AMT - Wind speed and direction estimation from wave spectra using deep learning

AMT – Volume 15, issue 1

A Deep Learning–Based Approach for Empirical Modeling of Single-Point Wave Spectra in Open Oceans in: Journal of Physical Oceanography Volume 53 Issue 9 (2023)

Remote Sensing, Free Full-Text

PDF) Estimating Turbulence Statistics and Parameters from Ground- and Nacelle-Based Lidar Measurements; IEA Wind Expert Report

Energies, Free Full-Text

AMT - Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

Smart multi-step deep learning model for wind speed forecasting

A Deep Learning–Based Approach for Empirical Modeling of Single-Point Wave Spectra in Open Oceans in: Journal of Physical Oceanography Volume 53 Issue 9 (2023)

Frontiers A neural network approach to the estimation of in-water attenuation to absorption ratios from PACE mission measurements

Deep learning approach for wind speed forecasts at turbine locations in a wind farm - Kou - 2020 - IET Renewable Power Generation - Wiley Online Library

Satellite Remote Sensing of Surface Winds, Waves, and Currents: Where are we Now?