A stable implementation of a data-driven scale-aware mesoscale parameterization
Fuente:
arXiv
Saved in:
| Main Authors: | Perezhogin, Pavel, Zhang, Cheng, Adcroft, Alistair, Fernandez-Granda, Carlos, Zanna, Laure |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
by: Perezhogin, Pavel, et al.
Published: (2025)
by: Perezhogin, Pavel, et al.
Published: (2025)
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks
by: Sane, Aakash, et al.
Published: (2023)
by: Sane, Aakash, et al.
Published: (2023)
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
by: Perezhogin, Pavel, et al.
Published: (2023)
by: Perezhogin, Pavel, et al.
Published: (2023)
Large eddy simulation of ocean mesoscale eddies
by: Perezhogin, Pavel, et al.
Published: (2025)
by: Perezhogin, Pavel, et al.
Published: (2025)
Scale-awareness in an eddy energy constrained mesoscale eddy parameterization
by: Mak, Julian, et al.
Published: (2023)
by: Mak, Julian, et al.
Published: (2023)
Calibration of a neural network ocean closure for improved mean state and variability
by: Perezhogin, Pavel, et al.
Published: (2026)
by: Perezhogin, Pavel, et al.
Published: (2026)
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
by: Shi, Jia-Rui, et al.
Published: (2026)
by: Shi, Jia-Rui, et al.
Published: (2026)
Harmonic Extension for Multiscale Analysis and Modeling Near Boundaries, with an Ocean Application
by: Storer, Benjamin A., et al.
Published: (2025)
by: Storer, Benjamin A., et al.
Published: (2025)
A data-driven framework for dimensionality reduction and causal inference in climate fields
by: Falasca, Fabrizio, et al.
Published: (2023)
by: Falasca, Fabrizio, et al.
Published: (2023)
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
by: Gultekin, Cem, et al.
Published: (2024)
by: Gultekin, Cem, et al.
Published: (2024)
Submesoscale and boundary layer turbulence under mesoscale forcing in the upper ocean
by: Peng, S., et al.
Published: (2026)
by: Peng, S., et al.
Published: (2026)
Applications of Deep Learning parameterization of Ocean Momentum Forcing
by: Wang, Guosong, et al.
Published: (2024)
by: Wang, Guosong, et al.
Published: (2024)
Global sonde datasets do not support a mesoscale transition in the turbulent energy cascade
by: DeWitt, Thomas D., et al.
Published: (2025)
by: DeWitt, Thomas D., et al.
Published: (2025)
The U2H map explains the effect of (sub)mesoscale currents on significant wave height statistics
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Formulation and calibration of CATKE, a one-equation parameterization for microscale ocean mixing
by: Wagner, Gregory LeClaire, et al.
Published: (2023)
by: Wagner, Gregory LeClaire, et al.
Published: (2023)
A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework
by: Girfoglio, Michele, et al.
Published: (2024)
by: Girfoglio, Michele, et al.
Published: (2024)
A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
by: Du, Bowen, et al.
Published: (2025)
by: Du, Bowen, et al.
Published: (2025)
Structure-preserving stochastic parameterization of a barotropic coupled ocean-atmosphere model with Ornstein--Uhlenbeck noise
by: Sharma, Kamal Kishor, et al.
Published: (2026)
by: Sharma, Kamal Kishor, et al.
Published: (2026)
The Impact of Natural External Forcing on Ocean Heat Uptake Efficiency Since the 1980s
by: Shi, Jia-Rui, et al.
Published: (2025)
by: Shi, Jia-Rui, et al.
Published: (2025)
Transfer Learning for Emulating Ocean Climate Variability across $CO_2$ forcing
by: Dheeshjith, Surya, et al.
Published: (2024)
by: Dheeshjith, Surya, et al.
Published: (2024)
Large-scale patterns of small-scale vorticity interactions foster moist convection during cyclogenesis
by: Tandon, Shruti, et al.
Published: (2025)
by: Tandon, Shruti, et al.
Published: (2025)
Large-scale self-organisation in dry turbulent atmospheres
by: Alexakis, Alexandros, et al.
