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Staff information

Jennie

Jennie Rice

Regional and Cloud Modeling
Earth Scientist

Biography

Jennie Rice is a senior research scientist with a background in decision sciences, economics, and systems engineering. She is the Principal Investigator for the Integrated Multisector, Multiscale Modeling (IM3) Science Focus Area for DOE/Office of Science. The goal of IM3 is to develop flexible, open-source, and integrated modeling capabilities that capture the structure, dynamic behavior, and emergent properties of the multiscale interactions within and between human and natural systems. IM3 prioritizes coupling process-based models to explore multisector dynamics, vulnerability, and resilience from local to continental scales. Jennie previously worked for PNNL from 2009-2015 leading model integration and demonstration for the Platform for Regional Integrated Modeling and Analysis (PRIMA), a large 5-year LDRD project. In addition to her basic science research background, she has extensive experience providing applied risk and uncertainty analyses in consulting and contract research. Her domain experience includes climate change mitigation and adaptation planning, electricity capacity expansion planning, water resource management, weather risk management, and urban and land use planning.

Research Interests

  • Multisector Dynamics
  • Uncertainty Characterization
  • Decision Analysis
  • Vulnerability Assessment
  • Resilience Modeling

Education and Credentials

  • M.S., Management Science and Engineering, Stanford University
  • B.A., Science, Technology, and Society; Honors in Humanities, Stanford University

Affiliations and Professional Service

  • Society for Risk Analysis
  • American Geophysical Union

PNNL Publications

2024

  • Ferencz S.B., N. Sun, S. Turner, B. Smith, and J.S. Rice. 2024. "Multisectoral analysis of drought impacts and management responses to the 2008-2015 record drought in the Colorado Basin, Texas." Natural Hazards and Earth System Sciences 24, no. 5:1871-1896. PNNL-SA-186691. doi:10.5194/nhess-24-1871-2024
  • Linck N.A., J.S. Rice, F.E. Hossfeld, S.A. Rose, A.P. Stein, and B.W. Tarekegne. 2024. "One-Size-Fits-All? Top-Down U.S. Approach to Equitable Decarbonization Does Not Fully Address State and Community-Scale Perspectives." The Electricity Journal 37, no. 6:Art. No. 107415. PNNL-SA-189907. doi:10.1016/j.tej.2024.107415
  • Mongird K., J.S. Homer, J.S. Rice, and K. Oikonomou. 2024. Water & Energy Interdependencies Across Economic Sectors of the United States. PNNL-36021. Richland, WA: Pacific Northwest National Laboratory. Water & Energy Interdependencies Across Economic Sectors of the United States

2023

  • Mongird K., J.S. Rice, K. Oikonomou, and J.S. Homer. 2023. "Energy-water interdependencies across the three major United States electric grids: a multi-sectoral analysis." Utilities Policy 85. PNNL-SA-175036. doi:10.1016/j.jup.2023.101673
  • Yan H., N. Sun, H.A. Eldardiry, T.B. Thurber, P. Reed, K. Malek, and R. Gupta, et al. 2023. "Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States." Scientific Data 10. PNNL-SA-177243. doi:10.1038/s41597-023-02049-7
  • Yan H., N. Sun, H.A. Eldardiry, T.B. Thurber, P. Reed, K. Malek, and R. Gupta, et al. 2023. "Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5)." Journal of Advances in Modeling Earth Systems 15, no. 5:Art. No. e2022MS003312. PNNL-SA-175184. doi:10.1029/2022MS003312

2022

  • McGrath C.R., C.D. Burleyson, Z. Khan, A. Rahman, T.B. Thurber, C.R. Vernon, and N. Voisin, et al. 2022. "tell: A Python package to model future total electricity loads." Journal of Open Source Software 7, no. 79:4472. PNNL-SA-173932. doi:10.21105/joss.04472
  • Mongird K., K. Oikonomou, J.S. Homer, and J.S. Rice. 2022. "interflow: A Python package to organize, calculate, and evaluate cross-sectoral resource interdependency data." Journal of Open Source Software 7, no. 74:4336. PNNL-SA-171534. doi:10.21105/joss.04336
  • Reed P., A. Hadjimichael, K. Malek, T. Karimi, C.R. Vernon, V.A. Srikrishnan, and R. Gupta, et al. 2022. Addressing Uncertainty in MultiSector Dynamics Research. Columbus, Ohio:Battelle Memorial Institute. PNNL-SA-166911. doi:10.5281/zenodo.6110623

