An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 10:00 PM ET on Friday, February 6 until 10:00 AM ET on Saturday, February 7 due to maintenance. We apologize for the inconvenience.

Search for: All records

Creators/Authors contains: "Hammerling, Dorit"

« Prev Next »

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Nonstationary Spatial Modeling of Massive Global Satellite Data

https://doi.org/10.1080/10618600.2024.2441986

Huang, Huang; Blake, Lewis R; Katzfuss, Matthias; Hammerling, Dorit M (February 2025, Journal of Computational and Graphical Statistics)

Full Text Available
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso

https://doi.org/10.1080/10618600.2023.2174126

Krock, Mitchell L.; Kleiber, William; Hammerling, Dorit; Becker, Stephen (May 2023, Journal of Computational and Graphical Statistics)

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

https://doi.org/10.1109/DRBSD56682.2022.00009

Sather, Hayden; Pinard, Alexander; Baker, Allison H.; Hammerling, Dorit M. (November 2022, IEEE)
Pushing the frontiers in climate modelling and analysis with machine learning

https://doi.org/10.1038/s41558-024-02095-y

Eyring, Veronika; Collins, William D; Gentine, Pierre; Barnes, Elizabeth A; Barreiro, Marcelo; Beucler, Tom; Bocquet, Marc; Bretherton, Christopher S; Christensen, Hannah M; Dagon, Katherine; et al (September 2024, Nature Climate Change)

Full Text Available
A Bayesian hierarchical model for climate change detection and attribution: BAYESIAN DETECTION AND ATTRIBUTION

https://doi.org/10.1002/2017GL073688

Katzfuss, Matthias; Hammerling, Dorit; Smith, Richard L. (June 2017, Geophysical Research Letters)

Full Text Available
A Case Study Competition Among Methods for Analyzing Large Spatial Data

https://doi.org/10.1007/s13253-018-00348-w

Heaton, Matthew J.; Datta, Abhirup; Finley, Andrew O.; Furrer, Reinhard; Guinness, Joseph; Guhaniyogi, Rajarshi; Gerber, Florian; Gramacy, Robert B.; Hammerling, Dorit; Katzfuss, Matthias; et al (January 2019, Journal of Agricultural, Biological and Environmental Statistics)

Full Text Available
Keeping science on keel when software moves

https://doi.org/10.1145/3382037

Ahn, Dong H.; Baker, Allison H.; Bentley, Michael; Briggs, Ian; Gopalakrishnan, Ganesh; Hammerling, Dorit M.; Laguna, Ignacio; Lee, Gregory L.; Milroy, Daniel J.; Vertenstein, Mariana (January 2021, Communications of the ACM)

An approach to reproducibility problems related to porting software across machines and compilers.
more » « less
Full Text Available