Article

Climatic Change

, Volume 129, Issue 3, pp 573-588

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

  • Ian KraucunasAffiliated withPacific Northwest National Laboratory Email author 
  • , Leon ClarkeAffiliated withPacific Northwest National Laboratory
  • , James DirksAffiliated withPacific Northwest National Laboratory
  • , John HathawayAffiliated withPacific Northwest National Laboratory
  • , Mohamad HejaziAffiliated withPacific Northwest National Laboratory
  • , Kathy HibbardAffiliated withPacific Northwest National Laboratory
  • , Maoyi HuangAffiliated withPacific Northwest National Laboratory
  • , Chunlian JinAffiliated withPacific Northwest National Laboratory
  • , Michael Kintner-MeyerAffiliated withPacific Northwest National Laboratory
    • , Kerstin Kleese van DamAffiliated withPacific Northwest National Laboratory
    • , Ruby LeungAffiliated withPacific Northwest National Laboratory
    • , Hong-Yi LiAffiliated withPacific Northwest National Laboratory
    • , Richard MossAffiliated withPacific Northwest National Laboratory
    • , Marty PetersonAffiliated withPacific Northwest National Laboratory
    • , Jennie RiceAffiliated withPacific Northwest National Laboratory
    • , Michael ScottAffiliated withPacific Northwest National Laboratory
    • , Allison ThomsonAffiliated withPacific Northwest National Laboratory
    • , Nathalie VoisinAffiliated withPacific Northwest National Laboratory
    • , Tristram WestAffiliated withPacific Northwest National Laboratory

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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.