), 2015 IEEE 42nd, 1-5.
•	Klise, K.A., Phillips, C.A., and Janke, R.J., 2013. Two-tiered sensor placement for large water distribution network models, Journal of Infrastructure Systems, 19 (4), 465-473.
•	Murray, R., Haxton, T., McKenna, S.A., Hart, D.B., Klise, K.A., Koch, M., Vugrin, E.D., Martin, S., Wilson, M., Cruze, V.A., and Cutler, L., 2010. Water quality event detection systems for drinking water contamination warning systems: Development testing and application of CANARY, United States Environmental Protection Agency, EPAI600IR-lOI036, US.	
•	Klise, K.A., Weissmann, G.S., McKenna, S.A., Nichols, E.M., Frechette, J.D., Wawrzyniec, T.F., and Tidwell, V.C., 2009. Exploring solute transport and streamline connectivity using lidar‐based outcrop images and geostatistical representations of heterogeneity, Water Resources Research, 45(5).
•	Klise, K.A., and McKenna, S.A., 2008. Multivariate applications for detecting anomalous water quality, Water Distribution Systems Analysis Symposium 2006, 1-11. 


•	M.S., 2005, Earth and Planetary Sciences, Hydrology/Hydrogeology Concentration, University of New Mexico, Albuquerque, NM.
•	B.S., 2000, Mathematics, Western Washington University, Bellingham, WA.
•	B.S., 2000, Geology, Western Washington University, Bellingham, WA.


•	World Conference on Photovoltaic Energy Conversion Best Paper Award, 2015
•	National Level Exercise Team, Sandia National Laboratory Employee Recognition Award, 2012
•	Federal Laboratories Consortium (FLC) Interagency Partnership Award, Sandia National Laboratories – Environmental Protection Agency, 2011
•	R&D100 award recipient for CANARY Event detection software, 2010