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Title: gcamdata: An R Package for Preparation, Synthesis, and Tracking of Input Data for the GCAM Integrated Human-Earth Systems Model

Journal Article · · Journal of Open Research Software
DOI: https://doi.org/10.5334/jors.232 · OSTI ID:1503168
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  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Inst.
  2. Univ. of California, Los Angeles, CA (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Inst.; American Univ., Washington, DC (United States)
  4. Stanford Univ., CA (United States)
  5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Inst.; Pontifical Catholic Univ. of Valparaiso (Chile)
  6. Columbia Univ., New York, NY (United States)

The increasing data requirements of complex models demand robust, reproducible, and transparent systems to track and prepare models’ inputs. Here we describe version 1.0 of the gcamdata R package that processes raw inputs to produce the hundreds of XML files needed by the GCAM integrated human-earth systems model. It features extensive functional and unit testing, data tracing and visualization, and enforces metadata, documentation, and flexibility in its component data-processing subunits. Although this package is specific to GCAM, many of its structural pieces and approaches should be broadly applicable to, and reusable by, other complex model/data systems aiming to improve transparency, reproducibility, and flexibility.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Fossil Energy (FE); USDOE Office of Nuclear Energy (NE); USDOE Office of Energy Efficiency and Renewable Energy (EERE); USEPA
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1503168
Report Number(s):
PNNL-SA-135553
Journal Information:
Journal of Open Research Software, Vol. 7, Issue 1; ISSN 2049-9647
Publisher:
Software Sustainability InstituteCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems journal January 2019

Figures / Tables (3)