U.S. Department of Energy

Pacific Northwest National Laboratory

Motivation

Core science questions that underpin PRIMA include:

  • How do the intrinsic characteristics of a region enhance or constrain its ability to reduce greenhouse gas emissions or adapt to the impacts of climate change?
  • How do projected changes in mean climate versus climate extremes affect planning and decision making on regional scales?
  • How might interactions between management decisions and natural processes contribute to rapid or nonlinear regional-scale changes?
  • How will mitigation and adaptation strategies interact over the next few decades in terms of achieving their respective goals?

References:

Kraucunas I, L Clarke, J Dirks, J Hathaway, M Hejazi, K Hibbard, M. Huang, C Jin, M Kintner-Meyer, K Kleese van Dam, R Leung, H-Y Li, R Moss, M Peterson, J Rice, M Scott, A Thomson, N Voisin, and T West. 2014. “Investigating the Nexus of Climate, Energy, Water, and Land at Decision-Relevant Scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA).” Climatic Change, Special Issue on Regional Earth System Modeling, eds. Z-L Yang and C Fu. DOI: 10.1007/s10584-014-1064-9.

Hibbard KA and AC Janetos. 2013. “The Regional Nature of Global Challenges: A Need and Strategy for Integrated Regional Modeling.” Climatic Change 118(3-4):565-577. DOI: 10.1007/s10584-012-0674-3.

Many environmentally relevant decisions—from natural resource management to renewable portfolio standards—are made at spatial scales that are not well resolved in global models or without accounting for the full set of interactions among relevant human and natural systems.

PRIMA seeks to explicitly resolve these key processes and interactions and understand how they affect decision makers' ability to manage climate and other environmental and socioeconomic changes at regional scales.



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