Ian G. Grooms

According to our database, Ian G. Grooms authored at least 14 papers between 2009 and 2022.

Collaborative distances:

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

2022

GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data.

Nora Loose, Ryan Abernathey, Ian G. Grooms, Julius Busecke, Arthur Guillaumin, Elizabeth Yankovsky, Gustavo Marques, Jacob Steinberg, Andrew Slavin Ross, Hemant Khatri, Scott Bachman, Laure Zanna, Paige Martin

J. Open Source Softw., 2022

2021

Corrigendum to "The fidelity of exponential and IMEX integrators for wave turbulence: Introduction of a new near-minimax integrating factor scheme" [J. Comput. Phys. 434 (2021) 109992].

Lucia Minah Yang, Ian G. Grooms, Keith A. Julien

J. Comput. Phys., 2021

The fidelity of exponential and IMEX integrators for wave turbulence: Introduction of a new near-minimax integrating factor scheme.

Lucia Minah Yang, Ian G. Grooms, Keith A. Julien

J. Comput. Phys., 2021

Machine learning techniques to construct patched analog ensembles for data assimilation.

Lucia Minah Yang, Ian G. Grooms

J. Comput. Phys., 2021

2020

A Fast Tunable Blurring Algorithm for Scattered Data.

Gregor A. Robinson, Ian G. Grooms

SIAM J. Sci. Comput., 2020

Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders.

Ian G. Grooms

CoRR, 2020

2019

Energy-conserving Galerkin approximations for quasigeostrophic dynamics.

Matthew Watwood, Ian G. Grooms, Keith A. Julien, K. Shafer Smith

J. Comput. Phys., 2019

A tunable multiresolution smoother for scattered data with application to particle filtering.

Gregor A. Robinson, Ian G. Grooms

CoRR, 2019

2015

Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence.

Ian G. Grooms, Yoonsang Lee, Andrew J. Majda

Multiscale Model. Simul., 2015

2014

New perspectives on superparameterization for geophysical turbulence.

Andrew J. Majda, Ian G. Grooms

J. Comput. Phys., 2014

Stochastic superparameterization in quasigeostrophic turbulence.

Ian G. Grooms, Andrew J. Majda

J. Comput. Phys., 2014

Ensemble Kalman filters for dynamical systems with unresolved turbulence.

Ian G. Grooms, Yoonsang Lee, Andrew J. Majda

J. Comput. Phys., 2014

2011

Linearly implicit methods for nonlinear PDEs with linear dispersion and dissipation.

Ian G. Grooms, Keith A. Julien

J. Comput. Phys., 2011

2009

Molecular Embedding via a Second Order Dissimilarity Parameterized Approach.

Ian G. Grooms, Robert Michael Lewis, Michael W. Trosset

SIAM J. Sci. Comput., 2009