Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Cheng, Perezhogin, Pavel, Adcroft, Alistair, Zanna, Laure |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| 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)
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)
A stable implementation of a data-driven scale-aware mesoscale parameterization
by: Perezhogin, Pavel, et al.
Published: (2023)
by: Perezhogin, Pavel, et al.
Published: (2023)
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)
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)
Multiscale transform based seismic reflectivity inversion using convolutional neural network
by: Castagna, John, et al.
Published: (2025)
by: Castagna, John, et al.
Published: (2025)
Large eddy simulation of ocean mesoscale eddies
by: Perezhogin, Pavel, et al.
Published: (2025)
by: Perezhogin, Pavel, et al.
Published: (2025)
A convolutional neural network approach to deblending seismic data
by: Sun, Jing, et al.
Published: (2024)
by: Sun, Jing, et al.
Published: (2024)
Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material properties
by: Choi, Yongjin, et al.
Published: (2025)
by: Choi, Yongjin, et al.
Published: (2025)
Near offset reconstruction for marine seismic data using a convolutional neural network
by: Owen Rohwer Huff, et al.
Published: (2024)
by: Owen Rohwer Huff, et al.
Published: (2024)
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)
An approach of 2D convolutional neural network–based seismic data fault interpretation with linear annotation and pixel thinking
by: Bowen Deng, et al.
Published: (2024)
by: Bowen Deng, et al.
Published: (2024)
Meta-PINN: Meta learning for improved neural network wavefield solutions
by: Cheng, Shijun, et al.
Published: (2024)
by: Cheng, Shijun, et al.
Published: (2024)
Self-supervised surface-related multiple suppression with multidimensional convolution
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
A dictionary learning–enhanced deep convolutional network for GPR image noise suppression
by: Hua Zhang, et al.
Published: (2025)
by: Hua Zhang, et al.
Published: (2025)
Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network
by: Ma, Ziqi, et al.
Published: (2025)
by: Ma, Ziqi, et al.
Published: (2025)
Enhancing porosity prediction: Integrating seismic inversion utilizing sparse layer reflectivity, and particle swarm optimization with radial basis function neural networks
by: Ravi Kant, et al.
Published: (2024)
by: Ravi Kant, et al.
Published: (2024)
Anisotropic induced polarization modeling with neural networks and effective medium theory
by: Bérubé, Charles L., et al.
Published: (2024)
by: Bérubé, Charles L., et al.
Published: (2024)
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
by: Darman, Moein, et al.
Published: (2025)
by: Darman, Moein, et al.
Published: (2025)
Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis
by: Berman, Neri, et al.
Published: (2024)
by: Berman, Neri, et al.
Published: (2024)
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)
Bayesian full waveform inversion with learned prior using deep convolutional autoencoder
by: Hu, Shuhua, et al.
Published: (2025)
by: Hu, Shuhua, et al.
Published: (2025)
Seismic wavefield solutions via physics-guided generative neural operator
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
Attention mechanism‐assisted recurrent neural network for well log lithology classification
by: Yining Gao, et al.
Published: (2024)
by: Yining Gao, et al.
Published: (2024)
GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks
by: Huang, Xinquan, et al.
Published: (2023)
by: Huang, Xinquan, et al.
Published: (2023)
Simultaneous P‐ and S‐wave seismic traveltime tomography using physics‐informed neural networks
by: Chao Song, et al.
Published: (2025)
by: Chao Song, et al.
Published: (2025)
HypoNet Nankai: Rapid hypocenter determination tool for the Nankai Trough subduction zone using physics-informed neural networks
by: Agata, Ryoichiro, et al.
Published: (2024)
by: Agata, Ryoichiro, et al.
Published: (2024)
PINNPStomo: Simultaneous P- and S-wave seismic traveltime tomography using physics-informed neural networks with a new factored eikonal equation
by: Song, Chao, et al.
Published: (2024)
by: Song, Chao, et al.
Published: (2024)
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)
Semi-analytical eddy-viscosity and backscattering closures for 2D geophysical turbulence
by: Guan, Yifei, et al.
Published: (2025)
by: Guan, Yifei, et al.
Published: (2025)
Propagating the prior from far to near offset: A self-supervised diffusion framework for progressively recovering near-offsets of towed-streamer data
by: Cheng, Shijun, et al.
Published: (2026)
by: Cheng, Shijun, et al.
Published: (2026)
Neural network with signal parameters featuring for near‐surface velocity model building
by: Nelson Ricardo Coelho Flores Zuniga
Published: (2026)
by: Nelson Ricardo Coelho Flores Zuniga
Published: (2026)
DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
Slope assisted Physics‐informed neural networks for seismic signal separation with applications on ground roll removal and interpolation
by: Francesco Brandolin, et al.
Published: (2025)
by: Francesco Brandolin, et al.
Published: (2025)
Tipping detection using climate networks
by: Moinat, Laure, et al.
Published: (2024)
by: Moinat, Laure, et al.
Published: (2024)
The f–x domain Transformer network for multi‐frequency ground‐penetrating radar data fusion
by: Xuebing Zhang, et al.
Published: (2026)
by: Xuebing Zhang, et al.
Published: (2026)
Traveltime signature of 3-D edge diffractions exemplified by triple-square-root moveout
by: Znak, Pavel, et al.
Published: (2025)
by: Znak, Pavel, et al.
Published: (2025)
Generalized nearest-neighbor distance and Hawkes point process modeling applied to mining induced seismicity
by: Sedghizadeh, Mohammadamin, et al.
Published: (2025)
by: Sedghizadeh, Mohammadamin, et al.
Published: (2025)
Predominant-Mode Inversion of Surface Waves: Inherently Addressing Inconspicuous Low Frequency Mode Jumps
by: Bhaumik, Mrinal, et al.
Published: (2025)
by: Bhaumik, Mrinal, et al.
Published: (2025)
Similar Items
-
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
by: Perezhogin, Pavel, et al.
Published: (2025) -
Calibration of a neural network ocean closure for improved mean state and variability
by: Perezhogin, Pavel, et al.
Published: (2026) -
A stable implementation of a data-driven scale-aware mesoscale parameterization
by: Perezhogin, Pavel, et al.
Published: (2023) -
The Impact of Natural External Forcing on Ocean Heat Uptake Efficiency Since the 1980s
by: Shi, Jia-Rui, et al.
Published: (2025) -
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
by: Shi, Jia-Rui, et al.
Published: (2026)