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Re-Energizing Ocean Mesoscale Eddies: Assessing Backscatter Parameterizations for Global Ocean Models
OCEAN SCIENCES 2024
physical oceanography: mesoscale and larger | 22 february 2024
Houssam Yassin, Gustavo M. Marques, Ian Grooms
Ocean mesoscale eddies play a critical role in shaping Earth's climate; however, they remain inadequately resolved in most climate models. To tackle t...
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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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Energetically-accurate vertical grid for under-resolved quasi-geostrophic ocean
GEOPHYSICAL FLUID DYNAMICS: PHYSICS-INFORMED MACHINE LEARNING III POSTER
nonlinear geophysics | 14 december 2023
Rachel Robey, Ian Grooms, Scott Bachman
Quasigeostrophic (QG) dynamics are a canonical model for ocean mesoscale turbulence (balanced turbulence at scales of 10-100 km). Many investigations ...
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Parameterized Ekman Layers on the Tilted f-plane: Quasigeostrophic Convection.
GEOPHYSICAL FLUID DYNAMICS: PHYSICS-INFORMED MACHINE LEARNING I ORAL
nonlinear geophysics | 14 december 2023
Keith A. Julien, Ian Grooms, Sara Tro
Rapidly rotating Rayleigh Benard convection is known to generate a narrow Ekman layer on a no-slip boundaries. This Ekman layer may be parameterized b...
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Unraveling the Seasonal Evolution of the Ocean’s Inverse Kinetic Energy Cascade
GEOPHYSICAL FLUID DYNAMICS: PHYSICS-INFORMED MACHINE LEARNING II ORAL
nonlinear geophysics | 14 december 2023
Houssam Yassin, Ian Grooms
Accurately representing the seasonal cycle of geostrophic turbulence in the ocean is crucial for simulating essential processes such as lateral ocean ...
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A two-step approach to assimilating observations of sea ice concentration into CICE/Icepack
ADVANCES IN DATA ASSIMILATION, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION III POSTER
nonlinear geophysics | 13 december 2023
Ian Grooms, Oscar Laird
The forecast distribution of sea ice is strongly non-Gaussian because of multivariate constraints on the state variables. The CICE model (and others) ...
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Backscatter in energetically-constrained Leith parameterizations for eddying ocean models
EXTREME VARIABILITY AND COMPLEXITY: BRIDGING THEORIES AND DATA-DRIVEN APPROACHES ACROSS SCALES, FROM URBAN GEOSCIENCES TO THE GEOSPACE III POSTER
nonlinear geophysics | 12 december 2023
Ian Grooms
This research combines two strains in the literature on subgrid-scale parameterizations for eddying ocean models to develop six new parameterizations,...
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Comparing Two Parameterizations for the Restratification Effect of Mesoscale Eddies in an Isopycnal Ocean Model
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
11 december 2023
Nora Loose, Gustavo M. Marques, Alistair Adcroft, ...
There are two distinct parameterizations for the restratification effect of mesoscale eddies: the Greatbatch and Lamb (1990, GL90, https://journals...