| 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 | 217 | 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 | 101 | 2010 |
| Efficient stochastic superparameterization for geophysical turbulence I Grooms, AJ Majda Proceedings of the National Academy of Sciences 110 (12), 4464-4469, 2013 | 91 | 2013 |
| Stochastic superparameterization in a quasigeostrophic model of the Antarctic Circumpolar Current I Grooms, AJ Majda, KS Smith Ocean Modelling 85, 1-15, 2015 | 68 | 2015 |
| New perspectives on superparameterization for geophysical turbulence AJ Majda, I Grooms Journal of Computational Physics 271, 60-77, 2014 | 58 | 2014 |
| Stochastic superparameterization in quasigeostrophic turbulence I Grooms, AJ Majda Journal of Computational Physics 271, 78-98, 2014 | 53 | 2014 |
| 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 | 44 | 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 | 40 | 2011 |
| Linearly implicit methods for nonlinear PDEs with linear dispersion and dissipation I Grooms, K Julien Journal of Computational Physics 230 (9), 3630-3650, 2011 | 37 | 2011 |
| A Gaussian-product stochastic Gent–McWilliams parameterization I Grooms Ocean Modelling 106, 27-43, 2016 | 35 | 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 | 33 | 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 | 33 | 2015 |
| Mesoscale eddy energy locality in an idealized ocean model I Grooms, LP Nadeau, KS Smith Journal of Physical Oceanography 43 (9), 1911-1923, 2013 | 32 | 2013 |
| Machine learning techniques to construct patched analog ensembles for data assimilation LM Yang, I Grooms Journal of Computational Physics 443, 110532, 2021 | 28 | 2021 |
| Stochastic superparameterization in a one-dimensional model for wave turbulence I Grooms, AJ Majda Commun. Math. Sci 12 (3), 509-525, 2014 | 28 | 2014 |
| Ensemble Kalman filters for dynamical systems with unresolved turbulence I Grooms, Y Lee, AJ Majda Journal of Computational Physics 273, 435-452, 2014 | 26 | 2014 |
| 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 | 25 | 2023 |
| 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 | 25 | 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 | 24 | 2018 |
| Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization I Grooms, W Kleiber Ocean Modelling 133, 1-10, 2019 | 21 | 2019 |
Keith JulienProfessor of Applied Mathematics, University of Colorado at BoulderVerifisert e-postadresse på colorado.edu