Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations. - Daniel Milroy; Allison H. Baker; Dorit Hammerling; John M. Dennis; Sheri A. Mickelson; Elizabeth R. Jessup (ICCS, 2016)

Quality Assurance and Error Identification for the Community Earth System Model. - Allison H. Baker; Daniel J. Milroy; Dorit M. Hammerling; Haiying Xu (CORRECTNESS@SC, 2017)

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data. - Allison H. Baker; Haiying Xu; Dorit M. Hammerling; Shaomeng Li; John P. Clyne (ISC Workshops, 2017)

Parallel inference for massive distributed spatial data using low-rank models. - Matthias Katzfuss; Dorit Hammerling (Stat. Comput., 2017)

Making Root Cause Analysis Feasible for Large Code Bases: A Solution Approach for a Climate Model. - Daniel J. Milroy; Allison H. Baker; Dorit M. Hammerling; Youngsung Kim; Elizabeth R. Jessup; Thomas Hauser (HPDC, 2019)

Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data. - Allison H. Baker; Dorit Hammerling; Terece L. Turton (Comput. Graph. Forum, 2019)

Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package. - Alexander Pinard; Dorit M. Hammerling; Allison H. Baker (IEEE BigData, 2020)

Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation. - Matthew Edwards; Stefano Castruccio; Dorit Hammerling (Comput. Stat. Data Anal., 2020)

A statistical analysis of lossily compressed climate model data. - Andrew Poppick; Joseph Nardi; Noah Feldman; Allison H. Baker; Alexander Pinard; Dorit M. Hammerling (Comput. Geosci., 2020)

Keeping science on keel when software moves. - Dong H. Ahn; Allison H. Baker; Michael Bentley; Ian Briggs; Ganesh Gopalakrishnan; Dorit M. Hammerling; Ignacio Laguna; Gregory L. Lee; Daniel J. Milroy; Mariana Vertenstein (Commun. ACM, 2021)

Modeling massive multivariate spatial data with the basis graphical lasso. - Mitchell Krock; William Kleiber; Dorit Hammerling; Stephen Becker (CoRR, 2021)

Advancing data compression via noise detection. - Dorit M. Hammerling; Allison H. Baker (Nat. Comput. Sci., 2021)

What can real information content tell us about compressing climate model data? - Hayden Sather; Alexander Pinard; Allison H. Baker; Dorit M. Hammerling (DRBSD@SC, 2022)

DSSIM: a structural similarity index for floating-point data. - Allison H. Baker; Alexander Pinard; Dorit M. Hammerling (CoRR, 2022)

The VIIRS Day/Night Band: A Flicker Meter in Space? - Christopher D. Elvidge; Mikhail N. Zhizhin; David M. Keith; Steven D. Miller; Feng-Chi Hsu; Tilottama Ghosh; Sharolyn Anderson; Christian K. Monrad; Morgan D. Bazilian; Jay Taneja; Paul C. Sutton; John C. Barentine; et al. (Remote. Sens., 2022)

Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. - Mitchell Krock; William Kleiber; Dorit Hammerling; Stephen Becker (J. Comput. Graph. Stat., 2023)

On a Structural Similarity Index Approach for Floating-Point Data. - Allison H. Baker; Alexander Pinard; Dorit M. Hammerling (IEEE Trans. Vis. Comput. Graph., 2024)