S
Sterling Baldwin
Researcher at Lawrence Livermore National Laboratory
Publications - 3
Citations - 455
Sterling Baldwin is an academic researcher from Lawrence Livermore National Laboratory. The author has an hindex of 2, co-authored 3 publications receiving 230 citations.
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Journal ArticleDOI
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
Jean-Christophe Golaz,Peter M. Caldwell,Luke Van Roekel,Mark R. Petersen,Qi Tang,Jonathan Wolfe,G. W. Abeshu,Valentine G. Anantharaj,Xylar Asay-Davis,David C. Bader,Sterling Baldwin,Gautam Bisht,Peter A. Bogenschutz,Marcia L. Branstetter,Michael A. Brunke,Steven R. Brus,Susannah M. Burrows,Philip Cameron-Smith,Aaron S. Donahue,Michael Deakin,Michael Deakin,Richard C. Easter,Katherine J. Evans,Yan Feng,Mark Flanner,James G. Foucar,Jeremy Fyke,Brian M. Griffin,Cecile Hannay,Bryce E. Harrop,Mattthew J. Hoffman,Elizabeth Hunke,Robert Jacob,Douglas W. Jacobsen,Nicole Jeffery,Philip W. Jones,Noel Keen,Stephen A. Klein,Vincent E. Larson,L. Ruby Leung,Hongyi Li,Wuyin Lin,William H. Lipscomb,William H. Lipscomb,Po-Lun Ma,Salil Mahajan,Mathew Maltrud,Azamat Mametjanov,Julie L. McClean,Renata B. McCoy,Richard Neale,Stephen Price,Yun Qian,Philip J. Rasch,J. E. Jack Reeves Eyre,William J. Riley,Todd D. Ringler,Todd D. Ringler,Andrew Roberts,Erika Louise Roesler,Andrew G. Salinger,Zeshawn Shaheen,Xiaoying Shi,Balwinder Singh,Jinyun Tang,Mark A. Taylor,Peter E. Thornton,Adrian K. Turner,Milena Veneziani,Hui Wan,Hailong Wang,Shanlin Wang,Dean N. Williams,Phillip J. Wolfram,Patrick H. Worley,Shaocheng Xie,Yang Yang,Jin-Ho Yoon,Mark D. Zelinka,Charles S. Zender,Xubin Zeng,Chengzhu Zhang,Kai Zhang,Yuying Zhang,X. Zheng,Tian Zhou,Qing Zhu +86 more
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Journal ArticleDOI
Computational reproducibility of scientific workflows at extreme scales
Line Pouchard,Sterling Baldwin,Todd O. Elsethagen,Shantenu Jha,Bibi Raju,Eric G. Stephan,Li Tang,Kerstin Kleese van Dam +7 more
TL;DR: An approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics is proposed that is agnostic to the type of provenance data it captures so that both the reproducecibility of scientific results and that of performance can be explored with the tools.
Posted Content
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.
Line Pouchard,Sterling Baldwin,Todd O. Elsethagen,Carlos Gamboa,Shantenu Jha,Bibi Raju,Eric G. Stephan,Li Tang,Kerstin Kleese van Dam +8 more
TL;DR: An approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvEn server, is proposed.