ACME Workflow Publications Overview 2016
Explore a collection of publications from the ACME Workflow team in 2016, covering topics such as climate models, compression techniques, snow surface observations, and climate diagnostics. The team, led by Dean N. Williams and Val Anantharaj, includes key contributors like Charles Doutriaux, Aashish Chaudhary, and Sam Fries, among others.
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Workflow Group 2016 Overview and Highlights: Publications and Reports Group Leads: Dean N. Williams and Val Anantharaj Team Leads: Sasha Ames, Bibi Raju, Charles Doutriaux, Aashish Chaudhary, Jim McEnerney, Sam Fries, Matthew Harris, Sterling Baldwin, Lukasz Lacinski, Rachana Ananthakrishnan, Charlie Zender, Jerry Potter
ACME Workflow Publications Dean N. Williams; Charles Doutriaux; Aashish Chaudhary; Sam Fries; Dan Lipsa; Sankhesh Jhaveri; Paul J. Durack; Jeffrey Painter; Denis Nadeau; Thomas Maxwell; Matthew Harris; Jonathan Beezley (2016), UV-CDAT v2.4.0, Zenodo, Geneva, Switzerland, doi:10.5281/zenodo.45136 Dean N. Williams, V. Balaji, Luca Cinquini, S bastien Denvil, Daniel Duffy, Ben Evans, Robert Ferraro, Rose Hansen, Michael Lautenschlager, and Claire Trenham, A Global Repository for Planet-Sized Experiments and Observations , Bulletin of the American Meteorological Society, June 2016, doi: http://dx.doi.org/10.1175/BAMS-D-15-00132.1. Dean N. Williams, et al., U.S. DOE. 2016. 5th Annual Earth System Grid Federation Face-to- Face Conference Report. DOE/SC-0181. U.S. Department of Energy Office of Science. , March 2016, DOI: 10.2172/1253685. Williams, D. N. (2016), Better tools to build better climate models, Eos, 97, doi:10.1029/2016EO045055. Published on 9 February 2016 Gleckler, P. J., C. Doutriaux, P. J. Durack, K. E. Taylor, Y. Zhang, and D. N. Williams, E. Mason, and J. Servonnat (2016), A more powerful reality test for climate models, Eos, 97, DOI: 10.1029/2016EO051663, 3 May 2016. C. A. Steed, K.J. Evans, J.F. Harney, B.C. Jewell, G. Shipman, B.E. Smith, P.E. Thornton, and D.N. Williams (2014) Web-based Visual Analytics for Extreme Scale Climate Science. 2014 IEEE International Conference on Big Data. 2 Department of Energy Office of Science Biological and Environmental Research
ACME Workflow Publications Zender, C. S. (2016), Bit Grooming: Statistically accurate precision-preserving quantization with compression, evaluated in the NetCDF Operators (NCO, v4.4.8+), Geosci. Model Dev., 9, 3199-3211, doi:10.5194/gmd-9-3199-2016. Silver, J. D. and C. S. Zender (2016), Finding the Goldilocks zone: Compression-error trade- off for large gridded datasets, in revision after review, Geosci. Model Dev., doi:10.5194/gmd-2016-177. Wang, W., C. S. Zender, D. van As, P. C. J. P. Smeets, and M. R. van den Broeke (2016), A Retrospective, Iterative, Geometry-Based (RIGB) tilt correction method for radiation observed by automatic weather stations on snow-covered surfaces: application to Greenland, The Cryosphere, 10, 727-741, doi:10.5194/tc-10-727-2016. McEnerney, J. , Ames, S. , Christensen, C. , Doutriaux, C. , Hoang, T. , Painter, J. , Smith, B. , Shaheen, Z. and Williams, D. (2016) Parallelization of Diagnostics for Climate Model Development . Journal of Software Engineering and Applications, 9, 199-207. doi: 10.4236/jsea.2016.95016. Baldwin, S.A, M.B. Harris, and S.B. Fries (2016) Science as a Service, Proceedings of The World Congress on Engineering and Computer Science 2016, Vol. I, WCECS 2016, 21-23 October, 2016, San Francisco, USA, pp123-126 Harris, M.B., S.B. Fries, D.N. Williams, S.A. Baldwin, J.W. Crean, B.J. Sampson, E.M. Brown, A. Paula, M. Pawlicka (2016): The Legend of CDAT: A Link to the Past. Proceedings of the World Congress on Engineering and Computer Science 2016 Vol I WCECS 3 Department of Energy Office of Science Biological and Environmental Research
ACME Workflow Publications Elsethagen T O, Stephan E G, Raju B, Schram M, Macduff M C,Kerbyson D J,Kleese-Van Dam K ,Singh A ,Altintas I 2016. "Data Provenance Hybridization Supporting Extreme-Scale Scientific Workflow Applications" NYSDS 2016 - Data Driven Discovery. Raju B, Elsethagen T O,Stephan E G,Kleese van Dam K 2016. "A Scientific Data Provenance API for Distributed Applications" The 6th International Workshop on Semantic Technologies for Information-Integrated Collaboration. Thomas M, Laskin J, Raju B, Stephan E G, Elsethagen T O, Van NYS , Nguyen S N 2016. "Enabling Re-executable Workflows with Near-real-time Visualization, Provenance Capture and Advanced Querying for Mass Spectrometry Data" NYSDS 2016 - Data-Driven Discovery. McEnerney, J. (2016, accepted) A real Nullstellensatz with multiplicity. Jou.rnal of Pure and Applied Algebra Fiore, S., M. Plociennik, C. Doutriaux, C. Palazzo, J. Boutte, T. Zok, D. Elia, M. Owsiak, A. D Anca, Z. Shaheen, R. Bruno, M Fargetta, M. Caballer, G. Molto, I. Blanquer, R. Barbera, D. N. Williams, V. Anantharaj, and G. Aloisio (2016, accepted) Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the Earth System Grid Federation (ESGF) eco-system. 2016 IEEE Big Data, Washington DC, 5-8 Dec 2016. 4 Department of Energy Office of Science Biological and Environmental Research
ACME Workflow Reports Dean N. Williams, et al., U.S. DOE. 2016. 5th Annual Earth System Grid Federation Face-to- Face Conference Report. DOE/SC-0181. U.S. Department of Energy Office of Science. , March 2016, DOI: 10.2172/1253685. Williams, D.N., et al. (2015) Working Group on Virtual Data Integration: A Report from the August 13 14, 2015, Workshop. DOE/SC-0180. U.S. Department of Energy Office of Science. 5 Department of Energy Office of Science Biological and Environmental Research
