A Neural Network-Based Submesoscale Vertical Heat Flux Parameterization and Its Implementation in Regional Ocean Modeling System (ROMS)
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhou, Shuyi, Dong, Jihai, Xu, Fanghua, Jing, Zhiyou, Dong, Changming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
por: Bodner, Abigail, et al.
Publicado: (2023)
por: Bodner, Abigail, et al.
Publicado: (2023)
A Theory for Wind Work on Oceanic Mesoscales and Submesoscales
por: Rai, Shikhar, et al.
Publicado: (2024)
por: Rai, Shikhar, et al.
Publicado: (2024)
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks
por: Sane, Aakash, et al.
Publicado: (2023)
por: Sane, Aakash, et al.
Publicado: (2023)
Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
por: Zhu, Yuhang, et al.
Publicado: (2026)
por: Zhu, Yuhang, et al.
Publicado: (2026)
Towards a Unified Data-Driven Boundary Layer Momentum Flux Parameterization for Ocean and Atmosphere
por: Falga, Renaud, et al.
Publicado: (2025)
por: Falga, Renaud, et al.
Publicado: (2025)
Submesoscale and boundary layer turbulence under mesoscale forcing in the upper ocean
por: Peng, S., et al.
Publicado: (2026)
por: Peng, S., et al.
Publicado: (2026)
Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes
por: Ismaili, Erisa, et al.
Publicado: (2026)
por: Ismaili, Erisa, et al.
Publicado: (2026)
Interpretable Neural Networks to Predict Momentum Fluxes of Orographic Gravity Waves
por: Haslauer, Elias, et al.
Publicado: (2026)
por: Haslauer, Elias, et al.
Publicado: (2026)
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
por: Gultekin, Cem, et al.
Publicado: (2024)
por: Gultekin, Cem, et al.
Publicado: (2024)
Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network
por: Hu, Jiahui, et al.
Publicado: (2026)
por: Hu, Jiahui, et al.
Publicado: (2026)
Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters
por: Ramirez, Rafael Baez, et al.
Publicado: (2025)
por: Ramirez, Rafael Baez, et al.
Publicado: (2025)
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting
por: Zhao, Guang, et al.
Publicado: (2025)
por: Zhao, Guang, et al.
Publicado: (2025)
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
por: Holmberg, Daniel, et al.
Publicado: (2024)
por: Holmberg, Daniel, et al.
Publicado: (2024)
Estimating Vertical Velocity in Convective Updrafts from Temperature, Pressure, and Latent Heating
por: Derras-Chouk, Amel, et al.
Publicado: (2025)
por: Derras-Chouk, Amel, et al.
Publicado: (2025)
Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
por: Heuer, Helge, et al.
Publicado: (2023)
por: Heuer, Helge, et al.
Publicado: (2023)
Data Driven Air Entrainment Velocity Parameterization by Breaking Waves
por: Zhou, Xiaohui, et al.
Publicado: (2026)
por: Zhou, Xiaohui, et al.
Publicado: (2026)
Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models
por: Pastori, Lorenzo, et al.
Publicado: (2025)
por: Pastori, Lorenzo, et al.
Publicado: (2025)
Data-Driven Probabilistic Air-Sea Flux Parameterization
por: Wu, Jiarong, et al.
Publicado: (2025)
por: Wu, Jiarong, et al.
Publicado: (2025)
Retrieval of Ocean Surface Currents and Vertical Shear from HF Radar Observations
por: Hasson, G., et al.
Publicado: (2026)
por: Hasson, G., et al.
Publicado: (2026)
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
por: Balogh, Blanka, et al.
Publicado: (2024)
por: Balogh, Blanka, et al.
Publicado: (2024)
Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
por: Behrens, Gunnar, et al.
Publicado: (2024)
por: Behrens, Gunnar, et al.
Publicado: (2024)
Data-Driven Equation Discovery of a Cloud Cover Parameterization
por: Grundner, Arthur, et al.
