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

Fluids, Free Full-Text

AMT - High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning

Remote Sensing, Free Full-Text

Identification of natural and anthropogenic signals in controlled source seismic experiments

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

Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia - Aerosol and Air Quality Research

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)

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

Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia - Aerosol and Air Quality Research

PDF) Wind Speed and Direction Estimation from Wave Spectra using

Frontiers Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling

AMT - Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel