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)

Authors

    • Pacific Northwest National Laboratory
  • Leon Clarke
    • Pacific Northwest National Laboratory
  • James Dirks
    • Pacific Northwest National Laboratory
  • John Hathaway
    • Pacific Northwest National Laboratory
  • Mohamad Hejazi
    • Pacific Northwest National Laboratory
  • Kathy Hibbard
    • Pacific Northwest National Laboratory
  • Maoyi Huang
    • Pacific Northwest National Laboratory
  • Chunlian Jin
    • Pacific Northwest National Laboratory
  • Michael Kintner-Meyer
    • Pacific Northwest National Laboratory
  • Kerstin Kleese van Dam
    • Pacific Northwest National Laboratory
  • Ruby Leung
    • Pacific Northwest National Laboratory
  • Hong-Yi Li
    • Pacific Northwest National Laboratory
  • Richard Moss
    • Pacific Northwest National Laboratory
  • Marty Peterson
    • Pacific Northwest National Laboratory
  • Jennie Rice
    • Pacific Northwest National Laboratory
  • Michael Scott
    • Pacific Northwest National Laboratory
  • Allison Thomson
    • Pacific Northwest National Laboratory
  • Nathalie Voisin
    • Pacific Northwest National Laboratory
  • Tristram West
    • Pacific Northwest National Laboratory
Article

DOI: 10.1007/s10584-014-1064-9

Cite this article as:
Kraucunas, I., Clarke, L., Dirks, J. et al. Climatic Change (2015) 129: 573. doi:10.1007/s10584-014-1064-9

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 information

© Springer Science+Business Media Dordrecht 2014