A Machine Learning Framework for Extending Wave Height Time Series Using Historical Wind Records
Fuente:
arXiv
Saved in:
| Main Authors: | Abdelhady, Hazem U., Troy, Cary D. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Deep Learning Approach for Modeling and Hindcasting Lake Michigan Ice Cover
by: Abdelhady, Hazem, et al.
Published: (2024)
by: Abdelhady, Hazem, et al.
Published: (2024)
Shoreline Responses to Rapid Water Level Increases in Lake Michigan
by: Abdelhady, Hazem U., et al.
Published: (2023)
by: Abdelhady, Hazem U., et al.
Published: (2023)
Significant Wave Height Estimation Incorporating Second-Order Scattering
by: Chandrasekara, Senal, et al.
Published: (2026)
by: Chandrasekara, Senal, et al.
Published: (2026)
A Novel Hybrid Machine Learning Model for Rapid Assessment of Wave and Storm Surge Responses Over an Extended Coastal Region
by: Naeini, Saeed Saviz, et al.
Published: (2024)
by: Naeini, Saeed Saviz, et al.
Published: (2024)
Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
by: Zheng, Tianmu, et al.
Published: (2025)
by: Zheng, Tianmu, et al.
Published: (2025)
Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)
by: Lin, Chensen, et al.
Published: (2025)
Wind-induced Natural Gamma Radiation
by: Chilingarian, A., et al.
Published: (2025)
by: Chilingarian, A., et al.
Published: (2025)
A Hybrid Analytical Framework for Asymmetric Pressure and Boundary Layer Wind Simulation in Nor'easters
by: Mirfakhar, Seyedeh Fatemeh, et al.
Published: (2025)
by: Mirfakhar, Seyedeh Fatemeh, et al.
Published: (2025)
A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds
by: Snaiki, Reda, et al.
Published: (2025)
by: Snaiki, Reda, et al.
Published: (2025)
Quantifying the Influence of Climate on Storm Activity Using Machine Learning
by: Hadas, Or, et al.
Published: (2025)
by: Hadas, Or, et al.
Published: (2025)
Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates
by: Sun, Yixuan, et al.
Published: (2024)
by: Sun, Yixuan, et al.
Published: (2024)
Improving Significant Wave Height Prediction Using Chronos Models
by: Zhai, Yilin, et al.
Published: (2025)
by: Zhai, Yilin, et al.
Published: (2025)
Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe
by: Effenberger, Nina, et al.
Published: (2025)
by: Effenberger, Nina, et al.
Published: (2025)
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
by: Li, Zhe, et al.
Published: (2024)
by: Li, Zhe, et al.
Published: (2024)
Organization of Historical Oceanic Overturnings on Cross-Sphere Climate Signals
by: Jiang, Yingjing, et al.
Published: (2025)
by: Jiang, Yingjing, et al.
Published: (2025)
Two-Phase Flow Simulations of Surface Waves in Wind-Forced Conditions
by: Loft, Malte, et al.
Published: (2022)
by: Loft, Malte, et al.
Published: (2022)
Hydrodynamic Modeling Improvements for Floating Offshore Wind Turbines with Validation Results
by: Sarker, Doyal, et al.
Published: (2025)
by: Sarker, Doyal, et al.
Published: (2025)
Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone
by: Meng, Ruoke, et al.
Published: (2025)
by: Meng, Ruoke, et al.
Published: (2025)
The Design and Performance of Meteorological Sensors for WindBorne Global Sounding Balloons
by: Spisak, Jake, et al.
Published: (2026)
by: Spisak, Jake, et al.
Published: (2026)
Predicting Coastal Water Levels in the Context of Climate Change Using Kolmogorov-Zurbenko Time Series Analysis Methods
by: Loneck, Barry, et al.
Published: (2024)
by: Loneck, Barry, et al.
Published: (2024)
Predictability of Storms in an Idealized Climate Revealed by Machine Learning
by: Yao, Wuqiushi, et al.
Published: (2025)
by: Yao, Wuqiushi, et al.
