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A hierarchical evaluation framework for assessing climate simulations relevant to the energy-water-land nexus (Final Report)

Technical Report ·
DOI:https://doi.org/10.2172/1828286· OSTI ID:1828286
 [1];  [2];  [3];  [4];  [5];  [6]
  1. Iowa State Univ., Ames, IA (United States)
  2. Iowa State Univ., Ames, IA (United States); (deceased)
  3. Univ. of California, Los Angeles, CA (United States)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. Cornell Univ., Ithaca, NY (United States)

The overarching goal was to construct a hierarchy of new and well-tested metrics and analysis tools that support both fundamental and use-inspired research. Motivating this goal was a convergence of needs from climate scientists and stakeholders alike for a systematic, robust framework of model evaluation and diagnosis to provide scientific insights, inform model development, support best practices for the use of climate model outputs, and facilitate communication of climate information in the evolving landscapes of multi-model, multi-resolution, and large ensemble simulations that generate terabytes of data for any single climate run. Steps toward attaining these goals benefited from expertise and established capability of the project team, which included leadership of the North American Regional Climate Change Assessment Program (NARCCAP) and the Coordinated Regional Downscaling Experiment (CORDEX), development of hierarchical model evaluation approaches, and successful research in the analysis and diagnosis of climate model skill, as well as the understanding and modeling of regional climate processes in North America. As part of the overarching goal, the project worked to disseminate a suite of methodologies, algorithms, and software components that the wider community can employ to advance climate science and applications. With rigorous demonstration, the evaluation framework and the mix of standard and high risk / high reward approaches helped form the basis for future development of a computationally enabled user-friendly system for community use.

Research Organization:
Iowa State Univ., Ames, IA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
DOE Contract Number:
SC0016438
OSTI ID:
1828286
Report Number(s):
DOE-IOWASTATE-SC0016438
Country of Publication:
United States
Language:
English