Ian Grooms
Cited by
Cited by
Statistical and physical balances in low Rossby number Rayleigh–Bénard convection
K Julien, AM Rubio, I Grooms, E Knobloch
Geophysical & Astrophysical Fluid Dynamics 106 (4-5), 392-428, 2012
Model of convective Taylor Columns in rotating Rayleigh-Bénard convection
I Grooms, K Julien, JB Weiss, E Knobloch
Physical review letters 104 (22), 224501, 2010
Efficient stochastic superparameterization for geophysical turbulence
I Grooms, AJ Majda
Proceedings of the National Academy of Sciences 110 (12), 4464-4469, 2013
Stochastic superparameterization in a quasigeostrophic model of the Antarctic Circumpolar Current
I Grooms, AJ Majda, KS Smith
Ocean Modelling 85, 1-15, 2015
New perspectives on superparameterization for geophysical turbulence
AJ Majda, I Grooms
Journal of Computational Physics 271, 60-77, 2014
Stochastic superparameterization in quasigeostrophic turbulence
I Grooms, AJ Majda
Journal of Computational Physics 271, 78-98, 2014
Linearly implicit methods for nonlinear PDEs with linear dispersion and dissipation
I Grooms, K Julien
Journal of Computational Physics 230 (9), 3630-3650, 2011
Diffusion‐Based Smoothers for Spatial Filtering of Gridded Geophysical Data
I Grooms, N Loose, R Abernathey, JM Steinberg, SD Bachman, ...
Journal of Advances in Modeling Earth Systems 13 (9), e2021MS002552, 2021
On the interactions between planetary geostrophy and mesoscale eddies
I Grooms, K Julien, B Fox-Kemper
Dynamics of Atmospheres and Oceans 51 (3), 109-136, 2011
Mesoscale eddy energy locality in an idealized ocean model
I Grooms, LP Nadeau, KS Smith
Journal of Physical Oceanography 43 (9), 1911-1923, 2013
A Gaussian-product stochastic Gent–McWilliams parameterization
I Grooms
Ocean Modelling 106, 27-43, 2016
Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders
I Grooms
Quarterly Journal of the Royal Meteorological Society 147 (734), 139-149, 2021
Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence
I Grooms, Y Lee, AJ Majda
Multiscale Modeling & Simulation 13 (3), 1001-1021, 2015
Machine learning techniques to construct patched analog ensembles for data assimilation
LM Yang, I Grooms
Journal of Computational Physics 443, 110532, 2021
Ensemble Kalman filters for dynamical systems with unresolved turbulence
I Grooms, Y Lee, AJ Majda
Journal of Computational Physics 273, 435-452, 2014
Vertical structure of ocean mesoscale eddies with implications for parameterizations of tracer transport
Z Stanley, SD Bachman, I Grooms
Journal of Advances in Modeling Earth Systems 12 (10), e2020MS002151, 2020
Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation
JD Christopher, NT Wimer, C Lapointe, TRS Hayden, I Grooms, ...
Physical Review Fluids 3 (10), 104602, 2018
Stochastic superparameterization in a one-dimensional model for wave turbulence
IG Grooms, AJ Majda
Communications in Mathematical Sciences 12 (3), 509-525, 2014
Ensemble filtering and low resolution model error: Covariance inflation, stochastic parameterization, and model numerics
I Grooms, Y Lee, AJ Majda
Mon. Wea. Rev 143 (10), 3912--3924, 2015
Diagnosing scale-dependent energy cycles in a high-resolution isopycnal ocean model
N Loose, S Bachman, I Grooms, M Jansen
Journal of Physical Oceanography 53 (1), 157-176, 2023
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