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Investigating the nexus of climate, energy, water, and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA)

Author

Listed:
  • Ian Kraucunas
  • Leon Clarke
  • James Dirks
  • John Hathaway
  • Mohamad Hejazi
  • Kathy Hibbard
  • Maoyi Huang
  • Chunlian Jin
  • Michael Kintner-Meyer
  • Kerstin Dam
  • Ruby Leung
  • Hong-Yi Li
  • Richard Moss
  • Marty Peterson
  • Jennie Rice
  • Michael Scott
  • Allison Thomson
  • Nathalie Voisin
  • Tristram West

Abstract

The Platform for Regional Integrated Modeling and Analysis (PRIMA) is an innovative modeling system developed at Pacific Northwest National Laboratory (PNNL) to simulate interactions among natural and human systems at scales relevant to regional decision making. PRIMA brings together state-of-the-art models of regional climate, hydrology, agriculture and land use, socioeconomics, and energy systems using a flexible coupling approach. Stakeholder decision support needs underpin the application of the platform to regional issues, and an uncertainty characterization process is used to identify robust decisions. The platform can be customized to inform a variety of complex questions, such as how a policy in one sector might affect the ability to meet climate mitigation targets or adaptation goals in another sector. Current numerical experiments focus on the eastern United States, but the framework is designed to be regionally flexible. This paper provides a high-level overview of PRIMA’s functional capabilities and describes some key challenges and opportunities associated with integrated regional modeling. Copyright Springer Science+Business Media Dordrecht 2015

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  • Ian Kraucunas & Leon Clarke & James Dirks & John Hathaway & Mohamad Hejazi & Kathy Hibbard & Maoyi Huang & Chunlian Jin & Michael Kintner-Meyer & Kerstin Dam & Ruby Leung & Hong-Yi Li & Richard Moss &, 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, Springer, vol. 129(3), pages 573-588, April.
    • Handle: RePEc:spr:climat:v:129:y:2015:i:3:p:573-588
    DOI: 10.1007/s10584-014-1064-9
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    1. Scott, Michael J. & Daly, Don S. & Zhou, Yuyu & Rice, Jennie S. & Patel, Pralit L. & McJeon, Haewon C. & Page Kyle, G. & Kim, Son H. & Eom, Jiyong & Clarke, Leon E., 2014. "Evaluating sub-national building-energy efficiency policy options under uncertainty: Efficient sensitivity testing of alternative climate, technological, and socioeconomic futures in a regional integr," Energy Economics, Elsevier, vol. 43(C), pages 22-33.
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