Published: (2024)
by: Alexakis, Alexandros, et al.
Published: (2024)
Machine learning for online sea ice bias correction within global ice-ocean simulations
by: Gregory, William, et al.
Published: (2023)
by: Gregory, William, et al.
Published: (2023)
Down-scale marine hydrodynamic analysis at the Norwegian coast -- the NORA-SARAH open framework
by: Wang, Widar Weizhi, et al.
Published: (2025)
by: Wang, Widar Weizhi, et al.
Published: (2025)
Large-scale semi-organized rolls in a sheared convective turbulence: Mean-field simulations
by: Asulin, A., et al.
Published: (2024)
by: Asulin, A., et al.
Published: (2024)
Breaking-induced energy dissipation of surface gravity waves at varying scales and co-flowing wind stresses
by: Cao, Rui, et al.
Published: (2026)
by: Cao, Rui, et al.
Published: (2026)
Effect of grid anisotropy, resolution, and subgrid-scale models in pseudo-spectral Large Eddy Simulations of low-level clouds
by: Selvatici, Davide, et al.
Published: (2026)
by: Selvatici, Davide, et al.
Published: (2026)
PQG-DL-Ekman: a triple-deck boundary layer theory for large-scale atmospheric flow with moist process closures
by: Bäumer, Daniel, et al.
Published: (2025)
by: Bäumer, Daniel, et al.
Published: (2025)
Generative AI for subgrid turbulence in large-eddy simulations
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
A Tug-of-War Between Baroclinic Eddies and Convection: Implications for Icy Moon Oceans
by: Wang, Shuang, et al.
Published: (2026)
by: Wang, Shuang, et al.
Published: (2026)
Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation
by: Limousin, Vadim, et al.
Published: (2025)
by: Limousin, Vadim, et al.
Published: (2025)
Spatial and temporal distribution of stratospheric turbulence from global high-resolution radiosonde data
by: Ko, Han-Chang, et al.
Published: (2026)
by: Ko, Han-Chang, et al.
Published: (2026)
Evaluating near-surface wind speeds simulated by the CRCM6-GEM5 model using AmeriFlux data over North America
by: Whittaker, Tim, et al.
Published: (2024)
by: Whittaker, Tim, et al.
Published: (2024)
Samudra: An AI Global Ocean Emulator for Climate
by: Dheeshjith, Surya, et al.
Published: (2024)
by: Dheeshjith, Surya, et al.
Published: (2024)
Conserved Pseudomomenta in Linear Quasigeostrophic Fluid Flows From Noether's Theorem
by: Begus, Dusan, et al.
Published: (2025)
by: Begus, Dusan, et al.
Published: (2025)
Scalar Dispersion from Wall-Mounted Cylinders at Large Reynolds Number: Plume Transitions and Regime Classification
by: Amankwah, Kofi Agyemang, et al.
Published: (2026)
by: Amankwah, Kofi Agyemang, et al.
Published: (2026)
Effect of shoaling length on rogue wave occurrence
by: Zhang, Jie, et al.
Published: (2023)
by: Zhang, Jie, et al.
Published: (2023)
Periodic extreme rainfall in a warmer climate due to stronger convectively-coupled waves
by: Quan, Heng, et al.
Published: (2025)
by: Quan, Heng, et al.
Published: (2025)
Large-scale circulations in a shear-free convective turbulence: Mean-field simulations
by: Orian, G., et al.
Published: (2022)
by: Orian, G., et al.
Published: (2022)
ERF: Energy Research and Forecasting Model
by: Lattanzi, Aaron, et al.
Published: (2024)
by: Lattanzi, Aaron, et al.
Published: (2024)
Similar Items
-
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
by: Perezhogin, Pavel, et al.
Published: (2025) -
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks
by: Sane, Aakash, et al.
Published: (2023) -
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
by: Perezhogin, Pavel, et al.
Published: (2023) -
Large eddy simulation of ocean mesoscale eddies
by: Perezhogin, Pavel, et al.
Published: (2025) -
Scale-awareness in an eddy energy constrained mesoscale eddy parameterization
by: Mak, Julian, et al.
Published: (2023)