Publicado: (2023)
por: Grundner, Arthur, et al.
Publicado: (2023)
How Convective Mass Flux Responds to Environmental Humidity
por: Seidel, Seth D., et al.
Publicado: (2025)
por: Seidel, Seth D., et al.
Publicado: (2025)
Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration
por: Geoffroy, Olivier, et al.
Publicado: (2025)
por: Geoffroy, Olivier, et al.
Publicado: (2025)
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
por: Shi, Jia-Rui, et al.
Publicado: (2026)
por: Shi, Jia-Rui, et al.
Publicado: (2026)
Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields?
por: Moreno, Raul, et al.
Publicado: (2026)
por: Moreno, Raul, et al.
Publicado: (2026)
Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities
por: Han, Yushan, et al.
Publicado: (2026)
por: Han, Yushan, et al.
Publicado: (2026)
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
por: Heuer, Helge, et al.
Publicado: (2025)
por: Heuer, Helge, et al.
Publicado: (2025)
Radar-Based Raindrop Size Distribution Prediction: Comparing Analytical, Neural Network, and Decision Tree Approaches
por: Humphreys, R. J.
Publicado: (2026)
por: Humphreys, R. J.
Publicado: (2026)
Impact of Heterogeneity on Scalar Flux Variance Relations Across Diverse Ecosystems
por: Waterman, Tyler, et al.
Publicado: (2025)
por: Waterman, Tyler, et al.
Publicado: (2025)
Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates
por: Sun, Yixuan, et al.
Publicado: (2024)
por: Sun, Yixuan, et al.
Publicado: (2024)
AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling
por: Sha, Yingkai, et al.
Publicado: (2026)
por: Sha, Yingkai, et al.
Publicado: (2026)
Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
por: Mahesh, Ankur, et al.
Publicado: (2025)
por: Mahesh, Ankur, et al.
Publicado: (2025)
Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery
por: Foxabbott, Jack, et al.
Publicado: (2025)
por: Foxabbott, Jack, et al.
Publicado: (2025)
Benchmarking Regional Thermodynamic Trends in an AI emulator, ACE2, and a hybrid model, NeuralGCM
por: Rucker, Katharine, et al.
Publicado: (2025)
por: Rucker, Katharine, et al.
Publicado: (2025)
The Impact of Natural External Forcing on Ocean Heat Uptake Efficiency Since the 1980s
por: Shi, Jia-Rui, et al.
Publicado: (2025)
por: Shi, Jia-Rui, et al.
Publicado: (2025)
Vertical Profile Corrected Satellite NH3 Retrievals Enable Accurate Agricultural Emission Characterization in China
por: Liu, Qiming, et al.
Publicado: (2025)
por: Liu, Qiming, et al.
Publicado: (2025)
Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
por: Hu, Zeyuan, et al.
Publicado: (2024)
por: Hu, Zeyuan, et al.
Publicado: (2024)
Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
por: Shu, Ruiqi, et al.
Publicado: (2024)
por: Shu, Ruiqi, et al.
Publicado: (2024)
Cracking the Code of Arctic Sea Ice: Why Models Fail to Predict Its Retreat?
por: Gou, Ruijian, et al.
Publicado: (2025)
por: Gou, Ruijian, et al.
Publicado: (2025)
Ejemplares similares
-
A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
por: Bodner, Abigail, et al.
Publicado: (2023) -
A Theory for Wind Work on Oceanic Mesoscales and Submesoscales
por: Rai, Shikhar, et al.
Publicado: (2024) -
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks
por: Sane, Aakash, et al.
Publicado: (2023) -
Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
por: Zhu, Yuhang, et al.
Publicado: (2026) -
Towards a Unified Data-Driven Boundary Layer Momentum Flux Parameterization for Ocean and Atmosphere
por: Falga, Renaud, et al.
Publicado: (2025)