Ian G. Grooms

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data assimilation with an integral-form ensemble square-root filter.
J. Comput. Phys.
Robin Armstrong, Ian G. Grooms
2024 J jnl
A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation.
Remote. Sens.
Ian G. Grooms, Christopher Riedel
2024 J jnl
Continuous and Discrete Baroclinic Modes in Continuously Varying Stratification.
SIAM J. Appl. Math.
Rachel N. Robey, Ian G. Grooms
2022 J jnl
GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data.
J. Open Source Softw.
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
2021 J jnl
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].
J. Comput. Phys.
Lucia Minah Yang, Ian G. Grooms, Keith A. Julien
2021 J jnl
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation.
CoRR
Lucia Minah Yang, Ian G. Grooms
2021 J jnl
Machine learning techniques to construct patched analog ensembles for data assimilation.
J. Comput. Phys.
Lucia Minah Yang, Ian G. Grooms
2021 J jnl
The fidelity of exponential and IMEX integrators for wave turbulence: Introduction of a new near-minimax integrating factor scheme.
J. Comput. Phys.
Lucia Minah Yang, Ian G. Grooms, Keith A. Julien
2020 J jnl
A Fast Tunable Blurring Algorithm for Scattered Data.
SIAM J. Sci. Comput.
Gregor A. Robinson, Ian G. Grooms
2020 J jnl
Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders.
CoRR
Ian G. Grooms
2019 J jnl
A tunable multiresolution smoother for scattered data with application to particle filtering.
CoRR
Gregor A. Robinson, Ian G. Grooms
2019 J jnl
Energy-conserving Galerkin approximations for quasigeostrophic dynamics.
J. Comput. Phys.
Matthew Watwood, Ian G. Grooms, Keith A. Julien, K. Shafer Smith
2015 J jnl
Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence.
Multiscale Model. Simul.
Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2014 J jnl
Ensemble Kalman filters for dynamical systems with unresolved turbulence.
J. Comput. Phys.
Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2014 J jnl
New perspectives on superparameterization for geophysical turbulence.
J. Comput. Phys.
Andrew J. Majda, Ian G. Grooms
2014 J jnl
Stochastic superparameterization in quasigeostrophic turbulence.
J. Comput. Phys.
Ian G. Grooms, Andrew J. Majda
2011 J jnl
Linearly implicit methods for nonlinear PDEs with linear dispersion and dissipation.
J. Comput. Phys.
Ian G. Grooms, Keith A. Julien
2009 J jnl
Molecular Embedding via a Second Order Dissimilarity Parameterized Approach.
SIAM J. Sci. Comput.
Ian G. Grooms, Robert Michael Lewis, Michael W. Trosset