Dorit Hammerling

According to our database, Dorit Hammerling authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On a Structural Similarity Index Approach for Floating-Point Data.

Allison H. Baker, Alexander Pinard, Dorit M. Hammerling

IEEE Trans. Vis. Comput. Graph., September, 2024

2023

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

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, William S. Kowalik, Christopher C. M. Kyba, Dee W. Pack, Dorit Hammerling

Remote. Sens., 2022

DSSIM: a structural similarity index for floating-point data.

Allison H. Baker, Alexander Pinard, Dorit M. Hammerling

CoRR, 2022

What can real information content tell us about compressing climate model data?

Hayden Sather, Alexander Pinard, Allison H. Baker, Dorit M. Hammerling

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

2021

Advancing data compression via noise detection.

Dorit M. Hammerling, Allison H. Baker

Nat. Comput. Sci., 2021

Modeling massive multivariate spatial data with the basis graphical lasso.

Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker

CoRR, 2021

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

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

Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation.

Matthew Edwards, Stefano Castruccio, Dorit Hammerling

Comput. Stat. Data Anal., 2020

Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package.

Alexander Pinard, Dorit M. Hammerling, Allison H. Baker

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

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

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2017

Parallel inference for massive distributed spatial data using low-rank models.

Matthias Katzfuss, Dorit Hammerling

Stat. Comput., 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

Proceedings of the High Performance Computing, 2017

Quality Assurance and Error Identification for the Community Earth System Model.

Allison H. Baker, Daniel J. Milroy, Dorit M. Hammerling, Haiying Xu

Proceedings of the First International Workshop on Software Correctness for HPC Applications, 2017

2016

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

Proceedings of the International Conference on Computational Science 2016, 2016