Published: (2025)
Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
by: Hu, Zeyuan, et al.
Published: (2024)
by: Hu, Zeyuan, et al.
Published: (2024)
A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the gamma-Index
by: Voyant, Cyril
Published: (2026)
by: Voyant, Cyril
Published: (2026)
Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
by: Heuer, Helge, et al.
Published: (2023)
by: Heuer, Helge, et al.
Published: (2023)
Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes
by: Ismaili, Erisa, et al.
Published: (2026)
by: Ismaili, Erisa, et al.
Published: (2026)
Tracking Summer Greenland Blocking: the Upstream Pathway Shapes Historical Extremes and Future Change
by: Filippucci, Michele, et al.
Published: (2026)
by: Filippucci, Michele, et al.
Published: (2026)
Amplified Summer Wind Stilling and Land Warming Compound Energy Risks in Northern Midlatitudes
by: Zhang, Gan
Published: (2024)
by: Zhang, Gan
Published: (2024)
Rotational and Irrotational Wind Forcing as dual drivers of El Nino Southern Oscillation variability
by: Borzelli, Gian Luca Eusebi, et al.
Published: (2025)
by: Borzelli, Gian Luca Eusebi, et al.
Published: (2025)
Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method
by: Becker, Charlie, et al.
Published: (2025)
by: Becker, Charlie, et al.
Published: (2025)
Impact of Wave Interference on the Consistency Relations of Internal Gravity Waves near the Ocean Bottom
by: Wang, Guangyao, et al.
Published: (2025)
by: Wang, Guangyao, et al.
Published: (2025)
Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network
by: Hu, Jiahui, et al.
Published: (2026)
by: Hu, Jiahui, et al.
Published: (2026)
Enhanced Hydrodynamic Modeling of Offshore Wind Turbines using Morison's Equation with Frequency-Dependent Coefficients
by: Sakif, Md, et al.
Published: (2025)
by: Sakif, Md, et al.
Published: (2025)
Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities
by: Han, Yushan, et al.
Published: (2026)
by: Han, Yushan, et al.
Published: (2026)
Modeling Snow on Sea Ice using Physics Guided Machine Learning
by: Prasad, Ayush, et al.
Published: (2024)
by: Prasad, Ayush, et al.
Published: (2024)
A Physics-Informed Machine Learning Approach utilizing Multiband Satellite Data for Solar Irradiance Estimation
by: Sasaki, Jun, et al.
Published: (2024)
by: Sasaki, Jun, et al.
Published: (2024)
Revisiting the Quasi Biennial Oscillation as Seen in ERA5.Part II: Evaluation of Waves and Wave Forcing
by: Pahlavan, Hamid A., et al.
Published: (2020)
by: Pahlavan, Hamid A., et al.
Published: (2020)
Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models
by: Zhang, G., et al.
Published: (2026)
by: Zhang, G., et al.
Published: (2026)
Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)
by: Fan, Hang, et al.
Published: (2025)
Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning
by: Kieu, Chanh, et al.
Published: (2025)
by: Kieu, Chanh, et al.
Published: (2025)
Regimes of Near-Inertial Wave Dynamics
by: Conn, Scott, et al.
Published: (2024)
by: Conn, Scott, et al.
Published: (2024)
Similar Items
-
A Deep Learning Approach for Modeling and Hindcasting Lake Michigan Ice Cover
by: Abdelhady, Hazem, et al.
Published: (2024) -
Shoreline Responses to Rapid Water Level Increases in Lake Michigan
by: Abdelhady, Hazem U., et al.
Published: (2023) -
Significant Wave Height Estimation Incorporating Second-Order Scattering
by: Chandrasekara, Senal, et al.
Published: (2026) -
A Novel Hybrid Machine Learning Model for Rapid Assessment of Wave and Storm Surge Responses Over an Extended Coastal Region
by: Naeini, Saeed Saviz, et al.
Published: (2024) -
Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
by: Zheng, Tianmu, et al.
Published: (2025)