Member Since 2015
Ian Grooms
Assistant Professor, University of Colorado Boulder
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The Averaged Hydrostatic Boussinesq Ocean Equations in Generalized Vertical Coordinates
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
17 december 2024
Malte Jansen, Alistair Adcroft, Stephen M. Griffie...

Due to their limited resolution, numerical ocean models need to be interpreted as representing filtered or averaged equations. How to interpret mod...

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Investigating the Seasonality of the Ocean's Inverse Kinetic Energy Cascade using a Quasigeostrophic Model with Time-Dependent Stratification
AGU 2024
nonlinear geophysics | 12 december 2024
Houssam Yassin, Baylor Fox-Kemper, Ian Grooms
Upper ocean submesoscale dynamics (with horizontal length scales between 1-100 km) are largely unresolved by climate models. These small-scale current...
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Re-Energizing Ocean Mesoscale Eddies: Assessing Backscatter Parameterizations for Global Ocean Models
AGU 2024
atmospheric sciences | 11 december 2024
Houssam Yassin, Gustavo M. Marques, Ian Grooms
Course resolution ocean models (e.g., at ~1 degree) are unable resolve mesoscale eddies over most of the ocean. To compensate for this limitation, an ...
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A non-Gaussian, Two-Step, Ensemble Data Assimilation Method for Sea Ice
AGU 2024
nonlinear geophysics | 09 december 2024
Kate Boden, Ian Grooms
The Ensemble Kalman Filter (EnKF) is a powerful tool in the geosciences to integrate real-time observations into dynamical models for an improved esti...
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Cross-attractor transforms: Improving forecasts by learning optimal maps between dynamical systems and imperfect models
AGU 2024
nonlinear geophysics | 09 december 2024
Daniel E. Amrhein, Niraj Agarwal, Ian Grooms
Biased or incomplete models are often used for forecasting complex dynamical systems by mapping an estimate of an initial observed state into model ph...
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Quad-EAKF: A deterministic ensemble Kalman filter with model-space localization
AGU 2024
nonlinear geophysics | 09 december 2024
Ian Grooms, Robin Armstrong
Deterministic ensemble Kalman filters can be roughly categorized into "transform" methods (like the ETKF) and "adjustment" methods (like the EAKF). Le...
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Data Assimilation Tools to Advance Earth System Science Research: The Newest Developments in NSF NCAR's Data Assimilation Research Testbed
AGU 2024
nonlinear geophysics | 09 december 2024
Kevin Raeder, Brett M. Raczka, Benjamin Gaubert, N...
Society's ability to make wise decisions depends on an accurate understanding of the state of Earth and an ability to predict future states. Data Assi...
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Backscatter in energetically-consistent Leith parameterizations
OCEAN SCIENCES 2024
physical oceanography: mesoscale and larger | 22 february 2024
Ian Grooms
The Smagorinsky parameterization is obtained by a combination of dimensional analysis and reasoning about the forward cascade of kinetic energy in thr...
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