2021

  • Burleyson C.D., A. Rahman, J.S. Rice, A.D. Smith, and N. Voisin. 2021. "Multiscale Effects Masked the Impact of the COVID-19 Pandemic on Electricity Demand in the United States." Applied Energy 304. PNNL-SA-162206. doi:10.1016/j.apenergy.2021.117711
  • Cohen S., G.C. Iyer, M. Brown, J. Macknick, M.A. Wise, M.T. Binsted, and N. Voisin, et al. 2021. "How structural differences influence cross-model consistency: An electric sector case study." Renewable & Sustainable Energy Reviews 144. PNNL-SA-149703. doi:10.1016/j.rser.2021.111009
  • Homer J.S., J.S. Rice, K. Mongird, and K. Oikonomou. 2021. Coordination and Planning for Water and Power System Resilience - Workshop Report. PNNL-31880. Richland, WA: Pacific Northwest National Laboratory. Coordination and Planning for Water and Power System Resilience - Workshop Report
  • Nelson K.D., S. Turner, C.R. Vernon, and J.S. Rice. 2021. "gamut: A Geospatial R Package to Analyze Multisectoral Urban Teleconnections." Journal of Open Source Software 6, no. 66:Art. No. 3383. PNNL-SA-161635. doi:10.21105/joss.03383
  • Oikonomou K., K. Mongird, J.S. Rice, and J.S. Homer. 2021. "Resilience of Interdependent Water and Power Systems: A Literature Review and Conceptual Modeling Framework." Water 13, no. 20:Art. No. 2846. PNNL-SA-165703. doi:10.3390/w13202846
  • Turner S., J.S. Rice, K.D. Nelson, C.R. Vernon, R. Mcmanamay, K. Dickson, and L. Marston. 2021. "Comparison of potential drinking water source contamination across one hundred U.S. cities." Nature Communications 12. PNNL-SA-160268. doi:10.1038/s41467-021-27509-9
  • Vernon C.R., J.S. Rice, N. Zuljevic, K. Mongird, K.D. Nelson, G.C. Iyer, and N. Voisin, et al. 2021. "cerf: A Python package to evaluate the feasibility and costs of power plant siting for alternative futures." Journal of Open Source Software 6, no. 65:Art. No. 3601. PNNL-SA-164611. doi:10.21105/joss.03601

2020

  • Burleyson C.D., G.C. Iyer, M.I. Hejazi, S.H. Kim, P. Kyle, J.S. Rice, and A.D. Smith, et al. 2020. "Future western U.S. building electricity consumption in response to climate and population drivers: A comparative study of the impact of model structure." Energy 208. PNNL-SA-151017. doi:10.1016/j.energy.2020.118312

2018

  • Vernon C.R., J.S. Rice, N. Zuljevic, T.E. Seiple, M. Kintner-Meyer, C. Jin, and J. Olson, et al. 2018. "CERF - A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility." Journal of Open Research Software. PNNL-SA-125186. doi:10.5334/jors.227
  • Vernon C.R., N. Zuljevic, J.S. Rice, T.E. Seiple, M. Kintner-Meyer, N. Voisin, and I.P. Kraucunas, et al. 2018. "CERF - A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility." Journal of Open Research Software 6, no. 1:20. PNNL-SA-133523. doi:10.5334/jors.227

2016

  • Ke X., D. Wu, J.S. Rice, M.C. Kintner-Meyer, and N. Lu. 2016. "Quantifying impacts of heat waves on power grid operation." Applied Energy 183. PNNL-SA-116806. doi:10.1016/j.apenergy.2016.08.188
  • Scott M.J., D.S. Daly, M.I. Hejazi, P. Kyle, L. Liu, H.C. McJeon, and A. Mundra, et al. 2016. "Sensitivity of Future U.S. Water Shortages to Socioeconomic and Climate Drivers: A Case Study in Georgia Using an Integrated Human-Earth System Modeling Framework." Climatic Change 136, no. 2:233-246. PNNL-SA-105762. doi:10.1007/s10584-016-1602-8

