Skip to main content
Have a personal or library account? Click to login
gcamdata: An R Package for Preparation, Synthesis, and Tracking of Input Data for the GCAM Integrated Human-Earth Systems Model Cover

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

Open Access
|Mar 2019

References

  1. Adams, J 2012 Collaborations: The rise of research networks. Nature, 490: 335336. DOI: 10.1038/490335a
  2. Wilson, G, Aruliah, D A, Brown, C T, et al. 2014 Best practices for scientific computing. PLoS Biol, 12: e1001745. DOI: 10.1371/journal.pbio.1001745
  3. Thornton, P E, Cook, R B, Braswell, B H, et al. 2005 Archiving numerical models of biogeochemical dynamics. EOS, 86: 431432. DOI: 10.1029/2005EO440003
  4. Ince, D C, Hatton, L and Graham-Cumming, J 2012 The case for open computer programs. Nature, 482: 485488. DOI: 10.1038/nature10836
  5. Peng, R D 2011 Reproducible research in computational science. Science, 334: 12261227. DOI: 10.1126/science.1213847
  6. Hengl, T, Mendes de Jesus, J, MacMillan, R A, et al. 2014 SoilGrids1km — global soil information based on automated mapping. PLoS One, 9: e114788. DOI: 10.1371/journal.pone.0105992
  7. Hoesly, R M, Smith, S J, Feng, L, et al. 2018 Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geoscientific Model Development, 11: 369408. DOI: 10.5194/gmd-11-369-2018
  8. Rodell, M, Houser, P R, Jambor, U, et al. 2004 The Global Land Data Assimilation System. Bull Am Meteorol Soc, 85: 381394. DOI: 10.1175/BAMS-85-3-381
  9. van Vuuren, D P, Bayer, L B, Chuwah, C, et al. 2012 A comprehensive view on climate change: Coupling of earth system and integrated assessment models. Environ Res Lett, 7. DOI: 10.1088/1748-9326/7/2/024012
  10. van Vuuren, D P, Lowe, J A, Stehfest, E, et al. 2011 How well do integrated assessment models simulate climate change? Clim Change, 104: 255285. DOI: 10.1007/s10584-009-9764-2
  11. Calvin, K, Bond-Lamberty, B, Clarke, L, et al. (2017/1) The SSP4: A world of deepening inequality. Glob Environ Change, 42: 284296. DOI: 10.1016/j.gloenvcha.2016.06.010
  12. Kim, S H, Edmonds, J A, Lurz, J, et al. 2006 The ObjECTS framework for integrated assessment: Hybrid modeling of transportation. Energy J, 27: 6391. DOI: 10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI2-4
  13. Kyle, G P, Luckow, P, Calvin, K V, et al. 2011 GCAM 3.0 Agriculture and Land Use: Data Sources and Methods. College Park, MD: Pacific Northwest National Laboratory. DOI: 10.2172/1036082
  14. R Development Core Team 2017 R: A language and environment for statistical computing. Version 3.3.3.
  15. Tippmann, S 2014 Programming tools: Adventures with R. Nature, 517: 109110. DOI: 10.1038/517109a
  16. Marwick, B, Boettiger, C and Mullen, L 2017 Packaging data analytical work reproducibly using R (and friends). PeerJ Preprints.
  17. Heidorn, P B 2008 Shedding Light on the Dark Data in the Long Tail of Science. Libr Trends, 57: 280299. DOI: 10.1353/lib.0.0036
  18. IEA 2012 Energy Balances of non-OECD Countries 2012. International Energy Agency.
  19. Buneman, P, Khanna, S and Tan, W-C 2000 Data Provenance: Some Basic Issues. In: FST TCS 2000: Foundations of Software Technology and Theoretical Computer Science, 8793. Berlin Heidelberg: Springer. DOI: 10.1007/3-540-44450-5_6
  20. Zhao, J 2003 Data-flow-based unit testing of aspect-oriented programs. In: Proceedings 27th Annual International Computer Software and Applications Conference, 188197. COMPAC 2003. DOI: 10.1109/CMPSAC.2003.1245340
  21. Humble, J and Farley, D 2010 Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Pearson Education.
  22. van Vuuren, D P, Edmonds, J, Kainuma, M, et al. 2011 The representative concentration pathways: An overview. Clim Change, 109: 5. DOI: 10.1007/s10584-011-0148-z
  23. Krey, V 2014 Global energy-climate scenarios and models: A review. WIREs Energy Environ, 3: 363383. DOI: 10.1002/wene.98
  24. Wang, D, Xu, Y, Thornton, P, et al. 2014 A functional test platform for the Community Land Model. Environmental Modelling & Software, 55: 2531. DOI: 10.1016/j.envsoft.2014.01.015
DOI: https://doi.org/10.5334/jors.232 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jun 2, 2018
Accepted on: Feb 18, 2019
Published on: Mar 14, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Ben Bond-Lamberty, Kalyn Dorheim, Ryna Cui, Russell Horowitz, Abigail Snyder, Katherine Calvin, Leyang Feng, Rachel Hoesly, Jill Horing, G. Page Kyle, Robert Link, Pralit Patel, Christopher Roney, Aaron Staniszewski, Sean Turner, Min Chen, Felip Feijoo, Corinne Hartin, Mohamad Hejazi, Gokul Iyer, Sonny Kim, Yaling Liu, Cary Lynch, Haewon McJeon, Steven Smith, Stephanie Waldhoff, Marshall Wise, Leon Clarke, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.