2015

  • Dirks J.A., W.J. Gorrissen, J.E. Hathaway, D.C. Skorski, M.J. Scott, T.C. Pulsipher, and M. Huang, et al. 2015. "Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach." Energy 79. PNNL-SA-94630. doi:10.1016/j.energy.2014.08.081
  • Hejazi M.I., N. Voisin, L. Liu, L.M. Bramer, D.C. Fortin, J.E. Hathaway, and M. Huang, et al. 2015. "21st Century United States Emissions Mitigation Could Increase Water Stress more than the Climate Change it is Mitigating." Proceedings of the National Academy of Sciences (PNAS) 112, no. 34:10635-10640. PNNL-SA-105956. doi:10.1073/pnas.1421675112
  • Kraucunas I.P., L.E. Clarke, J.A. Dirks, J.E. Hathaway, M.I. Hejazi, K.A. Hibbard, and M. Huang, et al. 2015. "Investigating the Nexus of Climate, Energy, Water, and Land at Decision-Relevant Scales: The Platform for Regional Integrated Modeling and Analysis (PRIMA)." Climatic Change 129, no. 3-4:573-588. PNNL-SA-93553. doi:10.1007/s10584-014-1064-9
  • Li H., L. Leung, T.K. Tesfa, N. Voisin, M.I. Hejazi, L. Liu, and Y. Liu, et al. 2015. "Modeling stream temperature in the Anthropocene: An earth system modeling approach." Journal of Advances in Modeling Earth Systems 7, no. 4:1661-1679. PNNL-SA-109347. doi:10.1002/2015MS000471
  • Scott M.J., D.S. Daly, J.E. Hathaway, C.S. Lansing, Y. Liu, H.C. McJeon, and R.H. Moss, et al. 2015. "Calculating Impacts of Energy Standards on Energy Demand in U.S. Buildings with Uncertainty in an Integrated Assessment Model." Energy 90, no. Part 2:1682-1694. PNNL-SA-102017. doi:10.1016/j.energy.2015.06.127

2014

  • de Bremond A., B. Preston, and J.S. Rice. 2014. "Improving the Usability of Integrated Assessment for Adaptation Practice: Insights from the U.S. Southeast Energy Sector." Environmental Science & Policy 42. PNNL-SA-98273. doi:10.1016/j.envsci.2014.05.004
  • Scott M.J., D.S. Daly, M.I. Hejazi, P. Kyle, L. Liu, H.C. McJeon, and A. Mundra, et al. 2014. "Use of a State-Level Integrated Assessment Model for Policy Analysis: An Uncertainty Analysis of Energy and Water." In Association for Public Policy Analysis and Management (APPAM), Fall Research Conference, November 6-8, 2014, Albuquerque, NM. Washington, District Of Columbia:Association for Public Policy Analysis and Management. PNNL-SA-105963.
  • Scott M.J., D.S. Daly, Y. Zhou, J.S. Rice, P.L. Patel, H.C. McJeon, and P. Kyle, et al. 2014. "Evaluating sub-national building-energy efficiency policy options under uncertainty: Efficient sensitivity testing of alternative climate, technolgical, and socioeconomic futures in a regional intergrated-assessment model." Energy Economics 43, no. 2014:22-33. PNNL-SA-92108. doi:10.1016/j.eneco.2014.01.012
  • Zhou Y., L.E. Clarke, J. Eom, P. Kyle, P.L. Patel, S.H. Kim, and J.A. Dirks, et al. 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework." Applied Energy 113. PNNL-SA-94232. doi:10.1016/j.apenergy.2013.08.034

2012

  • Rice J.S., R.H. Moss, P.J. Runci, K.L. Anderson, and E.L. Malone. 2012. "Incorporating Stakeholder Decision Support Needs into an Integrated Regional Earth System Model." Mitigation and Adaptation Strategies for Global Change 17, no. 7:805-819. PNNL-SA-84366. doi:10.1007/s11027-011-9345-3

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